CVPR 2019 论文汇总(按方向划分,0506 更新中)

作为计算机视觉领域三大顶会之一,CVPR2019(2019.6.16-6.19在美国洛杉矶举办)被CVers 重点关注。目前CVPR 2019 接收结果已经出来啦,相关报道:1300篇!CVPR2019接收结果公布,你中了吗?

 

  • cvpr2019 accepted papers title(官方分类)
  • Github论文汇总链接(欢迎star)
  • 论文PDF下载(更新中,提取码:osvy)
  • 论文解读汇总

 

 

目录:(也欢迎大家推荐自己的CVPR2019文章,以下篇幅较大,分类如有错误欢迎留言指出和补充谢谢~)

检测 28

分割 36

分类、识别 15

跟踪 19

人脸 8

人体姿态估计、位姿估计 18

行为/动作识别、手势识别 10

时序动作检测、视频相关 18

Related to Networks 34

GAN、图像文本生成 21

图像/视频处理、超分辨 18

点云、三维重建 25

VQA、视觉语言导航 10

OCR、文本检测 8

自动驾驶、SLAM 12

人群计数 3

数据集 6

行人重识别、行人检测 8

其他 254

 

 

检测

1、Stereo R-CNN based 3D Object Detection for Autonomous Driving

作者:Peiliang Li, Xiaozhi Chen, Shaojie Shen

论文链接:https://arxiv.org/abs/1902.09738

 

 

2、Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression

作者:Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian Reid, Silvio Savarese

论文链接:https://arxiv.org/abs/1902.09630

论文解读:https://mp.weixin.qq.com/s/6QsyYtEVjavoLfU_lQF1pw

 

 

3、ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape 作者:Fabian Manhardt, Wadim Kehl, Adrien Gaidon

论文链接:https://arxiv.org/abs/1812.02781

 

 

4、Bi-Directional Cascade Network for Perceptual Edge Detection

作者:Jianzhong He, Shiliang Zhang, Ming Yang, Yanhu Shan, Tiejun Huang

论文链接:https://arxiv.org/abs/1902.10903

Github源码:https://github.com/pkuCactus/BDCN

 

 

5、RepMet: Representative-based metric learning for classification and one-shot object detection

作者:Leonid Karlinsky, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides, Rogerio Feris, Raja Giryes, Alex M. Bronstein

论文链接:https://arxiv.org/abs/1806.04728

 

 

6、Region Proposal by Guided Anchoring

作者:Jiaqi Wang, Kai Chen, Shuo Yang, Chen Change Loy, Dahua Lin

论文链接:https://arxiv.org/abs/1901.03278

论文解读:https://mp.weixin.qq.com/s/Sl958JkcJjy-HW9_c-SH4g

Github链接:https://github.com/open-mmlab/mmdetection

 

 

7、Less is More: Learning Highlight Detection from Video Duration

作者:Bo Xiong, Yannis Kalantidis, Deepti Ghadiyaram, Kristen Grauman

论文链接:https://arxiv.org/abs/1903.00859

 

 

8、AIRD: Adversarial Learning Framework for Image Repurposing Detection

作者:Ayush Jaiswal, Yue Wu, Wael AbdAlmageed, Iacopo Masi, Premkumar Natarajan

论文链接:https://arxiv.org/abs/1903.00788

 

 

9、Feature Selective Anchor-Free Module for Single-Shot Object Detection

作者:Chenchen Zhu, Yihui He, Marios Savvides

论文链接:https://arxiv.org/abs/1903.00621

论文解读:CVPR2019 | FSAF:来自CMU的Single-Shot目标检测算法

一作直播:CVPR2019 专题直播 | CMU 诸宸辰:基于 Anchor-free 特征选择模块的单阶目标检测

 

 

10、Learning Attraction Field Representation for Robust Line Segment Detection

作者:Nan Xue, Song Bai, Fudong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang

论文链接:https://arxiv.org/abs/1812.02122

代码链接:https://github.com/cherubicXN/afm_cvpr2019

 

 

11、Latent Space Autoregression for Novelty Detection

作者:Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara

论文链接:https://arxiv.org/abs/1807.01653

代码链接: https://github.com/aimagelab/novelty-detection

 

12、Strong-Weak Distribution Alignment for Adaptive Object Detection

作者:Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko

论文链接:https://arxiv.org/abs/1812.04798

 

 

13、Few-shot Adaptive Faster R-CNN

作者:Tao Wang, Xiaopeng Zhang, Li Yuan, Jiashi Feng

论文链接:https://arxiv.org/abs/1903.09372

 

 

14、Attention Based Glaucoma Detection: A Large-scale Database and CNN Model

作者:Liu Li, Mai Xu, Xiaofei Wang, Lai Jiang, Hanruo Liu

论文链接:https://arxiv.org/abs/1903.10831

 

 

15、Bounding Box Regression with Uncertainty for Accurate Object Detection(目标检测边界框回归损失算法)

作者:Yihui He, Chenchen Zhu, Jianren Wang, Marios Savvides, Xiangyu Zhang

论文链接:https://arxiv.org/abs/1809.08545

代码链接:https://github.com/yihui-he/KL-Loss

 

16、Precise Detection in Densely Packed Scenes

作者:Eran Goldman , Roei Herzig, Aviv Eisenschtat, Jacob Goldberger, Tal Hassner

论文链接:https://arxiv.org/abs/1904.00853

 

 

17、Activity Driven Weakly Supervised Object Detection

作者:Zhenheng Yang, Dhruv Mahajan, Deepti Ghadiyaram, Ram Nevatia, Vignesh Ramanathan

论文链接:https://arxiv.org/pdf/1904.01665.pdf

 

 

18、Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction

作者:Jason Ku, Alex D. Pon, Steven L. Waslander

论文链接:https://arxiv.org/pdf/1904.01690.pdf

 

 

19、Libra R-CNN: Towards Balanced Learning for Object Detection(目标检测)

作者:Jiangmiao Pang, Kai Chen, Jianping Shi, Huajun Feng, Wanli Ouyang, Dahua Lin

论文链接:https://arxiv.org/abs/1904.02701

 

 

20、Moving Object Detection under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition

作者:Moein Shakeri, Hong Zhang

论文链接:https://arxiv.org/abs/1904.03175

 

 

21、Towards Universal Object Detection by Domain Attention

作者:Xudong Wang, Zhaowei Cai, Dashan Gao, Nuno Vasconcelos

论文链接:https://arxiv.org/abs/1904.04402

项目链接:http://www.svcl.ucsd.edu/projects/universal-detection/

 

 

22、NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection

作者:Golnaz Ghiasi, Tsung-Yi Lin, Ruoming Pang, Quoc V. Le

论文链接:https://arxiv.org/abs/1904.07392

 

 

23、Deep Anomaly Detection for Generalized Face Anti-Spoofing

作者:Daniel Pérez-Cabo, David Jiménez-Cabello, Artur Costa-Pazo, Roberto J. López-Sastre

论文链接:https://arxiv.org/abs/1904.08241

 

 

24、Cascaded Partial Decoder for Fast and Accurate Salient Object Detection

作者:Zhe Wu, Li Su, Qingming Huang

论文链接:https://arxiv.org/abs/1904.08739

 

 

25、A Simple Pooling-Based Design for Real-Time Salient Object Detection

作者:Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, Jianmin Jiang

论文链接:https://arxiv.org/abs/1904.09569

源码链接:http://mmcheng.net/poolnet/

 

26、CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection

作者:Lu Zhang; Huchuan Lu ; Zhe Lin ; Jianming Zhang; You He

论文链接:https://drive.google.com/open?id=1JcZMHBXEX-7AR1P010OXg_wCCC5HukeZ (需要申请)

源码链接:https://github.com/zhangludl/code-and-dataset-for-CapSal

 

 

27、Deep Fitting Degree Scoring Network for Monocular 3D Object Detection

作者:Lijie Liu1, Jiwen Lu, Chunjing Xu, Qi Tian, Jie Zhou

论文链接:https://arxiv.org/pdf/1904.12681.pdf

 

 

28、A Mutual Learning Method for Salient Object Detection with intertwined Multi-Supervision

作者:Runmin Wu, Mengyang Feng, Wenlong Guan, Dong Wang, Huchuan Lu, Errui Ding

论文链接:待定

源码链接:https://github.com/JosephineRabbit/MLMSNet

 

 

29、ScratchDet:Exploring to Train Single-Shot Object Detectors from Scratch(Oral)

作者:Rui Zhu, Shifeng Zhang, Xiaobo Wang, Longyin Wen, Hailin Shi, Liefeng Bo, Tao Mei

论文链接:https://arxiv.org/abs/1810.08425v3

源码链接:https://github.com/KimSoybean/ScratchDet

论文解读:CVPR 2019 Oral | 京东AI研究院提出 ScratchDet:随机初始化训练SSD目标检测器

 

 

 

分割

1、Attention-guided Unified Network for Panoptic Segmentation

作者:Yanwei Li, Xinze Chen, Zheng Zhu, Lingxi Xie, Guan Huang, Dalong Du, Xingang Wang

论文链接:https://arxiv.org/abs/1812.03904

论文解读:https://mp.weixin.qq.com/s/1tohID6SM3weS476XU5okw

 

 

2、FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation

作者:Paul Voigtlaender, Yuning Chai, Florian Schroff, Hartwig Adam, Bastian Leibe, Liang-Chieh Chen

论文链接:https://arxiv.org/abs/1902.09513

 

 

3、Associatively Segmenting Instances and Semantics in Point Clouds

作者:Xinlong Wang, Shu Liu, Xiaoyong Shen, Chunhua Shen, Jiaya Jia

论文链接:https://arxiv.org/abs/1902.09852

代码链接:https://github.com/WXinlong/ASIS

 

 

4、3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans

作者:Ji Hou Angela Dai Matthias Nießner

论文链接:https://niessnerlab.org/projects/hou20183dsis.html

YouTube视频:https://youtu.be/IH9rNLD1-JE

 

 

5、Data augmentation using learned transforms for one-shot medical image segmentation

作者:Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca

论文链接:https://arxiv.org/abs/1902.09383

 

 

6、FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference

作者:Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon

论文链接:https://arxiv.org/abs/1902.10421

 

 

7、Dual Attention Network for Scene Segmentation

作者:Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang, Hanqing Lu

论文链接:https://arxiv.org/abs/1809.02983

Github源码:https://github.com/junfu1115/DANet

 

 

8、Mask Scoring R-CNN

作者:Zhaojin Huang, Lichao Huang, Yongchao Gong, Chang Huang, Xinggang Wang

论文链接:https://arxiv.org/abs/1903.00241

Github链接:https://github.com/zjhuang22/maskscoring_rcnn

论文解读:https://mp.weixin.qq.com/s/aP7O7AF6WoynWK_FFHkOTw

 

 

9、Hybrid Task Cascade for Instance Segmentation(实例分割)

作者:Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin

论文链接:https://arxiv.org/abs/1901.07518

论文解读:https://mp.weixin.qq.com/s/xug0xKfc9RgJEUci1a_xog

Github链接:https://github.com/open-mmlab/mmdetection

 

 

10、Object Counting and Instance Segmentation with Image-level Supervision

作者:Hisham Cholakkal, Guolei Sun (equal contribution), Fahad Shahbaz Khan, Ling Shao

论文链接:https://arxiv.org/abs/1903.02494

 

 

11、MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation

作者:Yazan Abu Farha, Juergen Gall

论文链接:https://arxiv.org/abs/1903.01945

 

 

12、Structured Knowledge Distillation for Semantic Segmentation(语义分割)

作者:Yifan Liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo, Jingdong Wang

论文链接:https://arxiv.org/abs/1903.04197

 

 

13、RVOS: End-to-End Recurrent Network for Video Object Segmentation

作者:Carles Ventura, Miriam Bellver, Andreu Girbau, Amaia Salvador, Ferran Marques, Xavier Giro-i-Nieto

论文链接:https://arxiv.org/abs/1903.05612

项目链接:https://imatge-upc.github.io/rvos/

 

 

14、Structured Knowledge Distillation for Semantic Segmentation(语义分割)

作者:Yifan Liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo, Jingdong Wang

论文链接:https://arxiv.org/abs/1903.04197

 

 

15、Knowledge Adaptation for Efficient Semantic Segmentation(语义分割)

作者:Tong He, Chunhua Shen, Zhi Tian, Dong Gong, Changming Sun, Youliang Yan

论文链接:https://arxiv.org/abs/1903.04688

 

 

16、Improving Semantic Segmentation via Video Propagation and Label Relaxation(oral)

作者:Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn Newsam, Andrew Tao, Bryan Catanzaro

论文链接:https://arxiv.org/abs/1812.01593

 

 

17、In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images

作者:Marin Oršić, Ivan Krešo, Petra Bevandić, Siniša Šegvić

论文链接:https://arxiv.org/abs/1903.08469

代码链接:https://github.com/orsic/swiftnet

 

 

18、Large-scale interactive object segmentation with human annotators

作者:Rodrigo Benenson, Stefan Popov, Vittorio Ferrari

论文链接:https://arxiv.org/abs/1903.10830

BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames

作者:Brent A. Griffin, Jason J. Corso

论文链接:https://arxiv.org/abs/1903.11779

 

 

19、Pose2Seg: Detection Free Human Instance Segmentation

作者:Song-Hai Zhang, Ruilong Li, Xin Dong, Paul L. Rosin, Zixi Cai, Han Xi, Dingcheng Yang, Hao-Zhi Huang, Shi-Min Hu

论文链接:https://arxiv.org/abs/1803.10683

项目链接:http://www.liruilong.cn/Pose2Seg/index.html

代码链接:https://github.com/liruilong940607/OCHumanApi

 

 

20、BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames

作者:Brent A. Griffin, Jason J. Corso

论文链接:https://arxiv.org/abs/1903.11779

 

 

21、JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields(Oral)

作者:Quang-Hieu Pham, Duc Thanh Nguyen, Binh-Son Hua, Gemma Roig, Sai-Kit Yeung

论文链接:https://arxiv.org/abs/1904.00699

项目链接:https://pqhieu.github.io/cvpr19.html

 

 

22、Spatiotemporal CNN for Video Object Segmentation

作者:Kai Xu, Longyin Wen, Guorong Li, Liefeng Bo, Qingming Huang

论文链接:https://arxiv.org/abs/1904.02363

代码链接:https://github.com/longyin880815/STCNN

 

 

23、Data augmentation using learned transformsfor one-shot medical image segmentation

作者:Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca

论文链接:https://arxiv.org/pdf/1902.09383.pdf

源码链接:https://github.com/xamyzhao/brainstorm

 

 

24、DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral )

作者:Kuang-Jui Hsu, Yen-Yu Lin, Yung-Yu Chuang

论文链接:http://cvlab.citi.sinica.edu.tw/images/paper/cvpr-hsu19.pdf

源码链接:https://github.com/KuangJuiHsu/DeepCO3

 

 

25、Cross-Modal Self-Attention Network for Referring Image Segmentation

作者:Linwei Ye, Mrigank Rochan, Zhi Liu, Yang Wang

论文链接:https://arxiv.org/abs/1904.04745

 

 

26、Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations(Oral)

作者:Jiwoon Ahn, Sunghyun Cho, Suha Kwak

论文链接:https://arxiv.org/abs/1904.05044

 

 

27、Adaptive Weighting Multi-Field-of-View CNN for Semantic Segmentation in Pathology

作者:Hiroki Tokunaga, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise

论文链接:https://arxiv.org/abs/1904.06040

 

 

28、A Relation-Augmented Fully Convolutional Network for Semantic Segmentationin Aerial Scenes

作者:Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu

论文链接:https://arxiv.org/abs/1904.05730

 

 

29、DFANet:Deep Feature Aggregation for Real-Time Semantic Segmentation(旷视)

作者:Hanchao Li, Pengfei Xiong,Haoqiang Fan,Jian Sun

论文链接:https://share.weiyun.com/5NgHbWH

 

 

30、Exploiting Computation Power of Blockchain for Biomedical Image Segmentation

作者:Boyang Li, Changhao Chenli, Xiaowei Xu, Taeho Jung, Yiyu Shi

论文链接:https://arxiv.org/abs/1904.07349

 

 

31、MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation(Oral)

作者:Shuangjie Xu, Daizong Liu, Linchao Bao, Wei Liu, Pan Zhou

论文链接:https://arxiv.org/abs/1904.08141

 

 

32、Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds

作者:Zihao Liu, Xiaowei Xu, Tao Liu, Qi Liu, Yanzhi Wang, Yiyu Shi, Wujie Wen, Meiping Huang, Haiyun Yuan, Jian Zhuang

论文链接:https://arxiv.org/abs/1904.08487

 

 

33、Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks

作者:Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim

论文链接:https://arxiv.org/abs/1904.09791

 

 

34、Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation

作者:Chunfeng Song, Yan Huang, Wanli Ouyang, Liang Wang

论文链接:https://arxiv.org/abs/1904.11693

 

 

35、Bidirectional Learning for Domain Adaptation of Semantic Segmentation

作者:Yunsheng Li, Lu Yuan, Nuno Vasconcelos

论文链接:https://arxiv.org/abs/1904.10620

源码链接:https://github.com/liyunsheng13/BDL

 

 

36、Learning Unsupervised Video Primary Object Segmentation through Visual Attention

作者:Wenguan Wang, Hongmei Song, Shuyang Zhao, Jianbing Shen, Sanyuan Zhao, Steven Chu Hong Hoi, and Haibin Ling

论文链接:http://www.dabi.temple.edu/~hbling/publication/UVOS-cvpr19.pdf

源码链接:https://github.com/wenguanwang/AGS

 

