CVPR 2016-12-05

[1] arXiv:1612.00837 [pdf, other]
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
使V在VQA的事中：提高图像理解视觉问答的作用
Yash Goyal, Tejas Khot, Douglas Summers-Stay, Dhruv Batra, Devi Parikh
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Learning (cs.LG)

[2] arXiv:1612.00835 [pdf, other]
Scribbler: Controlling Deep Image Synthesis with Sketch and Color
Scribbler：素描、色彩控制对深度图像合成
Patsorn Sangkloy, Jingwan Lu, Chen Fang, Fisher Yu, James Hays
Comments: 13 pages, 14 figures
Subjects: Computer Vision and Pattern Recognition (cs.CV); Learning (cs.LG)

[3] arXiv:1612.00814 [pdf, other]
Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision
透视变换网：无需三维监督的单视角三维物体重建
Xinchen Yan, Jimei Yang, Ersin Yumer, Yijie Guo, Honglak Lee
Comments: published at NIPS 2016
Subjects: Computer Vision and Pattern Recognition (cs.CV); Graphics (cs.GR); Learning (cs.LG)

[4] arXiv:1612.00799 [pdf, other]
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images
对于结肠镜图像腔内场景的分割基准
David Vázquez, Jorge Bernal, F. Javier Sánchez, Gloria Fernández-Esparrach, Antonio M. López, Adriana Romero, Michal Drozdzal, Aaron Courville
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[5] arXiv:1612.00738 [pdf, other]
Action Recognition with Dynamic Image Networks
动态图像网络的动作识别
Hakan Bilen, Basura Fernando, Efstratios Gavves, Andrea Vedaldi
Comments: 14 pages, 9 figures, 11 tables
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[6] arXiv:1612.00645 [pdf]
Centrog Feature technique for vehicle type recognition at day and night times
在白天和黑夜Centrog特征技术的车辆类型识别
Martins E. Irhebhude, Philip O. Odion, Darius T. Chinyio
Comments: 14 pages, 8 figures, Journal article
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[7] arXiv:1612.00625 [pdf]
Recognition of Text Image Using Multilayer Perceptron
使用多层感知器的文本图像识别
Singh Vijendra, Nisha Vasudeva, Hem Jyotsana Parashar
Comments: 2011 IEEE 3rd International Conference on Machine Learning and Computing (ICMLC 2011, Singapore, PP 547-550
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[8] arXiv:1612.00606 [pdf, other]
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation
SyncSpecCNN：同步光谱CNN的三维形状分割
Li Yi, Hao Su, Xingwen Guo, Leonidas Guibas
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[9] arXiv:1612.00604 [pdf, ps, other]
Globally Consistent Multi-People Tracking using Motion Patterns
基于运动模式的全局一致性多人跟踪
Andrii Maksai, Xinchao Wang, Francois Fleuret, Pascal Fua
Comments: 8 pages, 7 figures. 11 pages supplementary
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[10] arXiv:1612.00603 [pdf, other]
A Point Set Generation Network for 3D Object Reconstruction from a Single Image
从一单一图像进行三维物体重建的点集生成网络
Haoqiang Fan, Hao Su, Leonidas Guibas
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[11] arXiv:1612.00596 [pdf, other]
Learning to Search on Manifolds for 3D Pose Estimation of Articulated Objects
流形上的学习搜索对铰接物体的三维姿态估计
Yu Zhang, Chi Xu, Li Cheng
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[12] arXiv:1612.00593 [pdf, other]
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet：点集的三维分类和分割的深度学习
Charles R. Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[13] arXiv:1612.00576 [pdf, other]
Guided Open Vocabulary Image Captioning with Constrained Beam Search
引导开放词汇图像字幕的约束束搜索
Peter Anderson, Basura Fernando, Mark Johnson, Stephen Gould
Comments: Under submission to CVPR 2017
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[14] arXiv:1612.00560 [pdf, other]
Zero-Shot Learning via Revealing Data Distribution
通过揭示数据分布的零镜头学习
Bo Zhao, Botong Wu, Tianfu Wu, Yizhou Wang
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[15] arXiv:1612.00558 [pdf, other]
Unsupervised Human Action Detection by Action Matching
动作匹配的无监督人体行为检测
Basura Fernando, Sareh Shirazi, Stephen Gould
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[16] arXiv:1612.00542 [pdf, other]
Breast Mass Classification from Mammograms using Deep Convolutional Neural Networks
使用深度卷积神经网络从乳房X光图片中分类乳腺肿块
Daniel Lévy, Arzav Jain
Comments: NIPS 2016 ML4HC Workshop
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI)

