ICCV 2015 papers on the web

Oral Session 1A - Vision and Language

Ask Your Neurons: A Neural-Based Approach to Answering Questions About Images (PDF, supplementary material, videos): Mateusz Malinowski, Marcus Rohrbach, Mario Fritz
Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing (PDF): Hamid Izadinia, Fereshteh Sadeghi, Santosh K. Divvala, Hannaneh Hajishirzi, Yejin Choi, Ali Farhadi
Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books (PDF, project,dataset): Yukun Zhu, Ryan Kiros, Rich Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, Sanja Fidler
Learning Query and Image Similarities With Ranking Canonical Correlation Analysis (PDF): Ting Yao, Tao Mei, Chong-Wah Ngo

Oral Session 1B - 3D Vision

Structured Indoor Modeling (PDF): Satoshi Ikehata, Hang Yang, Yasutaka Furukawa
3D Time-Lapse Reconstruction From Internet Photos (PDF): Ricardo Martin-Brualla, David Gallup, Steven M. Seitz
Global, Dense Multiscale Reconstruction for a Billion Points (PDF): Benjamin Ummenhofer, Thomas Brox
On the Visibility of Point Clouds (PDF): Sagi Katz, Ayellet Tal

Oral Session 2A - Segmentation, Edges and Saliency

Weakly Supervised Graph Based Semantic Segmentation by Learning Communities of Image-Parts (PDF): Niloufar Pourian, S. Karthikeyan, B.S. Manjunath
Piecewise Flat Embedding for Image Segmentation (PDF): Yizhou Yu, Chaowei Fang, Zicheng Liao
Semantic Image Segmentation via Deep Parsing Network (PDF): Ziwei Liu, Xiaoxiao Li, Ping Luo, Chen-Change Loy, Xiaoou Tang
Human Parsing With Contextualized Convolutional Neural Network (PDF): Xiaodan Liang, Chunyan Xu, Xiaohui Shen, Jianchao Yang, Si Liu, Jinhui Tang, Liang Lin, Shuicheng Yan
Holistically-Nested Edge Detection (PDF): Saining Xie, Zhuowen Tu
Minimum Barrier Salient Object Detection at 80 FPS (PDF): Jianming Zhang, Stan Sclaroff, Zhe Lin, Xiaohui Shen, Brian Price, Radomír Měch

Oral Session 2B - Learning Representations and Attributes

Learning Image Representations Tied to Ego-Motion (PDF): Dinesh Jayaraman, Kristen Grauman
Unsupervised Visual Representation Learning by Context Prediction (PDF): Carl Doersch, Abhinav Gupta, Alexei A. Efros
Webly Supervised Learning of Convolutional Networks (PDF): Xinlei Chen, Abhinav Gupta
Fast R-CNN (PDF): Ross Girshick
Bilinear CNN Models for Fine-Grained Visual Recognition (PDF): Tsung-Yu Lin, Aruni RoyChowdhury, Subhransu Maji
Discovering the Spatial Extent of Relative Attributes (PDF): Fanyi Xiao, Yong Jae Lee

Oral Session 2C - Statistical Methods and Learning

Deep Neural Decision Forests (PDF): Peter Kontschieder, Madalina Fiterau, Antonio Criminisi, Samuel Rota Bulò
Deep Fried Convnets (PDF): Zichao Yang, Marcin Moczulski, Misha Denil, Nando de Freitas, Alex Smola, Le Song, Ziyu Wang
Semantic Component Analysis: Calvin Murdock, Fernando De la Torre
Low-Rank Matrix Factorization Under General Mixture Noise Distributions (PDF): Xiangyong Cao, Yang Chen, Qian Zhao, Deyu Meng, Yao Wang, Dong Wang, Zongben Xu
Web-Scale Image Clustering Revisited (PDF): Yannis Avrithis, Yannis Kalantidis, Evangelos Anagnostopoulos, Ioannis Z. Emiris
Learning Discriminative Reconstructions for Unsupervised Outlier Removal: Yan Xia, Xudong Cao, Fang Wen, Gang Hua, Jian Sun