 

 

分类、识别

1、Learning a Deep ConvNet for Multi-label Classification with Partial Labels(分类)

作者:Thibaut Durand, Nazanin Mehrasa, Greg Mori

论文链接:https://arxiv.org/abs/1902.09720

 

 

2、Efficient Video Classification Using Fewer Frames

作者:Shweta Bhardwaj, Mukundhan Srinivasan, Mitesh M. Khapra

论文链接:https://arxiv.org/abs/1902.10640

 

 

3、Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up

作者:Weifeng Ge, Xiangru Lin, Yizhou Yu

论文链接:https://arxiv.org/abs/1903.02827

 

 

4、All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification(分类)

作者:Weijie Chen, Di Xie, Yuan Zhang, Shiliang Pu

论文链接:https://arxiv.org/abs/1903.05285

 

 

5、Bag of Tricks for Image Classification with Convolutional Neural Networks

作者:Tong He, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li

论文链接:https://arxiv.org/abs/1812.01187

源码链接:https://github.com/dmlc/gluon-cv

论文解读:图像分类技巧:Bag of Tricks for Image Classification with Convolutional Neural Networks

 

 

6、Direct Object Recognition Without Line-of-Sight Using Optical Coherence(目标识别)

作者:Xin Lei, Liangyu He, Yixuan Tan, Ken Xingze Wang, Xinggang Wang, Yihan Du, Shanhui Fan, Zongfu Yu

论文链接:https://arxiv.org/abs/1903.07705

 

 

7、Direct Object Recognition Without Line-of-Sight Using Optical Coherence(非视距物体识别技术)

作者:Xin Lei, Liangyu He, Yixuan Tan, Ken Xingze Wang, Xinggang Wang, Yihan Du, Shanhui Fan, Zongfu Yu

论文链接:https://arxiv.org/abs/1903.07705

 

 

8、C2AE: Class Conditioned Auto-Encoder for Open-set Recognition(Oral)

作者:Poojan Oza, Vishal M Patel

论文链接:https://arxiv.org/abs/1904.01198

 

 

9、Multispectral Imaging for Fine-Grained Recognition of Powders on Complex Backgrounds(Oral)

作者:Tiancheng Zhi, Bernardo R. Pires, Martial Hebert and Srinivasa G. Narasimhan

论文链接:http://www.cs.cmu.edu/~ILIM/projects/IM/MSPowder/files/ZPHN-CVPR19.pdf

代码链接:https://github.com/tiancheng-zhi/ms-powder

项目链接:http://www.cs.cmu.edu/~ILIM/projects/IM/MSPowder/

 

 

10、Large-Scale Long-Tailed Recognition in an Open World(Oral)

作者:Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu

论文链接:https://github.com/ofsoundof/3D_Appearance_SR/blob/master/code/scripts/3d_appearance_sr.pdf

源码链接:https://github.com/zhmiao/OpenLongTailRecognition-OLTR

 

 

11、Multi-Label Image Recognition with Graph Convolutional Networks(多标签图像识别)

作者:Zhao-Min Chen, Xiu-Shen Wei, Peng Wang, Yanwen Guo

论文链接:https://arxiv.org/abs/1904.03582

源码链接:https://github.com/chenzhaomin123/ML_GCN

简介:本工作针对多标记识别的核心问题,即“如何有效建模标记间的协同关系”进行探索,提出基于图卷积(GCN)的端到端系统,通过data-driven方式建立标记间有向图(directed graph)并由GCN将类别标记映射(mapping)为对应类别分类器,以此建模类别关系,同时可提升表示学习能力。此外针对GCN中的关键元素correlation matrix进行了深入分析和重设计,使其更胜任多标记问题。

 

 

12、Gait Recognition via Disentangled Representation Learning(Oral 步态识别)

作者:Ziyuan Zhang, Luan Tran, Xi Yin, Yousef Atoum, Xiaoming Liu, Jian Wan, Nanxin Wang

论文链接:https://arxiv.org/abs/1904.04925

 

 

13、Adaptively Connected Neural Networks(分类)

作者:Guangrun Wang, Keze Wang, Liang Lin

论文链接:https://arxiv.org/abs/1904.03579

源码链接:https://github.com/wanggrun/Adaptively-Connected-Neural-Networks

 

 

14、Aggregation Cross-Entropy for Sequence Recognition

作者:Zecheng Xie, Yaoxiong Huang, Yuanzhi Zhu, Lianwen Jin, Yuliang Liu, Lele Xie

论文链接:https://arxiv.org/abs/1904.08364

 

 

15、Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset

作者:Martin Mundt, Sagnik Majumder, Sreenivas Murali, Panagiotis Panetsos, Visvanathan Ramesh

论文链接:https://arxiv.org/abs/1904.08486

 

 

16、Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization

作者:Junbao Zhuo, Shuhui Wang, Shuhao Cui, Qingming Huang

论文链接:https://arxiv.org/abs/1904.08631

 

 

17、Translate-to-Recognize Networks for RGB-D Scene Recognition

作者:Dapeng Du, Limin Wang, Huiling Wang, Kai Zhao, Gangshan Wu

论文链接:https://arxiv.org/abs/1904.12254

源码链接:

https://ownstyledu.github.io/Translate-to-Recognize-Networks/

 

 

 

跟踪

1、Fast Online Object Tracking and Segmentation: A Unifying Approach(SiamMask,目标跟踪)

作者:Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, Philip H.S. Torr

论文链接:https://arxiv.org/abs/1812.05050

Github链接:https://github.com/foolwood/SiamMask

project链接:http://www.robots.ox.ac.uk/~qwang/SiamMask/

论文解读:CVPR2019 | SiamMask:视频跟踪最高精度

 

 

2、Deeper and Wider Siamese Networks for Real-Time Visual Tracking(CIR,目标跟踪)

作者:Zhipeng Zhang, Houwen Peng

论文链接:https://arxiv.org/pdf/1901.01660.pdf

Code链接:https://gitlab.com/MSRA_NLPR/deeper_wider_siamese_trackers

 

 

3、SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks(目标跟踪)

作者:Bo Li, Wei Wu, Qiang Wang, Fangyi Zhang, Junliang Xing, Junjie Yan

论文链接:https://arxiv.org/pdf/1812.11703.pdf

Project链接:http://bo-li.info/SiamRPN++/

论文解读:https://mp.weixin.qq.com/s/dB5u2No8eakLnrjto0kvyQ

 

 

4、Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking(CRPN,目标跟踪)

作者:Heng Fan, Haibin Ling

论文链接:https://arxiv.org/pdf/1812.06148.pdf

 

 

5、LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking(目标跟踪)

作者:Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling

论文链接:https://arxiv.org/pdf/1809.07845.pdf

project链接:https://cis.temple.edu/lasot/

 

 

6、Leveraging Shape Completion for 3D Siamese Tracking

作者:Silvio Giancola, Jesus Zarzar, Bernard Ghanem

论文链接:https://arxiv.org/abs/1903.01784

 

 

7、Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics(多目标跟踪)

作者:Yaron Meirovitch, Lu Mi, Hayk Saribekyan, Alexander Matveev, David Rolnick, Casimir Wierzynski, Nir Shavit

论文链接:https://arxiv.org/abs/1812.01157

 

 

8、Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation (POINT^2)

作者:Haofu Liao, Wei-An Lin, Jiarui Zhang, Jingdan Zhang, Jiebo Luo, S. Kevin Zhou

论文链接:https://arxiv.org/abs/1903.03896

 

 

9、Inverse Path Tracing for Joint Material and Lighting Estimation(Oral)

作者:Jiaxin Cheng, Yue Wu, Wael Abd-Almageed, Premkumar Natarajan

论文链接:https://arxiv.org/abs/1903.07145

 

 

10、Inverse Path Tracing for Joint Material and Lighting Estimation(Oral)

作者:Jiaxin Cheng, Yue Wu, Wael Abd-Almageed, Premkumar Natarajan

论文链接:https://arxiv.org/abs/1903.07145

 

11、Multi-person Articulated Tracking with Spatial and Temporal Embeddings

作者:Sheng Jin, Wentao Liu, Wanli Ouyang, Chen Qian

论文链接:https://arxiv.org/abs/1903.09214

 

 

12、CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification

作者:Zheng Tang, Milind Naphade, Ming-Yu Liu, Xiaodong Yang, Stan Birchfield, Shuo Wang, Ratnesh Kumar, David Anastasiu, Jenq-Neng Hwang

论文链接:https://arxiv.org/abs/1903.09254

 

 

13、MOTS: Multi-Object Tracking and Segmentation

作者:Paul Voigtlaender, Michael Krause, Aljosa Osep, Jonathon Luiten, Berin Balachandar Gnana Sekar, Andreas Geiger, Bastian Leibe

论文链接:https://arxiv.org/abs/1902.03604

 

 

14、Target-Aware Deep Tracking

作者:Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, Ming-Hsuan Yang

论文链接:https://arxiv.org/pdf/1904.01772.pdf

 

 

15、Unsupervised Deep Tracking

作者:Ning Wang, Yibing Song, Chao Ma, Wengang Zhou, Wei Liu, Houqiang Li

论文链接:https://arxiv.org/pdf/1904.01828.pdf

 

 

16、Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry(Oral)

作者:Fei Xue, Xin Wang, Shunkai Li, Qiuyuan Wang, Junqiu Wang, Hongbin Zha

论文链接:https://arxiv.org/abs/1904.01892

 

 

17、SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking(视觉跟踪)

作者:Guangting Wang, Chong Luo, Zhiwei Xiong, Wenjun Zeng

论文链接:https://arxiv.org/abs/1904.04452

 

 

18、Graph Convolutional Tracking

作者:Junyu Gao,Tianzhu Zhang,Changsheng Xu

论文链接:http://nlpr-web.ia.ac.cn/mmc/homepage/jygao/gct_cvpr2019.html

 

 

19、ATOM: Accurate Tracking by Overlap Maximization(Oral,目标跟踪)

作者:Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg

论文链接:https://arxiv.org/abs/1811.07628

源码链接:https://github.com/visionml/pytracking

 

 

 

人脸

1、Disentangled Representation Learning for 3D Face Shape

作者:Baris Gecer, Stylianos Ploumpis, Irene Kotsia, Stefanos Zafeiriou

论文链接:https://arxiv.org/abs/1902.05978

 

 

2、Joint Face Detection and Facial Motion Retargeting for Multiple Faces

作者:Bindita Chaudhuri, Noranart Vesdapunt, Baoyuan Wang

论文链接:https://arxiv.org/abs/1902.10744

 

 

3、ArcFace: Additive Angular Margin Loss for Deep Face Recognition(人脸识别)

作者:Jiankang Deng, Jia Guo, Niannan Xue, Stefanos Zafeiriou

论文链接:https://arxiv.org/abs/1801.07698

Demo链接:https://github.com/vita-epfl/openpifpafwebdemo

 

 

4、Linkage Based Face Clustering via Graph Convolution Network

作者:Zhongdao Wang, Liang Zheng, Yali Li, Shengjin Wang

论文链接:https://arxiv.org/abs/1903.11306

 

 

5、Learning to Cluster Faces on an Affinity Graph

作者:Lei Yang, Xiaohang Zhan, Dapeng Chen, Junjie Yan, Chen Change Loy, Dahua Lin

论文链接:https://arxiv.org/abs/1904.02749

 

 

6、Deep Tree Learning for Zero-shot Face Anti-Spoofing(Oral)

作者:Yaojie Liu, Joel Stehouwer, Amin Jourabloo, Xiaoming Liu

论文链接:https://arxiv.org/abs/1904.02860

 

 

7、Efficient Decision-based Black-box Adversarial Attacks on Face Recognition(人脸识别)

作者:Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, Jun Zhu

论文链接:https://arxiv.org/abs/1904.04433

 

 

8、Towards High-fidelity Nonlinear 3D Face Morphable Model

作者:Luan Tran, Feng Liu, Xiaoming Liu

论文链接:https://arxiv.org/abs/1904.04933

项目链接:http://cvlab.cse.msu.edu/project-nonlinear-3dmm.html

 

 

9、LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition from Image Sequences

作者:Sudhakar Kumawat, Manisha Verma, Shanmuganathan Raman

论文链接:https://arxiv.org/abs/1904.07647

 

 

 

人体姿态估计、位姿估计

1、Deep High-Resolution Representation Learning for Human Pose Estimation(目前SOTA,已经开源)

作者:Ke Sun, Bin Xiao, Dong Liu, Jingdong Wang

论文链接:https://128.84.21.199/abs/1902.09212

代码链接:https://github.com/leoxiaobin/deep-high-resolution-net.pytorch

论文解读:https://mp.weixin.qq.com/s/ZRCzBTBmlEzQCVo1HLWtbQ

 

 

2、DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion

作者:Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martín-Martín, Cewu Lu, Li Fei-Fei, Silvio Savarese

论文链接:https://arxiv.org/abs/1901.04780

论文解读:https://mp.weixin.qq.com/s/wrND2cocWlPPVXPqpq-Glg

 

 

3、RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation

作者:Bastian Wandt, Bodo Rosenhahn

论文链接:https://arxiv.org/abs/1902.09868

 

 

4、3D Hand Shape and Pose Estimation from a Single RGB Image

作者:Liuhao Ge, Zhou Ren, Yuncheng Li, Zehao Xue, Yingying Wang, Jianfei Cai, Junsong Yuan

论文链接:https://arxiv.org/abs/1903.00812

 

 

5、Self-Supervised Learning of 3D Human Pose using Multi-view Geometry

作者:Muhammed Kocabas, Salih Karagoz, Emre Akbas

论文链接:https://arxiv.org/abs/1903.02330

Github链接:https://github.com/mkocabas/EpipolarPose

 

 

6、Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views

作者:Junting Dong, Wen Jiang, Qixing Huang, Hujun Bao, Xiaowei Zhou

论文链接:https://arxiv.org/abs/1901.04111

项目链接:https://zju-3dv.github.io/mvpose/

代码链接:https://github.com/zju-3dv/mvpose

 

 

7、Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion (Oral)

作者:Zhenpei Yang, Jeffrey Z.Pan, Linjie Luo, Xiaowei Zhou, Kristen Grauman and Qixing Huang

论文链接:https://arxiv.org/pdf/1901.00063.pdf

代码链接: https://github.com/zhenpeiyang/RelativePose

 

 

8、PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation

作者:Sida Peng, Yuan Liu, Qixing Huang, Hujun Bao, and Xiaowei Zhou

论文链接:https://arxiv.org/pdf/1812.11788.pdf

 

 

9、PoseFix: Model-agnostic General Human Pose Refinement Network

作者:Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee

论文链接:https://arxiv.org/abs/1812.03595

源码链接:https://github.com/mks0601/PoseFix_RELEASE

 

 

10、Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation(oral)

作者:He Wang, Srinath Sridhar, Jingwei Huang, Julien Valentin, Shuran Song, Leonidas J. Guibas

论文链接:https://arxiv.org/abs/1901.02970

 

 

11、PifPaf: Composite Fields for Human Pose Estimation(姿态估计)

作者:Sven Kreiss, Lorenzo Bertoni, Alexandre Alahi

论文链接:https://arxiv.org/abs/1903.06593

Demo链接:https://github.com/vita-epfl/openpifpafwebdemo

 

 

12、Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation(Oral,3D姿态估计)

作者:Xipeng Chen, Kwan-Yee Lin, Wentao Liu, Chen Qian, Liang Lin

论文链接:https://arxiv.org/abs/1903.08839

 

 

13、CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark

作者:Jiefeng Li, Can Wang, Hao Zhu, Yihuan Mao, Hao-Shu Fang, Cewu Lu

论文链接:https://arxiv.org/abs/1812.00324

代码链接:https://github.com/Jeff-sjtu/CrowdPose

 

 

14、Dense Intrinsic Appearance Flow for Human Pose Transfer

作者:Yining Li, Chen Huang, Chen Change Loy

论文链接:https://arxiv.org/abs/1903.11326

 

 

15、Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network

作者:Chen Li, Gim Hee Lee

论文链接:https://arxiv.org/abs/1904.05547

 

 

16、FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image

作者:Tsun-Yi Yang, Yi-Ting Chen, Yen-Yu Lin, and Yung-Yu Chuang

论文链接:https://github.com/shamangary/FSA-Net/blob/master/0191.pdf

源码链接:https://github.com/shamangary/FSA-Net

 

 

17、Segmentation-driven 6D Object Pose Estimation

作者:Yinlin Hu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann

论文链接:https://arxiv.org/abs/1812.02541

源码链接:https://github.com/cvlab-epfl/segmentation-driven-pose

 

 

18、Progressive Pose Attention Transfer for Person Image Generation

作者:Zhen Zhu, Tengteng Huang, Baoguang Shi, Miao Yu, Bofei Wang, Xiang Bai

论文链接:https://arxiv.org/abs/1904.03349

源码链接:https://github.com/tengteng95/Pose-Transfer

 

 

 

行为/动作识别、手势识别

1、An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition

作者:Chenyang Si, Wentao Chen, Wei Wang, Liang Wang, Tieniu Tan

论文链接:https://arxiv.org/abs/1902.09130

 

 

2、Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition with Multimodal Training

作者:Mahdi Abavisani, Hamid Reza Vaezi Joze, Vishal M. Patel

链接:https://arxiv.org/abs/1812.06145

 

 

3、Collaborative Spatio-temporal Feature Learning for Video Action Recognition

作者:Chao Li, Qiaoyong Zhong, Di Xie, Shiliang Pu

论文链接:https://arxiv.org/abs/1903.01197

 

 

4、Peeking into the Future: Predicting Future Person Activities and Locations in Videos(行为预测)

作者:Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander Hauptmann, Li Fei-Fei

论文链接:https://arxiv.org/abs/1902.03748

 

 

5、Neural Scene Decomposition for Multi-Person Motion Capture

作者:Helge Rhodin, Victor Constantin, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua

论文链接:https://arxiv.org/abs/1903.05684

 

 

6、Action Recognition from Single Timestamp Supervision in Untrimmed Videos(动作识别)

作者:Davide Moltisanti, Sanja Fidler, Dima Damen

论文链接:https://arxiv.org/abs/1904.04689

 

 

7、Pushing the Envelope for RGB-based Dense 3D Hand Pose Estimation via Neural Rendering

作者:Seungryul Baek, Kwang In Kim, Tae-Kyun Kim

论文链接:https://arxiv.org/abs/1904.04196

 

 

8、Relational Action Forecasting(oral)

作者:Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid

论文链接:https://arxiv.org/abs/1904.04231

 

 

9、H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions(Oral)

作者:Bugra Tekin, Federica Bogo, Marc Pollefeys

论文链接:https://arxiv.org/abs/1904.05349

 

 

10、Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

作者:Devraj Mandal, Sanath Narayan, Saikumar Dwivedi, Vikram Gupta, Shuaib Ahmed, Fahad Shahbaz Khan, Ling Shao

论文链接:https://arxiv.org/abs/1904.08703

 

 

11、Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition

作者:Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, and Qi Tian

论文链接:https://arxiv.org/pdf/1904.12659.pdf

 

 

12、A neural network based on SPD manifold learning for skeleton-based hand gesture recognition

作者:Xuan Son Nguyen, Luc Brun, Olivier Lézoray, Sébastien Bougleux

论文链接:https://arxiv.org/abs/1904.12970

 

 

 

时序动作检测及视频相关

1、Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning

作者:Nayyer Aafaq, Naveed Akhtar, Wei Liu, Syed Zulqarnain Gilani, Ajmal Mian

论文链接:https://arxiv.org/abs/1902.10322

来源:https://mp.weixin.qq.com/s/61C-k3Ijy_7ry5B5lRML6Q

 

 

2、Single-frame Regularization for Temporally Stable CNNs(视频处理)

作者:Gabriel Eilertsen, Rafał K. Mantiuk, Jonas Unger

论文链接:https://arxiv.org/abs/1902.10424

来源:https://mp.weixin.qq.com/s/61C-k3Ijy_7ry5B5lRML6Q

 

 

3、Neural RGB-D Sensing: Depth estimation from a video

作者:Chao Liu, Jinwei Gu, Kihwan Kim, Srinivasa Narasimhan, Jan Kautz

论文链接:https://arxiv.org/pdf/1901.02571.pdf

project链接:https://research.nvidia.com/publication/2019-06_Neural-RGBD

 

 

4、Competitive Collaboration: Joint Unsupervised Learning of Depth, CameraMotion, Optical Flow and Motion Segmentation

作者:Anurag Ranjan, Varun Jampani, Kihwan Kim, Deqing Sun, Jonas Wulff, Michael J. Black

论文链接:https://arxiv.org/pdf/1805.09806.pdf

 

 

5、Representation Flow for Action Recognition

作者:AJ Piergiovanni, Michael S. Ryoo

论文链接:https://arxiv.org/abs/1810.01455

项目链接:https://piergiaj.github.io/rep-flow-site/

代码链接:https://github.com/piergiaj/representation-flow-cvpr19

 

 

6、Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos

作者:Romero Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Mansour, Svetha Venkatesh

论文链接:https://arxiv.org/abs/1903.03295

 

 

7、Video Generation from Single Semantic Label Map

作者:Junting Pan, Chengyu Wang, Xu Jia, Jing Shao, Lu Sheng, Junjie Yan, Xiaogang Wang

论文链接:https://arxiv.org/abs/1903.04480

源码链接:https://github.com/junting/seg2vid/tree/master

 

 

8、Inserting Videos into Videos

作者:Donghoon Lee, Tomas Pfister, Ming-Hsuan Yang

论文链接:https://arxiv.org/abs/1903.06571

 

 

9、Recurrent Back-Projection Network for Video Super-Resolution

作者:Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita

论文链接:https://alterzero.github.io/projects/rbpn_cvpr2019.pdf

代码链接:https://github.com/alterzero/RBPN-PyTorch

项目链接:https://alterzero.github.io/projects/RBPN.html

 

 

10、Depth-Aware Video Frame Interpolation

作者:Wenbo Bao Wei-Sheng Lai, Chao Ma, Xiaoyun Zhang, Zhiyong Gao, and Ming-Hsuan Yang

论文链接:https://sites.google.com/view/wenbobao/dain

代码链接:https://github.com/baowenbo/DAIN

 

 

11、Video Relationship Reasoning using Gated Spatio-Temporal Energy Graph

作者:Yao-Hung Hubert Tsai, Santosh Divvala, Louis-Philippe Morency, Ruslan Salakhutdinov, Ali Farhadi

论文链接:https://arxiv.org/abs/1903.10547

 

 

12、Dual Encoding for Zero-Example Video Retrieval

作者:Jianfeng Dong, Xirong Li, Chaoxi Xu, Shouling Ji, Yuan He, Gang Yang and Xun Wang

论文链接:https://arxiv.org/abs/1809.06181

代码链接:https://github.com/danieljf24/dual_encoding

 

 

13、Rethinking the Evaluation of Video Summaries

作者:Jacques Manderscheid, Amos Sironi, Nicolas Bourdis, Davide Migliore, Vincent Lepetit

论文链接:https://arxiv.org/abs/1903.11328

 

 

14、End-to-End Time-Lapse Video Synthesis from a Single Outdoor Image

作者:Seonghyeon Nam, Chongyang Ma, Menglei Chai, William Brendel, Ning Xu, Seon Joo Kim

论文链接:https://arxiv.org/abs/1904.00680

 

 

15、GolfDB: A Video Database for Golf Swing Sequencing

作者:William McNally, Kanav Vats, Tyler Pinto, Chris Dulhanty, John McPhee, Alexander Wong

论文链接:https://arxiv.org/abs/1903.06528v1

 

 

16、VORNet: Spatio-temporally Consistent Video Inpainting for Object Removal

作者:Ya-Liang Chang, Zhe Yu Liu, Winston Hsu

论文链接:https://arxiv.org/abs/1904.06726

 

 

17、STEP: Spatio-Temporal Progressive Learning for Video Action Detection(Oral)

作者:Xitong Yang, Xiaodong Yang, Ming-Yu Liu, Fanyi Xiao, Larry Davis, Jan Kautz

论文链接:https://arxiv.org/abs/1904.09288

 

18、UnOS: Unified Unsupervised Optical-flow and Stereo-depth Estimation by Watching Videos

作者:Yang Wang, Peng Wang, Zhenheng Yang, Chenxu Luo, Yi Yang, and Wei Xu

论文链接:https://arxiv.org/abs/1810.03654

 

 

 

Related to Networks

1、RePr: Improved Training of Convolutional Filters

作者:Aaditya Prakash, James Storer, Dinei Florencio, Cha Zhang

论文链接:https://arxiv.org/abs/1811.07275

 

 

2、Iterative Residual CNNs for Burst Photography Applications

作者:Filippos Kokkinos   Stamatis Lefkimmiatis

论文链接:https://arxiv.org/abs/1811.12197

 

 

3、SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360 degree Images

作者:Yeon Kun Lee, Jaeseok Jeong, Jong Seob Yun, Cho Won June, Kuk-Jin Yoon

论文链接:https://arxiv.org/abs/1811.08196

 

 

4、On the Continuity of Rotation Representations in Neural Networks

作者:Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, Hao Li

论文链接:https://arxiv.org/pdf/1812.07035.pdf

 

 

5、Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?

作者:Shilin Zhu, Xin Dong, Hao Su

论文链接:https://arxiv.org/abs/1806.07550

简要:Ensemble of binary neural networks has better stability and robustness, and may perform as well as floating-point networks.

 

 

6、A Neurobiological Evaluation Metric for Neural Network Model Search

作者:Nathaniel Blanchard, Jeffery Kinnison, Brandon RichardWebster, Pouya Bashivan, Walter J. Scheirer

论文链接:https://arxiv.org/pdf/1805.10726.pdf

 

 

7、MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment

作者:Da Zhang, Xiyang Dai, Xin Wang, Yuan-Fang Wang, Larry S. Davis

论文链接:https://arxiv.org/pdf/1812.00087.pdf

 

 

8、Multi-Step Prediction of Occupancy Grid Maps with Recurrent Neural Networks

作者:Nima Mohajerin, Mohsen Rohani

论文链接:https://arxiv.org/pdf/1812.09395.pdf

 

 

9、Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem(oral)

作者:Matthias Hein, Maksym Andriushchenko, Julian Bitterwolf

论文链接:https://arxiv.org/abs/1812.05720

Reading Note:In the paper, we give a theoretical argument of why ReLU activation can lead to models with overconfident predictions. Moreover, we propose a robust optimization training scheme that mitigates this problem.

 

 

10、RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion

作者:Jie Li, Yu Liu, Dong Gong, Qinfeng Shi, Xia Yuan, Chunxia Zhao, Ian Reid

论文链接:https://arxiv.org/abs/1903.00620

 

 

11、PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation

作者:Fenggen Yu, Kun Liu, Yan Zhang, Chenyang Zhu, Kai Xu

论文链接:https://arxiv.org/abs/1903.00709

 

 

12、3D Point-Capsule Networks

作者:Yongheng Zhao, Tolga Birdal, Haowen Deng, Federico Tombari

论文链接:https://arxiv.org/abs/1812.10775

 

 

13、CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning

作者:Chi Zhang, Guosheng Lin, Fayao Liu, Rui Yao, Chunhua Shen

论文链接:https://arxiv.org/abs/1903.02351

 

 

14、Path-Invariant Map Networks (Oral)

作者:Zaiwei Zhang, Zhenxiao Liang, Lemeng Wu, Xiaowei Zhou and Qixing Huang

论文链接:https://arxiv.org/pdf/1812.11647.pdf

代码链接: https://github.com/zaiweizhang/path_invariance_map_network

 

15、A Main/Subsidiary Network Framework for Simplifying Binary Neural Network

作者:Yinghao Xu, Xin Dong, Yudian Li, Hao Su

论文链接:https://arxiv.org/abs/1812.04210

简要:A simple learning-based binary neural network pruning scheme.

 

 

16、Knowledge-Embedded Routing Network for Scene Graph Generation

作者:Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin

论文链接:https://arxiv.org/abs/1903.03326

 

 

17、Knowledge-Embedded Routing Network for Scene Graph Generation

作者:Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin

论文链接:https://arxiv.org/abs/1903.03326

 

 

18、HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs

作者:Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri

论文链接:https://arxiv.org/abs/1903.04120

 

19、Large-scale Distributed Second-order Optimization Using Kronecker-factored Approximate Curvature for Deep Convolutional Neural Networks

作者:Kazuki Osawa, Yohei Tsuji, Yuichiro Ueno, Akira Naruse, Rio Yokota, Satoshi Matsuoka

论文链接:https://arxiv.org/abs/1811.12019

 

 

20、ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding

作者:Ning Liu, Yongchao Long, Changqing Zou, Qun Niu, Li Pan, Hefeng Wu

论文链接:https://arxiv.org/abs/1811.11968

 

 

21、LaSO: Label-Set Operations networks for multi-label few-shot learning(oral)

作者:Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogerio Feris, Raja Giryes, Alex M. Bronstein

论文链接:https://arxiv.org/abs/1902.09811

 

 

22、Selective Kernel Networks

作者:Xiang Li, Wenhai Wang, Xiaolin Hu, Jian Yang

论文链接:https://arxiv.org/abs/1903.06586

源码链接:https://github.com/implus/SKNet

 

 

23、Self-calibrating Deep Photometric Stereo Networks(Oral)

作者:Guanying Chen, Kai Han, Boxin Shi, Yasuyuki Matsushita, Kwan-Yee K. Wong

论文链接:https://arxiv.org/abs/1903.07366

项目链接:http://gychen.org/SDPS-Net/

代码链接:https://github.com/guanyingc/SDPS-Net

 

 

24、Self-calibrating Deep Photometric Stereo Networks(Oral)

作者:Guanying Chen, Kai Han, Boxin Shi, Yasuyuki Matsushita, Kwan-Yee K. Wong

论文链接:https://arxiv.org/abs/1903.07366

项目链接:http://gychen.org/SDPS-Net/

代码链接:https://github.com/guanyingc/SDPS-Net

 

 

25、Networks for Joint Affine and Non-parametric Image Registration

作者:Zhengyang Shen, Xu Han, Zhenlin Xu, Marc Niethammer

论文链接:https://arxiv.org/abs/1903.08811

 

 

26、Learning for Single-Shot Confidence Calibration in Deep Neural Networks through Stochastic Inferences

作者:Seonguk Seo, Paul Hongsuck Seo, Bohyung Han

论文链接:https://arxiv.org/abs/1810.02358

 

 

27、Towards Optimal Structured CNN Pruning via Generative Adversarial Learning

作者:Shaohui Lin, Rongrong Ji, Chenqian Yan, Baochang Zhang, Liujuan Cao, Qixiang Ye, Feiyue Huang, David Doermann

论文链接:https://arxiv.org/abs/1903.09291

 

 

28、TIN: Transferable Interactiveness Network

作者:Yong-Lu Li, Siyuan Zhou, Xijie Huang, Liang Xu, Ze Ma, Hao-Shu Fang, Yan-Feng Wang, Cewu Lu

论文链接:https://arxiv.org/abs/1811.08264

代码链接:https://github.com/DirtyHarryLYL/Transferable-Interactiveness-Network

 

 

29、Convolutional Neural Networks Deceived by Visual Illusions

作者:Alexander Gomez-Villa, Adrián Martín, Javier Vazquez-Corral, Marcelo Bertalmío

论文链接:https://arxiv.org/abs/1811.10565

 

 

30、Fully Learnable Group Convolution for Acceleration of Deep Neural Networks

作者:Xijun Wang, Meina Kan, Shiguang Shan, Xilin Chen

论文链接:https://arxiv.org/abs/1904.00346

 

 

31、Kervolutional Neural Networks

作者:Chen Wang, Jianfei Yang, Lihua Xie, Junsong Yuan

论文链接:https://arxiv.org/abs/1904.03955

 

 

32、Pixel-Adaptive Convolutional Neural Networks

作者:Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik Learned-Miller, Jan Kautz

论文链接:https://arxiv.org/abs/1904.05373

 

 

33、Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?

作者:Shilin Zhu, Xin Dong, Hao Su

论文链接:https://arxiv.org/abs/1806.07550

 

 

34、Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration(Oral)

作者:Yang He, Ping Liu, Ziwei Wang, Zhilan Hu, Yi Yang

论文链接:https://arxiv.org/abs/1811.00250

源码链接:https://github.com/he-y/filter-pruning-geometric-median

 

 

35、D2-Net: A Trainable CNN for Joint Detection and Description of Local Features

作者:Mihai Dusmanu, Ignacio Rocco, Tomas Pajdla, Marc Pollefeys, Josef Sivic, Akihiko Torii, Torsten Sattler

论文链接:https://dsmn.ml/publications/d2-net.html

源码链接:https://github.com/mihaidusmanu/d2-net

 

 

 

GAN、图像文本生成

1、Event-based High Dynamic Range Image and Very High Frame Rate Video Generation using Conditional Generative Adversarial Networks

作者:S. Mohammad Mostafavi I., Lin Wang, Yo-Sung Ho, Kuk-Jin Yoon

论文链接:https://arxiv.org/abs/1811.08230

 

 

2、Mixture Density Generative Adversarial Networks

作者:Hamid Eghbal-zadeh, Werner Zellinger, Gerhard Widmer

论文链接:https://arxiv.org/abs/1811.00152

 

 

3、GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction

作者:Baris Gecer, Stylianos Ploumpis, Irene Kotsia, Stefanos Zafeiriou

论文链接:https://arxiv.org/abs/1902.05978

github链接:https://github.com/barisgecer/ganfit

 

 

4、Self-Supervised Generative Adversarial Networks

作者:Ting Chen, Xiaohua Zhai, Marvin Ritter, Mario Lucic, Neil Houlsby

论文链接:https://arxiv.org/abs/1811.11212

Github链接:https://github.com/google/compare_gan

 

 

5、CollaGAN : Collaborative GAN for Missing Image Data Imputation

作者:Dongwook Lee, Junyoung Kim, Won-Jin Moon, Jong Chul Ye

论文链接:https://arxiv.org/abs/1901.09764

 

 

6、Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis

作者:Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, Siwei Ma, Ming-Hsuan Yang

论文链接:https://arxiv.org/abs/1903.05628

代码链接:https://github.com/HelenMao/MSGAN (待更新)

 

 

7、MirrorGAN: Learning Text-to-image Generation by Redescription(图像文本生成)

作者:Tingting Qiao, Jing Zhang, Duanqing Xu, Dacheng Tao

论文链接:https://arxiv.org/abs/1903.05854

 

 

8、From Adversarial Training to Generative Adversarial Networks

作者:Xuanqing Liu, Cho-Jui Hsieh

论文链接:https://arxiv.org/pdf/1807.10454.pdf

 

 

9、OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations

作者:Pramuditha Perera, Ramesh Nallapati, Bing Xiang

论文链接:https://arxiv.org/abs/1903.08550

 

 

10、SalGAN: Visual Saliency Prediction with Generative Adversarial Networks(商汤/华为/港中文)

作者:Junting Pan, Cristian Canton Ferrer, Kevin McGuinness, Noel E. O'Connor, Jordi Torres, Elisa Sayrol, Xavier Giro-i-Nieto

论文链接:https://arxiv.org/abs/1701.01081

代码链接:https://github.com/junting/seg2vid

 

 

11、StoryGAN: A Sequential Conditional GAN for Story Visualization(图像文本生成)

作者:Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David Carlson, Jianfeng Gao

论文链接:https://arxiv.org/abs/1812.02784

代码链接:https://github.com/yitong91/StoryGAN

 

 

12、Object-driven Text-to-Image Synthesis via Adversarial Training(图像文本生成)

作者:Wenbo Li, Pengchuan Zhang, Lei Zhang, Qiuyuan Huang, Xiaodong He, Siwei Lyu, Jianfeng Gao

论文链接:https://arxiv.org/abs/1902.10740

 

 

13、Text2Scene: Generating Compositional Scenes from Textual Descriptions

作者:Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David Carlson, Jianfeng Gao

论文链接:https://arxiv.org/abs/1809.01110

代码链接:https://github.com/uvavision/Text2Image

 

 

14、Image Generation from Layout

作者:Bo Zhao, Lili Meng, Weidong Yin, Leonid Sigal

论文链接:https://arxiv.org/abs/1811.11389

 

 

15、DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis

作者:Minfeng Zhu, Pingbo Pan, Wei Chen, Yi Yang

论文链接:https://arxiv.org/abs/1904.01310

 

 

16、Semantics Disentangling for Text-to-Image Generation(Oral)

作者:Guojun Yin, Bin Liu, Lu Sheng, Nenghai Yu, Xiaogang Wang, Jing Shao

论文链接:https://arxiv.org/abs/1904.01480

 

 

17、Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks(Oral)

作者:Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu

论文链接:https://arxiv.org/abs/1904.02884

 

 

18、R2GAN: Cross-modal Recipe Retrieval with Generative Adversarial Network

作者:Bin Zhu, Chong-Wah Ngo, Jingjing Chen, and Yanbin Hao

论文链接:http://vireo.cs.cityu.edu.hk/papers/R2GAN.pdf

 

 

19、Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation(Oral)

作者:Hao Tang, Dan Xu, Nicu Sebe, Yanzhi Wang, Jason J. Corso, Yan Yan

论文链接:https://arxiv.org/abs/1904.06807

源码链接:https://github.com/Ha0Tang/SelectionGAN

 

 

20、Text Guided Person Image Synthesis

作者:Xingran Zhou, Siyu Huang, Bin Li, Yingming Li, Jiachen Li, Zhongfei Zhang

论文链接:https://arxiv.org/abs/1904.05118

 

 

21、Max-Sliced Wasserstein Distance and its use for GANs

作者:Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Zhizhen Zhao, David Forsyth, Alexander Schwing

论文链接:https://arxiv.org/abs/1904.05877

 

22、Fashion-AttGAN: Attribute-Aware Fashion Editing with Multi-Objective GAN

作者:Qing Ping, Jiangbo Yuan, Bing Wu, Wanying Ding

论文链接:https://arxiv.org/abs/1904.07460

 

 

23、Self-Supervised GANs via Auxiliary Rotation Loss

作者:Ting Chen, Xiaohua Zhai, Marvin Ritter, Mario Lucic, Neil Houlsby

论文链接:https://arxiv.org/abs/1811.11212

 

 

 

图像/视频处理、超分辨

1、Recurrent MVSNet for High-resolution Multi-view Stereo Depth Inference

作者:Yao Yao, Zixin Luo, Shiwei Li, Tianwei Shen, Tian Fang, Long Quan

论文链接:https://arxiv.org/abs/1902.10556

代码链接:https://github.com/YoYo000/MVSNet

 

 

2、Unprocessing Images for Learned Raw Denoising (Oral Presentation)

作者:Tim Brooks, Ben Mildenhall, Tianfan Xue, Jiawen Chen, Dillon Sharlet, Jonathan T. Barron

论文链接:https://arxiv.org/abs/1811.11127

project链接:http://timothybrooks.com/tech/unprocessing/

Reading note:We can learn a better denoising model by processing and unprocessing images the same way a camera does.

 

 

3、Image Super-Resolution by Neural Texture Transfer

作者:Zhifei Zhang, Zhaowen Wang, Zhe Lin, Hairong Qi

论文链接:https://arxiv.org/pdf/1903.00834.pdf

项目链接:http://web.eecs.utk.edu/~zzhang61/project_page/SRNTT/SRNTT.html

代码链接:https://github.com/ZZUTK/SRNTT

 

 

4、Toward Convolutional Blind Denoising of Real Photographs

作者:Shi Guo, Zifei Yan, Kai Zhang, Wangmeng Zuo, Lei Zhang

论文链接:https://arxiv.org/abs/1807.04686

代码链接:https://github.com/GuoShi28/CBDNet

 

 

5、Learning Parallax Attention for Stereo Image Super-Resolution(图像超分辨)

作者:Longguang Wang, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An, Yulan Guo

论文链接:https://arxiv.org/abs/1903.05784

 

 

6、Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration

作者:Xing Liu, Masanori Suganuma, Zhun Sun, Takayuki Okatani

论文链接:https://arxiv.org/abs/1903.08817

 

 

7、PASSRnet: Parallax Attention Stereo Super-Resolution Network

作者:Longguang Wang, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An, Yulan Guo

论文链接:https://arxiv.org/abs/1903.05784

代码链接:https://github.com/LongguangWang/PASSRnet

 

 

8、Feedback Network for Image Super-Resolution

作者:Zhen Li, Jinglei Yang, Zheng Liu, Xiaomin Yang, Gwanggil Jeon, Wei Wu

论文链接:https://arxiv.org/abs/1903.09814

 

 

9、Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (旷视,超分辨)

作者:Xuecai Hu, Haoyuan Mu, Xiangyu Zhang, Zilei Wang, Tieniu Tan, Jian Sun

论文链接:https://arxiv.org/abs/1903.00875

论文解读:CVPR2019 | 旷视提出Meta-SR:单一模型实现超分辨率任意缩放因子

 

 

10、Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels

作者:Kai Zhang, Wangmeng Zuo, Lei Zhang

论文链接:https://arxiv.org/abs/1903.12529

代码链接:https://github.com/cszn/DPSR

 

 

11、Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset

作者:Tianyu Wang, Xin Yang, Ke Xu, Shaozhe Chen, Qiang Zhang, Rynson Lau

论文链接:https://arxiv.org/abs/1904.01538

项目链接:https://stevewongv.github.io/derain-project.html

 

 

12、DVC: An End-to-end Deep Video Compression Framework(Oral)

作者:Guo Lu, Wanli Ouyang, Dong Xu, Xiaoyun Zhang, Chunlei Cai, Zhiyong Gao

论文链接:https://arxiv.org/abs/1812.00101

代码链接:https://github.com/GuoLusjtu/DVC

 

 

13、Blind Visual Motif Removal from a Single Image

作者:Amir Hertz, Sharon Fogel, Rana Hanocka, Raja Giryes, Daniel Cohen-Or

论文链接:https://arxiv.org/abs/1904.02756

 

 

14、Fast Spatio-Temporal Residual Network for Video Super-Resolution

作者:Sheng Li, Fengxiang He, Bo Du, Lefei Zhang, Yonghao Xu, Dacheng Tao

论文链接:https://arxiv.org/abs/1904.02870

 

 

15、3D Appearance Super-Resolution with Deep Learning

论文链接:https://github.com/ofsoundof/3D_Appearance_SR/blob/master/code/scripts/3d_appearance_sr.pdf

源码链接:https://github.com/ofsoundof/3D_Appearance_SR

 

 

16、Camera Lens Super-Resolution

作者:Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha, Feng Wu

论文链接:http://staff.ustc.edu.cn/~zwxiong/cameraSR.pdf

源码链接:https://github.com/ngchc/CameraSR

 

 

17、Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning

作者:Ruotent Li, Loong Fah Cheong, Robby T. Tan

论文链接:https://arxiv.org/abs/1904.05050

 

 

18、Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting

作者:Yanhong Zeng, Jianlong Fu, Hongyang Chao, Baining Guo

论文链接:https://arxiv.org/abs/1904.07475

 

 

 

点云、三维重建

1、The Perfect Match: 3D Point Cloud Matching with Smoothed Densities

作者:Zan Gojcic, Caifa Zhou, Jan D. Wegner, Andreas Wieser

论文链接:https://arxiv.org/abs/1811.06879

 

 

2、Octree guided CNN with Spherical Kernels for 3D Point Clouds

作者:Huan Lei, Naveed Akhtar, Ajmal Mian

论文链接:https://arxiv.org/abs/1903.00343

 

 

3、DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds

作者:Li Ding, Chen Feng

论文链接:https://arxiv.org/abs/1811.11397

 

 

4、Generating 3D Adversarial Point Clouds

作者:Chong Xiang (1), Charles R. Qi (2), Bo Li (3) ((1) Shanghai Jiao Tong Univerisity, (2) Stanford University, (3) University of Illinois at Urbana-Champaign)

论文链接:https://arxiv.org/abs/1809.07016

简要:Proposed several novel algorithms to craft adversarial point clouds against 3D deep learning models with adversarial points perturbation and adversarial points generation.

 

 

5、FlowNet3D: Learning Scene Flow in 3D Point Clouds

作者:Xingyu Liu, Charles R. Qi, Leonidas J. Guibas

论文链接:https://arxiv.org/abs/1806.01411

简要:Proposed a novel deep neural network that learns scene flow from point clouds in an end-to-end fashion.

 

 

6、33.Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding(开源)

作者:Zehao Yu, Jia Zheng, Dongze Lian, Zihan Zhou, Shenghua Gao

论文链接:https://arxiv.org/abs/1902.09777

代码链接:https://github.com/svip-lab/PlanarReconstruction

 

 

7、FML: Face Model Learning from Videos(Oral)

作者:A. Tewari F. Bernard P. Garrido G. Bharaj M. Elgharib H-P. Seidel P. Perez M. Zollhöfer C.Theobalt

项目链接:http://gvv.mpi-inf.mpg.de/projects/FML19/

论文链接:http://gvv.mpi-inf.mpg.de/projects/FML19/paper.pdf

 

 

8、SceneCode: Monocular Dense Semantic Reconstruction using Learned Encoded Scene Representation

作者:Shuaifeng Zhi, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison

论文链接:https://arxiv.org/abs/1903.06482

 

 

9、Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction

作者:Pelin Dogan, Leonid Sigal, Markus Gross

论文链接:

https://chenhsuanlin.bitbucket.io/photometric-mesh-optim/paper.pdf

代码链接:

https://github.com/chenhsuanlin/photometric-mesh-optim

项目链接:

https://chenhsuanlin.bitbucket.io/photometric-mesh-optim/

 

 

10、Learning View Priors for Single-view 3D Reconstruction

作者:Hiroharu Kato, Tatsuya Harada

论文链接:https://arxiv.org/abs/1811.10719

项目链接:http://hiroharu-kato.com/projects_en/view_prior_learning.html

 

 

11、Patch-based Progressive 3D Point Set Upsampling

作者:Wang Yifan, Shihao Wu, Hui Huang, Daniel Cohen-Or, Olga Sorkine-Hornung

论文链接:https://arxiv.org/abs/1811.11286

代码链接:https://github.com/yifita/3PU

 

 

12、GeoNet: Deep Geodesic Networks for Point Cloud Analysis(Oral,旷视,根据测地间隔的点云剖析深度网络)

作者:Tong He, Haibin Huang, Li Yi, Yuqian Zhou, Chihao Wu, Jue Wang, Stefano Soatto

论文链接:https://arxiv.org/abs/1901.00680

论文解读:CVPR 2019 | 旷视等Oral论文提出GeoNet:基于测地距离的点云分析深度网络

 

 

13、JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields(Oral)

作者:Quang-Hieu Pham, Duc Thanh Nguyen, Binh-Son Hua, Gemma Roig, Sai-Kit Yeung

论文链接:https://arxiv.org/abs/1904.00699

项目链接:https://pqhieu.github.io/cvpr19.html

 

 

14、Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning

作者:Loic Landrieu, Mohamed Boussaha

论文链接:https://arxiv.org/abs/1904.02113

 

 

15、Calibration of Asynchronous Camera Networks for Object Reconstruction Tasks

作者:Amy Tabb, Henry Medeiros

论文链接:https://arxiv.org/abs/1903.06811

 

 

16、StereoDRNet: Dilated Residual Stereo Net

作者:Rohan Chabra, Julian Straub, Chris Sweeny, Richard Newcombe, Henry Fuchs

论文链接:https://arxiv.org/abs/1904.02251

 

 

17、Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction

作者:Yi Wei, Shaohui Liu, Wang Zhao, Jiwen Lu, Jie Zhou

论文链接:https://arxiv.org/abs/1904.06699

 

 

18、PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud

作者:Shaoshuai Shi, Xiaogang Wang, Hongsheng Li

论文链接:https://arxiv.org/abs/1812.04244

源码链接:https://github.com/sshaoshuai/PointRCNN

 

 

19、Relation-Shape Convolutional Neural Network for Point Cloud Analysis

作者:Yongcheng Liu, Bin Fan, Shiming Xiang, Chunhong Pan

论文链接:https://arxiv.org/abs/1904.07601

项目链接:https://yochengliu.github.io/Relation-Shape-CNN/

源码链接:https://github.com/Yochengliu/Relation-Shape-CNN

 

 

20、A-CNN: Annularly Convolutional Neural Networks on Point Clouds

作者:Artem Komarichev, Zichun Zhong, Jing Hua

论文链接:https://arxiv.org/abs/1904.08017

 

 

21、PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval

作者: Wenxiao Zhang, Chunxia Xiao

论文链接:https://arxiv.org/abs/1904.09793

 

 

22、Deep Convolutional Networks on 3D Point Clouds

作者:Satwik Acharyya, Zhengwu Zhang, Anirban Bhattacharya, Debdeep Pati

论文链接:https://arxiv.org/pdf/1811.07246.pdf

源码链接:https://github.com/DylanWusee/pointconv

 

 

23、LBS Autoencoder: Self-supervised Fitting of Articulated Meshes to Point Clouds

作者:Chun-Liang Li, Tomas Simon, Jason Saragih, Barnabás Póczos, Yaser Sheikh

论文链接:https://arxiv.org/abs/1904.10037

 

 

24、Modeling Local Geometric Structure of 3D Point Clouds using Geo-CNN

作者:Shiyi Lan, Ruichi Yu, Gang Yu, Larry S. Davis

论文链接:https://arxiv.org/abs/1811.07782

 

 

25、RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion

作者:Muhammad Sarmad, Hyunjoo Jenny Lee, Young Min Kim

论文链接:https://arxiv.org/abs/1904.12304

源码链接:https://github.com/iSarmad/RL-GAN-Net

 

 

26、Occupancy Networks - Learning 3D Reconstruction in Function Space

作者:Lars Mescheder and Michael Oechsle and Michael Niemeyer and Sebastian Nowozin and Andreas Geiger

论文链接:https://avg.is.tuebingen.mpg.de/uploads_file/attachment/attachment/490/top.pdf

源码链接:https://github.com/autonomousvision/occupancy_networks

 

 

 

VQA、视觉语言导航

1、MUREL: Multimodal Relational Reasoning for Visual Question Answering

作者:Remi Cadene, Hedi Ben-younes, Matthieu Cord, Nicolas Thome

论文链接:https://arxiv.org/abs/1902.09487

 

 

2、Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation

作者:Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang

论文链接:https://arxiv.org/abs/1811.10092

论文解读:https://mp.weixin.qq.com/s/LsHWkdwqqrOPFgCNNcBdpg

 

 

3、Image-Question-Answer Synergistic Network for Visual Dialog

作者:Dalu Guo, Chang Xu, Dacheng Tao

论文链接:https://arxiv.org/abs/1902.09774

 

 

4、Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation(oral)

作者:Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha Srinivasa

论文链接:https://arxiv.org/abs/1903.02547

YouTube:https://youtu.be/ik9uz06Fcpk

 

 

5、Learning to Compose Dynamic Tree Structures for Visual Contexts(VQA,Oral)

作者:Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, Wei Liu

论文链接:https://arxiv.org/abs/1812.01880

代码链接:

https://github.com/KaihuaTang/VCTree-Visual-Question-Answering

 

 

6、Transfer Learning via Unsupervised Task Discovery for Visual Question Answering(VQA)

作者:Hyeonwoo Noh, Taehoon Kim, Jonghwan Mun, Bohyung Han

论文链接:https://arxiv.org/abs/1810.02358

 

 

7、Information Maximizing Visual Question Generation(VQA)

作者:Zhongdao Wang, Liang Zheng, Yali Li, Shengjin Wang

论文链接:https://arxiv.org/abs/1903.11306

 

 

8、Answer Them All! Toward Universal Visual Question Answering Models(VQA)

作者:Robik Shrestha, Kushal Kafle, Christopher Kanan

论文链接:https://arxiv.org/abs/1903.00366

 

 

9、Cycle-Consistency for Robust Visual Question Answering(VQA)

作者:Gao Peng, Zhengkai Jiang, Haoxuan You, Zhengkai Jiang, Pan Lu, Steven Hoi, Xiaogang Wang, Hongsheng Li

论文链接:https://arxiv.org/pdf/1812.05252.pdf

 

 

10、Towards VQA Models that can Read

作者:Amanpreet Singh, Vivek Natarajan, Meet Shah, Yu Jiang, Xinlei Chen, Dhruv Batra, Devi Parikh, Marcus Rohrbach

论文链接:https://arxiv.org/abs/1904.08920

 

 

 

OCR、文本检测

1、Shape Robust Text Detection with Progressive Scale Expansion Network(文本检测)

作者:Xiang Li, Wenhai Wang, Wenbo Hou, Ruo-Ze Liu, Tong Lu, Jian Yang

论文链接:https://arxiv.org/abs/1806.02559

代码链接:https://github.com/whai362/PSENet

网友复现:https://github.com/liuheng92/tensorflow_PSENet

 

 

2、Towards Robust Curve Text Detection with Conditional Spatial Expansion

作者:Zichuan Liu, Guosheng Lin, Sheng Yang, Fayao Liu, Weisi Lin, Wang Ling Goh

论文链接:https://arxiv.org/abs/1903.08836

 

 

3、Shape Robust Text Detection with Progressive Scale Expansion Network

作者:Wenhai Wang, Enze Xie, Xiang Li, Wenbo Hou, Tong Lu, Gang Yu, Shuai Shao

论文链接:https://arxiv.org/abs/1903.12473

 

 

4、Handwriting Recognition in Low-resource Scripts using Adversarial Learning

作者:Ayan Kumar Bhunia, Abhirup Das, Ankan Kumar Bhunia, Perla Sai Raj Kishore, Partha Pratim Roy

论文链接:https://arxiv.org/pdf/1811.01396.pdf

 

 

5、Handwriting Recognition in Low-resource Scripts using Adversarial Learning

作者:Ayan Kumar Bhunia, Abhirup Das, Ankan Kumar Bhunia, Perla Sai Raj Kishore, Partha Pratim Roy

论文链接:https://arxiv.org/abs/1811.01396

 

 

6、Tightness-aware Evaluation Protocol for Scene Text Detection

作者:Yuliang Liu, Lianwen Jin, Zecheng Xie, Canjie Luo, Shuaitao Zhang, Lele Xie

论文链接:https://arxiv.org/abs/1904.00813

 

 

7、Character Region Awareness for Text Detection(文本检测)

作者:Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, Hwalsuk Lee

论文链接:https://arxiv.org/abs/1904.01941

 

 

8、Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes

作者:Chengquan Zhang, Borong Liang, Zuming Huang, Mengyi En, Junyu Han, Errui Ding, Xinghao Ding

论文链接:https://arxiv.org/abs/1904.06535

 

 

 

自动驾驶

1、Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving(自动驾驶)

作者:Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger

论文链接:https://arxiv.org/abs/1812.07179

项目链接:https://mileyan.github.io/pseudo_lidar/

代码链接:https://github.com/mileyan/pseudo_lidar

 

 

2、ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving

作者:Xibin Song, Peng Wang, Dingfu Zhou, Rui Zhu, Chenye Guan, Yuchao Dai, Hao Su, Hongdong Li, Ruigang Yang

论文链接:https://arxiv.org/abs/1811.12222

简要:The first large-scale database suitable for 3D car instance understanding, ApolloCar3D, collected by Baidu. The dataset contains 5,277 driving images and over 60K car instances, where each car is fitted with an industry-grade 3D CAD model with absolute model size and semantically labelled keypoints.

 

 

3、Group-wise Correlation Stereo Network

作者:Xiaoyang Guo, Kai Yang, Wukui Yang, Xiaogang Wang, Hongsheng Li

论文链接:https://arxiv.org/abs/1903.04025

 

 

4、Stereo R-CNN based 3D Object Detection for Autonomous Driving

作者:Peiliang Li, Xiaozhi Chen, Shaojie Shen

论文链接:https://arxiv.org/abs/1902.09738

 

 

5、Deep Rigid Instance Scene Flow

作者:Wei-Chiu Ma 、Shenlong Wang 、Rui Hu、Yuwen Xiong、 Raquel Urtasun

论文链接:

https://people.csail.mit.edu/weichium/papers/cvpr19-dsisf/paper.pdf

论文摘要:在本文中,我们解决了自动驾驶环境下的场景流量估计问题。 我们利用深度学习技术以及强大的先验,因为在我们的应用领域中,场景的运动可以由机器人的运动和场景中的演员的3D运动来组成。

 

 

6、An Efficient Schmidt-EKF for 3D Visual-Inertial SLAM

作者:Patrick Geneva, James Maley, Guoquan Huang

论文链接:https://arxiv.org/abs/1903.08636

 

 

7、LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving

作者:Gregory P. Meyer, Ankit Laddha, Eric Kee, Carlos Vallespi-Gonzalez, Carl K. Wellington

论文链接:https://arxiv.org/abs/1903.08701

 

 

8、.GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving

作者:Buyu Li, Wanli Ouyang, Lu Sheng, Xingyu Zeng, Xiaogang Wang

论文链接:https://arxiv.org/abs/1903.10955

 

 

9、Learning to Adapt for Stereo

作者:Alessio Tonioni, Oscar Rahnama, Thomas Joy, Luigi Di Stefano, Thalaiyasingam Ajanthan, Philip H. S. Torr

论文链接:https://arxiv.org/abs/1904.02957

代码链接:https://github.com/CVLAB-Unibo/Learning2AdaptForStereo

 

 

10、What Object Should I Use? - Task Driven Object Detection

作者:Johann Sawatzky, Yaser Souri, Christian Grund, Juergen Gall

论文链接:https://arxiv.org/abs/1904.03000

 

 

11、YUVMultiNet: Real-time YUV multi-task CNN for autonomous driving

作者:Thomas Boulay, Said El-Hachimi, Mani Kumar Surisetti, Pullarao Maddu, Saranya Kandan

论文链接:https://arxiv.org/abs/1904.05673

 

 

12、L3-Net: Towards Learning based LiDAR Localization for Autonomous Driving

作者:Weixin Lu, Yao Zhou, Guowei Wan,Shenhua Hou,Shiyu Song

论文链接:https://songshiyu01.github.io/pdf/L3Net_W.Lu_Y.Zhou_S.Song_CVPR2019.pdf

 

 

 

人群计数

1、Learning from Synthetic Data for Crowd Counting in the Wild

作者:Qi Wang, Junyu Gao, Wei Lin, Yuan Yuan

论文链接:https://arxiv.org/abs/1903.03303

 

 

2、Point in, Box out: Beyond Counting Persons in Crowds

作者:待更新

论文链接:https://github.com/xiaofanglegoc/xiaofanglegoc.github.io/blob/master/publications/cvpr2019.pdf

 

 

3、Learning the Depths of Moving People by Watching Frozen People(Oral)

作者:Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman

论文链接:https://arxiv.org/abs/1904.11111

 

 

 

数据集

1、COIN: A Large-scale Dataset for Comprehensive Instructional Video Analysis

作者:Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie Zhou

论文链接:https://arxiv.org/abs/1903.02874

项目链接:https://coin-dataset.github.io/

代码链接:https://github.com/coin-dataset/code

 

2、RAVEN: A Dataset for Relational and Analogical Visual rEasoNing

作者:Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie Zhou

论文链接:https://arxiv.org/abs/1903.02741

项目链接:https://wellyzhang.github.io/project/raven.html

 

 

3、SIXray : A Large-scale Security Inspection X-ray Benchmark for Prohibited Item Discovery in Overlapping Images(金山云大规模X光违禁品安检数据集)

作者:Caijing Miao, Lingxi Xie, Fang Wan, Chi Su, Hongye Liu, Jianbin Jiao, Qixiang Ye

论文链接:https://arxiv.org/abs/1901.00303

论文简要:本文针对X光安检数据集,提出了类别平衡的分层细化模型处置数据集存在的成绩。

 

 

4、A Cross-Season Correspondence Dataset for Robust Semantic Segmentation

作者:Måns Larsson, Erik Stenborg, Lars Hammarstrand, Torsten Sattler, Mark Pollefeys, Fredrik Kahl

论文链接:https://arxiv.org/abs/1903.06916

 

 

5、A Cross-Season Correspondence Dataset for Robust Semantic Segmentation

作者:Måns Larsson, Erik Stenborg, Lars Hammarstrand, Torsten Sattler, Mark Pollefeys, Fredrik Kahl

论文链接:https://arxiv.org/abs/1903.06916

 

 

6、A Realistic Dataset and Baseline Temporal Model for Early Drowsiness Detection

作者:Reza Ghoddoosian, Marnim Galib, Vassilis Athitsos

论文链接:https://arxiv.org/abs/1904.07312

 

 

 

行人重识别、行人检测

1、Dissecting Person Re-identification from the Viewpoint of Viewpoint

作者:Xiaoxiao Sun, Liang Zheng

论文链接:https://arxiv.org/abs/1812.02162

源码链接:https://github.com/sxzrt/Dissecting-Person-Re-ID-from-the-Viewpoint-of-Viewpoint

 

 

2、Unsupervised Person Re-identification by Soft Multilabel Learning(行人再识别,Oral)

作者:Hong-Xing Yu, Wei-Shi Zheng, Ancong Wu, Xiaowei Guo, Shaogang Gong, Jian-Huang Lai

论文链接:https://arxiv.org/abs/1903.06325

源码链接:https://github.com/KovenYu/MAR

 

 

3、Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-identification

作者:Yifan Sun, Qin Xu, Yali Li, Chi Zhang, Yikang Li, Shengjin Wang, Jian Sun

论文链接:https://arxiv.org/abs/1904.00537

 

 

4、Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification

作者:Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li, Yi Yang

论文链接:https://arxiv.org/abs/1904.01990

代码链接:https://github.com/zhunzhong07/ECN

 

 

5、SSA-CNN: Semantic Self-Attention CNN for Pedestrian Detection

作者:Chengju Zhou,Meiqing Wu,Siew-Kei Lam

论文链接:https://arxiv.org/abs/1902.09080v1

论文摘要:本文将语义分割结果作为自我关注线索进行探索,以显着提高行人检测性能。

 

 

6、High-level Semantic Feature Detection:A New Perspective for Pedestrian Detection

作者:Wei Liu, Shengcai Liao, Weiqiang Ren, Weidong Hu, Yinan Yu

论文链接:https://arxiv.org/abs/1904.02948

 

 

7、High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection

作者:Zhao-Min Chen, Xiu-Shen Wei Peng Wang3Yanwen Guo1

论文链接:https://github.com/liuwei16/CSP/blob/master/docs/2019CVPR-CSP.pdf

源码链接:https://github.com/liuwei16/CSP

 

 

8、Pedestrian Detection in Thermal Images using Saliency Maps

作者:Debasmita Ghose, Shasvat Mukeshkumar Desai, Sneha Bhattacharya, Deep Chakraborty, Madalina Fiterau, Tauhidur Rahman

论文链接:https://arxiv.org/abs/1904.06859

 

 

 

其他

2、Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration

作者:De-An Huang, Suraj Nair, Danfei Xu, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese, Juan Carlos Niebles

论文链接:https://arxiv.org/abs/1807.03480

 

3、Variational Bayesian Dropout

作者:Yuhang Liu, Wenyong Dong, Lei Zhang, Dong Gong, Qinfeng Shi

论文链接:https://arxiv.org/abs/1811.07533

 

 

4、LiFF: Light Field Features in Scale and Depth

作者:Donald G. Dansereau, Bernd Girod, Gordon Wetzstein

论文链接:https://arxiv.org/abs/1901.03916

 

 

5、Classification-Reconstruction Learning for Open-Set Recognition

作者:Ryota Yoshihashi, Wen Shao, Rei Kawakami, Shaodi You, Makoto Iida, Takeshi Naemura

论文链接:https://arxiv.org/abs/1812.04246

 

 

6、Weakly Supervised Deep Image Hashing through Tag Embeddings

作者:Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li

论文链接:https://arxiv.org/abs/1806.05804

 

 

7、InverseRenderNet: Learning single image inverse rendering

作者:Ye Yu, William A. P. Smith

论文链接:https://arxiv.org/abs/1811.12328

 

 

8、End-to-End Efficient Representation Learning via Cascading Combinatorial Optimization

作者:Yeonwoo Jeong, Yoonsuing Kim, Hyun Oh Song

论文链接:https://arxiv.org/abs/1902.10990

代码链接:https://github.com/maestrojeong/Deep-Hash-Table-CVPR19

 

 

9、Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

作者:Yawei Luo, Liang Zheng, Tao Guan, Junqing Yu, Yi Yang

论文链接:https://arxiv.org/abs/1809.09478

 

 

10、Efficient Parameter-free Clustering Using First Neighbor Relations

作者:M. Saquib Sarfraz, Vivek Sharma, Rainer Stiefelhagen

论文链接:https://arxiv.org/abs/1902.11266

Reading Notes:FINCH, a new clustering algorithm, absolutily no hyperparameters , no need to specify no. of clusters. Scalable(Memory O(N)), very fast (ON(logN)) clusters ~8 million samples in 18 minutes on standard CPU.

 

 

11、3D Hand Shape and Pose from Images in the Wild

作者:Adnane Boukhayma, Rodrigo de Bem, Philip H.S. Torr

论文链接:https://arxiv.org/pdf/1902.03451.pdf

Github链接:https://github.com/boukhayma/3dhand

 

 

12、Monocular Total Capture: Posing Face, Body, and Hands in the Wild

作者:Donglai Xiang, Hanbyul Joo, Yaser Sheikh

论文链接:https://arxiv.org/pdf/1812.01598.pdf

项目链接:http://domedb.perception.cs.cmu.edu/monototalcapture.html

 

 

13、Learning to Synthesize Motion Blur(Oral Presentation)

作者:Tim Brooks, Jonathan T. Barron

论文链接:https://arxiv.org/abs/1811.11745

project链接:http://timothybrooks.com/tech/motion-blur/

Reading note:Frame interpolation techniques can be used to train a network to directly synthesize linear motion blur.

 

 

14、A General and Adaptive Robust Loss Function(Oral Presentation)

作者:Jonathan T. Barron

论文链接:https://arxiv.org/abs/1701.03077

Reading Note:A single robust loss function is a superset of many other common robust loss functions, and allows training to automatically adapt the robustness of its own loss.

 

 

15、Context-Aware Visual Compatibility Prediction

作者:Guillem Cucurull, Perouz Taslakian, David Vazquez

论文链接:https://arxiv.org/abs/1902.03646

Reading Note:It proposes a graph convolutional neural network that predicts compatibility between two items based on their visual features, as well as their context

 

16、A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations

作者:Saeid Asgari Taghanaki Kumar Abhishek1 Shekoofeh Azizi and Ghassan Hamarneh

论文链接:http://cs.sfu.ca/~hamarneh/ecopy/cvpr2019.pdf

Arxiv链接:https://arxiv.org/abs/1903.01015

 

 

17、Self-supervised Learning of Dense Shape Correspondence(Oral Presentation)

作者:Oshri Halimi, Or Litany, Emanuele Rodolà, Alex Bronstein, Ron Kimmel

论文链接:https://arxiv.org/abs/1812.02415

 

 

18、Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-to-Image Translation

作者:Matteo Tomei, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara

论文链接:https://arxiv.org/abs/1811.10666

 

 

19、Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions

作者:Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara

论文链接:https://arxiv.org/abs/1811.10652

代码链接:https://github.com/aimagelab/show-control-and-tell

 

20、Improving Referring Expression Grounding with Cross-modal Attention-guided Erasing

作者:Xihui Liu, Zihao Wang, Jing Shao, Xiaogang Wang, Hongsheng Li

论文链接:https://arxiv.org/abs/1903.00839

 

21、Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion

作者:Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan, Daniel C. Alexander, Nathan Silberman

论文链接:https://arxiv.org/abs/1902.03680

 

22、Variational Autoencoders Pursue PCA Directions (by Accident)

作者:Michal Rolinek, Dominik Zietlow, Georg Martius

论文链接:https://arxiv.org/abs/1812.06775

 

23、The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation(oral)

作者:Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, Zsolt Kira

论文链接:https://arxiv.org/abs/1903.01602

Github:https://github.com/chihyaoma/regretful-agent

 

 

24、Understanding and Visualizing Deep Visual Saliency Models

作者:Sen He, Hamed R. Tavakoli, Ali Borji, Yang Mi, Nicolas Pugeault

论文链接:https://arxiv.org/abs/1903.02501

 

 

 

25、Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation(非最终版)

作者:Zhi Tian, Chunhua Shen, Tong He, Youliang Yanl

论文链接:https://arxiv.org/abs/1903.02120

 

 

26、Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search(oral)

作者:Abhimanyu Dubey, Laurens van der Maaten, Zeki Yalniz, Yixuan Li, Dhruv Mahajan

论文链接:https://arxiv.org/abs/1903.01612

 

 

27、Unsupervised Domain-Specific Deblurring via Disentangled Representations

作者:Boyu Lu, Jun-Cheng Chen, Rama Chellappa

论文链接:https://arxiv.org/abs/1903.01594

 

 

28、Selective Sensor Fusion for Neural Visual-Inertial Odometry

作者:Changhao Chen, Stefano Rosa, Yishu MiaoChris Xiaoxuan Lu, Wei Wu, Andrew Markham, Niki Trigoni

论文链接:https://arxiv.org/abs/1903.01534

 

 

29、.Learning Deep Compositional Grammatical Architectures for Visual Recognition

作者:Xilai Li, Tianfu Wu, Xi Song

论文链接:https://arxiv.org/abs/1711.05847

代码链接:https://github.com/xilaili/AOGNet

 

 

30、Taking a Deeper Look at the Inverse Compositional Algorithm(oral)

作者:Zhaoyang Lv, Frank Dellaert, James M. Rehg, Andreas Geiger

论文链接:https://arxiv.org/pdf/1812.06861.pdf

代码链接:https://github.com/lvzhaoyang/DeeperInverseCompositionalAlgorithm

 

31、Learning Transformation Synchronization

作者:Xiangru Huang, Zhenxiao Liang, Xiaowei Zhou, Yao Xie, Leonidas Guibas, and Qixing Huang

论文链接:https://arxiv.org/pdf/1901.09458.pdf

代码链接: https://github.com/xiangruhuang/Learning2Sync

 

32、SR-LSTM: State Refinement for LSTM towards Pedestrian Trajectory Prediction

作者:Pu Zhang, Wanli Ouyang, Pengfei Zhang, Jianru Xue, Nanning Zheng

论文链接:https://arxiv.org/abs/1903.02793

 

33、ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation(Facebook mobile vision team)

作者:Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Hongxu Yin, Fei Sun, Yanghan Wang, Marat Dukhan, Yunqing Hu, Yiming Wu, Yangqing Jia, Peter Vajda, Matt Uyttendaele, Niraj K. Jha

论文链接:https://arxiv.org/abs/1812.08934

 

 

34、FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search(Facebook mobile vision team)

作者:Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer

论文链接:https://arxiv.org/abs/1812.03443

 

35、PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding

作者:Kaichun Mo, Shilin Zhu, Angel X. Chang, Li Yi, Subarna Tripathi, Leonidas J. Guibas, Hao Su

项目链接:https://cs.stanford.edu/~kaichun/partnet/

论文链接:https://arxiv.org/abs/1812.02713

简要:A 3D object database with fine-grained and hierarchical part annotation. To assist segmentation and affordance research.

 

 

36、Adversarial Defense by Stratified Convolutional Sparse Coding

作者:Bo Sun, Nian-hsuan Tsai, Fangchen Liu, Ronald Yu, Hao Su

论文链接:https://arxiv.org/abs/1812.00037

简要:An attack-agnostic defense mechanism for neural networks.

 

37、Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval

作者:Anjan Dutta, Zeynep Akata

论文链接:https://arxiv.org/abs/1903.03372

 

39、Ranked List Loss for Deep Metric Learning

作者:Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Romain Garnier, Neil M. Robertson

论文链接:https://arxiv.org/abs/1903.03238

 

 

40、Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation

作者:Adrian V. Dalca, John Guttag, Mert R. Sabuncu

论文链接:https://arxiv.org/abs/1903.03148

 

41、Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation

作者:Andrea Pilzer, Stéphane Lathuilière, Nicu Sebe, Elisa Ricci

论文链接:https://arxiv.org/pdf/1903.04202.pdf

 

 

42、Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation(领域自适应)

作者:Chen-Yu Lee, Tanmay Batra, Mohammad Haris Baig, Daniel Ulbricht

论文链接:https://arxiv.org/abs/1903.04064

 

 

43、Deep Robust Subjective Visual Property Prediction in Crowdsourcing

作者:Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang, Yuan Yao

论文链接:https://arxiv.org/abs/1903.03956

 

 

44、Shape2Motion: Joint Analysis of Motion Parts and Attributes from 3D Shapes

作者:Xiaogang Wang, Bin Zhou, Yahao Shi, Xiaowu Chen, Qinping Zhao, Kai Xu

论文链接:https://arxiv.org/abs/1903.03911

 

 

45、Fast Single Image Reflection Suppression via Convex Optimization

作者:Yang Yang, Wenye Ma, Yin Zheng, Jian-Feng Cai, Weiyu Xu

论文链接:https://arxiv.org/abs/1903.03889

 

 

46、Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks

作者:Kuan Fang, Alexander Toshev, Li Fei-Fei, Silvio Savarese

论文链接:https://arxiv.org/abs/1903.03878

 

 

47、SSN: Learning Sparse Switchable Normalization via SparsestMax

作者:Wenqi Shao, Tianjian Meng, Jingyu Li, Ruimao Zhang, Yudian Li, Xiaogang Wang, Ping Luo

论文链接:https://arxiv.org/abs/1903.03793

 

 

48、Partial Order Pruning: for Best Speed/Accuracy Trade-off in Neural Architecture Search

作者:Xin Li, Yiming Zhou, Zheng Pan, Jiashi Feng

论文链接:https://arxiv.org/abs/1903.03777

 

 

49、Dense Classification and Implanting for Few-Shot Learning

作者:Yann Lifchitz, Yannis Avrithis, Sylvaine Picard, Andrei Bursuc

论文链接:https://arxiv.org/abs/1903.05050

 

 

50、A Skeleton-bridged Deep Learning Approach for Generating Meshes of Complex Topologies from Single RGB Images(oral)

作者:Jiapeng Tang, Xiaoguang Han, Junyi Pan, Kui Jia, Xin Tong

论文链接:https://arxiv.org/abs/1903.04704

 

 

51、Real-time self-adaptive deep stereo(oral)

作者:Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano

论文链接:https://arxiv.org/abs/1903.04704

源码链接:https://github.com/CVLAB-Unibo/Real-time-self-adaptive-deep-stereo

 

 

52、Scan2CAD: Learning CAD Model Alignment in RGB-D Scans(oral)

作者:Armen Avetisyan, Manuel Dahnert, Angela Dai, Manolis Savva, Angel X. Chang, Matthias Nießner

论文链接:https://arxiv.org/abs/1811.11187

源码链接:https://github.com/skanti/Scan2CAD

简要:Present Scan2CAD, a novel data-driven method that learns to align 3D CAD models from a shape database to 3D scans.

 

 

53、HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentation

作者:Cheng Sun, Chi-Wei Hsiao, Min Sun, Hwann-Tzong Chen

论文链接:https://arxiv.org/abs/1901.03861

源码链接:https://github.com/sunset1995/HorizonNet

 

 

54、A Skeleton-bridged Deep Learning Approach for Generating Meshes of Complex Topologies from Single RGB Images(oral)

作者:Jiapeng Tang, Xiaoguang Han, Junyi Pan, Kui Jia, Xin Tong

论文链接:https://arxiv.org/abs/1903.04704

 

56、Tangent-Normal Adversarial Regularization for Semi-supervised Learning

作者:Bing Yu, Jingfeng Wu, Jinwen Ma, Zhanxing Zhu

论文链接:https://arxiv.org/abs/1808.06088

 

 

57、Bringing Alive Blurred Moments

作者:Kuldeep Purohit, Anshul Shah, A. N. Rajagopalan

论文链接:https://arxiv.org/abs/1804.02913

 

 

58、A Decomposition Algorithm for the Sparse Generalized Eigenvalue Problem

作者:Ganzhao Yuan, Li Shen, Wei-Shi Zheng

论文链接:https://arxiv.org/abs/1802.09303

 

 

59、Hardness-Aware Deep Metric Learning(oral)

作者:Wenzhao Zheng, Zhaodong Chen, Jiwen Lu, Jie Zhou

论文链接:https://arxiv.org/abs/1903.05503

代码链接:https://github.com/wzzheng/HDML(待更新)

 

 

60、Depth Coefficients for Depth Completion

作者:Saif Imran, Yunfei Long, Xiaoming Liu, Daniel Morris

论文链接:https://arxiv.org/abs/1903.05421

 

 

61、3D Guided Fine-Grained Face Manipulation

作者:Zhenglin Geng, Chen Cao, Sergey Tulyakov

论文链接:https://arxiv.org/abs/1902.08900

简要:Disentangle shape and texture and can continuously manipulate the facial expression.

 

 

62、Scene Categorization from Contours: Medial Axis Based Salience Measures

作者:Morteza Rezanejad, Gabriel Downs, John Wilder, Dirk B. Walther, Allan Jepson, Sven Dickinson, Kaleem Siddiqi

论文链接:https://arxiv.org/abs/1811.10524v1

 

 

64、Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning

作者:Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, In So Kweon

论文链接:https://arxiv.org/abs/1903.05942

 

 

65、Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments

作者:Xueting Li, SIfei Liu, Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz

论文链接:https://arxiv.org/abs/1903.05690

 

 

66、Bringing Blurry Alive at High Frame-Rate with an Event Camera

作者:Liyuan Pan, Richard Hartley, Cedric Scheerlinck, Miaomiao Liu, Xin Yu, Yuchao Dai

论文链接:https://arxiv.org/abs/1903.06531

 

 

67、MFAS: Multimodal Fusion Architecture Search

作者:Juan-Manuel Pérez-Rúa, Valentin Vielzeuf, Stéphane Pateux, Moez Baccouche, Frédéric Jurie

论文链接:https://arxiv.org/abs/1903.06496

 

 

68、SimulCap : Single-View Human Performance Capture with Cloth Simulation

作者:Tao Yu, Zerong Zheng, Yuan Zhong, Jianhui Zhao, Qionghai Dai, Gerard Pons-Moll, Yebin Liu

论文链接:https://arxiv.org/abs/1903.06323

 

 

69、Learning to Reconstruct People in Clothing from a Single RGB Camera

作者:Thiemo Alldieck, Marcus Magnor, Bharat Lal Bhatnagar, Christian Theobalt, Gerard Pons-Moll

论文链接:https://arxiv.org/abs/1903.05885

 

 

70、Pluralistic Image Completion

作者:Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai

论文链接:https://arxiv.org/abs/1903.04227

源码链接:https://github.com/lyndonzheng/Pluralistic-Inpainting

项目链接:http://www.chuanxiaz.com/publication/pluralistic/

 

 

71、Snapshot Distillation: Teacher-Student Optimization in One Generation(金山云)

作者:Chenglin Yang, Lingxi Xie, Chi Su, Alan L. Yuille

论文链接:https://arxiv.org/abs/1812.00123v1

论文简要:本文引见了第一种可以在训练单个模型的条件下完成教员-先生优化的办法——快照蒸馏(Snapshot Distillation),在不引入过多的计算耗费状况下,完成了继续的功能提升。

 

 

72、Iterative Reorganization with Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning(金山云)

作者:Chen Wei, Lingxi Xie, Xutong Ren, Yingda Xia, Chi Su, Jiaying Liu, Qi Tian, Alan L. Yuille

论文链接:https://arxiv.org/abs/1812.00329

论文简要:本文提出一种适用于恣意网格尺寸与维度的“拼图”成绩的新办法,同时提出了一个根本且具有普遍意义的准绳,即在无监视场景中较弱的信息更容易被学习,且具有更好的可迁移性。

 

 

73、Learning Correspondence from the Cycle-Consistency of Time

作者:Xiaolong Wang, Allan Jabri, Alexei A. Efros

论文链接:https://arxiv.org/abs/1903.07593

项目链接:https://ajabri.github.io/timecycle/

 

 

74、Understanding the Limitations of CNN-based Absolute Camera Pose Regression

作者:Torsten Sattler, Qunjie Zhou, Marc Pollefeys, Laura Leal-Taixe

论文链接:https://arxiv.org/abs/1903.07504

 

 

75、Semantic Image Synthesis with Spatially-Adaptive Normalization(Oral, 英伟达)

作者:Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu

论文链接:https://arxiv.org/abs/1903.07291

 

 

76、Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection

作者:Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H. Li, Ge Li

论文链接:https://arxiv.org/abs/1903.07256

 

 

77、QATM: Quality-Aware Template Matching For Deep Learning

作者:Jiaxin Cheng, Yue Wu, Wael Abd-Almageed, Premkumar Natarajan

论文链接:https://arxiv.org/abs/1903.07254

 

 

78、AdaGraph: Unifying Predictive and ContinuousDomain Adaptation through Graphs(Oral)

作者:Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci

论文链接:https://arxiv.org/abs/1903.07062

 

 

79、Unsupervised Part-Based Disentangling of Object Shape and Appearance(Oral)

作者:Dominik Lorenz, Leonard Bereska, Timo Milbich, Björn Ommer

论文链接:https://arxiv.org/abs/1903.06946

 

 

80、Fast Interactive Object Annotation with Curve-GCN

作者:Huan Ling, Jun Gao, Amlan Kar, Wenzheng Chen, Sanja Fidler

论文链接:https://arxiv.org/abs/1903.06874

 

 

81、Domain Generalization by Solving Jigsaw Puzzles

作者:Fabio Maria Carlucci, Antonio D'Innocente, Silvia Bucci, Barbara Caputo, Tatiana Tommasi

论文链接:https://arxiv.org/abs/1903.06864

 

 

82、Learning Correspondence from the Cycle-Consistency of Time

作者:Xiaolong Wang, Allan Jabri, Alexei A. Efros

论文链接:https://arxiv.org/abs/1903.07593

项目链接:https://ajabri.github.io/timecycle/

 

 

83、Understanding the Limitations of CNN-based Absolute Camera Pose Regression

作者:Torsten Sattler, Qunjie Zhou, Marc Pollefeys, Laura Leal-Taixe

论文链接:https://arxiv.org/abs/1903.07504

 

 

84、Semantic Image Synthesis with Spatially-Adaptive Normalization(Oral, 英伟达)

作者:Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu

论文链接:https://arxiv.org/abs/1903.07291

 

 

85、Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection

作者:Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H. Li, Ge Li

论文链接:https://arxiv.org/abs/1903.07256

 

 

86、QATM: Quality-Aware Template Matching For Deep Learning

作者:Jiaxin Cheng, Yue Wu, Wael Abd-Almageed, Premkumar Natarajan

论文链接:https://arxiv.org/abs/1903.07254

 

 

87、AdaGraph: Unifying Predictive and ContinuousDomain Adaptation through Graphs(Oral)

作者:Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci

论文链接:https://arxiv.org/abs/1903.07062

 

 

88、Unsupervised Part-Based Disentangling of Object Shape and Appearance(Oral)

作者:Dominik Lorenz, Leonard Bereska, Timo Milbich, Björn Ommer

论文链接:https://arxiv.org/abs/1903.06946

 

 

89、Fast Interactive Object Annotation with Curve-GCN

作者:Huan Ling, Jun Gao, Amlan Kar, Wenzheng Chen, Sanja Fidler

论文链接:https://arxiv.org/abs/1903.06874

 

 

90、Domain Generalization by Solving Jigsaw Puzzles

作者:Fabio Maria Carlucci, Antonio D'Innocente, Silvia Bucci, Barbara Caputo, Tatiana Tommasi

论文链接:https://arxiv.org/abs/1903.06864

 

 

91、Neural Sequential Phrase Grounding (SeqGROUND)

作者:Pelin Dogan, Leonid Sigal, Markus Gross

论文链接:https://arxiv.org/abs/1903.07669

 

 

92、Probabilistic End-to-end Noise Correction for Learning with Noisy Labels

作者:Kun Yi, Jianxin Wu

论文链接:https://arxiv.org/abs/1903.07788

 

 

93、MagicVO: End-to-End Monocular Visual Odometry through Deep Bi-directional Recurrent Convolutional Neural Network(单目视觉测距)

作者:Jian Jiao, Jichao Jiao, Yaokai Mo, Weilun Liu, Zhongliang Deng

论文链接:https://arxiv.org/abs/1811.10964

论文摘要:本文提出了一种解决单眼视觉测距问题的新框架,称为MagicVO。 基于卷积神经网络(CNN)和双向LSTM(Bi-LSTM),MagicVO在摄像机的每个位置输出6-DoF绝对标度姿势,并以一系列连续单目图像作为输入。

 

 

94、Hierarchical Discrete Distribution Decomposition for Match Density Estimation(立体匹配)

作者:Zhichao Yin, Trevor Darrell, Fisher Yu

论文链接:https://arxiv.org/abs/1812.06264

论文简要:在本文中,我们提出了分层离散分布分解,称为HD3,以学习概率点和区域匹配。它不仅可以模拟匹配不确定性,还可以模拟区域传播。

 

 

95、Learning Linear Transformations for Fast Arbitrary Style Transfer

作者:Xueting Li, Sifei Liu, Jan Kautz, Ming-Hsuan Yang

论文链接:https://arxiv.org/pdf/1808.04537v1.pdf

 

 

96、Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses(Oral)

作者:Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger

论文链接:https://arxiv.org/abs/1811.09600

代码链接:https://github.com/jeromerony/fast_adversarial

 

 

97、Graphical Contrastive Losses for Scene Graph Generation

作者:Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro

论文链接:https://arxiv.org/abs/1903.02728

代码链接:https://github.com/NVIDIA/ContrastiveLosses4VRD

 

 

98、Pay attention! - Robustifying a Deep Visuomotor Policy through Task-Focused Attention

作者:Pooya Abolghasemi, Amir Mazaheri, Mubarak Shah, Ladislau Bölöni

论文链接:https://arxiv.org/abs/1809.10093

 

 

99、Cross-task weakly supervised learning from instructional videos

作者:Dimitri Zhukov, Jean-Baptiste Alayrac, Ramazan Gokberk Cinbis, David Fouhey, Ivan Laptev, Josef Sivic

论文链接:https://arxiv.org/abs/1903.08225

 

 

100、Explainable and Explicit Visual Reasoning over Scene Graphs

作者:Jiaxin Shi, Hanwang Zhang, Juanzi Li

论文链接:https://arxiv.org/abs/1812.01855

代码链接:https://github.com/shijx12/XNM-Net

 

 

101、Single Image Deraining: A Comprehensive Benchmark Analysis

作者:Siyuan Li, Iago Breno Araujo, Wenqi Ren, Zhangyang Wang, Eric K. Tokuda, Roberto Hirata Junior, Roberto Cesar-Junior, Jiawan Zhang, Xiaojie Guo, Xiaochun Cao

论文链接:https://arxiv.org/abs/1903.08558

代码链接:https://github.com/lsy17096535/Single-Image-Deraining

 

 

102、Im2Pencil: Controllable Pencil Illustration from Photographs

作者:Yijun Li, Chen Fang, Aaron Hertzmann, Eli Shechtman, Ming-Hsuan Yang

论文链接:https://arxiv.org/abs/1903.08682

 

104、DSFD: Dual Shot Face Detector(腾讯优图)

作者:Jian Li, Yabiao Wang, Changan Wang, Ying Tai

论文链接:https://arxiv.org/abs/1810.10220

代码链接:https://github.com/TencentYoutuResearch/FaceDetection-DSFD

微信公众号介绍链接:https://mp.weixin.qq.com/s/0rTCeHumVSv07hMCaCd7EA

 

 

105、Attention-aware Multi-stroke Style Transfer

作者:Yuan Yao, Jianqiang Ren, Xuansong Xie, Weidong Liu, Yong-Jin Liu, Jun Wang

论文链接:https://arxiv.org/abs/1901.05127

项目链接:https://sites.google.com/view/yuanyao/attention-aware-multi-stroke-style-transfer

 

 

106、Veritatem Dies Aperit- Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach

作者:Amir Atapour-Abarghouei, Toby P. Breckon

论文链接:https://arxiv.org/abs/1903.10764

 

 

107、Semantic Alignment: Finding Semantically Consistent Ground-truth for Facial Landmark Detection

作者:Zhiwei Liu, Xiangyu Zhu, Guosheng Hu, Haiyun Guo, Ming Tang, Zhen Lei, Neil M. Robertson, Jinqiao Wang

论文链接:https://arxiv.org/abs/1903.10661

 

 

108、Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning

作者:Xi Shen, Alexei A. Efros, Mathieu Aubry

论文链接:https://arxiv.org/abs/1903.02678

 

 

109、DeeperLab: Single-Shot Image Parser

作者:Tien-Ju Yang, Maxwell D. Collins, Yukun Zhu, Jyh-Jing Hwang, Ting Liu, Xiao Zhang, Vivienne Sze, George Papandreou, Liang-Chieh Chen

论文链接:https://arxiv.org/abs/1902.05093

代码链接:https://github.com/tensorflow/models/tree/master/research/deeplab/evaluation

项目链接:http://deeperlab.mit.edu/

 

 

110、Im2Pencil: Controllable Pencil Illustration from Photographs(Adobe与谷歌云等)

作者:Yijun Li,Chen Fang, Aaron Hertzmann, Eli Shechtman, Ming-Hsuan Yang

论文链接:https://drive.google.com/file/d/1sl5IBD36bMWAvKH7Uz7An0mcrIOmlopv/view

代码链接:https://github.com/Yijunmaverick/Im2Pencil

 

 

111、Unsupervised Image Captioning

作者:Yang Feng, Lin Ma, Wei Liu, Jiebo Luo

论文链接:https://arxiv.org/abs/1811.10787

代码链接:https://github.com/fengyang0317/unsupervised_captioning

 

 

112、An End-to-End Network for Generating Social Relationship Graphs

作者:Arushi Goel, Keng Teck Ma, Cheston Tan

论文链接:https://arxiv.org/abs/1903.09784

 

 

113、f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning

作者:Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata

论文链接:https://arxiv.org/abs/1903.10132

 

 

114、Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation

作者:Jaime Spencer, Richard Bowden, Simon Hadfield

论文链接:https://arxiv.org/abs/1903.10427

 

 

115、Learning Attraction Field Reprensentation for Robust Line Segment Detection

作者:Nan Xue, Song Bai, Fudong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang

论文链接:https://arxiv.org/abs/1812.02122

代码链接:https://github.com/cherubicXN/afm_cvpr2019

 

 

116、Feature Denoising for Improving Adversarial Robustness

作者:Cihang Xie, Yuxin Wu, Laurens van der Maaten, Alan Yuille, Kaiming He

论文链接:https://arxiv.org/abs/1812.03411v2

代码链接:https://github.com/facebookresearch/ImageNet-Adversarial-Training

 

 

117、DynTypo: Example-based Dynamic Text Effects Transfer

作者:Yifang Men Zhouhui Lian Yingmin Tang Jianguo Xiao

项目链接:https://menyifang.github.io/projects/DynTypo/DynTypo.html

 

 

118、Progressive Image Deraining Networks: A Better and Simpler Baseline

作者:Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, Deyu Meng

论文链接:https://arxiv.org/abs/1901.09221

代码链接:https://github.com/csdwren/PReNet

 

 

119、Transferable Interactiveness Prior for Human-Object Interaction Detection

作者:Yong-Lu Li, Siyuan Zhou, Xijie Huang, Liang Xu, Ze Ma, Hao-Shu Fang, Yan-Feng Wang, Cewu Lu

论文链接:https://arxiv.org/abs/1811.08264

代码链接:https://github.com/DirtyHarryLYL/Transferable-Interactiveness-Network

 

 

120、Speed Invariant Time Surface for Learning to Detect Corner Points with Event-Based Cameras

作者:Jacques Manderscheid, Amos Sironi, Nicolas Bourdis, Davide Migliore, Vincent Lepetit

论文链接:https://arxiv.org/abs/1903.11332

 

 

121、Self-Supervised Learning via Conditional Motion Propagation

作者:Xiaohang Zhan, Xingang Pan, Ziwei Liu, Dahua Lin, Chen Change Loy

论文链接:https://arxiv.org/abs/1903.11412

 

 

122、Privacy Protection in Street-View Panoramas using Depth and Multi-View Imagery

作者:Ries Uittenbogaard, Clint Sebastian, Julien Vijverberg, Bas Boom, Dariu M. Gavrila, Peter H.N. de With

论文链接:https://arxiv.org/abs/1903.11532

 

 

123、Rethinking Knowledge Graph Propagation for Zero-Shot Learning(零样本学习/图卷积网络)

作者:Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang, Hao Wang, Yujia Zhang, Eric P. Xing

论文链接:https://arxiv.org/abs/1805.11724v3

代码链接:https://github.com/cyvius96/adgpm

 

 

124、End-to-End Multi-Task Learning with Attention

作者:Shikun Liu, Edward Johns, Andrew J. Davison

论文链接:https://arxiv.org/abs/1803.10704

 

 

125、Deep Transfer Learning for Multiple Class Novelty Detection

作者:Pramuditha Perera, Vishal M. Patel

论文链接:https://arxiv.org/abs/1903.02196

 

 

126、Zoom to Learn, Learn to Zoom(Oral)

作者:Xuaner Zhang Qifeng Chen Ren Ng Vladlen Koltun

论文链接:https://cqf.io/papers/Zoom_To_Learn_CVPR2019.pdf

 

 

127、Learning to Transfer Examples for Partial Domain Adaptation(领域自适应)

作者:Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, Qiang Yang

论文链接:https://arxiv.org/abs/1903.12230

 

 

128、Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning

作者:Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo

论文链接:https://arxiv.org/abs/1903.12290

 

 

129、Lending Orientation to Neural Networks for Cross-view Geo-localization

作者:Liu Liu, Hongdong Li

论文链接:https://arxiv.org/abs/1903.12351

代码链接:https://github.com/Liumouliu/OriCNN

 

 

130、Towards Accurate Task Accomplishment with Low-Cost Robotic Arms

作者:Yiming Zuo, Weichao Qiu, Lingxi Xie, Fangwei Zhong, Yizhou Wang, Alan L. Yuille

论文链接:https://arxiv.org/abs/1812.00725

 

 

131、Robustness of 3D Deep Learning in an Adversarial Setting

作者:Matthew Wicker, Marta Kwiatkowska

论文链接:https://arxiv.org/abs/1904.00923

源码链接:https://github.com/matthewwicker/IterativeSalienceOcclusion

 

 

132、Depth from a polarisation + RGB stereo pair

作者:Dizhong Zhu, William A.P. Smith

论文链接:https://arxiv.org/abs/1903.12061

源码链接:https://github.com/AmosZhu/CVPR2019

 

 

133、Curls & Whey: Boosting Black-Box Adversarial Attacks(Oral)

作者:Yucheng Shi, Siyu Wang, Yahong Han

论文链接:https://arxiv.org/abs/1904.01160

 

 

134、Effective Aesthetics Prediction with Multi-level Spatially Pooled Features

作者:Vlad Hosu, Bastian Goldlucke, Dietmar Saupe

论文链接:https://arxiv.org/abs/1904.01382

 

 

135、Context and Attribute Grounded Dense Captioning

作者:Guojun Yin, Lu Sheng, Bin Liu, Nenghai Yu, Xiaogang Wang, Jing Shao

论文链接:https://arxiv.org/abs/1904.01410

 

 

136、Good News, Everyone! Context driven entity-aware captioning for news images

作者:Ali Furkan Biten, Lluis Gomez, Marçal Rusiñol, Dimosthenis Karatzas

论文链接:https://arxiv.org/abs/1904.01475

 

 

137、Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements

作者:Kaixuan Wei, Jiaolong Yang, Ying Fu, David Wipf, Hua Huang

论文链接:https://arxiv.org/abs/1904.00637

代码链接:https://github.com/Vandermode/ERRNet

 

 

138、NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences

作者:Chen Zhao, Zhiguo Cao, Chi Li, Xin Li, Jiaqi Yang

论文链接:https://arxiv.org/abs/1904.00320

 

 

139、Scene Graph Generation with External Knowledge and Image Reconstruction

作者:Jiuxiang Gu, Handong Zhao, Zhe Lin, Sheng Li, Jianfei Cai, Mingyang Ling

论文链接:https://arxiv.org/abs/1904.00560

 

 

140、Multi-source weak supervision for saliency detection

作者:Yu Zeng, Yunzhi Zhuge, Huchuan Lu, Lihe Zhang, Mingyang Qian, Yizhou Yu

论文链接:https://arxiv.org/abs/1904.00566

 

 

141、Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements

作者:Kaixuan Wei, Jiaolong Yang, Ying Fu, David Wipf, Hua Huang

论文链接:https://arxiv.org/abs/1904.00637

代码链接:https://github.com/Vandermode/ERRNet

 

 

142、Searching for A Robust Neural Architecture in Four GPU Hours

作者:Xuanyi Dong, Yi Yang

代码链接:https://github.com/D-X-Y/GDAS (will be public soon)

 

 

143、Conditional Adversarial Generative Flow for Controllable Image Synthesis

作者:Rui Liu, Yu Liu, Xinyu Gong, Xiaogang Wang, Hongsheng Li

论文链接:https://arxiv.org/pdf/1904.01782.pdf

 

 

144、SFNet: Learning Object-aware Semantic Correspondence(Oral)

作者:Junghyup Lee, Dohyung Kim, Jean Ponce, Bumsub Ham

论文链接:https://arxiv.org/pdf/1904.01810.pdf

 

 

145、Learning Context Graph for Person Search

作者:Yichao Yan, Qiang Zhang, Bingbing Ni, Wendong Zhang, Minghao Xu, Xiaokang Yang

论文链接:https://arxiv.org/pdf/1904.01830.pdf

 

 

146、Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation

作者:Shanshan Zhao, Huan Fu, Mingming Gong, Dacheng Tao

论文链接:https://arxiv.org/abs/1904.01870

 

 

147、CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth

作者:Jose M. Facil, Benjamin Ummenhofer, Huizhong Zhou, Luis Montesano, Thomas Brox, Javier Civera

论文链接:https://arxiv.org/abs/1904.02028

项目链接:http://webdiis.unizar.es/~jmfacil/camconvs/

 

 

148、Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning

作者:Tongtong Yuan, Weihong Deng, Jian Tang, Yinan Tang, Binghui Chen

论文链接:https://arxiv.org/abs/1904.02616

 

 

149、T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor

作者:Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos, Maja Pantic

论文链接:https://arxiv.org/abs/1904.02698

 

 

150、Assessment of Faster R-CNN in Man-Machine collaborative search

作者:Arturo Deza, Amit Surana, Miguel P. Eckstein

论文链接:https://arxiv.org/abs/1904.02805

 

 

151、Semantic Attribute Matching Networks

作者:Seungryong Kim, Dongbo Min, Somi Jeong, Sunok Kim, Sangryul Jeon, Kwanghoon Sohn

论文链接:https://arxiv.org/abs/1904.02969

 

 

152、Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning

作者:Oleksiy Ostapenko, Tassilo Klein, Mihai Puscas, Patrick Jähnichen, Moin Nabi

论文链接:https://arxiv.org/abs/1904.03137

 

 

153、Unsupervised Image Matching and Object Discovery as Optimization

作者:Huy V. Vo, Francis Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick Perez, Jean Ponce

论文链接:https://arxiv.org/abs/1904.03148

 

154、Calibration of Asynchronous Camera Networks for Object Reconstruction Tasks

作者:Amy Tabb, Henry Medeiros

论文链接:https://arxiv.org/abs/1903.06811

 

 

155、LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks

作者:Sudhakar Kumawat, Shanmuganathan Raman

论文链接:https://arxiv.org/abs/1904.03498

 

 

156、A Variational Auto-Encoder Model for Stochastic Point Processes

作者:Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori

论文链接:https://arxiv.org/abs/1904.03273

 

 

157、2.5D Visual Sound(FAIR Oral)

作者:Ruohan Gao, Kristen Grauman

论文链接:https://arxiv.org/abs/1812.04204

项目链接:http://vision.cs.utexas.edu/projects/2.5D_visual_sound/

源码链接:https://github.com/facebookresearch/FAIR-Play

 

 

158、DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality

作者:Chloe LeGendre, Wan-Chun Ma, Graham Fyffe, John Flynn, Laurent Charbonnel, Jay Busch, Paul Debevec

论文链接:https://arxiv.org/abs/1904.01175

 

 

159、What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment

作者:Paritosh Parmar, Brendan Tran Morris

论文链接:https://arxiv.org/abs/1904.04346

 

 

160、SoDeep: a Sorting Deep net to learn ranking loss surrogates

作者:Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord

论文链接:https://arxiv.org/abs/1904.04272

 

 

161、3D Local Features for Direct Pairwise Registration

作者:Haowen Deng, Tolga Birdal, Slobodan Ilic

论文链接:https://arxiv.org/abs/1904.04281

 

 

162、Neural Rerendering in the Wild(Oral)

作者:Moustafa Meshry, Dan B Goldman, Sameh Khamis, Hugues Hoppe, Rohit Pandey, Noah Snavely, Ricardo Martin-Brualla

论文链接:https://arxiv.org/abs/1904.04290

 

 

163、End-to-end Projector Photometric Compensation

作者:Bingyao Huang, Haibin Ling

论文链接:https://arxiv.org/abs/1904.04335

 

 

164、Reliable and Efficient Image Cropping: A Grid Anchor based Approach

作者:Hui Zeng, Lida Li, Zisheng Cao, Lei Zhang

论文链接:https://arxiv.org/abs/1904.04441

代码链接:https://github.com/HuiZeng/Grid-Anchor-based-Image-Cropping

 

 

165、Graphonomy: Universal Human Parsing via Graph Transfer Learning

作者:Ke Gong, Yiming Gao, Xiaodan Liang, Xiaohui Shen, Meng Wang, Liang Lin

论文链接:https://arxiv.org/abs/1904.04536

源码链接:https://github.com/Gaoyiminggithub/Graphonomy

 

 

166、Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks

作者:Eunwoo Kim, Chanho Ahn, Philip H.S. Torr, Songhwai Oh

论文链接:https://arxiv.org/abs/1904.04562

 

 

167、Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology(Oral)

作者:Ke Yan, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers

论文链接:https://arxiv.org/abs/1904.04661

 

 

168、Domain-Symmetric Networks for Adversarial Domain Adaptation

作者:Yabin Zhang, Hui Tang, Kui Jia, Mingkui Tan

论文链接:https://arxiv.org/abs/1904.04663

 

 

169、Label Propagation for Deep Semi-supervised Learning

作者:Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum

论文链接:https://arxiv.org/abs/1904.04717

 

 

170、Leveraging the Invariant Side of Generative Zero-Shot Learning

作者:Jingjing Li, Mengmeng Jin, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang

论文链接:https://arxiv.org/abs/1904.04092

 

 

171、Learning monocular depth estimation infusing traditional stereo knowledge

作者:Fabio Tosi, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia

论文链接:https://arxiv.org/abs/1904.04144

代码链接:https://github.com/fabiotosi92/monoResMatch-Tensorflow

 

 

172、nsupervised learning of action classes with continuous temporal embedding

作者:Anna Kukleva, Hilde Kuehne, Fadime Sener, Juergen Gall

论文链接:https://arxiv.org/abs/1904.04189

 

 

173、GA-Net: Guided Aggregation Net for End-to-end Stereo Matching(Oral)

作者:Feihu Zhang, Victor Prisacariu, Ruigang Yang, Philip H.S. Torr

论文链接:https://arxiv.org/abs/1904.06587

 

 

174、LiveSketch: Query Perturbations for Guided Sketch-based Visual Search

作者:John Collomosse, Tu Bui, Hailin Jin

论文链接:https://arxiv.org/abs/1904.06611

 

 

175、Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning

论文链接:https://arxiv.org/abs/1904.06627

源码链接:https://github.com/MalongTech/research-ms-loss

 

 

176、ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging(Oral)

作者:Samarth Brahmbhatt, Cusuh Ham, Charles C. Kemp, James Hays

论文链接:https://arxiv.org/abs/1904.06830

 

 

177、Self-critical n-step Training for Image Captioning(图像生成)

作者:Junlong Gao, Shiqi Wang, Shanshe Wang, Siwei Ma, Wen Gao

论文链接:https://arxiv.org/abs/1904.06861

 

 

178、C3AE: Exploring the Limits of Compact Model for Age Estimation

作者:Chao Zhang, Shuaicheng Liu, Xun Xu, Ce Zhu

论文链接:https://arxiv.org/abs/1904.05059

 

 

179、DAVANet: Stereo Deblurring with View Aggregation(Oral)

作者:Shangchen Zhou, Jiawei Zhang, Wangmeng Zuo, Haozhe Xie, Jinshan Pan, Jimmy Ren

论文链接:https://arxiv.org/abs/1904.05065

 

 

180、Actor-Critic Instance Segmentation

作者:Kwang In Kim, Hyung Jin Chang

论文链接:https://arxiv.org/abs/1904.05126

 

 

181、Joint Manifold Diffusion for Combining Predictions on Decoupled Observations

作者:Kwang In Kim, Hyung Jin Chang

论文链接:https://arxiv.org/abs/1904.05159

 

 

182、Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation

作者:Junhwa Hur, Stefan Roth

论文链接:https://arxiv.org/abs/1904.05290

 

 

183、Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres

作者:Shuai Liao, Efstratios Gavves, Cees G. M. Snoek

论文链接:https://arxiv.org/abs/1904.05404

 

184、Sliced Wasserstein Generative Models

作者:Jiqing Wu, Zhiwu Huang, Dinesh Acharya, Wen Li, Janine Thoma, Danda Pani Paudel, Luc Van Gool

论文链接:https://arxiv.org/abs/1904.05408

源码链接:https://github.com/musikisomorphie/swd

 

 

185、Learning to Generate Synthetic Data via Compositing

作者:Shashank Tripathi, Siddhartha Chandra, Amit Agrawal, Ambrish Tyagi, James M. Rehg, Visesh Chari

论文链接:https://arxiv.org/abs/1904.05475

 

 

186、Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach(Oral)

作者:Proteek Chandan Roy, Vishnu Naresh Boddeti

论文链接:https://arxiv.org/abs/1904.05514

 

 

187、Unified Visual-Semantic Embeddings: Bridging Vision and Language with Structured Meaning Representations

作者:Hao Wu, Jiayuan Mao, Yufeng Zhang, Yuning Jiang, Lei Li, Weiwei Sun, Wei-Ying Ma

论文链接:https://arxiv.org/abs/1904.05521

 

 

188、Reasoning Visual Dialogs with Structural and Partial Observations(Oral)

作者:Zilong Zheng, Wenguan Wang, Siyuan Qi, Song-Chun Zhu

论文链接:https://arxiv.org/abs/1904.05548

 

 

189、C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection

作者:Fang Wan, Chang Liu, Wei Ke, Xiangyang Ji, Jianbin Jiao, Qixiang Ye

论文链接:https://arxiv.org/abs/1904.05647

 

 

190、TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning

作者:Xin Wang, Fisher Yu, Ruth Wang, Trevor Darrell, Joseph E. Gonzalez

论文链接:https://arxiv.org/abs/1904.05967

 

 

191、Real-Time Dense Stereo Embedded in A UAV for Road Inspection

作者:Rui Fan, Jianhao Jiao, Jie Pan, Huaiyang Huang, Shaojie Shen, Ming Liu

论文链接:https://arxiv.org/abs/1904.06017

 

 

192、Unifying Heterogeneous Classifiers with Distillation

作者:Jayakorn Vongkulbhisal, Phongtharin Vinayavekhin, Marco Visentini-Scarzanella

论文链接:https://arxiv.org/abs/1904.06062

 

 

193、Learning joint reconstruction of hands and manipulated objects

作者:Yana Hasson, Gül Varol, Dimitrios Tzionas, Igor Kalevatykh, Michael J. Black, Ivan Laptev, Cordelia Schmid

论文链接:https://arxiv.org/abs/1904.05767

 

 

194、Probabilistic Permutation Synchronization using the Riemannian Structure of the Birkhoff Polytope(Oral)

作者:Tolga Birdal, Umut Şimşekli

论文链接:https://arxiv.org/abs/1904.05814

 

 

195、Variational Information Distillation for Knowledge Transfer

作者:Sungsoo Ahn, Shell Xu Hu, Andreas Damianou, Neil D. Lawrence, Zhenwen Dai

论文链接:https://arxiv.org/abs/1904.05835

 

 

196、Expressive Body Capture: 3D Hands, Face, and Body from a Single Image

作者:Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, Michael J. Black

论文链接:https://arxiv.org/abs/1904.05866

 

 

197、A Simple Baseline for Audio-Visual Scene-Aware Dialog

作者:Idan Schwartz, Alexander Schwing, Tamir Hazan

论文链接:https://arxiv.org/abs/1904.05876

 

 

198、Two Body Problem: Collaborative Visual Task Completion

作者:Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander Schwing, Aniruddha Kembhavi

论文链接:https://arxiv.org/abs/1904.05879

 

 

199、Factor Graph Attention

作者:Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander Schwing

论文链接:https://arxiv.org/abs/1904.05880

 

 

200、Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning

作者:Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo

论文链接:http://cs.nju.edu.cn/rl/people/liwb/CVPR19.pdf

源码链接:https://github.com/WenbinLee/DN4.git

 

 

201、Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders

作者:Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata

论文链接:https://arxiv.org/abs/1812.01784

源码链接:https://github.com/edgarschnfld/CADA-VAE-PyTorch

 

 

202、Learning Attraction Field Representation for Robust Line Segment Detection

作者:Nan Xue, Song Bai, Fudong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang

论文链接:https://arxiv.org/abs/1812.02122

源码链接:https://github.com/cherubicXN/afm_cvpr2019

 

 

203、Live Reconstruction of Large-Scale Dynamic Outdoor Worlds

作者:Ondrej Miksik, Vibhav Vineet

论文链接:https://arxiv.org/abs/1903.06708

 

 

204、Automatic adaptation of object detectors to new domains using self-training

作者:Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang, Liangliang Cao, Erik Learned-Miller

论文链接:https://arxiv.org/abs/1904.07305

 

 

205、A Bayesian Perspective on the Deep Image Prior

作者:Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon

论文链接:https://arxiv.org/abs/1904.07457

源码链接:https://github.com/ZezhouCheng/GP-DIP

 

 

206、Focus Is All You Need: Loss Functions For Event-based Vision

作者:Guillermo Gallego, Mathias Gehrig, Davide Scaramuzza

论文链接:https://arxiv.org/abs/1904.07235

 

 

207、Semantically Aligned Bias Reducing Zero Shot Learning

作者:Akanksha Paul, Narayanan C. Krishnan, Prateek Munjal

论文链接:https://arxiv.org/abs/1904.07659

 

 

208、ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples

作者:Xiaojun Jia, Xingxing Wei, Xiaochun Cao, Hassan Foroosh

论文链接:http://nlpr-web.ia.ac.cn/mmc/homepage/jygao/gct_cvpr2019.html

源码链接:https://github.com/jiaxiaojunQAQ/Comdefend

论文解读:CVPR 2019 | 图像压缩重建也能抵御对抗样本,这是一种新的防守策略

 

 

209、REPAIR: Removing Representation Bias by Dataset Resampling

作者:Yi Li, Nuno Vasconcelos

论文链接:https://arxiv.org/abs/1904.07911

源码链接:https://github.com/JerryYLi/Dataset-REPAIR/

 

 

210、Devil is in the Edges: Learning Semantic Boundaries from Noisy Annotations(Oral)

作者:David Acuna, Amlan Kar, Sanja Fidler

论文链接:https://arxiv.org/abs/1904.07934

项目链接:https://nv-tlabs.github.io/STEAL/

 

 

211、Multi-Scale Geometric Consistency Guided Multi-View Stereo

作者:Qingshan Xu, Wenbing Tao

论文链接:https://arxiv.org/abs/1904.08103

 

 

212、DistanceNet: Estimating Traveled Distance from Monocular Images using a Recurrent Convolutional Neural Network

作者:Robin Kreuzig, Matthias Ochs, Rudolf Mester

论文链接:https://arxiv.org/abs/1904.08105

 

 

213、Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection

作者:Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau

论文链接:https://arxiv.org/abs/1904.08208

 

 

214、LO-Net: Deep Real-time Lidar Odometry

作者:Qing Li, Shaoyang Chen, Cheng Wang, Xin Li, Chenglu Wen, Ming Cheng, Jonathan Li

论文链接:https://arxiv.org/abs/1904.08242

 

 

215、Events-to-Video: Bringing Modern Computer Vision to Event Cameras

作者:Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza

论文链接:https://arxiv.org/abs/1904.08298

 

 

216、ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging(Oral)

作者: Samarth Brahmbhatt, Cusuh Ham, Charles C. Kemp, and James Hays

论文链接:https://contactdb.cc.gatech.edu/contactdb_paper.pdf

源码链接:https://github.com/samarth-robo/contactdb_prediction

 

 

217、Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images

作者:Junsik Kim, Tae-Hyun Oh, Seokju Lee, Fei Pan, In So Kweon

论文链接:https://arxiv.org/abs/1904.08482

 

 

218、Few-Shot Learning with Localization in Realistic Settings

作者:Davis Wertheimer, Bharath Hariharan

论文链接:https://arxiv.org/abs/1904.08502

 

 

219、Progressive Attention Memory Network for Movie Story Question Answering

作者:Junyeong Kim, Minuk Ma, Kyungsu Kim, Sungjin Kim, Chang D. Yoo

论文链接:https://arxiv.org/abs/1904.08607

 

 

220、DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition

作者:Toby Perrett, Dima Damen

论文链接:https://arxiv.org/abs/1904.08634

 

 

221、A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning

作者:Thanh-Toan Do, Toan Tran, Ian Reid, Vijay Kumar, Tuan Hoang, Gustavo Carneiro

论文链接:https://arxiv.org/abs/1904.08720

 

222、4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks

作者:Christopher Choy, JunYoung Gwak, Silvio Savarese

论文链接:https://arxiv.org/abs/1904.08755

 

 

223、Attentive Single-Tasking of Multiple Tasks

作者:Kevis-Kokitsi Maninis, Ilija Radosavovic, Iasonas Kokkinos

论文链接:https://arxiv.org/abs/1904.08918

 

 

224、Listen to the Image

作者:Di Hu, Dong Wang, Xuelong Li, Feiping Nie, Qi Wang

论文链接:https://arxiv.org/abs/1904.09115

 

 

225、SelFlow: Self-Supervised Learning of Optical Flow

作者:Pengpeng Liu, Michael Lyu, Irwin King, Jia Xu

论文链接:https://arxiv.org/abs/1904.09117

 

 

226、Visualizing the decision-making process in deep neural decision forest

作者:Shichao Li, Kwang-Ting Cheng

论文链接:https://arxiv.org/abs/1904.09201

源码链接:https://github.com/Nicholasli1995/VisualizingNDF

 

 

227、Data-Driven Neuron Allocation for Scale Aggregation Networks

作者:Yi Li, Zhanghui Kuang, Yimin Chen, Wayne Zhang

论文链接:https://arxiv.org/abs/1904.09460

 

 

228、TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation

作者:Wayne Wu, Kaidi Cao, Cheng Li, Chen Qian, Chen Change Loy

论文链接:https://arxiv.org/abs/1904.09571

 

 

229、Deep Metric Learning Beyond Binary Supervision(Oral)

作者:Sungyeon Kim, Minkyo Seo, Ivan Laptev, Minsu Cho, Suha Kwak

论文链接:https://arxiv.org/abs/1904.09626

 

 

230、Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids

作者: Despoina Paschalidou, Ali Osman Ulusoy, Andreas Geiger

论文链接:https://arxiv.org/abs/1904.09970

源码链接:https://github.com/paschalidoud/superquadric_parsing

 

 

231、Unsupervised Person Image Generation with Semantic Parsing Transformation

作者:Sijie Song, Wei Zhang, Jiaying Liu, Tao Mei

论文链接:https://arxiv.org/abs/1904.03379

项目链接:https://github.com/SijieSong/person_generation_spt

 

 

232、Multi-Agent Tensor Fusion for Contextual Trajectory Prediction

作者:Tianyang Zhao, Yifei Xu, Mathew Monfort, Wongun Choi, Chris Baker, Yibiao Zhao, Yizhou Wang, Ying Nian Wu

论文链接:https://arxiv.org/abs/1904.04776

 

 

233、Learning Actor Relation Graphs for Group Activity Recognition

作者:Jianchao Wu, Limin Wang, Li Wang, Jie Guo, Gangshan Wu

论文链接:https://arxiv.org/abs/1904.10117

 

 

234、Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More

作者:Jingwen Ye, Yixin Ji, Xinchao Wang, Kairi Ou, Dapeng Tao, Mingli Song

论文链接:https://arxiv.org/abs/1904.10167

 

 

235、Attention-guided Network for Ghost-free High Dynamic Range Imaging

作者:Qingsen Yan, Dong Gong, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Ian Reid, Yanning Zhang

论文链接:https://arxiv.org/abs/1904.10293

 

 

236、Sim-Real Joint Reinforcement Transfer for 3D Indoor Navigation

作者:Fengda Zhu, Linchao Zhu, Yi Yang

论文链接:https://arxiv.org/abs/1904.03895

 

 

237、Detailed Human Shape Estimation from a Single Image by Hierarchical Mesh Deformation

作者:Hao Zhu, Xinxin Zuo, Sen Wang, Xun Cao, Ruigang Yang

论文链接:https://arxiv.org/abs/1904.10506v1

源码链接:https://github.com/zhuhao-nju/hmd.git

 

 

238、Universal Domain Adaptation

作者:Kaichao You, Mingsheng Long, Zhangjie Cao, Jianmin Wang, and Michael . Jordan

论文链接:https://youkaichao.github.io/files/cvpr2019/1628.pdf

源码链接:https://github.com/thuml/Universal-Domain-Adaptation

 

 

239、STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing

作者:Ming Liu, Yukang Ding, Min Xia, Xiao Liu, Errui Ding, Wangmeng Zuo, Shilei Wen

论文链接:https://arxiv.org/abs/1904.09709

源码链接:https://github.com/csmliu/STGAN

 

 

240、DeepCaps: Going Deeper with Capsule Networks

作者:Jathushan Rajasegaran, Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Suranga Seneviratne, Ranga Rodrigo

论文链接:https://arxiv.org/abs/1904.09546

源码链接:https://github.com/brjathu/deepcaps

 

 

241、Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning

作者:Kshitij Dwivedi, Gemma Roig

论文链接:https://arxiv.org/abs/1904.11740

源码链接:https://github.com/kshitijd20/RSA-CVPR19-release

 

 

242、Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis

作者:Yu Yu, Gang Liu, Jean-Marc Odobez

论文链接:https://arxiv.org/abs/1904.10638

 

 

243、Transferrable Prototypical Networks for Unsupervised Domain Adaptation(Oral)

作者:Yingwei Pan, Ting Yao, Yehao Li, Yu Wang, Chong-Wah Ngo, Tao Mei

论文链接:https://arxiv.org/abs/1904.11227

 

 

244、Exploring Object Relation in Mean Teacher for Cross-Domain Detection

作者:Qi Cai, Yingwei Pan, Chong-Wah Ngo, Xinmei Tian, Lingyu Duan, Ting Yao

论文链接:https://arxiv.org/abs/1904.11245

 

 

245、Pointing Novel Objects in Image Captioning

作者:Yehao Li, Ting Yao, Yingwei Pan, Hongyang Chao, Tao Mei

论文链接:https://arxiv.org/abs/1904.11251

 

 

246、Style Transfer by Relaxed Optimal Transport and Self-Similarity

作者:Nicholas Kolkin, Jason Salavon, Gregory Shakhnarovich

论文链接:https://arxiv.org/pdf/1904.12785.pdf

源码链接:https://github.com/nkolkin13/STROTSS

 

 

247、Decoders Matter for Semantic Segmentation:Data-Dependent Decoding Enables Flexible Feature Aggregation

作者:Zhi Tian, Tong He, Chunhua Shen, Youliang Yan

论文链接:https://arxiv.org/abs/1903.02120

 

 

248、Improving Transferability of Adversarial Examples with Input Diversity

作者:Cihang Xie; Yuyin Zhou; Song Bai; Zhishuai Zhang; Jianyu Wang; Zhou Ren; Alan Yuille

论文链接:https://arxiv.org/abs/1803.06978

源码链接:https://github.com/cihangxie/DI-2-FGSM

 

 

249、Contrastive Adaptation Network for Unsupervised Domain Adaptation

作者:Guoliang Kang, Lu Jiang, Yi Yang, Alexander G Hauptmann

论文链接:https://arxiv.org/pdf/1901.00976.pdf

 

 

250、Weakly Supervised Open-set Domain Adaptation by Dual-domain Collaboration

作者:Shuhan Tan, Jiening Jiao, Wei-Shi Zheng

论文链接:https://arxiv.org/abs/1904.13179

 

 

251、Self-Supervised Convolutional Subspace Clustering Network

作者:Junjian Zhang, Chun-Guang Li, Chong You, Xianbiao Qi, Honggang Zhang, Jun Guo, Zhouchen Lin

论文链接:https://arxiv.org/abs/1905.00149

 

 

252、AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations

作者:Xiao Zhang, Rui Zhao, Yu Qiao, Xiaogang Wang, Hongsheng Li

论文链接:https://arxiv.org/abs/1905.00292

 

 

253、Pushing the Boundaries of View Extrapolation with Multiplane Images

作者:Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng, Noah Snavely

论文链接:https://arxiv.org/abs/1905.00413

 

 

254、Lifting Vectorial Variational Problems: A Natural Formulation based on Geometric Measure Theory and Discrete Exterior Calculus

作者:Thomas Möllenhoff, Daniel Cremers

论文链接:https://arxiv.org/abs/1905.00851

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