[17] arXiv:1612.00534 [pdf, other]
Object Detection via End-to-End Integration of Aspect Ratio and Context Aware Part-based Models and Fully Convolutional Networks
通过端到端的纵横比和上下文感知部分的模型和完全卷积网络的目标检测
Bo Li, Tianfu Wu, Shuai Shao, Lun Zhang, Rufeng Chu
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[18] arXiv:1612.00523 [pdf, other]
Photorealistic Facial Texture Inference Using Deep Neural Networks
使用深度神经网络的逼真的面部纹理推理
Shunsuke Saito, Lingyu Wei, Liwen Hu, Koki Nagano, Hao Li
Subjects: Computer Vision and Pattern Recognition (cs.CV); Graphics (cs.GR)

[19] arXiv:1612.00522 [pdf, other]
A Visual Representation for Editing Face Images
用于编辑人脸图像的可视化表示
Jiajun Lu, Kalyan Sunkavalli, Nathan Carr, Sunil Hadap, David Forsyth
Subjects: Computer Vision and Pattern Recognition (cs.CV); Graphics (cs.GR)

[20] arXiv:1612.00500 [pdf, other]
Object-Centric Representation Learning from Unlabeled Videos
未标记视频中的以对象为中心的学习
Ruohan Gao, Dinesh Jayaraman, Kristen Grauman
Comments: In Proceedings of the Asian Conference on Computer Vision (ACCV), 2016
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[21] arXiv:1612.00496 [pdf, other]
3D Bounding Box Estimation Using Deep Learning and Geometry
使用深度学习和几何的三维包围盒估计
Arsalan Mousavian, Dragomir Anguelov, John Flynn, Jana Kosecka
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[22] arXiv:1612.00478 [pdf, other]
In Teacher We Trust: Learning Compressed Models for Pedestrian Detection
我们信任的老师：学习压缩模型的行人检测
Jonathan Shen, Noranart Vesdapunt, Vishnu N. Boddeti, Kris M. Kitani
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[23] arXiv:1612.00472 [pdf, other]
Unsupervised learning of image motion by recomposing sequences
通过重构序列的图像运动无监督学习
Andrew Jaegle, Stephen Phillips, Daphne Ippolito, Kostas Daniilidis
Comments: 14 pages, including references and supplement
Subjects: Computer Vision and Pattern Recognition (cs.CV); Neural and Evolutionary Computing (cs.NE)

[24] arXiv:1612.00686 (cross-list from cs.LG) [pdf, other]
Identifying and Categorizing Anomalies in Retinal Imaging Data
识别和分类异常的视网膜成像数据
Philipp Seeböck, Sebastian Waldstein, Sophie Klimscha, Bianca S. Gerendas, René Donner, Thomas Schlegl, Ursula Schmidt-Erfurth, Georg Langs
Comments: Extended Abstract, Accepted for NIPS 2016 Workshop “Machine Learning for Health”
Subjects: Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)

[25] arXiv:1612.00667 (cross-list from stat.ML) [pdf, other]
Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modeling
对于影像学分析Voxelwise 非线性回归工具箱：衰老和神经退行性疾病建模中的应用
Santi Puch, Asier Aduriz, Adrià Casamitjana, Veronica Vilaplana, Paula Petrone, Grégory Operto, Raffaele Cacciaglia, Stavros Skouras, Carles Falcon, José Luis Molinuevo, Juan Domingo Gispert
Comments: 4 pages + 1 page for references. NIPS 2016 Workshop on Machine Learning for Health (NIPS ML4HC)
Subjects: Machine Learning (stat.ML); Computer Vision and Pattern Recognition (cs.CV); Learning (cs.LG); Neurons and Cognition (q-bio.NC); Applications (stat.AP)

[26] arXiv:1612.00563 (cross-list from cs.LG) [pdf, other]
Self-critical Sequence Training for Image Captioning
图像字幕自我批判的训练序列
Steven J. Rennie, Etienne Marcheret, Youssef Mroueh, Jarret Ross, Vaibhava Goel
Comments: 16 pages
Subjects: Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV)