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CVPR2017 all paper list

CVPR2017 会也开完了，paper也放出来了

Machine Learning 1

Spotlight 1-1A

Exclusivity-Consistency Regularized Multi-View Subspace Clustering: Xiaojie Guo, Xiaobo Wang, Zhen Lei, Changqing Zhang, Stan Z. Li
Borrowing Treasures From the Wealthy: Deep Transfer Learning Through Selective Joint Fine-Tuning: Weifeng Ge, Yizhou Yu
The More You Know: Using Knowledge Graphs for Image Classification: Kenneth Marino, Ruslan Salakhutdinov, Abhinav Gupta
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs: Martin Simonovsky, Nikos Komodakis
Convolutional Neural Network Architecture for Geometric Matching: Ignacio Rocco, Relja ArandjeloviÄ‡, Josef Sivic
Deep Affordance-Grounded Sensorimotor Object Recognition: Spyridon Thermos, Georgios Th. Papadopoulos, Petros Daras, Gerasimos Potamianos
Discovering Causal Signals in Images: David Lopez-Paz, Robert Nishihara, Soumith Chintala, Bernhard SchÃ¶lkopf, Léon Bottou
On Compressing Deep Models by Low Rank and Sparse Decomposition: Xiyu Yu, Tongliang Liu, Xinchao Wang, Dacheng Tao

Oral 1-1A

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation: Charles R. Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas
Universal Adversarial Perturbations: Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard
Unsupervised Pixel-Level Domain Adaptation With Generative Adversarial Networks: Konstantinos Bousmalis, Nathan Silberman, David Dohan, Dumitru Erhan, Dilip Krishnan
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network ( PDF, code): Christian Ledig, Lucas Theis, Ferenc HuszÃƒÂ¡r, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, Wenzhe Shi

3D Vision 1

Spotlight 1-1B

Context-Aware Captions From Context-Agnostic Supervision: Ramakrishna Vedantam, Samy Bengio, Kevin Murphy, Devi Parikh, Gal Chechik
Global Hypothesis Generation for 6D Object Pose Estimation ( PDF): Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother
A Practical Method for Fully Automatic Intrinsic Camera Calibration Using Directionally Encoded Light: Mahdi Abbaspour Tehrani, Thabo Beeler, Anselm GrundhÃ¶fer
CATS: A Color and Thermal Stereo Benchmark: Wayne Treible, Philip Saponaro, Scott Sorensen, Abhishek Kolagunda, Michael O'Neal, Brian Phelan, Kelly Sherbondy, Chandra Kambhamettu
Elastic Shape-From-Template With Spatially Sparse Deforming Forces: Abed Malti, Cédric Herzet
Distinguishing the Indistinguishable: Exploring Structural Ambiguities via Geodesic Context: Qingan Yan, Long Yang, Ling Zhang, Chunxia Xiao
Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation: Dan Xu, Elisa Ricci, Wanli Ouyang, Xiaogang Wang, Nicu Sebe
Dynamic Time-Of-Flight: Michael Schober, Amit Adam, Omer Yair, Shai Mazor, Sebastian Nowozin

Oral 1-1B

Semantic Scene Completion From a Single Depth Image: Shuran Song, Fisher Yu, Andy Zeng, Angel X. Chang, Manolis Savva, Thomas Funkhouser
3DMatch: Learning Local Geometric Descriptors From RGB-D Reconstructions: Andy Zeng, Shuran Song, Matthias NieÃŸner, Matthew Fisher, Jianxiong Xiao, Thomas Funkhouser
Multi-View Supervision for Single-View Reconstruction via Differentiable Ray Consistency ( PDF, project, code): Shubham Tulsiani, Tinghui Zhou, Alexei A. Efros, Jitendra Malik
On-The-Fly Adaptation of Regression Forests for Online Camera Relocalisation ( PDF): Tommaso Cavallari, Stuart Golodetz, Nicholas A. Lord, Julien Valentin, Luigi Di Stefano, Philip H. S. Torr

Low- & Mid-Level Vision

Spotlight 1-1C

Designing Effective Inter-Pixel Information Flow for Natural Image Matting: YaÄŸiz Aksoy, TunÃ§ Ozan Aydin, Marc Pollefeys
Deep Video Deblurring for Hand-Held Cameras: Shuochen Su, Mauricio Delbracio, Jue Wang, Guillermo Sapiro, Wolfgang Heidrich, Oliver Wang
Instance-Level Salient Object Segmentation: Guanbin Li, Yuan Xie, Liang Lin, Yizhou Yu
Deep Multi-Scale Convolutional Neural Network for Dynamic Scene Deblurring: Seungjun Nah, Tae Hyun Kim, Kyoung Mu Lee
Diversified Texture Synthesis With Feed-Forward Networks: Yijun Li, Chen Fang, Jimei Yang, Zhaowen Wang, Xin Lu, Ming-Hsuan Yang
Radiometric Calibration for Internet Photo Collections ( PDF): Zhipeng Mo, Boxin Shi, Sai-Kit Yeung, Yasuyuki Matsushita
Deeply Aggregated Alternating Minimization for Image Restoration: Youngjung Kim, Hyungjoo Jung, Dongbo Min, Kwanghoon Sohn
End-To-End Instance Segmentation With Recurrent Attention: Mengye Ren, Richard S. Zemel

Oral 1-1C

SRN: Side-output Residual Network for Object Symmetry Detection in the Wild: Wei Ke, Jie Chen, Jianbin Jiao, Guoying Zhao, Qixiang Ye
Deep Image Matting ( PDF, abstract): Ning Xu, Brian Price, Scott Cohen, Thomas Huang
Wetness and Color From a Single Multispectral Image: Mihoko Shimano, Hiroki Okawa, Yuta Asano, Ryoma Bise, Ko Nishino, Imari Sato
FC4: Fully Convolutional Color Constancy With Confidence-Weighted Pooling: Yuanming Hu, Baoyuan Wang, Stephen Lin

Poster 1-1

3D Computer Vision

Face Normals â€œIn-The-Wildâ€ Using Fully Convolutional Networks: George Trigeorgis, Patrick Snape, Iasonas Kokkinos, Stefanos Zafeiriou
A Non-Convex Variational Approach to Photometric Stereo Under Inaccurate Lighting: Yvain Quéau, Tao Wu, FranÃ§ois Lauze, Jean-Denis Durou, Daniel Cremers
A Linear Extrinsic Calibration of Kaleidoscopic Imaging System From Single 3D Point: Kosuke Takahashi, Akihiro Miyata, Shohei Nobuhara, Takashi Matsuyama
Polarimetric Multi-View Stereo: Zhaopeng Cui, Jinwei Gu, Boxin Shi, Ping Tan, Jan Kautz
An Exact Penalty Method for Locally Convergent Maximum Consensus ( PDF, code): Huu Le, Tat-Jun Chin, David Suter
Deep Supervision With Shape Concepts for Occlusion-Aware 3D Object Parsing: Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager, Manmohan Chandraker
Amodal Detection of 3D Objects: Inferring 3D Bounding Boxes From 2D Ones in RGB-Depth Images: Zhuo Deng, Longin Jan Latecki

Analyzing Humans in Images

Transition Forests: Learning Discriminative Temporal Transitions for Action Recognition and Detection: Guillermo Garcia-Hernando, Tae-Kyun Kim
Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition With Convolutional Neural Networks: Pichao Wang, Wanqing Li, Zhimin Gao, Yuyao Zhang, Chang Tang, Philip Ogunbona
Detecting Masked Faces in the Wild With LLE-CNNs: Shiming Ge, Jia Li, Qiting Ye, Zhao Luo
A Domain Based Approach to Social Relation Recognition: Qianru Sun, Bernt Schiele, Mario Fritz
Spatio-Temporal Naive-Bayes Nearest-Neighbor (ST-NBNN) for Skeleton-Based Action Recognition: Junwu Weng, Chaoqun Weng, Junsong Yuan
Personalizing Gesture Recognition Using Hierarchical Bayesian Neural Networks: Ajjen Joshi, Soumya Ghosh, Margrit Betke, Stan Sclaroff, Hanspeter Pfister

Applications

Real-Time 3D Model Tracking in Color and Depth on a Single CPU Core: Wadim Kehl, Federico Tombari, Slobodan Ilic, Nassir Navab
Multi-Scale FCN With Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild: Dafang He, Xiao Yang, Chen Liang, Zihan Zhou, Alexander G. Ororbi II, Daniel Kifer, C. Lee Giles
Viraliency: Pooling Local Virality: Xavier Alameda-Pineda, Andrea Pilzer, Dan Xu, Nicu Sebe, Elisa Ricci

Biomedical Image/Video Analysis

A Non-Local Low-Rank Framework for Ultrasound Speckle Reduction: Lei Zhu, Chi-Wing Fu, Michael S. Brown, Pheng-Ann Heng

Image Motion & Tracking

Video Acceleration Magnification: Silvia L. Pintea, Yichao Zhang, Jan C. van Gemert
Superpixel-Based Tracking-By-Segmentation Using Markov Chains: Donghun Yeo, Jeany Son, Bohyung Han, Joon Hee Han
BranchOut: Regularization for Online Ensemble Tracking With Convolutional Neural Networks: Bohyung Han, Jack Sim, Hartwig Adam
Learning Motion Patterns in Videos: Pavel Tokmakov, Karteek Alahari, Cordelia Schmid

Low- & Mid-Level Vision

Deep Level Sets for Salient Object Detection: Ping Hu, Bing Shuai, Jun Liu, Gang Wang
Binary Constraint Preserving Graph Matching: Bo Jiang, Jin Tang, Chris Ding, Bin Luo
From Local to Global: Edge Profiles to Camera Motion in Blurred Images: Subeesh Vasu, A. N. Rajagopalan
What Is the Space of Attenuation Coefficients in Underwater Computer Vision?: Derya Akkaynak, Tali Treibitz, Tom Shlesinger, Yossi Loya, Raz Tamir, David Iluz
Robust Energy Minimization for BRDF-Invariant Shape From Light Fields: Zhengqin Li, Zexiang Xu, Ravi Ramamoorthi, Manmohan Chandraker
Boundary-Aware Instance Segmentation: Zeeshan Hayder, Xuming He, Mathieu Salzmann
Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes: S. Alireza Golestaneh, Lina J. Karam
Model-Based Iterative Restoration for Binary Document Image Compression With Dictionary Learning: Yandong Guo, Cheng Lu, Jan P. Allebach, Charles A. Bouman
FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence: Seungryong Kim, Dongbo Min, Bumsub Ham, Sangryul Jeon, Stephen Lin, Kwanghoon Sohn

Machine Learning

Learning by Association â€” A Versatile Semi-Supervised Training Method for Neural Networks: Philip Haeusser, Alexander Mordvintsev, Daniel Cremers
Dilated Residual Networks: Fisher Yu, Vladlen Koltun, Thomas Funkhouser
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction: Richard Zhang, Phillip Isola, Alexei A. Efros
Nonnegative Matrix Underapproximation for Robust Multiple Model Fitting: Mariano Tepper, Guillermo Sapiro
Truncated Max-Of-Convex Models: Pankaj Pansari, M. Pawan Kumar
Additive Component Analysis: Calvin Murdock, Fernando De la Torre
Subspace Clustering via Variance Regularized Ridge Regression: Zhao Kang, Chong Peng, Qiang Cheng
The Incremental Multiresolution Matrix Factorization Algorithm: Vamsi K. Ithapu, Risi Kondor, Sterling C. Johnson, Vikas Singh
Transformation-Grounded Image Generation Network for Novel 3D View Synthesis: Eunbyung Park, Jimei Yang, Ersin Yumer, Duygu Ceylan, Alexander C. Berg
Learning Dynamic Guidance for Depth Image Enhancement ( PDF): Shuhang Gu, Wangmeng Zuo, Shi Guo, Yunjin Chen, Chongyu Chen, Lei Zhang
A-Lamp: Adaptive Layout-Aware Multi-Patch Deep Convolutional Neural Network for Photo Aesthetic Assessment ( PDF): Shuang Ma, Jing Liu, Chang Wen Chen
Teaching Compositionality to CNNs: Austin Stone, Huayan Wang, Michael Stark, Yi Liu, D. Scott Phoenix, Dileep George
Using Ranking-CNN for Age Estimation: Shixing Chen, Caojin Zhang, Ming Dong, Jialiang Le, Mike Rao
Accurate Single Stage Detector Using Recurrent Rolling Convolution: Jimmy Ren, Xiaohao Chen, Jianbo Liu, Wenxiu Sun, Jiahao Pang, Qiong Yan, Yu-Wing Tai, Li Xu
A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation: Chunpeng Wu, Wei Wen, Tariq Afzal, Yongmei Zhang, Yiran Chen, Hai (Helen) Li
The Impact of Typicality for Informative Representative Selection: Jawadul H. Bappy, Sujoy Paul, Ertem Tuncel, Amit K. Roy-Chowdhury
Infinite Variational Autoencoder for Semi-Supervised Learning: M. Ehsan Abbasnejad, Anthony Dick, Anton van den Hengel
SurfNet: Generating 3D Shape Surfaces Using Deep Residual Networks: Ayan Sinha, Asim Unmesh, Qixing Huang, Karthik Ramani
Intrinsic Grassmann Averages for Online Linear and Robust Subspace Learning: Rudrasis Chakraborty, SÃ¸ren Hauberg, Baba C. Vemuri
Variational Bayesian Multiple Instance Learning With Gaussian Processes: Manuel HauÃŸmann, Fred A. Hamprecht, Melih Kandemir
Temporal Attention-Gated Model for Robust Sequence Classification: Wenjie Pei, Tadas BaltruÅ¡aitis, David M.J. Tax, Louis-Philippe Morency
Non-Uniform Subset Selection for Active Learning in Structured Data: Sujoy Paul, Jawadul H. Bappy, Amit K. Roy-Chowdhury
Colorization as a Proxy Task for Visual Understanding: Gustav Larsson, Michael Maire, Gregory Shakhnarovich
Shading Annotations in the Wild: Balazs Kovacs, Sean Bell, Noah Snavely, Kavita Bala
LCNN: Lookup-Based Convolutional Neural Network: Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi

Object Recognition & Scene Understanding

Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation: Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang
Pixelwise Instance Segmentation With a Dynamically Instantiated Network: Anurag Arnab, Philip H. S. Torr
Object Detection in Videos With Tubelet Proposal Networks: Kai Kang, Hongsheng Li, Tong Xiao, Wanli Ouyang, Junjie Yan, Xihui Liu, Xiaogang Wang
AMVH: Asymmetric Multi-Valued Hashing: Cheng Da, Shibiao Xu, Kun Ding, Gaofeng Meng, Shiming Xiang, Chunhong Pan
Spindle Net: Person Re-Identification With Human Body Region Guided Feature Decomposition and Fusion: Haiyu Zhao, Maoqing Tian, Shuyang Sun, Jing Shao, Junjie Yan, Shuai Yi, Xiaogang Wang, Xiaoou Tang
Deep Visual-Semantic Quantization for Efficient Image Retrieval: Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
Efficient Diffusion on Region Manifolds: Recovering Small Objects With Compact CNN Representations: Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Teddy Furon, OndÅ™ej Chum
Feature Pyramid Networks for Object Detection: Tsung-Yi Lin, Piotr DollÃ¡r, Ross Girshick, Kaiming He, Bharath Hariharan, Serge Belongie
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation: Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, Wangmeng Zuo
StyleNet: Generating Attractive Visual Captions With Styles: Chuang Gan, Zhe Gan, Xiaodong He, Jianfeng Gao, Li Deng
Fine-Grained Recognition of Thousands of Object Categories With Single-Example Training: Leonid Karlinsky, Joseph Shtok, Yochay Tzur, Asaf Tzadok
Improving Interpretability of Deep Neural Networks With Semantic Information: Yinpeng Dong, Hang Su, Jun Zhu, Bo Zhang
Video Captioning With Transferred Semantic Attributes: Yingwei Pan, Ting Yao, Houqiang Li, Tao Mei
Fast Boosting Based Detection Using Scale Invariant Multimodal Multiresolution Filtered Features: Arthur Daniel Costea, Robert Varga, Sergiu Nedevschi