Oral Session 3A - Registration, Alignment and Stereo

Registering Images to Untextured Geometry Using Average Shading Gradients (PDF): Tobias Plötz, Stefan Roth
Robust Nonrigid Registration by Convex Optimization (PDF): Qifeng Chen, Vladlen Koltun
Robust and Optimal Sum-of-Squares-Based Point-to-Plane Registration of Image Sets and Structured Scenes (PDF): Danda Pani Paudel, Adlane Habed, Cédric Demonceaux, Pascal Vasseur
MeshStereo: A Global Stereo Model With Mesh Alignment Regularization for View Interpolation (PDF): Chi Zhang, Zhiwei Li, Yanhua Cheng, Rui Cai, Hongyang Chao, Yong Rui
CV-HAZOP: Introducing Test Data Validation for Computer Vision (PDF): Oliver Zendel, Markus Murschitz, Martin Humenberger, Wolfgang Herzner

Oral Session 3B - Representations for Recognition and Localization

3D-Assisted Feature Synthesis for Novel Views of an Object (PDF): Hao Su, Fan Wang, Eric Yi, Leonidas J. Guibas
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained With Rendered 3D Model Views (PDF): Hao Su, Charles R. Qi, Yangyan Li, Leonidas J. Guibas
Lost Shopping! Monocular Localization in Large Indoor Spaces (PDF): Shenlong Wang, Sanja Fidler, Raquel Urtasun
Camera Pose Voting for Large-Scale Image-Based Localization: Bernhard Zeisl, Torsten Sattler, Marc Pollefeys

Oral Session 3C - Vision and People

Training a Feedback Loop for Hand Pose Estimation (PDF): Markus Oberweger, Paul Wohlhart, Vincent Lepetit
Opening the Black Box: Hierarchical Sampling Optimization for Estimating Human Hand Pose (PDF): Danhang Tang, Jonathan Taylor, Pushmeet Kohli, Cem Keskin, Tae-Kyun Kim, Jamie Shotton
Panoptic Studio: A Massively Multiview System for Social Motion Capture (PDF, project, videos): Hanbyul Joo, Hao Liu, Lei Tan, Lin Gui, Bart Nabbe, Iain Matthews, Takeo Kanade, Shohei Nobuhara, Yaser Sheikh
Where to Buy It: Matching Street Clothing Photos in Online Shops (PDF): M. Hadi Kiapour, Xufeng Han, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg
Multi-Task Recurrent Neural Network for Immediacy Prediction: Xiao Chu, Wanli Ouyang, Wei Yang, Xiaogang Wang
Learning Complexity-Aware Cascades for Deep Pedestrian Detection: Zhaowei Cai, Mohammad Saberian, Nuno Vasconcelos

Oral Session 4A - Computational Photography and Image Enhancement

Polarized 3D: High-Quality Depth Sensing With Polarization Cues: Achuta Kadambi, Vage Taamazyan, Boxin Shi, Ramesh Raskar
Airborne Three-Dimensional Cloud Tomography: Aviad Levis, Yoav Y. Schechner, Amit Aides, Anthony B. Davis
Leave-One-Out Kernel Optimization for Shadow Detection: Tomas F. Yago Vicente, Minh Hoai, Dimitris Samaras
Removing Rain From a Single Image via Discriminative Sparse Coding: Yu Luo, Yong Xu, Hui Ji
Mutual-Structure for Joint Filtering: Xiaoyong Shen, Chao Zhou, Li Xu, Jiaya Jia

Oral Session 4B - Motion and Correspondence

SPM-BP: Sped-up PatchMatch Belief Propagation for Continuous MRFs (project, PDF): Yu Li, Dongbo Min, Michael S. Brown, Minh N. Do, Jiangbo Lu
Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation (PDF, supplementary material, software): Christian Bailer, Bertram Taetz, Didier Stricker
Dense Semantic Correspondence Where Every Pixel is a Classifier: Hilton Bristow, Jack Valmadre, Simon Lucey
Multi-Image Matching via Fast Alternating Minimization: Xiaowei Zhou, Menglong Zhu, Kostas Daniilidis

Oral Session 4C - Video: Actions, Surveillance and Tracking

Uncovering Interactions and Interactors: Joint Estimation of Head, Body Orientation and F-Formations From Surveillance Videos: Elisa Ricci, Jagannadan Varadarajan, Ramanathan Subramanian, Samuel Rota Bulò, Narendra Ahuja, Oswald Lanz
Generating Notifications for Missing Actions: Don't Forget to Turn the Lights Off!: Bilge Soran, Ali Farhadi, Linda Shapiro
Partial Person Re-Identification: Wei-Shi Zheng, Xiang Li, Tao Xiang, Shengcai Liao, Jianhuang Lai, Shaogang Gong
Shape Interaction Matrix Revisited and Robustified: Efficient Subspace Clustering With Corrupted and Incomplete Data: Pan Ji, Mathieu Salzmann, Hongdong Li
Multiple Hypothesis Tracking Revisited: Chanho Kim, Fuxin Li, Arridhana Ciptadi, James M. Rehg
Learning to Track: Online Multi-Object Tracking by Decision Making: Alexandre Alahi, Silvio Savarese, Yu Xiang

Poster Session 1A - Recognition, Low-Level Vision, and Biomedical Image Analysis

Learning to See by Moving (PDF): Pulkit Agrawal, Joao Carreira, Jitendra Malik
Object Detection Using Generalization and Efficiency Balanced Co-Occurrence Features (PDF): Haoyu Ren, Ze-Nian Li
Mining And-Or Graphs for Graph Matching and Object Discovery (PDF): Quanshi Zhang, Ying Nian Wu, Song-Chun Zhu
Pose Induction for Novel Object Categories (PDF): Shubham Tulsiani, João Carreira, Jitendra Malik
Dynamic Texture Recognition via Orthogonal Tensor Dictionary Learning (PDF): Yuhui Quan, Yan Huang, Hui Ji
Convolutional Channel Features (PDF): Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li
Local Convolutional Features With Unsupervised Training for Image Retrieval: Mattis Paulin, Matthijs Douze, Zaid Harchaoui, Julien Mairal, Florent Perronin, Cordelia Schmid
RIDE: Reversal Invariant Descriptor Enhancement (PDF): Lingxi Xie, Jingdong Wang, Weiyao Lin, Bo Zhang, Qi Tian
Discrete Tabu Search for Graph Matching (PDF): Kamil Adamczewski, Yumin Suh, Kyoung Mu Lee
Discriminative Learning of Deep Convolutional Feature Point Descriptors (PDF): Edgar Simo-Serra, Eduard Trulls, Luis Ferraz, Iasonas Kokkinos, Pascal Fua, Francesc Moreno-Noguer
Amodal Completion and Size Constancy in Natural Scenes (PDF): Abhishek Kar, Shubham Tulsiani, Joao Carreira, Jitendra Malik
Learning Where to Position Parts in 3D (PDF): Marco Pedersoli, Tinne Tuytelaars
Query Adaptive Similarity Measure for RGB-D Object Recognition (PDF): Yanhua Cheng, Rui Cai, Chi Zhang, Zhiwei Li, Xin Zhao, Kaiqi Huang, Yong Rui
Listening With Your Eyes: Towards a Practical Visual Speech Recognition System Using Deep Boltzmann Machines (PDF): Chao Sui, Mohammed Bennamoun, Roberto Togneri
Cluster-Based Point Set Saliency (PDF): Flora Ponjou Tasse, Jiri Kosinka, Neil Dodgson
A Comprehensive Multi-Illuminant Dataset for Benchmarking of the Intrinsic Image Algorithms: Shida Beigpour, Andreas Kolb, Sven Kunz
PatchMatch-Based Automatic Lattice Detection for Near-Regular Textures (PDF): Siying Liu, Tian-Tsong Ng, Kalyan Sunkavalli, Minh N. Do, Eli Shechtman, Nathan Carr
A Data-Driven Metric for Comprehensive Evaluation of Saliency Models (PDF): Jia Li, Changqun Xia, Yafei Song, Shu Fang, Xiaowu Chen
A Matrix Decomposition Perspective to Multiple Graph Matching (PDF): Junchi Yan, Hongteng Xu, Hongyuan Zha, Xiaokang Yang, Huanxi Liu, Stephen Chu