Video Analytics

Temporal Convolutional Networks for Action Segmentation and Detection: Colin Lea, Michael D. Flynn, René Vidal, Austin Reiter, Gregory D. Hager
Surveillance Video Parsing With Single Frame Supervision: Si Liu, Changhu Wang, Ruihe Qian, Han Yu, Renda Bao, Yao Sun
Weakly Supervised Actor-Action Segmentation via Robust Multi-Task Ranking: Yan Yan, Chenliang Xu, Dawen Cai, Jason J. Corso
Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos: De-An Huang, Joseph J. Lim, Li Fei-Fei, Juan Carlos Niebles
Zero-Shot Action Recognition With Error-Correcting Output Codes: Jie Qin, Li Liu, Ling Shao, Fumin Shen, Bingbing Ni, Jiaxin Chen, Yunhong Wang
Enhancing Video Summarization via Vision-Language Embedding: Bryan A. Plummer, Matthew Brown, Svetlana Lazebnik
Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet: Jianwen Xie, Song-Chun Zhu, Ying Nian Wu

Object Recognition & Scene Understanding - Computer Vision & Language

Discriminative Bimodal Networks for Visual Localization and Detection With Natural Language Queries: Yuting Zhang, Luyao Yuan, Yijie Guo, Zhiyuan He, I-An Huang, Honglak Lee
Automatic Understanding of Image and Video Advertisements: Zaeem Hussain, Mingda Zhang, Xiaozhong Zhang, Keren Ye, Christopher Thomas, Zuha Agha, Nathan Ong, Adriana Kovashka
Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval: Li Liu, Fumin Shen, Yuming Shen, Xianglong Liu, Ling Shao
Discover and Learn New Objects From Documentaries: Kai Chen, Hang Song, Chen Change Loy, Dahua Lin
Spatial-Semantic Image Search by Visual Feature Synthesis: Long Mai, Hailin Jin, Zhe Lin, Chen Fang, Jonathan Brandt, Feng Liu
Fully-Adaptive Feature Sharing in Multi-Task Networks With Applications in Person Attribute Classification: Yongxi Lu, Abhishek Kumar, Shuangfei Zhai, Yu Cheng, Tara Javidi, Rogerio Feris
Semantic Compositional Networks for Visual Captioning: Zhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin, Li Deng
Training Object Class Detectors With Click Supervision: Dim P. Papadopoulos, Jasper R. R. Uijlings, Frank Keller, Vittorio Ferrari

Oral 1-2A

Deep Reinforcement Learning-Based Image Captioning With Embedding Reward: Zhou Ren, Xiaoyu Wang, Ning Zhang, Xutao Lv, Li-Jia Li
From Red Wine to Red Tomato: Composition With Context: Ishan Misra, Abhinav Gupta, Martial Hebert
Captioning Images With Diverse Objects: Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond Mooney, Trevor Darrell, Kate Saenko
Self-Critical Sequence Training for Image Captioning: Steven J. Rennie, Etienne Marcheret, Youssef Mroueh, Jerret Ross, Vaibhava Goel

Analyzing Humans 1

Spotlight 1-2B

Crossing Nets: Combining GANs and VAEs With a Shared Latent Space for Hand Pose Estimation: Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao
Predicting Behaviors of Basketball Players From First Person Videos: Shan Su, Jung Pyo Hong, Jianbo Shi, Hyun Soo Park
LCR-Net: Localization-Classification-Regression for Human Pose: Grégory Rogez, Philippe Weinzaepfel, Cordelia Schmid
Learning Residual Images for Face Attribute Manipulation: Wei Shen, Rujie Liu
Seeing What Is Not There: Learning Context to Determine Where Objects Are Missing: Jin Sun, David W. Jacobs
Deep Learning on Lie Groups for Skeleton-Based Action Recognition: Zhiwu Huang, Chengde Wan, Thomas Probst, Luc Van Gool
Harvesting Multiple Views for Marker-Less 3D Human Pose Annotations: Georgios Pavlakos, Xiaowei Zhou, Konstantinos G. Derpanis, Kostas Daniilidis
Coarse-To-Fine Volumetric Prediction for Single-Image 3D Human Pose: Georgios Pavlakos, Xiaowei Zhou, Konstantinos G. Derpanis, Kostas Daniilidis

Oral 1-2B

Weakly Supervised Action Learning With RNN Based Fine-To-Coarse Modeling: Alexander Richard, Hilde Kuehne, Juergen Gall
Disentangled Representation Learning GAN for Pose-Invariant Face Recognition: Luan Tran, Xi Yin, Xiaoming Liu
ArtTrack: Articulated Multi-Person Tracking in the Wild: Eldar Insafutdinov, Mykhaylo Andriluka, Leonid Pishchulin, Siyu Tang, Evgeny Levinkov, Bjoern Andres, Bernt Schiele
Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields ( PDF, code): Zhe Cao, Tomas Simon, Shih-En Wei, Yaser Sheikh

Image Motion & Tracking; Video Analysis

Spotlight 1-2C

Template Matching With Deformable Diversity Similarity: Itamar Talmi, Roey Mechrez, Lihi Zelnik-Manor
Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-Identification: Weihua Chen, Xiaotang Chen, Jianguo Zhang, Kaiqi Huang
Agent-Centric Risk Assessment: Accident Anticipation and Risky Region Localization: Kuo-Hao Zeng, Shih-Han Chou, Fu-Hsiang Chan, Juan Carlos Niebles, Min Sun
Bidirectional Multirate Reconstruction for Temporal Modeling in Videos: Linchao Zhu, Zhongwen Xu, Yi Yang
Action-Decision Networks for Visual Tracking With Deep Reinforcement Learning: Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, Jin Young Choi
TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering: Yunseok Jang, Yale Song, Youngjae Yu, Youngjin Kim, Gunhee Kim
Making 360° Video Watchable in 2D: Learning Videography for Click Free Viewing: Yu-Chuan Su, Kristen Grauman
Unsupervised Adaptive Re-Identification in Open World Dynamic Camera Networks: Rameswar Panda, Amran Bhuiyan, Vittorio Murino, Amit K. Roy-Chowdhury

Oral 1-2C

Context-Aware Correlation Filter Tracking: Matthias Mueller, Neil Smith, Bernard Ghanem
Deep 360 Pilot: Learning a Deep Agent for Piloting Through 360° Sports Videos: Hou-Ning Hu, Yen-Chen Lin, Ming-Yu Liu, Hsien-Tzu Cheng, Yung-Ju Chang, Min Sun
Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data: Joel Janai, Fatma Güney, Jonas Wulff, Michael J. Black, Andreas Geiger
CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed Videos: Zheng Shou, Jonathan Chan, Alireza Zareian, Kazuyuki Miyazawa, Shih-Fu Chang

Poster 1-2

3D Computer Vision

Exploiting 2D Floorplan for Building-Scale Panorama RGBD Alignment: Erik Wijmans, Yasutaka Furukawa
A Combinatorial Solution to Non-Rigid 3D Shape-To-Image Matching: Florian Bernard, Frank R. Schmidt, Johan Thunberg, Daniel Cremers
NID-SLAM: Robust Monocular SLAM Using Normalised Information Distance: Geoffrey Pascoe, Will Maddern, Michael Tanner, Pedro Piniés, Paul Newman
End-To-End Training of Hybrid CNN-CRF Models for Stereo: Patrick KnÃ¶belreiter, Christian Reinbacher, Alexander Shekhovtsov, Thomas Pock
Learning Shape Abstractions by Assembling Volumetric Primitives ( PDF, project, code): Shubham Tulsiani, Hao Su, Leonidas J. Guibas, Alexei A. Efros, Jitendra Malik
Locality-Sensitive Deconvolution Networks With Gated Fusion for RGB-D Indoor Semantic Segmentation: Yanhua Cheng, Rui Cai, Zhiwei Li, Xin Zhao, Kaiqi Huang
Acquiring Axially-Symmetric Transparent Objects Using Single-View Transmission Imaging ( PDF): Jaewon Kim, Ilya Reshetouski, Abhijeet Ghosh
Regressing Robust and Discriminative 3D Morphable Models With a Very Deep Neural Network: Anh Tuáº¥n Tráº§n, Tal Hassner, Iacopo Masi, Gérard Medioni
End-To-End 3D Face Reconstruction With Deep Neural Networks: Pengfei Dou, Shishir K. Shah, Ioannis A. Kakadiaris
DUST: Dual Union of Spatio-Temporal Subspaces for Monocular Multiple Object 3D Reconstruction: Antonio Agudo, Francesc Moreno-Noguer

Analyzing Humans in Images

Finding Tiny Faces: Peiyun Hu, Deva Ramanan
Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network: Jinwei Gu, Xiaodong Yang, Shalini De Mello, Jan Kautz
Deep Temporal Linear Encoding Networks: Ali Diba, Vivek Sharma, Luc Van Gool
Joint Registration and Representation Learning for Unconstrained Face Identification ( PDF): Munawar Hayat, Salman H. Khan, Naoufel Werghi, Roland Goecke
3D Human Pose Estimation From a Single Image via Distance Matrix Regression: Francesc Moreno-Noguer
One-Shot Metric Learning for Person Re-Identification: Slawomir BÄ…k, Peter Carr
Generalized Rank Pooling for Activity Recognition: Anoop Cherian, Basura Fernando, Mehrtash Harandi, Stephen Gould
Deep Representation Learning for Human Motion Prediction and Classification: Judith BÃ¼tepage, Michael J. Black, Danica Kragic, Hedvig KjellstrÃ¶m
Interspecies Knowledge Transfer for Facial Keypoint Detection: Maheen Rashid, Xiuye Gu, Yong Jae Lee
Recurrent Convolutional Neural Networks for Continuous Sign Language Recognition by Staged Optimization: Runpeng Cui, Hu Liu, Changshui Zhang

Applications

Modeling Sub-Event Dynamics in First-Person Action Recognition: Hasan F. M. Zaki, Faisal Shafait, Ajmal Mian

Computational Photography

Turning an Urban Scene Video Into a Cinemagraph: Hang Yan, Yebin Liu, Yasutaka Furukawa
Light Field Reconstruction Using Deep Convolutional Network on EPI: Gaochang Wu, Mandan Zhao, Liangyong Wang, Qionghai Dai, Tianyou Chai, Yebin Liu

Image Motion & Tracking

FlowNet 2.0: Evolution of Optical Flow Estimation With Deep Networks: Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox

Low- & Mid-Level Vision

Attention-Aware Face Hallucination via Deep Reinforcement Learning: Qingxing Cao, Liang Lin, Yukai Shi, Xiaodan Liang, Guanbin Li
Simple Does It: Weakly Supervised Instance and Semantic Segmentation: Anna Khoreva, Rodrigo Benenson, Jan Hosang, Matthias Hein, Bernt Schiele
Anti-Glare: Tightly Constrained Optimization for Eyeglass Reflection Removal: Tushar Sandhan, Jin Young Choi
Deep Joint Rain Detection and Removal From a Single Image: Wenhan Yang, Robby T. Tan, Jiashi Feng, Jiaying Liu, Zongming Guo, Shuicheng Yan
Radiometric Calibration From Faces in Images: Chen Li, Stephen Lin, Kun Zhou, Katsushi Ikeuchi
Webly Supervised Semantic Segmentation: Bin Jin, Maria V. Ortiz Segovia, Sabine SÃ¼sstrunk
Removing Rain From Single Images via a Deep Detail Network: Xueyang Fu, Jiabin Huang, Delu Zeng, Yue Huang, Xinghao Ding, John Paisley
Deep Crisp Boundaries: Yupei Wang, Xin Zhao, Kaiqi Huang
Coarse-To-Fine Segmentation With Shape-Tailored Continuum Scale Spaces: Naeemullah Khan, Byung-Woo Hong, Anthony Yezzi, Ganesh Sundaramoorthi
Large Kernel Matters â€” Improve Semantic Segmentation by Global Convolutional Network: Chao Peng, Xiangyu Zhang, Gang Yu, Guiming Luo, Jian Sun
Single Image Reflection Suppression: Nikolaos Arvanitopoulos, Radhakrishna Achanta, Sabine SÃ¼sstrunk
CASENet: Deep Category-Aware Semantic Edge Detection: Zhiding Yu, Chen Feng, Ming-Yu Liu, Srikumar Ramalingam
Reflectance Adaptive Filtering Improves Intrinsic Image Estimation: Thomas Nestmeyer, Peter V. Gehler

Machine Learning

Conditional Similarity Networks: Andreas Veit, Serge Belongie, Theofanis Karaletsos
Spatially Adaptive Computation Time for Residual Networks: Michael Figurnov, Maxwell D. Collins, Yukun Zhu, Li Zhang, Jonathan Huang, Dmitry Vetrov, Ruslan Salakhutdinov
Xception: Deep Learning With Depthwise Separable Convolutions: FranÃ§ois Chollet
Feedback Networks: Amir R. Zamir, Te-Lin Wu, Lin Sun, William B. Shen, Bertram E. Shi, Jitendra Malik, Silvio Savarese
Online Summarization via Submodular and Convex Optimization: Ehsan Elhamifar, M. Clara De Paolis Kaluza
Deep MANTA: A Coarse-To-Fine Many-Task Network for Joint 2D and 3D Vehicle Analysis From Monocular Image: Florian Chabot, Mohamed Chaouch, Jaonary Rabarisoa, Céline Teulière, Thierry Chateau
Improving Pairwise Ranking for Multi-Label Image Classification: Yuncheng Li, Yale Song, Jiebo Luo
Active Convolution: Learning the Shape of Convolution for Image Classification: Yunho Jeon, Junmo Kim
Linking Image and Text With 2-Way Nets: Aviv Eisenschtat, Lior Wolf
Stacked Generative Adversarial Networks: Xun Huang, Yixuan Li, Omid Poursaeed, John Hopcroft, Serge Belongie
Image Splicing Detection via Camera Response Function Analysis: Can Chen, Scott McCloskey, Jingyi Yu
Building a Regular Decision Boundary With Deep Networks: Edouard Oyallon
More Is Less: A More Complicated Network With Less Inference Complexity: Xuanyi Dong, Junshi Huang, Yi Yang, Shuicheng Yan
Joint Graph Decomposition and Node Labeling: Problem, Algorithms, Applications: Evgeny Levinkov, Jonas Uhrig, Siyu Tang, Mohamed Omran, Eldar Insafutdinov, Alexander Kirillov, Carsten Rother, Thomas Brox, Bernt Schiele, Bjoern Andres
Scale-Aware Face Detection: Zekun Hao, Yu Liu, Hongwei Qin, Junjie Yan, Xiu Li, Xiaolin Hu
Deep Unsupervised Similarity Learning Using Partially Ordered Sets: Miguel A. Bautista, Artsiom Sanakoyeu, BjÃ¶rn Ommer
Generative Hierarchical Learning of Sparse FRAME Models: Jianwen Xie, Yifei Xu, Erik Nijkamp, Ying Nian Wu, Song-Chun Zhu

Object Recognition & Scene Understanding

Generating Holistic 3D Scene Abstractions for Text-Based Image Retrieval: Ang Li, Jin Sun, Joe Yue-Hei Ng, Ruichi Yu, Vlad I. Morariu, Larry S. Davis
Perceptual Generative Adversarial Networks for Small Object Detection: Jianan Li, Xiaodan Liang, Yunchao Wei, Tingfa Xu, Jiashi Feng, Shuicheng Yan
Emotion Recognition in Context ( PDF, supplementary material): Ronak Kosti, Jose M. Alvarez, Adria Recasens, Agata Lapedriza
Deep Learning of Human Visual Sensitivity in Image Quality Assessment Framework: Jongyoo Kim, Sanghoon Lee
Dense Captioning With Joint Inference and Visual Context: Linjie Yang, Kevin Tang, Jianchao Yang, Li-Jia Li
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning: Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, Ross Girshick
Cross-View Image Matching for Geo-Localization in Urban Environments: Yicong Tian, Chen Chen, Mubarak Shah
Matrix Tri-Factorization With Manifold Regularizations for Zero-Shot Learning: Xing Xu, Fumin Shen, Yang Yang, Dongxiang Zhang, Heng Tao Shen, Jingkuan Song
Self-Supervised Learning of Visual Features Through Embedding Images Into Text Topic Spaces: Lluis Gomez, Yash Patel, MarÃ§al Rusiñol, Dimosthenis Karatzas, C. V. Jawahar
Learning Spatial Regularization With Image-Level Supervisions for Multi-Label Image Classification: Feng Zhu, Hongsheng Li, Wanli Ouyang, Nenghai Yu, Xiaogang Wang
Semantically Consistent Regularization for Zero-Shot Recognition: Pedro Morgado, Nuno Vasconcelos
Can Walking and Measuring Along Chord Bunches Better Describe Leaf Shapes?: Bin Wang, Yongsheng Gao, Changming Sun, Michael Blumenstein, John La Salle

Video Analytics

Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model: Qixiang Ye, Tianliang Zhang, Wei Ke, Qiang Qiu, Jie Chen, Guillermo Sapiro, Baochang Zhang
Predictive-Corrective Networks for Action Detection ( project, abstract, PDF): Achal Dave, Olga Russakovsky, Deva Ramanan
Budget-Aware Deep Semantic Video Segmentation: Behrooz Mahasseni, Sinisa Todorovic, Alan Fern
Unified Embedding and Metric Learning for Zero-Exemplar Event Detection: Noureldien Hussein, Efstratios Gavves, Arnold W.M. Smeulders
Spatiotemporal Pyramid Network for Video Action Recognition: Yunbo Wang, Mingsheng Long, Jianmin Wang, Philip S. Yu
ER3: A Unified Framework for Event Retrieval, Recognition and Recounting: Zhanning Gao, Gang Hua, Dongqing Zhang, Nebojsa Jojic, Le Wang, Jianru Xue, Nanning Zheng
FusionSeg: Learning to Combine Motion and Appearance for Fully Automatic Segmentation of Generic Objects in Videos: Suyog Dutt Jain, Bo Xiong, Kristen Grauman
Query-Focused Video Summarization: Dataset, Evaluation, and a Memory Network Based Approach: Aidean Sharghi, Jacob S. Laurel, Boqing Gong
Flexible Spatio-Temporal Networks for Video Prediction: Chaochao Lu, Michael Hirsch, Bernhard SchÃ¶lkopf
Temporal Action Co-Segmentation in 3D Motion Capture Data and Videos: Konstantinos Papoutsakis, Costas Panagiotakis, Antonis A. Argyros

Machine Learning 2

Spotlight 2-1A

Dual Attention Networks for Multimodal Reasoning and Matching: Hyeonseob Nam, Jung-Woo Ha, Jeonghee Kim
DESIRE: Distant Future Prediction in Dynamic Scenes With Interacting Agents: Namhoon Lee, Wongun Choi, Paul Vernaza, Christopher B. Choy, Philip H. S. Torr, Manmohan Chandraker
Interpretable Structure-Evolving LSTM: Xiaodan Liang, Liang Lin, Xiaohui Shen, Jiashi Feng, Shuicheng Yan, Eric P. Xing
ShapeOdds: Variational Bayesian Learning of Generative Shape Models: Shireen Elhabian, Ross Whitaker
Fast Video Classification via Adaptive Cascading of Deep Models: Haichen Shen, Seungyeop Han, Matthai Philipose, Arvind Krishnamurthy
Deep Metric Learning via Facility Location: Hyun Oh Song, Stefanie Jegelka, Vivek Rathod, Kevin Murphy
Semi-Supervised Deep Learning for Monocular Depth Map Prediction: Yevhen Kuznietsov, JÃ¶rg StÃ¼ckler, Bastian Leibe
Weakly Supervised Semantic Segmentation Using Web-Crawled Videos: Seunghoon Hong, Donghun Yeo, Suha Kwak, Honglak Lee, Bohyung Han

Oral 2-1A

Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach: Giorgio Patrini, Alessandro Rozza, Aditya Krishna Menon, Richard Nock, Lizhen Qu
Learning From Simulated and Unsupervised Images Through Adversarial Training: Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Joshua Susskind, Wenda Wang, Russell Webb
Inverse Compositional Spatial Transformer Networks: Chen-Hsuan Lin, Simon Lucey
Densely Connected Convolutional Networks: Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger

Computational Photography

Spotlight 2-1B

Visual Dialog: Abhishek Das, Satwik Kottur, Khushi Gupta, Avi Singh, Deshraj Yadav, José M. F. Moura, Devi Parikh, Dhruv Batra
Video Frame Interpolation via Adaptive Convolution: Simon Niklaus, Long Mai, Feng Liu
FastMask: Segment Multi-Scale Object Candidates in One Shot: Hexiang Hu, Shiyi Lan, Yuning Jiang, Zhimin Cao, Fei Sha
Reconstructing Transient Images From Single-Photon Sensors: Matthew O'Toole, Felix Heide, David B. Lindell, Kai Zang, Steven Diamond, Gordon Wetzstein
DeshadowNet: A Multi-Context Embedding Deep Network for Shadow Removal: Liangqiong Qu, Jiandong Tian, Shengfeng He, Yandong Tang, Rynson W. H. Lau
Illuminant-Camera Communication to Observe Moving Objects Under Strong External Light by Spread Spectrum Modulation: Ryusuke Sagawa, Yutaka Satoh
Photorealistic Facial Texture Inference Using Deep Neural Networks: Shunsuke Saito, Lingyu Wei, Liwen Hu, Koki Nagano, Hao Li
The Geometry of First-Returning Photons for Non-Line-Of-Sight Imaging: Chia-Yin Tsai, Kiriakos N. Kutulakos, Srinivasa G. Narasimhan, Aswin C. Sankaranarayanan

Oral 2-1B

Unrolling the Shutter: CNN to Correct Motion Distortions: Vijay Rengarajan, Yogesh Balaji, A. N. Rajagopalan
Light Field Blind Motion Deblurring: Pratul P. Srinivasan, Ren Ng, Ravi Ramamoorthi
Computational Imaging on the Electric Grid: Mark Sheinin, Yoav Y. Schechner, Kiriakos N. Kutulakos
Deep Outdoor Illumination Estimation: Yannick Hold-Geoffroy, Kalyan Sunkavalli, Sunil Hadap, Emiliano Gambaretto, Jean-FranÃ§ois Lalonde

3D Vision 2

Spotlight 2-1C

Efficient Solvers for Minimal Problems by Syzygy-Based Reduction: Viktor Larsson, Kalle Ã…strÃ¶m, Magnus Oskarsson
HSfM: Hybrid Structure-from-Motion: Hainan Cui, Xiang Gao, Shuhan Shen, Zhanyi Hu
Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures: Julian Straub, Trevor Campbell, Jonathan P. How, John W. Fisher III
A New Rank Constraint on Multi-View Fundamental Matrices, and Its Application to Camera Location Recovery: Soumyadip Sengupta, Tal Amir, Meirav Galun, Tom Goldstein, David W. Jacobs, Amit Singer, Ronen Basri
IM2CAD: Hamid Izadinia, Qi Shan, Steven M. Seitz
ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes: Angela Dai, Angel X. Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, Matthias NieÃŸner
Noise Robust Depth From Focus Using a Ring Difference Filter: Jaeheung Surh, Hae-Gon Jeon, Yunwon Park, Sunghoon Im, Hyowon Ha, In So Kweon
Group-Wise Point-Set Registration Based on Rényi's Second Order Entropy: Luis G. Sanchez Giraldo, Erion Hasanbelliu, Murali Rao, Jose C. Principe

Oral 2-1C

A Point Set Generation Network for 3D Object Reconstruction From a Single Image: Haoqiang Fan, Hao Su, Leonidas J. Guibas
3D Point Cloud Registration for Localization Using a Deep Neural Network Auto-Encoder: Gil Elbaz, Tamar Avraham, Anath Fischer
Flight Dynamics-Based Recovery of a UAV Trajectory Using Ground Cameras: Artem Rozantsev, Sudipta N. Sinha, Debadeepta Dey, Pascal Fua
DSAC - Differentiable RANSAC for Camera Localization: Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, Carsten Rother

Poster 2-1

3D Computer Vision

Scalable Surface Reconstruction From Point Clouds With Extreme Scale and Density Diversity: Christian Mostegel, Rudolf Prettenthaler, Friedrich Fraundorfer, Horst Bischof
Synthesizing 3D Shapes via Modeling Multi-View Depth Maps and Silhouettes With Deep Generative Networks: Amir Arsalan Soltani, Haibin Huang, Jiajun Wu, Tejas D. Kulkarni, Joshua B. Tenenbaum
General Models for Rational Cameras and the Case of Two-Slit Projections: Matthew Trager, Bernd Sturmfels, John Canny, Martial Hebert, Jean Ponce
Accurate Depth and Normal Maps From Occlusion-Aware Focal Stack Symmetry: Michael Strecke, Anna Alperovich, Bastian Goldluecke
A Multi-View Stereo Benchmark With High-Resolution Images and Multi-Camera Videos: Thomas SchÃ¶ps, Johannes L. SchÃ¶nberger, Silvano Galliani, Torsten Sattler, Konrad Schindler, Marc Pollefeys, Andreas Geiger
Non-Contact Full Field Vibration Measurement Based on Phase-Shifting: Hiroyuki Kayaba, Yuji Kokumai
A Minimal Solution for Two-View Focal-Length Estimation Using Two Affine Correspondences ( PDF, code): Daniel Barath, Tekla Toth, Levente Hajder
PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning: Alexander Krull, Eric Brachmann, Sebastian Nowozin, Frank Michel, Jamie Shotton, Carsten Rother
An Efficient Background Term for 3D Reconstruction and Tracking With Smooth Surface Models: Mariano Jaimez, Thomas J. Cashman, Andrew Fitzgibbon, Javier Gonzalez-Jimenez, Daniel Cremers

Analyzing Humans in Images

Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild: Shan Li, Weihong Deng, JunPing Du
Procedural Generation of Videos to Train Deep Action Recognition Networks: César Roberto de Souza, Adrien Gaidon, Yohann Cabon, Antonio Manuel LÃ³pez
BigHand2.2M Benchmark: Hand Pose Dataset and State of the Art Analysis: Shanxin Yuan, Qi Ye, BjÃ¶rn Stenger, Siddhant Jain, Tae-Kyun Kim
DenseReg: Fully Convolutional Dense Shape Regression In-The-Wild: RÄ±za Alp GÃ¼ler, George Trigeorgis, Epameinondas Antonakos, Patrick Snape, Stefanos Zafeiriou, Iasonas Kokkinos
Adaptive Class Preserving Representation for Image Classification: Jian-Xun Mi, Qiankun Fu, Weisheng Li

Applications

Generalized Semantic Preserving Hashing for N-Label Cross-Modal Retrieval: Devraj Mandal, Kunal N. Chaudhury, Soma Biswas
EAST: An Efficient and Accurate Scene Text Detector: Xinyu Zhou, Cong Yao, He Wen, Yuzhi Wang, Shuchang Zhou, Weiran He, Jiajun Liang
VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization: Ronald Clark, Sen Wang, Andrew Markham, Niki Trigoni, Hongkai Wen

Biomedical Image/Video Analysis

Improving RANSAC-Based Segmentation Through CNN Encapsulation: Dustin Morley, Hassan Foroosh

Computational Photography

Position Tracking for Virtual Reality Using Commodity WiFi: Manikanta Kotaru, Sachin Katti
Designing Illuminant Spectral Power Distributions for Surface Classification: Henryk Blasinski, Joyce Farrell, Brian Wandell
One-Shot Hyperspectral Imaging Using Faced Reflectors: Tsuyoshi Takatani, Takahito Aoto, Yasuhiro Mukaigawa

Image Motion & Tracking

Direct Photometric Alignment by Mesh Deformation: Kaimo Lin, Nianjuan Jiang, Shuaicheng Liu, Loong-Fah Cheong, Minh Do, Jiangbo Lu
CNN-Based Patch Matching for Optical Flow With Thresholded Hinge Embedding Loss: Christian Bailer, Kiran Varanasi, Didier Stricker
Optical Flow Estimation Using a Spatial Pyramid Network: Anurag Ranjan, Michael J. Black
Deep Network Flow for Multi-Object Tracking: Manmohan Chandraker, Paul Vernaza, Wongun Choi, Samuel Schulter

Low- & Mid-Level Vision

Material Classification Using Frequency- and Depth-Dependent Time-Of-Flight Distortion: Kenichiro Tanaka, Yasuhiro Mukaigawa, Takuya Funatomi, Hiroyuki Kubo, Yasuyuki Matsushita, Yasushi Yagi
Benchmarking Denoising Algorithms With Real Photographs: Tobias PlÃ¶tz, Stefan Roth
A Unified Approach of Multi-Scale Deep and Hand-Crafted Features for Defocus Estimation ( PDF, project): Jinsun Park, Yu-Wing Tai, Donghyeon Cho, In So Kweon
StyleBank: An Explicit Representation for Neural Image Style Transfer: Dongdong Chen, Lu Yuan, Jing Liao, Nenghai Yu, Gang Hua
Specular Highlight Removal in Facial Images: Chen Li, Stephen Lin, Kun Zhou, Katsushi Ikeuchi
Image Super-Resolution via Deep Recursive Residual Network: Ying Tai, Jian Yang, Xiaoming Liu
Deep Image Harmonization: Yi-Hsuan Tsai, Xiaohui Shen, Zhe Lin, Kalyan Sunkavalli, Xin Lu, Ming-Hsuan Yang
Learning Deep CNN Denoiser Prior for Image Restoration ( PDF, code): Kai Zhang, Wangmeng Zuo, Shuhang Gu, Lei Zhang
A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors: Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Yao Wang
GMS: Grid-based Motion Statistics for Fast, Ultra-Robust Feature Correspondence: JiaWang Bian, Wen-Yan Lin, Yasuyuki Matsushita, Sai-Kit Yeung, Tan-Dat Nguyen, Ming-Ming Cheng
Video Desnowing and Deraining Based on Matrix Decomposition: Weihong Ren, Jiandong Tian, Zhi Han, Antoni Chan, Yandong Tang
Real-Time Video Super-Resolution With Spatio-Temporal Networks and Motion Compensation: Jose Caballero, Christian Ledig, Andrew Aitken, Alejandro Acosta, Johannes Totz, Zehan Wang, Wenzhe Shi
Deep Watershed Transform for Instance Segmentation: Min Bai, Raquel Urtasun
AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching: David Novotny, Diane Larlus, Andrea Vedaldi
Learning Diverse Image Colorization: Aditya Deshpande, Jiajun Lu, Mao-Chuang Yeh, Min Jin Chong, David Forsyth
Awesome Typography: Statistics-Based Text Effects Transfer: Shuai Yang, Jiaying Liu, Zhouhui Lian, Zongming Guo

Machine Learning

Unsupervised Video Summarization With Adversarial LSTM Networks: Behrooz Mahasseni, Michael Lam, Sinisa Todorovic
Deep TEN: Texture Encoding Network: Hang Zhang, Jia Xue, Kristin Dana
Order-Preserving Wasserstein Distance for Sequence Matching: Bing Su, Gang Hua
A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems: Paul Swoboda, Jan Kuske, Bogdan Savchynskyy
Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning From Web Data: Bohan Zhuang, Lingqiao Liu, Yao Li, Chunhua Shen, Ian Reid
Hierarchical Multimodal Metric Learning for Multimodal Classification: Heng Zhang, Vishal M. Patel, Rama Chellappa
Efficient Linear Programming for Dense CRFs: Thalaiyasingam Ajanthan, Alban Desmaison, Rudy Bunel, Mathieu Salzmann, Philip H. S. Torr, M. Pawan Kumar
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold: YoungJoon Yoo, Sangdoo Yun, Hyung Jin Chang, Yiannis Demiris, Jin Young Choi
Learning Random-Walk Label Propagation for Weakly-Supervised Semantic Segmentation: Paul Vernaza, Manmohan Chandraker
Low-Rank-Sparse Subspace Representation for Robust Regression: Yongqiang Zhang, Daming Shi, Junbin Gao, Dansong Cheng

Object Recognition & Scene Understanding

Generating the Future With Adversarial Transformers: Carl Vondrick, Antonio Torralba
Semantic Amodal Segmentation: Yan Zhu, Yuandong Tian, Dimitris Metaxas, Piotr DollÃ¡r
Learning a Deep Embedding Model for Zero-Shot Learning: Li Zhang, Tao Xiang, Shaogang Gong
BIND: Binary Integrated Net Descriptors for Texture-Less Object Recognition: Jacob Chan, Jimmy Addison Lee, Qian Kemao
Growing a Brain: Fine-Tuning by Increasing Model Capacity: Yu-Xiong Wang, Deva Ramanan, Martial Hebert
A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection ( PDF): Xiaolong Wang, Abhinav Shrivastava, Abhinav Gupta
Multiple Instance Detection Network With Online Instance Classifier Refinement: Peng Tang, Xinggang Wang, Xiang Bai, Wenyu Liu
Kernel Pooling for Convolutional Neural Networks: Yin Cui, Feng Zhou, Jiang Wang, Xiao Liu, Yuanqing Lin, Serge Belongie
Learning Cross-Modal Embeddings for Cooking Recipes and Food Images: Amaia Salvador, Nicholas Hynes, Yusuf Aytar, Javier Marin, Ferda Ofli, Ingmar Weber, Antonio Torralba
Zero-Shot Learning - the Good, the Bad and the Ugly: Yongqin Xian, Bernt Schiele, Zeynep Akata
DeepNav: Learning to Navigate Large Cities: Samarth Brahmbhatt, James Hays
Scene Graph Generation by Iterative Message Passing: Danfei Xu, Yuke Zhu, Christopher B. Choy, Li Fei-Fei
Visual Translation Embedding Network for Visual Relation Detection: Hanwang Zhang, Zawlin Kyaw, Shih-Fu Chang, Tat-Seng Chua
Unsupervised Part Learning for Visual Recognition: Ronan Sicre, Yannis Avrithis, Ewa Kijak, Frédéric Jurie
Comprehension-Guided Referring Expressions: Ruotian Luo, Gregory Shakhnarovich
Top-Down Visual Saliency Guided by Captions: Vasili Ramanishka, Abir Das, Jianming Zhang, Kate Saenko

Theory

Grassmannian Manifold Optimization Assisted Sparse Spectral Clustering: Junbin Gao, Qiong Wang, Hong Li

Video Analytics

Video Propagation Networks: Varun Jampani, Raghudeep Gadde, Peter V. Gehler
ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification: Rohit Girdhar, Deva Ramanan, Abhinav Gupta, Josef Sivic, Bryan Russell
SCC: Semantic Context Cascade for Efficient Action Detection: Fabian Caba Heilbron, Wayner Barrios, Victor Escorcia, Bernard Ghanem
Hierarchical Boundary-Aware Neural Encoder for Video Captioning: Lorenzo Baraldi, Costantino Grana, Rita Cucchiara
HOPE: Hierarchical Object Prototype Encoding for Efficient Object Instance Search in Videos: Tan Yu, Yuwei Wu, Junsong Yuan
Spatio-Temporal Vector of Locally Max Pooled Features for Action Recognition in Videos: Ionut Cosmin Duta, Bogdan Ionescu, Kiyoharu Aizawa, Nicu Sebe
Temporal Action Localization by Structured Maximal Sums: Zehuan Yuan, Jonathan C. Stroud, Tong Lu, Jia Deng
Predicting Salient Face in Multiple-Face Videos: Yufan Liu, Songyang Zhang, Mai Xu, Xuming He

Object Recognition & Scene Understanding 1

Spotlight 2-2A

Graph-Structured Representations for Visual Question Answering: Damien Teney, Lingqiao Liu, Anton van den Hengel
Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning: Jiasen Lu, Caiming Xiong, Devi Parikh, Richard Socher
Learned Contextual Feature Reweighting for Image Geo-Localization: Hyo Jin Kim, Enrique Dunn, Jan-Michael Frahm
End-To-End Concept Word Detection for Video Captioning, Retrieval, and Question Answering: Youngjae Yu, Hyungjin Ko, Jongwook Choi, Gunhee Kim
Deep Cross-Modal Hashing: Qing-Yuan Jiang, Wu-Jun Li
Unambiguous Text Localization and Retrieval for Cluttered Scenes: Xuejian Rong, Chucai Yi, Yingli Tian
Bayesian Supervised Hashing: Zihao Hu, Junxuan Chen, Hongtao Lu, Tongzhen Zhang
Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors: Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy

Oral 2-2A

Detecting Visual Relationships With Deep Relational Networks: Bo Dai, Yuqi Zhang, Dahua Lin
Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes ( PDF, videos, code): Tobias Pohlen, Alexander Hermans, Markus Mathias, Bastian Leibe
Network Dissection: Quantifying Interpretability of Deep Visual Representations: David Bau, Bolei Zhou, Aditya Khosla, Aude Oliva, Antonio Torralba
AGA: Attribute-Guided Augmentation: Mandar Dixit, Roland Kwitt, Marc Niethammer, Nuno Vasconcelos

Analyzing Humans 2

Spotlight 2-2B

A Hierarchical Approach for Generating Descriptive Image Paragraphs: Jonathan Krause, Justin Johnson, Ranjay Krishna, Li Fei-Fei
Person Re-Identification in the Wild: Liang Zheng, Hengheng Zhang, Shaoyan Sun, Manmohan Chandraker, Yi Yang, Qi Tian
Scalable Person Re-Identification on Supervised Smoothed Manifold: Song Bai, Xiang Bai, Qi Tian
Binge Watching: Scaling Affordance Learning From Sitcoms ( PDF): Xiaolong Wang, Rohit Girdhar, Abhinav Gupta
Joint Detection and Identification Feature Learning for Person Search: Tong Xiao, Shuang Li, Bochao Wang, Liang Lin, Xiaogang Wang
Synthesizing Normalized Faces From Facial Identity Features: Forrester Cole, David Belanger, Dilip Krishnan, Aaron Sarna, Inbar Mosseri, William T. Freeman
Consistent-Aware Deep Learning for Person Re-Identification in a Camera Network: Ji Lin, Liangliang Ren, Jiwen Lu, Jianjiang Feng, Jie Zhou
Level Playing Field for Million Scale Face Recognition: Aaron Nech, Ira Kemelmacher-Shlizerman

Oral 2-2B

Re-Sign: Re-Aligned End-To-End Sequence Modelling With Deep Recurrent CNN-HMMs: Oscar Koller, Sepehr Zargaran, Hermann Ney
Social Scene Understanding: End-To-End Multi-Person Action Localization and Collective Activity Recognition: Timur Bagautdinov, Alexandre Alahi, FranÃ§ois Fleuret, Pascal Fua, Silvio Savarese
Detangling People: Individuating Multiple Close People and Their Body Parts via Region Assembly: Hao Jiang, Kristen Grauman
Lip Reading Sentences in the Wild: Joon Son Chung, Andrew Senior, Oriol Vinyals, Andrew Zisserman

Applications

Spotlight 2-2C

Deep Matching Prior Network: Toward Tighter Multi-Oriented Text Detection: Lianwen Jin, Yuliang Liu
ChestX-ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases: Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald M. Summers
Attentional Push: A Deep Convolutional Network for Augmenting Image Salience With Shared Attention Modeling in Social Scenes: Siavash Gorji, James J. Clark
Detecting Oriented Text in Natural Images by Linking Segments: Baoguang Shi, Xiang Bai, Serge Belongie
Learning Video Object Segmentation From Static Images: Federico Perazzi, Anna Khoreva, Rodrigo Benenson, Bernt Schiele, Alexander Sorkine-Hornung
Seeing Invisible Poses: Estimating 3D Body Pose From Egocentric Video: Hao Jiang, Kristen Grauman
Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space: Anh Nguyen, Jeff Clune, Yoshua Bengio, Alexey Dosovitskiy, Jason Yosinski
A Joint Speaker-Listener-Reinforcer Model for Referring Expressions: Licheng Yu, Hao Tan, Mohit Bansal, Tamara L. Berg

Oral 2-2C

End-To-End Learning of Driving Models From Large-Scale Video Datasets: Huazhe Xu, Yang Gao, Fisher Yu, Trevor Darrell
Deep Future Gaze: Gaze Anticipation on Egocentric Videos Using Adversarial Networks: Mengmi Zhang, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, Jiashi Feng
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network: Zizhao Zhang, Yuanpu Xie, Fuyong Xing, Mason McGough, Lin Yang

Poster 2-2

3D Computer Vision

Surface Motion Capture Transfer With Gaussian Process Regression: Adnane Boukhayma, Jean-Sébastien Franco, Edmond Boyer
Visual-Inertial-Semantic Scene Representation for 3D Object Detection: Jingming Dong, Xiaohan Fei, Stefano Soatto
Template-Based Monocular 3D Recovery of Elastic Shapes Using Lagrangian Multipliers: Nazim Haouchine, Stephane Cotin
Learning Category-Specific 3D Shape Models From Weakly Labeled 2D Images: Dingwen Zhang, Junwei Han, Yang Yang, Dong Huang
Simultaneous Geometric and Radiometric Calibration of a Projector-Camera Pair: Marjan Shahpaski, Luis Ricardo Sapaico, Gaspard Chevassus, Sabine SÃ¼sstrunk
Learning Barycentric Representations of 3D Shapes for Sketch-Based 3D Shape Retrieval: Jin Xie, Guoxian Dai, Fan Zhu, Yi Fang
Geodesic Distance Descriptors: Gil Shamai, Ron Kimmel

Analyzing Humans in Images

Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks: Hongsong Wang, Liang Wang
Forecasting Human Dynamics From Static Images: Yu-Wei Chao, Jimei Yang, Brian Price, Scott Cohen, Jia Deng
Re-Ranking Person Re-Identification With k-Reciprocal Encoding: Zhun Zhong, Liang Zheng, Donglin Cao, Shaozi Li
Deep Sequential Context Networks for Action Prediction: Yu Kong, Zhiqiang Tao, Yun Fu
Global Context-Aware Attention LSTM Networks for 3D Action Recognition: Jun Liu, Gang Wang, Ping Hu, Ling-Yu Duan, Alex C. Kot
Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting: Zhen-Hua Feng, Josef Kittler, William Christmas, Patrik Huber, Xiao-Jun Wu
A Deep Regression Architecture With Two-Stage Re-Initialization for High Performance Facial Landmark Detection: Jiangjing Lv, Xiaohu Shao, Junliang Xing, Cheng Cheng, Xi Zhou
Multiple People Tracking by Lifted Multicut and Person Re-Identification: Siyu Tang, Mykhaylo Andriluka, Bjoern Andres, Bernt Schiele
Towards Accurate Multi-Person Pose Estimation in the Wild: George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin Murphy

Applications

Towards a Quality Metric for Dense Light Fields: Vamsi Kiran Adhikarla, Marek Vinkler, Denis Sumin, RafaÅ‚ K. Mantiuk, Karol Myszkowski, Hans-Peter Seidel, Piotr Didyk
Controlling Perceptual Factors in Neural Style Transfer: Leon A. Gatys, Alexander S. Ecker, Matthias Bethge, Aaron Hertzmann, Eli Shechtman

Biomedical Image/Video Analysis

Joint Sequence Learning and Cross-Modality Convolution for 3D Biomedical Segmentation: Kuan-Lun Tseng, Yen-Liang Lin, Winston Hsu, Chung-Yang Huang
LSTM Self-Supervision for Detailed Behavior Analysis: Biagio Brattoli, Uta BÃ¼chler, Anna-Sophia Wahl, Martin E. Schwab, BjÃ¶rn Ommer

Computational Photography

A Wide-Field-Of-View Monocentric Light Field Camera ( PDF, project, project): Donald G. Dansereau, Glenn Schuster, Joseph Ford, Gordon Wetzstein

Image Motion & Tracking

S2F: Slow-To-Fast Interpolator Flow: Yanchao Yang, Stefano Soatto
CLKN: Cascaded Lucas-Kanade Networks for Image Alignment: Che-Han Chang, Chun-Nan Chou, Edward Y. Chang
Multi-Object Tracking With Quadruplet Convolutional Neural Networks: Mooyeol Baek, Jeany Son, Minsu Cho, Bohyung Han

Low- & Mid-Level Vision

Learning to Detect Salient Objects With Image-Level Supervision: Lijun Wang, Huchuan Lu, Yifan Wang, Mengyang Feng, Dong Wang, Baocai Yin, Xiang Ruan
From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur: Dong Gong, Jie Yang, Lingqiao Liu, Yanning Zhang, Ian Reid, Chunhua Shen, Anton van den Hengel, Qinfeng Shi
Co-Occurrence Filter: Roy J. Jevnisek, Shai Avidan
Fractal Dimension Invariant Filtering and Its CNN-Based Implementation: Hongteng Xu, Junchi Yan, Nils Persson, Weiyao Lin, Hongyuan Zha
Noise-Blind Image Deblurring: Meiguang Jin, Stefan Roth, Paolo Favaro
Simultaneous Visual Data Completion and Denoising Based on Tensor Rank and Total Variation Minimization and Its Primal-Dual Splitting Algorithm: Tatsuya Yokota, Hidekata Hontani
HPatches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors: Vassileios Balntas, Karel Lenc, Andrea Vedaldi, Krystian Mikolajczyk
Hyperspectral Image Super-Resolution via Non-Local Sparse Tensor Factorization: Renwei Dian, Leyuan Fang, Shutao Li
Reflection Removal Using Low-Rank Matrix Completion: Byeong-Ju Han, Jae-Young Sim
Object Co-Skeletonization With Co-Segmentation: Koteswar Rao Jerripothula, Jianfei Cai, Jiangbo Lu, Junsong Yuan

Machine Learning

Mining Object Parts From CNNs via Active Question-Answering: Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks: Xingcheng Zhang, Zhizhong Li, Chen Change Loy, Dahua Lin
The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions: Peng Wang, Qi Wu, Chunhua Shen, Anton van den Hengel
Joint Discriminative Bayesian Dictionary and Classifier Learning: Naveed Akhtar, Ajmal Mian, Fatih Porikli
A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching: Paul Swoboda, Carsten Rother, Hassan Abu Alhaija, Dagmar KainmÃ¼ller, Bogdan Savchynskyy
Quad-Networks: Unsupervised Learning to Rank for Interest Point Detection: Nikolay Savinov, Akihito Seki, Ä½ubor LadickÃ½, Torsten Sattler, Marc Pollefeys
Outlier-Robust Tensor PCA: Pan Zhou, Jiashi Feng
Learning Adaptive Receptive Fields for Deep Image Parsing Network: Zhen Wei, Yao Sun, Jinqiao Wang, Hanjiang Lai, Si Liu
Learning an Invariant Hilbert Space for Domain Adaptation: Samitha Herath, Mehrtash Harandi, Fatih Porikli
Fixed-Point Factorized Networks: Peisong Wang, Jian Cheng
Discriminative Optimization: Theory and Applications to Point Cloud Registration: Jayakorn Vongkulbhisal, Fernando De la Torre, JoÃ£o P. Costeira
Online Asymmetric Similarity Learning for Cross-Modal Retrieval: Yiling Wu, Shuhui Wang, Qingming Huang
Improving Training of Deep Neural Networks via Singular Value Bounding: Kui Jia, Dacheng Tao, Shenghua Gao, Xiangmin Xu
S3Pool: Pooling With Stochastic Spatial Sampling: Shuangfei Zhai, Hui Wu, Abhishek Kumar, Yu Cheng, Yongxi Lu, Zhongfei Zhang, Rogerio Feris
Sports Field Localization via Deep Structured Models: Namdar Homayounfar, Sanja Fidler, Raquel Urtasun
Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation: Binghui Chen, Weihong Deng, Junping Du
Switching Convolutional Neural Network for Crowd Counting ( project, PDF): Deepak Babu Sam*, Shiv Surya*, R. Venkatesh Babu ( (* Equal Contributors) Video Analytics Lab, Indian Institute of Science)
Network Sketching: Exploiting Binary Structure in Deep CNNs ( PDF): Yiwen Guo, Anbang Yao, Hao Zhao, Yurong Chen
Multi-Task Clustering of Human Actions by Sharing Information: Shizhe Hu, Xiaoqiang Yan, Yangdong Ye
Soft-Margin Mixture of Regressions: Dong Huang, Longfei Han, Fernando De la Torre
Multigrid Neural Architectures: Tsung-Wei Ke, Michael Maire, Stella X. Yu
High-Resolution Image Inpainting Using Multi-Scale Neural Patch Synthesis: Chao Yang, Xin Lu, Zhe Lin, Eli Shechtman, Oliver Wang, Hao Li
Deep Quantization: Encoding Convolutional Activations With Deep Generative Model: Zhaofan Qiu, Ting Yao, Tao Mei
DOPE: Distributed Optimization for Pairwise Energies: Jose Dolz, Ismail Ben Ayed, Christian Desrosiers
Improved Texture Networks: Maximizing Quality and Diversity in Feed-Forward Stylization and Texture Synthesis: Dmitry Ulyanov, Andrea Vedaldi, Victor Lempitsky

Object Recognition & Scene Understanding

Polyhedral Conic Classifiers for Visual Object Detection and Classification: Hakan Cevikalp, Bill Triggs
Incremental Kernel Null Space Discriminant Analysis for Novelty Detection: Juncheng Liu, Zhouhui Lian, Yi Wang, Jianguo Xiao
Predicting Ground-Level Scene Layout From Aerial Imagery: Menghua Zhai, Zachary Bessinger, Scott Workman, Nathan Jacobs
Deep Feature Flow for Video Recognition: Xizhou Zhu, Yuwen Xiong, Jifeng Dai, Lu Yuan, Yichen Wei
Object-Aware Dense Semantic Correspondence: Fan Yang, Xin Li, Hong Cheng, Jianping Li, Leiting Chen
Semantic Regularisation for Recurrent Image Annotation: Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun
Video2Shop: Exact Matching Clothes in Videos to Online Shopping Images: Zhi-Qi Cheng, Xiao Wu, Yang Liu, Xian-Sheng Hua
Fast-At: Fast Automatic Thumbnail Generation Using Deep Neural Networks: Seyed A. Esmaeili, Bharat Singh, Larry S. Davis
Multi-Level Attention Networks for Visual Question Answering: Dongfei Yu, Jianlong Fu, Tao Mei, Yong Rui
Generating Descriptions With Grounded and Co-Referenced People: Anna Rohrbach, Marcus Rohrbach, Siyu Tang, Seong Joon Oh, Bernt Schiele
Straight to Shapes: Real-Time Detection of Encoded Shapes: Saumya Jetley, Michael Sapienza, Stuart Golodetz, Philip H. S. Torr
Simultaneous Feature Aggregating and Hashing for Large-Scale Image Search: Thanh-Toan Do, Dang-Khoa Le Tan, Trung T. Pham, Ngai-Man Cheung
Improving Facial Attribute Prediction Using Semantic Segmentation: Mahdi M. Kalayeh, Boqing Gong, Mubarak Shah

Video Analytics

Learning Cross-Modal Deep Representations for Robust Pedestrian Detection: Dan Xu, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, Nicu Sebe
Spatio-Temporal Self-Organizing Map Deep Network for Dynamic Object Detection From Videos: Yang Du, Chunfeng Yuan, Bing Li, Weiming Hu, Stephen Maybank
CERN: Confidence-Energy Recurrent Network for Group Activity Recognition: Tianmin Shu, Sinisa Todorovic, Song-Chun Zhu
Understanding Traffic Density From Large-Scale Web Camera Data: Shanghang Zhang, Guanhang Wu, JoÃ£o P. Costeira, José M. F. Moura
Collaborative Summarization of Topic-Related Videos: Rameswar Panda, Amit K. Roy-Chowdhury

Machine Learning 3

Spotlight 3-1A

Local Binary Convolutional Neural Networks: Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides
Deep Self-Taught Learning for Weakly Supervised Object Localization: Zequn Jie, Yunchao Wei, Xiaojie Jin, Jiashi Feng, Wei Liu
Multi-Modal Mean-Fields via Cardinality-Based Clamping: Pierre Baqué, FranÃ§ois Fleuret, Pascal Fua
Probabilistic Temporal Subspace Clustering: Vladimir Pavlovic, Behnam Gholami
Provable Self-Representation Based Outlier Detection in a Union of Subspaces: Chong You, Daniel P. Robinson, René Vidal
Latent Multi-View Subspace Clustering: Changqing Zhang, Qinghua Hu, Huazhu Fu, Pengfei Zhu, Xiaochun Cao
Learning to Extract Semantic Structure From Documents Using Multimodal Fully Convolutional Neural Networks: Xiao Yang, Ersin Yumer, Paul Asente, Mike Kraley, Daniel Kifer, C. Lee Giles
Age Progression/Regression by Conditional Adversarial Autoencoder: Zhifei Zhang, Yang Song, Hairong Qi

Oral 3-1A

Compact Matrix Factorization With Dependent Subspaces: Viktor Larsson, Carl Olsson
FFTLasso: Large-Scale LASSO in the Fourier Domain: Adel Bibi, Hani Itani, Bernard Ghanem
On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution: Yuqian Zhang, Yenson Lau, Han-wen Kuo, Sky Cheung, Abhay Pasupathy, John Wright
Global Optimality in Neural Network Training: Benjamin D. Haeffele, René Vidal

Object Recognition & Scene Understanding 2

Spotlight 3-1B

What Is and What Is Not a Salient Object? Learning Salient Object Detector by Ensembling Linear Exemplar Regressors: Changqun Xia, Jia Li, Xiaowu Chen, Anlin Zheng, Yu Zhang
Deep Variation-Structured Reinforcement Learning for Visual Relationship and Attribute Detection: Xiaodan Liang, Lisa Lee, Eric P. Xing
Modeling Relationships in Referential Expressions With Compositional Modular Networks: Ronghang Hu, Marcus Rohrbach, Jacob Andreas, Trevor Darrell, Kate Saenko
Counting Everyday Objects in Everyday Scenes: Prithvijit Chattopadhyay, Ramakrishna Vedantam, Ramprasaath R. Selvaraju, Dhruv Batra, Devi Parikh
Fully Convolutional Instance-Aware Semantic Segmentation: Yi Li, Haozhi Qi, Jifeng Dai, Xiangyang Ji, Yichen Wei
Semantic Autoencoder for Zero-Shot Learning: Elyor Kodirov, Tao Xiang, Shaogang Gong
CityPersons: A Diverse Dataset for Pedestrian Detection: Shanshan Zhang, Rodrigo Benenson, Bernt Schiele
GuessWhat?! Visual Object Discovery Through Multi-Modal Dialogue: Harm de Vries, Florian Strub, Sarath Chandar, Olivier Pietquin, Hugo Larochelle, Aaron Courville

Oral 3-1B

Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition: Jianlong Fu, Heliang Zheng, Tao Mei
Annotating Object Instances With a Polygon-RNN: LluÃs CastrejÃ³n, Kaustav Kundu, Raquel Urtasun, Sanja Fidler
Connecting Look and Feel: Associating the Visual and Tactile Properties of Physical Materials: Wenzhen Yuan, Shaoxiong Wang, Siyuan Dong, Edward Adelson
Deep Learning Human Mind for Automated Visual Classification: Concetto Spampinato, Simone Palazzo, Isaak Kavasidis, Daniela Giordano, Nasim Souly, Mubarak Shah

Poster 3-1

3D Computer Vision

Self-Calibration-Based Approach to Critical Motion Sequences of Rolling-Shutter Structure From Motion: Eisuke Ito, Takayuki Okatani
Semi-Calibrated Near Field Photometric Stereo: Fotios Logothetis, Roberto Mecca, Roberto Cipolla
Semantic Multi-View Stereo: Jointly Estimating Objects and Voxels: Ali Osman Ulusoy, Michael J. Black, Andreas Geiger
Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps: Matteo Poggi, Stefano Mattoccia
The Misty Three Point Algorithm for Relative Pose: Tobias Palmér, Kalle Ã…strÃ¶m, Jan-Michael Frahm
The Surfacing of Multiview 3D Drawings via Lofting and Occlusion Reasoning ( PDF, dataset, poster): Anil Usumezbas, Ricardo Fabbri, Benjamin B. Kimia
A New Representation of Skeleton Sequences for 3D Action Recognition: Qiuhong Ke, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaid
A General Framework for Curve and Surface Comparison and Registration With Oriented Varifolds: Irène Kaltenmark, Benjamin Charlier, Nicolas Charon
Learning to Align Semantic Segmentation and 2.5D Maps for Geolocalization: Anil Armagan, Martin Hirzer, Peter M. Roth, Vincent Lepetit
A Generative Model for Depth-Based Robust 3D Facial Pose Tracking: Lu Sheng, Jianfei Cai, Tat-Jen Cham, Vladimir Pavlovic, King Ngi Ngan
Fast 3D Reconstruction of Faces With Glasses: Fabio Maninchedda, Martin R. Oswald, Marc Pollefeys
An Efficient Algebraic Solution to the Perspective-Three-Point Problem: Tong Ke, Stergios I. Roumeliotis

Analyzing Humans in Images

Learning From Synthetic Humans: GÃ¼l Varol, Javier Romero, Xavier Martin, Naureen Mahmood, Michael J. Black, Ivan Laptev, Cordelia Schmid
Forecasting Interactive Dynamics of Pedestrians With Fictitious Play: Wei-Chiu Ma, De-An Huang, Namhoon Lee, Kris M. Kitani
Hand Keypoint Detection in Single Images Using Multiview Bootstrapping: Tomas Simon, Hanbyul Joo, Iain Matthews, Yaser Sheikh
PoseTrack: Joint Multi-Person Pose Estimation and Tracking: Umar Iqbal, Anton Milan, Juergen Gall
Expecting the Unexpected: Training Detectors for Unusual Pedestrians With Adversarial Imposters: Shiyu Huang, Deva Ramanan
On Human Motion Prediction Using Recurrent Neural Networks: Julieta Martinez, Michael J. Black, Javier Romero
Learning and Refining of Privileged Information-Based RNNs for Action Recognition From Depth Sequences: Zhiyuan Shi, Tae-Kyun Kim
Quality Aware Network for Set to Set Recognition: Yu Liu, Junjie Yan, Wanli Ouyang
Unite the People: Closing the Loop Between 3D and 2D Human Representations: Christoph Lassner, Javier Romero, Martin Kiefel, Federica Bogo, Michael J. Black, Peter V. Gehler
Deep Multitask Architecture for Integrated 2D and 3D Human Sensing: Alin-Ionut Popa, Mihai Zanfir, Cristian Sminchisescu
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset: JoÃ£o Carreira, Andrew Zisserman

Applications

Identifying First-Person Camera Wearers in Third-Person Videos: Chenyou Fan, Jangwon Lee, Mingze Xu, Krishna Kumar Singh, Yong Jae Lee, David J. Crandall, Michael S. Ryoo

Biomedical Image/Video Analysis

Parsing Images of Overlapping Organisms With Deep Singling-Out Networks: Victor Yurchenko, Victor Lempitsky
Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally: Zongwei Zhou, Jae Shin, Lei Zhang, Suryakanth Gurudu, Michael Gotway, Jianming Liang

Computational Photography

Depth From Defocus in the Wild: Huixuan Tang, Scott Cohen, Brian Price, Stephen Schiller, Kiriakos N. Kutulakos
Matting and Depth Recovery of Thin Structures Using a Focal Stack: Chao Liu, Srinivasa G. Narasimhan, Artur W. Dubrawski

Image Motion & Tracking

Robust Interpolation of Correspondences for Large Displacement Optical Flow: Yinlin Hu, Yunsong Li, Rui Song
Large Margin Object Tracking With Circulant Feature Maps: Mengmeng Wang, Yong Liu, Zeyi Huang
Minimum Delay Moving Object Detection: Dong Lao, Ganesh Sundaramoorthi
Multi-Task Correlation Particle Filter for Robust Object Tracking: Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang
Attentional Correlation Filter Network for Adaptive Visual Tracking: Jongwon Choi, Hyung Jin Chang, Sangdoo Yun, Tobias Fischer, Yiannis Demiris, Jin Young Choi
The World of Fast Moving Objects: Denys Rozumnyi, Jan Kotera, Filip Å roubek, LukÃ¡Å¡ NovotnÃ½, JiÅ™Ã Matas
Discriminative Correlation Filter With Channel and Spatial Reliability: Alan LukeÅ¾iÄ, TomÃ¡Å¡ VojÃÅ™, Luka ÄŒehovin Zajc, JiÅ™Ã Matas, Matej Kristan

Low- & Mid-Level Vision

Learning Deep Binary Descriptor With Multi-Quantization: Yueqi Duan, Jiwen Lu, Ziwei Wang, Jianjiang Feng, Jie Zhou
One-To-Many Network for Visually Pleasing Compression Artifacts Reduction: Jun Guo, Hongyang Chao
Gated Feedback Refinement Network for Dense Image Labeling: Md Amirul Islam, Mrigank Rochan, Neil D. B. Bruce, Yang Wang
BRISKS: Binary Features for Spherical Images on a Geodesic Grid: Hao Guan, William A. P. Smith
Superpixels and Polygons Using Simple Non-Iterative Clustering: Radhakrishna Achanta, Sabine SÃ¼sstrunk
Hardware-Efficient Guided Image Filtering for Multi-Label Problem: Longquan Dai, Mengke Yuan, Zechao Li, Xiaopeng Zhang, Jinhui Tang
Alternating Direction Graph Matching: D. KhuÃª LÃª-Huu, Nikos Paragios
Learning Discriminative and Transformation Covariant Local Feature Detectors: Xu Zhang, Felix X. Yu, Svebor Karaman, Shih-Fu Chang

Machine Learning

Correlational Gaussian Processes for Cross-Domain Visual Recognition: Chengjiang Long, Gang Hua
DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data ( PDF, code): Swaminathan Gurumurthy (CMU), Ravi Kiran Sarvadevabhatla ( Video Analytics Lab, Indian Institute of Science), R. Venkatesh Babu
Oriented Response Networks: Yanzhao Zhou, Qixiang Ye, Qiang Qiu, Jianbin Jiao
Missing Modalities Imputation via Cascaded Residual Autoencoder: Luan Tran, Xiaoming Liu, Jiayu Zhou, Rong Jin
Efficient Optimization for Hierarchically-structured Interacting Segments (HINTS): Hossam Isack, Olga Veksler, Ipek Oguz, Milan Sonka, Yuri Boykov
A Message Passing Algorithm for the Minimum Cost Multicut Problem: Paul Swoboda, Bjoern Andres
End-To-End Representation Learning for Correlation Filter Based Tracking: Jack Valmadre, Luca Bertinetto, JoÃ£o Henriques, Andrea Vedaldi, Philip H. S. Torr
Filter Flow Made Practical: Massively Parallel and Lock-Free: Sathya N. Ravi, Yunyang Xiong, Lopamudra Mukherjee, Vikas Singh
Online Graph Completion: Multivariate Signal Recovery in Computer Vision: Won Hwa Kim, Mona Jalal, Seongjae Hwang, Sterling C. Johnson, Vikas Singh
Point to Set Similarity Based Deep Feature Learning for Person Re-Identification: Sanping Zhou, Jinjun Wang, Jiayun Wang, Yihong Gong, Nanning Zheng
Exploiting Saliency for Object Segmentation From Image Level Labels: Seong Joon Oh, Rodrigo Benenson, Anna Khoreva, Zeynep Akata, Mario Fritz, Bernt Schiele
Consensus Maximization With Linear Matrix Inequality Constraints: Pablo Speciale, Danda Pani Paudel, Martin R. Oswald, Till Kroeger, Luc Van Gool, Marc Pollefeys
Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks: Yinda Zhang, Shuran Song, Ersin Yumer, Manolis Savva, Joon-Young Lee, Hailin Jin, Thomas Funkhouser
Deep Multimodal Representation Learning From Temporal Data: Xitong Yang, Palghat Ramesh, Radha Chitta, Sriganesh Madhvanath, Edgar A. Bernal, Jiebo Luo
All You Need Is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks With Orthonormality and Modulation: Di Xie, Jiang Xiong, Shiliang Pu
Hard Mixtures of Experts for Large Scale Weakly Supervised Vision: Sam Gross, Marc'Aurelio Ranzato, Arthur Szlam
A Reinforcement Learning Approach to the View Planning Problem: Mustafa Devrim Kaba, Mustafa Gokhan Uzunbas, Ser Nam Lim
Zero-Shot Classification With Discriminative Semantic Representation Learning: Meng Ye, Yuhong Guo
Adversarial Discriminative Domain Adaptation: Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell

None of the above

Learning to Rank Retargeted Images: Yang Chen, Yong-Jin Liu, Yu-Kun Lai

Object Recognition & Scene Understanding

Automatic Discovery, Association Estimation and Learning of Semantic Attributes for a Thousand Categories: Ziad Al-Halah, Rainer Stiefelhagen
Scene Parsing Through ADE20K Dataset: Bolei Zhou, Hang Zhao, Xavier Puig, Sanja Fidler, Adela Barriuso, Antonio Torralba
Weakly Supervised Cascaded Convolutional Networks: Ali Diba, Vivek Sharma, Ali Pazandeh, Hamed Pirsiavash, Luc Van Gool
Discretely Coding Semantic Rank Orders for Supervised Image Hashing: Li Liu, Ling Shao, Fumin Shen, Mengyang Yu
Joint Geometrical and Statistical Alignment for Visual Domain Adaptation: Jing Zhang, Wanqing Li, Philip Ogunbona
Weakly Supervised Dense Video Captioning: Zhiqiang Shen, Jianguo Li, Zhou Su, Minjun Li, Yurong Chen, Yu-Gang Jiang, Xiangyang Xue
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation: Guosheng Lin, Anton Milan, Chunhua Shen, Ian Reid
Semantic Segmentation via Structured Patch Prediction, Context CRF and Guidance CRF: Falong Shen, Rui Gan, Shuicheng Yan, Gang Zeng
Person Search With Natural Language Description: Shuang Li, Tong Xiao, Hongsheng Li, Bolei Zhou, Dayu Yue, Xiaogang Wang
Weakly Supervised Affordance Detection: Johann Sawatzky, Abhilash Srikantha, Juergen Gall
Zero-Shot Recognition Using Dual Visual-Semantic Mapping Paths: Yanan Li, Donghui Wang, Huanhang Hu, Yuetan Lin, Yueting Zhuang
Neural Aggregation Network for Video Face Recognition ( PDF): Jiaolong Yang (Microsoft Research), Peiran Ren (Microsoft Research), Dongqing Zhang (Microsoft Research), Dong Chen (Microsoft Research), Fang Wen (Microsoft Research), Hongdong Li (ANU), Gang Hua (Microsoft Research)
Relationship Proposal Networks: Ji Zhang, Mohamed Elhoseiny, Scott Cohen, Walter Chang, Ahmed Elgammal
Learning Object Interactions and Descriptions for Semantic Image Segmentation: Guangrun Wang, Ping Luo, Liang Lin, Xiaogang Wang
RON: Reverse Connection With Objectness Prior Networks for Object Detection: Tao Kong, Fuchun Sun, Anbang Yao, Huaping Liu, Ming Lu, Yurong Chen
Weakly-Supervised Visual Grounding of Phrases With Linguistic Structures: Fanyi Xiao, Leonid Sigal, Yong Jae Lee
Incorporating Copying Mechanism in Image Captioning for Learning Novel Objects: Ting Yao, Yingwei Pan, Yehao Li, Tao Mei
Beyond Instance-Level Image Retrieval: Leveraging Captions to Learn a Global Visual Representation for Semantic Retrieval: Diane Larlus, Albert Gordo
MuCaLe-Net: Multi Categorical-Level Networks to Generate More Discriminating Features: Youssef Tamaazousti, Hervé Le Borgne, Céline Hudelot
Zero Shot Learning via Multi-Scale Manifold Regularization: Shay Deutsch, Soheil Kolouri, Kyungnam Kim, Yuri Owechko, Stefano Soatto

Theory

Deeply Supervised Salient Object Detection With Short Connections: Qibin Hou, Ming-Ming Cheng, Xiaowei Hu, Ali Borji, Zhuowen Tu, Philip H. S. Torr
A Matrix Splitting Method for Composite Function Minimization: Ganzhao Yuan, Wei-Shi Zheng, Bernard Ghanem

Video Analytics

One-Shot Video Object Segmentation ( PDF, project, code, code): Sergi Caelles, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Laura Leal-TaixÃ©, Daniel Cremers, Luc Van Gool
Fast Person Re-Identification via Cross-Camera Semantic Binary Transformation: Jiaxin Chen, Yunhong Wang, Jie Qin, Li Liu, Ling Shao
SPFTN: A Self-Paced Fine-Tuning Network for Segmenting Objects in Weakly Labelled Videos: Dingwen Zhang, Le Yang, Deyu Meng, Dong Xu, Junwei Han

Machine Learning 4

Spotlight 4-1A

Hidden Layers in Perceptual Learning: Gad Cohen, Daphna Weinshall
Few-Shot Object Recognition From Machine-Labeled Web Images: Zhongwen Xu, Linchao Zhu, Yi Yang
Hallucinating Very Low-Resolution Unaligned and Noisy Face Images by Transformative Discriminative Autoencoders: Xin Yu, Fatih Porikli
Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension: Aniruddha Kembhavi, Minjoon Seo, Dustin Schwenk, Jonghyun Choi, Ali Farhadi, Hannaneh Hajishirzi
Deep Hashing Network for Unsupervised Domain Adaptation: Hemanth Venkateswara, Jose Eusebio, Shayok Chakraborty, Sethuraman Panchanathan
Generalized Deep Image to Image Regression: Venkataraman Santhanam, Vlad I. Morariu, Larry S. Davis
Deep Learning With Low Precision by Half-Wave Gaussian Quantization: Zhaowei Cai, Xiaodong He, Jian Sun, Nuno Vasconcelos
Creativity: Generating Diverse Questions Using Variational Autoencoders: Unnat Jain, Ziyu Zhang, Alexander G. Schwing

Oral 4-1A

Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs: Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele RodolÃ , Jan Svoboda, Michael M. Bronstein
Full Resolution Image Compression With Recurrent Neural Networks: George Toderici, Damien Vincent, Nick Johnston, Sung Jin Hwang, David Minnen, Joel Shor, Michele Covell
Neural Face Editing With Intrinsic Image Disentangling: Zhixin Shu, Ersin Yumer, Sunil Hadap, Kalyan Sunkavalli, Eli Shechtman, Dimitris Samaras
Ubernet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory: Iasonas Kokkinos

Analyzing Humans with 3D Vision

Spotlight 4-1B

3D Face Morphable Models â€œIn-The-Wildâ€: James Booth, Epameinondas Antonakos, Stylianos Ploumpis, George Trigeorgis, Yannis Panagakis, Stefanos Zafeiriou
KillingFusion: Non-Rigid 3D Reconstruction Without Correspondences: Miroslava Slavcheva, Maximilian Baust, Daniel Cremers, Slobodan Ilic
Detailed, Accurate, Human Shape Estimation From Clothed 3D Scan Sequences: Chao Zhang, Sergi Pujades, Michael J. Black, Gerard Pons-Moll
POSEidon: Face-From-Depth for Driver Pose Estimation: Guido Borghi, Marco Venturelli, Roberto Vezzani, Rita Cucchiara
Human Shape From Silhouettes Using Generative HKS Descriptors and Cross-Modal Neural Networks: Endri Dibra, Himanshu Jain, Cengiz Ã–ztireli, Remo Ziegler, Markus Gross
Parametric T-Spline Face Morphable Model for Detailed Fitting in Shape Subspace: Weilong Peng, Zhiyong Feng, Chao Xu, Yong Su
3D Menagerie: Modeling the 3D Shape and Pose of Animals: Silvia Zuffi, Angjoo Kanazawa, David W. Jacobs, Michael J. Black
iCaRL: Incremental Classifier and Representation Learning: Sylvestre-Alvise Rebuffi, Alexander Kolesnikov, Georg Sperl, Christoph H. Lampert

Oral 4-1B

Recurrent 3D Pose Sequence Machines: Mude Lin, Liang Lin, Xiaodan Liang, Keze Wang, Hui Cheng
Learning Detailed Face Reconstruction From a Single Image: Elad Richardson, Matan Sela, Roy Or-El, Ron Kimmel
Thin-Slicing Network: A Deep Structured Model for Pose Estimation in Videos: Jie Song, Limin Wang, Luc Van Gool, Otmar Hilliges
Dynamic FAUST: Registering Human Bodies in Motion: Federica Bogo, Javier Romero, Gerard Pons-Moll, Michael J. Black

Poster 4-1

3D Computer Vision

Semantically Coherent Co-Segmentation and Reconstruction of Dynamic Scenes: Armin Mustafa, Adrian Hilton
On the Two-View Geometry of Unsynchronized Cameras: Cenek Albl, Zuzana Kukelova, Andrew Fitzgibbon, Jan Heller, Matej Smid, Tomas Pajdla
Using Locally Corresponding CAD Models for Dense 3D Reconstructions From a Single Image: Chen Kong, Chen-Hsuan Lin, Simon Lucey
A Clever Elimination Strategy for Efficient Minimal Solvers: Zuzana Kukelova, Joe Kileel, Bernd Sturmfels, Tomas Pajdla
Convex Global 3D Registration With Lagrangian Duality: Jesus Briales, Javier Gonzalez-Jimenez
DeMoN: Depth and Motion Network for Learning Monocular Stereo ( project, PDF): Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox
3D Bounding Box Estimation Using Deep Learning and Geometry: Arsalan Mousavian, Dragomir Anguelov, John Flynn, Jana KoÅ¡eckÃ¡
A Dataset for Benchmarking Image-Based Localization: Xun Sun, Yuanfan Xie, Pei Luo, Liang Wang

Analyzing Humans in Images

Asynchronous Temporal Fields for Action Recognition: Gunnar A. Sigurdsson, Santosh Divvala, Ali Farhadi, Abhinav Gupta
Sequential Person Recognition in Photo Albums With a Recurrent Network: Yao Li, Guosheng Lin, Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Anton van den Hengel
Multi-Context Attention for Human Pose Estimation: Xiao Chu, Wei Yang, Wanli Ouyang, Cheng Ma, Alan L. Yuille, Xiaogang Wang
3D Convolutional Neural Networks for Efficient and Robust Hand Pose Estimation From Single Depth Images: Liuhao Ge, Hui Liang, Junsong Yuan, Daniel Thalmann
Lifting From the Deep: Convolutional 3D Pose Estimation From a Single Image: Denis Tome, Chris Russell, Lourdes Agapito
AdaScan: Adaptive Scan Pooling in Deep Convolutional Neural Networks for Human Action Recognition in Videos: Amlan Kar, Nishant Rai, Karan Sikka, Gaurav Sharma
Deep Structured Learning for Facial Action Unit Intensity Estimation: Robert Walecki, Ognjen (Oggi) Rudovic, Vladimir Pavlovic, BjÃ¶ern Schuller, Maja Pantic
Simultaneous Facial Landmark Detection, Pose and Deformation Estimation Under Facial Occlusion: Yue Wu, Chao Gou, Qiang Ji
Self-Supervised Video Representation Learning With Odd-One-Out Networks: Basura Fernando, Hakan Bilen, Efstratios Gavves, Stephen Gould
Robust Joint and Individual Variance Explained: Christos Sagonas, Yannis Panagakis, Alina Leidinger, Stefanos Zafeiriou
Discriminative Covariance Oriented Representation Learning for Face Recognition With Image Sets: Wen Wang, Ruiping Wang, Shiguang Shan, Xilin Chen
3D Human Pose Estimation = 2D Pose Estimation + Matching: Ching-Hang Chen, Deva Ramanan

Applications

Joint Gap Detection and Inpainting of Line Drawings: Kazuma Sasaki, Satoshi Iizuka, Edgar Simo-Serra, Hiroshi Ishikawa

Biomedical Image/Video Analysis

Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging: Hyunwoo J. Kim, Nagesh Adluru, Heemanshu Suri, Baba C. Vemuri, Sterling C. Johnson, Vikas Singh
Simultaneous Super-Resolution and Cross-Modality Synthesis of 3D Medical Images Using Weakly-Supervised Joint Convolutional Sparse Coding: Yawen Huang, Ling Shao, Alejandro F. Frangi

Computational Photography

Multiple-Scattering Microphysics Tomography: Aviad Levis, Yoav Y. Schechner, Anthony B. Davis

Image Motion & Tracking

Accurate Optical Flow via Direct Cost Volume Processing: Jia Xu, René Ranftl, Vladlen Koltun
Event-Based Visual Inertial Odometry: Alex Zihao Zhu, Nikolay Atanasov, Kostas Daniilidis
Robust Visual Tracking Using Oblique Random Forests: Le Zhang, Jagannadan Varadarajan, Ponnuthurai Nagaratnam Suganthan, Narendra Ahuja, Pierre Moulin

Low- & Mid-Level Vision

Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution: Wei-Sheng Lai, Jia-Bin Huang, Narendra Ahuja, Ming-Hsuan Yang
Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories: Jian Shi, Yue Dong, Hao Su, Stella X. Yu
MCMLSD: A Dynamic Programming Approach to Line Segment Detection: Emilio J. AlmazÃ n, Ron Tal, Yiming Qian, James H. Elder
Contour-Constrained Superpixels for Image and Video Processing: Se-Ho Lee, Won-Dong Jang, Chang-Su Kim
Richer Convolutional Features for Edge Detection: Yun Liu, Ming-Ming Cheng, Xiaowei Hu, Kai Wang, Xiang Bai
Non-Local Color Image Denoising With Convolutional Neural Networks: Stamatios Lefkimmiatis
Generative Face Completion: Yijun Li, Sifei Liu, Jimei Yang, Ming-Hsuan Yang
Hyper-Laplacian Regularized Unidirectional Low-Rank Tensor Recovery for Multispectral Image Denoising: Yi Chang, Luxin Yan, Sheng Zhong
Unsupervised Semantic Scene Labeling for Streaming Data: Maggie Wigness, John G. Rogers III
Why You Should Forget Luminance Conversion and Do Something Better: Rang M. H. Nguyen, Michael S. Brown
Deep Semantic Feature Matching: Nikolai Ufer, BjÃ¶rn Ommer

Machine Learning

Revisiting the Variable Projection Method for Separable Nonlinear Least Squares Problems: Je Hyeong Hong, Christopher Zach, Andrew Fitzgibbon
Efficient Multiple Instance Metric Learning Using Weakly Supervised Data: Marc T. Law, Yaoliang Yu, Raquel Urtasun, Richard S. Zemel, Eric P. Xing
WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation: Thibaut Durand, Taylor Mordan, Nicolas Thome, Matthieu Cord
Image-To-Image Translation With Conditional Adversarial Networks: Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros
Deep Roots: Improving CNN Efficiency With Hierarchical Filter Groups: Yani Ioannou, Duncan Robertson, Roberto Cipolla, Antonio Criminisi
Aggregated Residual Transformations for Deep Neural Networks: Saining Xie, Ross Girshick, Piotr DollÃ¡r, Zhuowen Tu, Kaiming He
MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks With Privileged Information: Hao Yang, Joey Tianyi Zhou, Jianfei Cai, Yew Soon Ong
Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning: Zhengming Ding, Ming Shao, Yun Fu
Factorized Variational Autoencoders for Modeling Audience Reactions to Movies: Zhiwei Deng, Rajitha Navarathna, Peter Carr, Stephan Mandt, Yisong Yue, Iain Matthews, Greg Mori
Learning Features by Watching Objects Move: Deepak Pathak, Ross Girshick, Piotr DollÃ¡r, Trevor Darrell, Bharath Hariharan
What Can Help Pedestrian Detection?: Jiayuan Mao, Tete Xiao, Yuning Jiang, Zhimin Cao
DeepPermNet: Visual Permutation Learning: Rodrigo Santa Cruz, Basura Fernando, Anoop Cherian, Stephen Gould
Learning the Multilinear Structure of Visual Data: Mengjiao Wang, Yannis Panagakis, Patrick Snape, Stefanos Zafeiriou
Adaptive and Move Making Auxiliary Cuts for Binary Pairwise Energies: Lena Gorelick, Yuri Boykov, Olga Veksler
Designing Energy-Efficient Convolutional Neural Networks Using Energy-Aware Pruning: Tien-Ju Yang, Yu-Hsin Chen, Vivienne Sze
Joint Multi-Person Pose Estimation and Semantic Part Segmentation ( PDF, dataset): Fangting Xia, Peng Wang, Xianjie Chen, Alan L. Yuille
Deep Feature Interpolation for Image Content Changes: Paul Upchurch, Jacob Gardner, Geoff Pleiss, Robert Pless, Noah Snavely, Kavita Bala, Kilian Weinberger
FASON: First and Second Order Information Fusion Network for Texture Recognition: Xiyang Dai, Joe Yue-Hei Ng, Larry S. Davis
Lean Crowdsourcing: Combining Humans and Machines in an Online System: Steve Branson, Grant Van Horn, Pietro Perona

Object Recognition & Scene Understanding

Supervising Neural Attention Models for Video Captioning by Human Gaze Data: Youngjae Yu, Jongwook Choi, Yeonhwa Kim, Kyung Yoo, Sang-Hun Lee, Gunhee Kim
L2-Net: Deep Learning of Discriminative Patch Descriptor in Euclidean Space: Yurun Tian, Bin Fan, Fuchao Wu
Convolutional Random Walk Networks for Semantic Image Segmentation: Gedas Bertasius, Lorenzo Torresani, Stella X. Yu, Jianbo Shi
Knowledge Acquisition for Visual Question Answering via Iterative Querying: Yuke Zhu, Joseph J. Lim, Li Fei-Fei
Memory-Augmented Attribute Manipulation Networks for Interactive Fashion Search: Bo Zhao, Jiashi Feng, Xiao Wu, Shuicheng Yan
From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis: Yang Long, Li Liu, Ling Shao, Fumin Shen, Guiguang Ding, Jungong Han
Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization?: Torsten Sattler, Akihiko Torii, Josef Sivic, Marc Pollefeys, Hajime Taira, Masatoshi Okutomi, Tomas Pajdla
Asymmetric Feature Maps With Application to Sketch Based Retrieval: Giorgos Tolias, OndÅ™ej Chum
Diverse Image Annotation: Baoyuan Wu, Fan Jia, Wei Liu, Bernard Ghanem
AMC: Attention guided Multi-modal Correlation Learning for Image Search: Kan Chen, Trung Bui, Chen Fang, Zhaowen Wang, Ram Nevatia
Multi-Attention Network for One Shot Learning: Peng Wang, Lingqiao Liu, Chunhua Shen, Zi Huang, Anton van den Hengel, Heng Tao Shen
Fried Binary Embedding for High-Dimensional Visual Features: Weixiang Hong, Junsong Yuan, Sreyasee Das Bhattacharjee
Pyramid Scene Parsing Network: Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, Jiaya Jia
Learning Deep Match Kernels for Image-Set Classification: Haoliang Sun, Xiantong Zhen, Yuanjie Zheng, Gongping Yang, Yilong Yin, Shuo Li
Task-Driven Dynamic Fusion: Reducing Ambiguity in Video Description: Xishan Zhang, Ke Gao, Yongdong Zhang, Dongming Zhang, Jintao Li, Qi Tian
Learning Multifunctional Binary Codes for Both Category and Attribute Oriented Retrieval Tasks: Haomiao Liu, Ruiping Wang, Shiguang Shan, Xilin Chen
Indoor Scene Parsing With Instance Segmentation, Semantic Labeling and Support Relationship Inference: Wei Zhuo, Mathieu Salzmann, Xuming He, Miaomiao Liu
Episodic CAMN: Contextual Attention-Based Memory Networks With Iterative Feedback for Scene Labeling: Abrar H. Abdulnabi, Bing Shuai, Stefan Winkler, Gang Wang
Link the Head to the â€œBeakâ€: Zero Shot Learning From Noisy Text Description at Part Precision: Mohamed Elhoseiny, Yizhe Zhu, Han Zhang, Ahmed Elgammal
SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning: Long Chen, Hanwang Zhang, Jun Xiao, Liqiang Nie, Jian Shao, Wei Liu, Tat-Seng Chua
Deep Pyramidal Residual Networks ( PDF, code): Dongyoon Han, Jiwhan Kim, Junmo Kim
Product Split Trees: Artem Babenko, Victor Lempitsky
Making the v in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering: Yash Goyal, Tejas Khot, Douglas Summers-Stay, Dhruv Batra, Devi Parikh
Commonly Uncommon: Semantic Sparsity in Situation Recognition: Mark Yatskar, Vicente Ordonez, Luke Zettlemoyer, Ali Farhadi
Cross-Modality Binary Code Learning via Fusion Similarity Hashing: Hong Liu, Rongrong Ji, Yongjian Wu, Feiyue Huang, Baochang Zhang

Theory

Saliency Revisited: Analysis of Mouse Movements Versus Fixations: Hamed R. Tavakoli, Fawad Ahmed, Ali Borji, Jorma Laaksonen
InterpoNet, a Brain Inspired Neural Network for Optical Flow Dense Interpolation: Shay Zweig, Lior Wolf

Video Analytics

SST: Single-Stream Temporal Action Proposals: Shyamal Buch, Victor Escorcia, Chuanqi Shen, Bernard Ghanem, Juan Carlos Niebles
Video Segmentation via Multiple Granularity Analysis: Rui Yang, Bingbing Ni, Chao Ma, Yi Xu, Xiaokang Yang
Spatio-Temporal Alignment of Non-Overlapping Sequences From Independently Panning Cameras: Seyed Morteza Safdarnejad, Xiaoming Liu
UntrimmedNets for Weakly Supervised Action Recognition and Detection: Limin Wang, Yuanjun Xiong, Dahua Lin, Luc Van Gool

Object Recognition & Scene Understanding 3

Spotlight 4-2A

Gaze Embeddings for Zero-Shot Image Classification: Nour Karessli, Zeynep Akata, Bernt Schiele, Andreas Bulling
What's in a Question: Using Visual Questions as a Form of Supervision: Siddha Ganju, Olga Russakovsky, Abhinav Gupta
Attend to You: Personalized Image Captioning With Context Sequence Memory Networks: Cesc Chunseong Park, Byeongchang Kim, Gunhee Kim
Adversarially Tuned Scene Generation: VSR Veeravasarapu, Constantin Rothkopf, Ramesh Visvanathan
Residual Attention Network for Image Classification: Fei Wang, Mengqing Jiang, Chen Qian, Shuo Yang, Cheng Li, Honggang Zhang, Xiaogang Wang, Xiaoou Tang
Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade: Xiaoxiao Li, Ziwei Liu, Ping Luo, Chen Change Loy, Xiaoou Tang
Learning Non-Maximum Suppression: Jan Hosang, Rodrigo Benenson, Bernt Schiele
The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives: Mohit Iyyer, Varun Manjunatha, Anupam Guha, Yogarshi Vyas, Jordan Boyd-Graber, Hal Daumé III, Larry S. Davis

Oral 4-2A

Object Region Mining With Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach: Yunchao Wei, Jiashi Feng, Xiaodan Liang, Ming-Ming Cheng, Yao Zhao, Shuicheng Yan
Fine-Grained Recognition as HSnet Search for Informative Image Parts: Michael Lam, Behrooz Mahasseni, Sinisa Todorovic
G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition: Qilong Wang, Peihua Li, Lei Zhang
YOLO9000: Better, Faster, Stronger: Joseph Redmon, Ali Farhadi

Machine Learning for 3D Vision

Spotlight 4-2B

Multi-View 3D Object Detection Network for Autonomous Driving: Xiaozhi Chen, Huimin Ma, Ji Wan, Bo Li, Tian Xia
UltraStereo: Efficient Learning-Based Matching for Active Stereo Systems: Sean Ryan Fanello, Julien Valentin, Christoph Rhemann, Adarsh Kowdle, Vladimir Tankovich, Philip Davidson, Shahram Izadi
Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis: Angela Dai, Charles Ruizhongtai Qi, Matthias NieÃŸner
Geometric Loss Functions for Camera Pose Regression With Deep Learning: Alex Kendall, Roberto Cipolla
CNN-SLAM: Real-Time Dense Monocular SLAM With Learned Depth Prediction: Keisuke Tateno, Federico Tombari, Iro Laina, Nassir Navab
Learning From Noisy Large-Scale Datasets With Minimal Supervision: Andreas Veit, Neil Alldrin, Gal Chechik, Ivan Krasin, Abhinav Gupta, Serge Belongie
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation: Li Yi, Hao Su, Xingwen Guo, Leonidas J. Guibas
Non-Local Deep Features for Salient Object Detection: Zhiming Luo, Akshaya Mishra, Andrew Achkar, Justin Eichel, Shaozi Li, Pierre-Marc Jodoin

Oral 4-2B

Unsupervised Monocular Depth Estimation With Left-Right Consistency: Clément Godard, Oisin Mac Aodha, Gabriel J. Brostow
Unsupervised Learning of Depth and Ego-Motion From Video: Tinghui Zhou, Matthew Brown, Noah Snavely, David G. Lowe
OctNet: Learning Deep 3D Representations at High Resolutions: Gernot Riegler, Ali Osman Ulusoy, Andreas Geiger
3D Shape Segmentation With Projective Convolutional Networks: Evangelos Kalogerakis, Melinos Averkiou, Subhransu Maji, Siddhartha Chaudhuri

Poster 4-2

3D Computer Vision

SGM-Nets: Semi-Global Matching With Neural Networks: Akihito Seki, Marc Pollefeys
Stereo-Based 3D Reconstruction of Dynamic Fluid Surfaces by Global Optimization: Yiming Qian, Minglun Gong, Yee-Hong Yang
Fine-To-Coarse Global Registration of RGB-D Scans: Maciej Halber, Thomas Funkhouser
Analyzing Computer Vision Data - The Good, the Bad and the Ugly: Oliver Zendel, Katrin Honauer, Markus Murschitz, Martin Humenberger, Gustavo FernÃ¡ndez DomÃnguez
Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space: Matthias Vestner, Roee Litman, Emanuele RodolÃ , Alex Bronstein, Daniel Cremers
Unsupervised Vanishing Point Detection and Camera Calibration From a Single Manhattan Image With Radial Distortion: Michel Antunes, JoÃ£o P. Barreto, Djamila Aouada, BjÃ¶rn Ottersten
Toroidal Constraints for Two-Point Localization Under High Outlier Ratios: Federico Camposeco, Torsten Sattler, Andrea Cohen, Andreas Geiger, Marc Pollefeys
4D Light Field Superpixel and Segmentation: Hao Zhu, Qi Zhang, Qing Wang
Exploiting Symmetry and/or Manhattan Properties for 3D Object Structure Estimation From Single and Multiple Images: Yuan Gao, Alan L. Yuille

Analyzing Humans in Images

Binary Coding for Partial Action Analysis With Limited Observation Ratios: Jie Qin, Li Liu, Ling Shao, Bingbing Ni, Chen Chen, Fumin Shen, Yunhong Wang
SphereFace: Deep Hypersphere Embedding for Face Recognition: Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, Le Song
IRINA: Iris Recognition (Even) in Inaccurately Segmented Data: Hugo ProenÃ§a, JoÃ£o C. Neves
Look Into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing: Ke Gong, Xiaodan Liang, Dongyu Zhang, Xiaohui Shen, Liang Lin
Action Unit Detection With Region Adaptation, Multi-Labeling Learning and Optimal Temporal Fusing: Wei Li, Farnaz Abtahi, Zhigang Zhu
See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-Identification: Zhen Zhou, Yan Huang, Wei Wang, Liang Wang, Tieniu Tan
Joint Intensity and Spatial Metric Learning for Robust Gait Recognition: Yasushi Makihara, Atsuyuki Suzuki, Daigo Muramatsu, Xiang Li, Yasushi Yagi
Pose-Aware Person Recognition: Vijay Kumar, Anoop Namboodiri, Manohar Paluri, C. V. Jawahar
Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding: José Lezama, Qiang Qiu, Guillermo Sapiro

Applications

Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals: Katsuyuki Nakamura, Serena Yeung, Alexandre Alahi, Li Fei-Fei
Binarized Mode Seeking for Scalable Visual Pattern Discovery: Wei Zhang, Xiaochun Cao, Rui Wang, Yuanfang Guo, Zhineng Chen
Scribbler: Controlling Deep Image Synthesis With Sketch and Color: Patsorn Sangkloy, Jingwan Lu, Chen Fang, Fisher Yu, James Hays

Biomedical Image/Video Analysis

Multi-Way Multi-Level Kernel Modeling for Neuroimaging Classification: Lifang He, Chun-Ta Lu, Hao Ding, Shen Wang, Linlin Shen, Philip S. Yu, Ann B. Ragin
WSISA: Making Survival Prediction From Whole Slide Histopathological Images: Xinliang Zhu, Jiawen Yao, Feiyun Zhu, Junzhou Huang

Computational Photography

On the Effectiveness of Visible Watermarks: Tali Dekel, Michael Rubinstein, Ce Liu, William T. Freeman
Snapshot Hyperspectral Light Field Imaging: Zhiwei Xiong, Lizhi Wang, Huiqun Li, Dong Liu, Feng Wu
Semantic Image Inpainting With Deep Generative Models: Raymond A. Yeh, Chen Chen, Teck Yian Lim, Alexander G. Schwing, Mark Hasegawa-Johnson, Minh N. Do

Image Motion & Tracking

Fast Multi-Frame Stereo Scene Flow With Motion Segmentation: Tatsunori Taniai, Sudipta N. Sinha, Yoichi Sato
Improved Stereo Matching With Constant Highway Networks and Reflective Confidence Learning: Amit Shaked, Lior Wolf
Optical Flow in Mostly Rigid Scenes: Jonas Wulff, Laura Sevilla-Lara, Michael J. Black
Optical Flow Requires Multiple Strategies (but Only One Network) ( PDF, code): Tal Schuster, Lior Wolf, David Gadot
ECO: Efficient Convolution Operators for Tracking: Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg

Low- & Mid-Level Vision

Differential Angular Imaging for Material Recognition: Jia Xue, Hang Zhang, Kristin Dana, Ko Nishino
Fast Fourier Color Constancy: Jonathan T. Barron, Yun-Ta Tsai
Comparative Evaluation of Hand-Crafted and Learned Local Features: Johannes L. SchÃ¶nberger, Hans Hardmeier, Torsten Sattler, Marc Pollefeys
Learning Fully Convolutional Networks for Iterative Non-Blind Deconvolution: Jiawei Zhang, Jinshan Pan, Wei-Sheng Lai, Rynson W. H. Lau, Ming-Hsuan Yang
Image Deblurring via Extreme Channels Prior: Yanyang Yan, Wenqi Ren, Yuanfang Guo, Rui Wang, Xiaochun Cao
Simultaneous Stereo Video Deblurring and Scene Flow Estimation: Liyuan Pan, Yuchao Dai, Miaomiao Liu, Fatih Porikli
Deep Photo Style Transfer: Fujun Luan, Sylvain Paris, Eli Shechtman, Kavita Bala
Generative Attribute Controller With Conditional Filtered Generative Adversarial Networks: Takuhiro Kaneko, Kaoru Hiramatsu, Kunio Kashino
Fast Haze Removal for Nighttime Image Using Maximum Reflectance Prior: Jing Zhang, Yang Cao, Shuai Fang, Yu Kang, Chang Wen Chen

Machine Learning

Low-Rank Bilinear Pooling for Fine-Grained Classification: Shu Kong, Charless Fowlkes
Neural Scene De-Rendering: Jiajun Wu, Joshua B. Tenenbaum, Pushmeet Kohli
Real-Time Neural Style Transfer for Videos: Haozhi Huang, Hao Wang, Wenhan Luo, Lin Ma, Wenhao Jiang, Xiaolong Zhu, Zhifeng Li, Wei Liu
A Graph Regularized Deep Neural Network for Unsupervised Image Representation Learning: Shijie Yang, Liang Li, Shuhui Wang, Weigang Zhang, Qingming Huang
Collaborative Deep Reinforcement Learning for Joint Object Search: Xiangyu Kong, Bo Xin, Yizhou Wang, Gang Hua
Loss Max-Pooling for Semantic Image Segmentation: Samuel Rota BulÃ², Gerhard Neuhold, Peter Kontschieder
Deep View Morphing: Dinghuang Ji, Junghyun Kwon, Max McFarland, Silvio Savarese
Unsupervised Learning of Long-Term Motion Dynamics for Videos: Zelun Luo, Boya Peng, De-An Huang, Alexandre Alahi, Li Fei-Fei
Revisiting Metric Learning for SPD Matrix Based Visual Representation: Luping Zhou, Lei Wang, Jianjia Zhang, Yinghuan Shi, Yang Gao
Expert Gate: Lifelong Learning With a Network of Experts: Rahaf Aljundi, Punarjay Chakravarty, Tinne Tuytelaars
A Gift From Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning: Junho Yim, Donggyu Joo, Jihoon Bae, Junmo Kim
Domain Adaptation by Mixture of Alignments of Second- or Higher-Order Scatter Tensors: Piotr Koniusz, Yusuf Tas, Fatih Porikli
Deep Mixture of Linear Inverse Regressions Applied to Head-Pose Estimation: Stéphane Lathuilière, Rémi Juge, Pablo Mesejo, Rafael Muñoz-Salinas, Radu Horaud
STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling: Yang He, Wei-Chen Chiu, Margret Keuper, Mario Fritz
Harmonic Networks: Deep Translation and Rotation Equivariance: Daniel E. Worrall, Stephan J. Garbin, Daniyar Turmukhambetov, Gabriel J. Brostow
Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer: Xin Wang, Geoffrey Oxholm, Da Zhang, Yuan-Fang Wang
Detect, Replace, Refine: Deep Structured Prediction for Pixel Wise Labeling: Spyros Gidaris, Nikos Komodakis
Weighted-Entropy-Based Quantization for Deep Neural Networks: Eunhyeok Park, Junwhan Ahn, Sungjoo Yoo
Residual Expansion Algorithm: Fast and Effective Optimization for Nonconvex Least Squares Problems: Daiki Ikami, Toshihiko Yamasaki, Kiyoharu Aizawa
Bidirectional Beam Search: Forward-Backward Inference in Neural Sequence Models for Fill-In-The-Blank Image Captioning: Qing Sun, Stefan Lee, Dhruv Batra
Newton-Type Methods for Inference in Higher-Order Markov Random Fields: Hariprasad Kannan, Nikos Komodakis, Nikos Paragios
Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation: Zheng Xu, MÃ¡rio A. T. Figueiredo, Xiaoming Yuan, Christoph Studer, Tom Goldstein

Object Recognition & Scene Understanding

ViP-CNN: Visual Phrase Guided Convolutional Neural Network: Yikang Li, Wanli Ouyang, Xiaogang Wang, Xiao'ou Tang
Instance-Aware Image and Sentence Matching With Selective Multimodal LSTM: Yan Huang, Wei Wang, Liang Wang
Kernel Square-Loss Exemplar Machines for Image Retrieval: Rafael S. Rezende, Joaquin Zepeda, Jean Ponce, Francis Bach, Patrick Pérez
Cognitive Mapping and Planning for Visual Navigation: Saurabh Gupta, James Davidson, Sergey Levine, Rahul Sukthankar, Jitendra Malik
Combining Bottom-Up, Top-Down, and Smoothness Cues for Weakly Supervised Image Segmentation: Anirban Roy, Sinisa Todorovic
Seeing Into Darkness: Scotopic Visual Recognition: Bo Chen, Pietro Perona
Deep Co-Occurrence Feature Learning for Visual Object Recognition: Ya-Fang Shih, Yang-Ming Yeh, Yen-Yu Lin, Ming-Fang Weng, Yi-Chang Lu, Yung-Yu Chuang
An Empirical Evaluation of Visual Question Answering for Novel Objects: Santhosh K. Ramakrishnan, Ambar Pal, Gaurav Sharma, Anurag Mittal
InstanceCut: From Edges to Instances With MultiCut: Alexander Kirillov, Evgeny Levinkov, Bjoern Andres, Bogdan Savchynskyy, Carsten Rother
Fine-Grained Image Classification via Combining Vision and Language: Xiangteng He, Yuxin Peng
Mimicking Very Efficient Network for Object Detection: Quanquan Li, Shengying Jin, Junjie Yan
Tracking by Natural Language Specification: Zhenyang Li, Ran Tao, Efstratios Gavves, Cees G. M. Snoek, Arnold W.M. Smeulders
A Dataset and Exploration of Models for Understanding Video Data Through Fill-In-The-Blank Question-Answering: Tegan Maharaj, Nicolas Ballas, Anna Rohrbach, Aaron Courville, Christopher Pal
Learning Detection With Diverse Proposals: Samaneh Azadi, Jiashi Feng, Trevor Darrell
Skeleton Key: Image Captioning by Skeleton-Attribute Decomposition: Yufei Wang, Zhe Lin, Xiaohui Shen, Scott Cohen, Garrison W. Cottrell

Theory

A Low Power, Fully Event-Based Gesture Recognition System: Arnon Amir, Brian Taba, David Berg, Timothy Melano, Jeffrey McKinstry, Carmelo Di Nolfo, Tapan Nayak, Alexander Andreopoulos, Guillaume Garreau, Marcela Mendoza, Jeff Kusnitz, Michael Debole, Steve Esser, Tobi Delbruck, Myron Flickner, Dharmendra Modha

Video Analytics

Learning Deep Context-Aware Features Over Body and Latent Parts for Person Re-Identification: Dangwei Li, Xiaotang Chen, Zhang Zhang, Kaiqi Huang
Recurrent Modeling of Interaction Context for Collective Activity Recognition: Minsi Wang, Bingbing Ni, Xiaokang Yang
Primary Object Segmentation in Videos Based on Region Augmentation and Reduction: Yeong Jun Koh, Chang-Su Kim
ROAM: A Rich Object Appearance Model With Application to Rotoscoping: Ondrej Miksik, Juan-Manuel Pérez-RÃºa, Philip H. S. Torr, Patrick Pérez
Temporal Residual Networks for Dynamic Scene Recognition: Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes
Spatiotemporal Multiplier Networks for Video Action Recognition: Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes
Learning to Learn From Noisy Web Videos: Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei
YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video: Esteban Real, Jonathon Shlens, Stefano Mazzocchi, Xin Pan, Vincent Vanhoucke
Online Video Object Segmentation via Convolutional Trident Network: Won-Dong Jang, Chang-Su Kim

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所有论文下载地址

http://openaccess.thecvf.com/content_cvpr_2017/papers/

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光流，liteflownetcode:mmflowCVPR20181.前言FlowNet2是最先进的光流估计卷积神经网络(CNN)，需要超过160M的参数来实现精确的流量估计。在本文中，我们提出了一种替代网络，它在Sintel和KITTI基准测试上优于FlowNet2，同时在模型尺寸上要小30倍，在运行速度上要快1.36倍。这是通过深入研究当前框架中可能被遗漏的架构细节而实现的：（1）我们通过轻量
大模型全军覆没，中科院自动化所推出多图数学推理新基准 | CVPR 2025 量子位
关注前沿科技量子位挑战多图数学推理新基准，大模型直接全军覆没？！事情是这样的。近日，中国科学院自动化研究所推出多图数学推理全新基准MV-MATH（该工作已被CVPR2025录用），这是一个精心策划的多图数学推理数据集，旨在全面评估MLLM（多模态大语言模型）在多视觉场景中的数学推理能力。结果评估下来发现，GPT-4o仅得分32.1，类o1模型QvQ得分29.3，所有模型均不及格。具体咋回事，下面接
NTIRE比赛：技术前沿、国内企业表现与计算机视觉未来展望 AndrewHZ 深度学习新浪潮计算机视觉人工智能深度学习调研报告算法 NTIRE 画质算法
一、NTIRE比赛概述：图像恢复与增强领域的全球竞技场1.1NTIRE的定位与历史NTIRE（NewTrendsinImageRestorationandEnhancement）是计算机视觉领域最具影响力的国际赛事之一，聚焦于图像恢复与增强技术的前沿探索。自2017年首次举办以来，NTIRE每年与计算机视觉顶会CVPR联合召开，成为学术界与工业界技术实力的重要展示平台。其竞赛内容涵盖图像超分辨率、
周报 | 25.3.3-25.3.9文章汇总双木的木大模型专栏深度学习拓展阅读人工智能 linux 服务器 deepseek llama YOLO transformer
为了更好地整理文章和发表接下来的文章，以后每周都汇总一份周报。周报|25.2.24-25.3.2文章汇总-CSDN博客Datawhale|最新「大模型简史」整理！从Transformer（2017）到DeepSeek-R1（2025）--建议收藏！-CSDN博客AI生成未来|CVPR2025|多模态六边形战士Magma：会点按钮会搬砖，标注竟让AI长出“时空大脑“_magma-8b-CSDN博客机
多宠识别：基于计算机视觉的智能宠物管理系统架构解析深圳市快瞳科技有限公司计算机视觉宠物系统架构
一、行业痛点与技术方案演进在多宠家庭场景中，传统方案面临三大技术瓶颈：1.生物特征混淆：同品种/毛色宠物识别准确率低于65%2.动态场景适应：进食/奔跑状态下的误检率达30%+3.数据孤岛问题：离线设备无法实现持续学习优化快瞳科技采用**双模态视觉融合架构**，结合轻量化YOLOv7-Tiny模型与CLIP多模态大模型，实现：-98.7%的跨品种宠物识别准确率（CVPR2024最新测试数据）-单次
医图论文 CVPR‘24 | OmniMedVQA：用于医学大型视觉语言模型的新型大规模综合评估基准小白学视觉医学图像处理论文解读语言模型人工智能自然语言处理 CVPR 医学图像处理论文解读深度学习
论文信息题目：OmniMedVQA:ANewLarge-ScaleComprehensiveEvaluationBenchmarkforMedicalLVLMOmniMedVQA：用于医学大型视觉语言模型的新型大规模综合评估基准作者：YutaoHu，TianbinLi，QuanfengLu，WenqiShao，JunjunHe，YuQiao，PingLuo源码：https://github.com
【YOLOv12改进trick】StarBlock引入YOLOv12，创新涨点优化，含创新点Python代码，方便发论文 zy_destiny YOLOv12及改进优化创新人工智能深度学习机器学习 YOLO 神经网络开发语言 python
改进模块：StarBlock解决问题：采用StarBlock将输入数据映射到一个极高维的非线性特征空间,生成丰富的特征表示，使得模型在处理复杂数据时更加有效。改进优势：简单粗暴的星型乘法涨点却很明显适用场景：目标检测、语义分割、自然语言处理等多种场景高效紧凑的模型，不适用于大模型思路来源：CVPR2024《RewritetheStars》目录1.设计动机2.启发来源3.将StarBlock引入YO
总理在政府工作报告中提到具身智能，so！这是个什么玩意？竟也能帮我发高分顶会前沿速递AI 具身智能 ai 人工智能
3月5日，李强总理在政府工作报告时提到，“将建立未来产业投入增长机制，培育生物制造、量子科技、具身智能、6G等未来产业”。在未来具身智能势必会有爆发式的发展。从学术研究的角度来看，具身智能已成为各大顶会的热门议题。以CVPR2025为例，具身智能成功跻身热门研究领域前三，充分展现了其重要性。那么总理提到的具身智能是个什么呢？目前，具身智能的研究主要集中在四个核心方向：具身感知、具身互动、具身智能体
VoVNet（2019 CVPR）刘若里论文阅读人工智能计算机视觉学习笔记网络
论文标题AnEnergyandGPU-ComputationEfficientBackboneNetworkforReal-TimeObjectDetection论文作者YoungwanLee,Joong-wonHwang,SangrokLee,YuseokBae,JongyoulPark发表日期2019年04月22日GB引用>LeeYoungwan,HwangJoong-won,LeeSangr
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks EwanRenton DL paper AttnGAN text2img CVPR 2018 DAMSM
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[特殊字符]【CVPR2024新突破】Logit标准化：知识蒸馏中的自适应温度革命[特殊字符] ☞黑心萝卜三条杠☜ 论文人工智能论文阅读
文章信息题目：LogitStandardizationinKnowledgeDistillation论文地址：paper代码地址：code年份：2024年发表于CVPR文章主题文章的核心目标是改进知识蒸馏（KD）中的一个关键问题：传统KD方法假设教师和学生模型共享一个全局温度参数（temperature），这导致学生模型需要精确匹配教师模型的logit范围和方差。这种假设不仅限制了学生模型的性能，
[Github推荐]CVPR2019录用论文下载及可视化论文网站 spearhead_cai 计算机视觉深度学习科研论文 CVPR Github 计算机视觉深度学习
简介CVPR是IEEEConferenceonComputerVisionandPatternRecognition的缩写，即IEEE国际计算机视觉与模式识别会议。该会议是由IEEE举办的计算机视觉和模式识别领域的顶级会议。它是IEEE一年一度的学术性会议，会议的主要内容是计算机视觉与模式识别技术。CVPR是世界顶级的计算机视觉会议（三大顶会之一，另外两个是ICCV和ECCV），本会议每年都会有固
51-29 CVPR 2024 | BEV-Planner：开环端到端自动驾驶中自车状态是你所需要的一切吗？深圳季连AIgraphX aiXpilot 智驾大模型1 自动驾驶人工智能机器学习智慧城市计算机视觉 AIGC
本论文是南京大学、英伟达最新CVPR2024工作。蛮幸运的，该论文提出了很多思考，证明了很多最优Paper在落地上车方面的无效性。咱们对待新方法能否成为自动驾驶的最佳实践要审慎。论文名称：IsEgoStatusAllYouNeedforOpen-LoopEnd-to-EndAutonomousDriving?论文链接：https://arxiv.org/abs/2312.03031.代码链接：ht
文章精读篇——用于遥感小样本语义分割的可学习Prompt LiXiang like coding吗学习 prompt 人工智能
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ShuffleNet V2（2018 CVPR）刘若里论文阅读深度学习人工智能学习计算机视觉笔记
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【CVPR 2021】Knowledge Review：知识蒸馏新解法 BIT可达鸭深度学习人工智能计算机视觉模型压缩知识蒸馏
【CVPR2021】KnowledgeReview：知识蒸馏新解法论文地址：主要问题：主要思路：符号假设：具体实现：实验结果：关注我的公众号：联系作者：论文地址：https://jiaya.me/papers/kdreview_cvpr21.pdf主要问题：目前大部分关于KD的方法都是基于相同层或者相同Block之间的知识迁移。但是Teacher往往深层表示抽象的语义信息，底层表示简单的知识的信息
51-54 CVPR 2024 | DrivingGaussian：周围动态自动驾驶场景的复合高斯飞溅（ Sora能制作动作大片还需要一段时间）深圳季连AIgraphX aiXpilot 智驾大模型1 自动驾驶 AIGC stable diffusion 智慧城市计算机视觉
24年3月，北大、谷歌和加州大学共同发布了DrivingGaussian:CompositeGaussianSplattingforSurroundingDynamicAutonomousDrivingScenes。视图合成和可控模拟可以生成自动驾驶的极端场景CornerCase，这些安全关键情况有助于以更低成本验证和增强自动驾驶系统安全性。DrivingGaussian采用复合高斯飞溅进行全局渲
51-31 CVPR’24 | VastGaussian，3D高斯大型场景重建深圳季连AIgraphX aiXpilot 智驾大模型1 自动驾驶智慧城市 AIGC 计算机视觉数据挖掘
2024年2月，清华大学、华为和中科院联合发布的VastGaussian模型，实现了基于3DGaussianSplatting进行大型场景高保真重建和实时渲染。Abstract现有基于NeRF大型场景重建方法，往往在视觉质量和渲染速度方面存在局限性。虽然最近3DGaussiansSpltting在小规模和以对象为中心的场景中效果很好，但由于视频内存有限、优化时间长、外观变化明显，将其扩展到大型场景
CVPR2023 Highlight | ECON：最新单图穿衣人三维重建SOTA算法 3Ｄ视觉工坊 3D视觉从入门到精通算法 SLAM 自动驾驶 3D视觉
作者：宁了个宁|来源：计算机视觉工坊在公众号「3D视觉工坊」后台，回复「原论文」可获取论文pdf。添加微信：dddvisiona，备注：三维重建，拉你入群。文末附行业细分群。图1所示。从彩色图像进行人体数字化。ECON结合了自由形式隐式表示的最佳方面，以及明确的拟人化正则化，以推断高保真度的3D人类，即使是宽松的衣服或具有挑战性的姿势。0.笔者个人体会这篇文章讨论了单图像的穿着人类重建问题。隐式方
CVPR‘24 | 百度开源DETRs在实时目标检测中胜过YOLOs 3Ｄ视觉工坊 3D视觉从入门到精通百度目标检测人工智能计算机视觉
点击下方卡片，关注「3D视觉工坊」公众号选择星标，干货第一时间送达来源：3D视觉工坊添加小助理：dddvision，备注：目标检测，拉你入群。文末附行业细分群论文题目：DETRsBeatYOLOsonReal-timeObjectDetection作者：WenyuLv,YianZhao等作者机构：BaiduInc.论文链接：https://arxiv.org/pdf/2304.08069.pdf代
CVPR2024最佳论文出炉！历年CVPR最佳论文盘点（2000 年—2024 年）沃恩智慧深度学习人工智能 CVPR 人工智能论文阅读深度学习
cvpr2024最佳论文出炉，本次论文可谓是万里挑一。作为计算机视觉领域的顶级学术会议CVPR，每年评选出的一篇或多篇最佳论文，不仅为计算机视觉领域的顶级学术荣誉，更代表了将对未来技术或行业发展产生重要影响的里程碑式研究成果。为了帮助大家对这批计算机领域的重要论文进行复习，沃恩智慧为大家精心整理了一份从2000年—2024年的CVPR最佳论文盘点。需要的同学关注公众号【沃的顶会】，回复“CVPR”
3dgs 2025 学习笔记 AI算法网奇 3d渲染学习笔记
CVPR20243D方向总汇包含（3DGS、三维重建、深度补全、深度估计、全景定位、表面重建和特征匹配等）_cvpr2024-structure-awaresparse-viewx-ray3dreconstr-CSDN博客https://github.com/apple/ml-hugs3DGSCOLMAP-Free3DGaussianSplatting⭐codeprojectFeature3DGS
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