Fast and Effective L0 Gradient Minimization by Region Fusion (PDF): Rang M. H. Nguyen, Michael S. Brown
Generic Promotion of Diffusion-Based Salient Object Detection (PDF): Peng Jiang, Nuno Vasconcelos, Jingliang Peng
Nighttime Haze Removal With Glow and Multiple Light Colors (PDF): Yu Li, Robby T. Tan, Michael S. Brown
Conformal and Low-Rank Sparse Representation for Image Restoration (PDF): Jianwei Li, Xiaowu Chen, Dongqing Zou, Bo Gao, Wei Teng
Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising (PDF, supplementary material, code): Jun Xu, Lei Zhang, Wangmeng Zuo, David Zhang, Xiangchu Feng
Automatic Thumbnail Generation Based on Visual Representativeness and Foreground Recognizability: Jingwei Huang, Huarong Chen, Bin Wang, Stephen Lin
SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks (PDF): Xun Huang, Chengyao Shen, Xavier Boix, Qi Zhao
A Novel Sparsity Measure for Tensor Recovery (PDF): Qian Zhao, Deyu Meng, Xu Kong, Qi Xie, Wenfei Cao, Yao Wang, Zongben Xu
Oriented Object Proposals (PDF): Shengfeng He, Rynson W.H. Lau
Learning Nonlinear Spectral Filters for Color Image Reconstruction (PDF): Michael Moeller, Julia Diebold, Guy Gilboa, Daniel Cremers
Beyond White: Ground Truth Colors for Color Constancy Correction (PDF): Dongliang Cheng, Brian Price, Scott Cohen, Michael S. Brown
RGB-Guided Hyperspectral Image Upsampling: Hyeokhyen Kwon, Yu-Wing Tai
Projection Onto the Manifold of Elongated Structures for Accurate Extraction (PDF): Amos Sironi, Vincent Lepetit, Pascal Fua
Naive Bayes Super-Resolution Forest: Jordi Salvador, Eduardo Pérez-Pellitero
POP Image Fusion - Derivative Domain Image Fusion Without Reintegration (PDF): Graham D. Finlayson, Alex E. Hayes
Adaptive Spatial-Spectral Dictionary Learning for Hyperspectral Image Denoising: Ying Fu, Antony Lam, Imari Sato, Yoichi Sato
Fully Connected Guided Image Filtering: Longquan Dai, Mengke Yuan, Feihu Zhang, Xiaopeng Zhang
Segment Graph Based Image Filtering: Fast Structure-Preserving Smoothing (PDF): Feihu Zhang, Longquan Dai, Shiming Xiang, Xiaopeng Zhang
Deep Networks for Image Super-Resolution With Sparse Prior (PDF): Zhaowen Wang, Ding Liu, Jianchao Yang, Wei Han, Thomas Huang
Convolutional Color Constancy (PDF): Jonathan T. Barron
Learning Ordinal Relationships for Mid-Level Vision (PDF): Daniel Zoran, Phillip Isola, Dilip Krishnan, William T. Freeman
Thin Structure Estimation With Curvature Regularization (PDF): Dmitrii Marin, Yuchen Zhong, Maria Drangova, Yuri Boykov
HARF: Hierarchy-Associated Rich Features for Salient Object Detection (PDF): Wenbin Zou, Nikos Komodakis
Deep Colorization (PDF): Zezhou Cheng, Qingxiong Yang, Bin Sheng
Image Matting With KL-Divergence Based Sparse Sampling (PDF): Levent Karacan, Aykut Erdem, Erkut Erdem
Intrinsic Decomposition of Image Sequences From Local Temporal Variations (PDF): Pierre-Yves Laffont, Jean-Charles Bazin
Low-Rank Tensor Approximation With Laplacian Scale Mixture Modeling for Multiframe Image Denoising (PDF): Weisheng Dong, Guangyu Li, Guangming Shi, Xin Li, Yi Ma
Learning Parametric Distributions for Image Super-Resolution: Where Patch Matching Meets Sparse Coding (PDF): Yongbo Li, Weisheng Dong, Guangming Shi, Xuemei Xie
Improving Image Restoration With Soft-Rounding (PDF): Xing Mei, Honggang Qi, Bao-Gang Hu, Siwei Lyu
See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG (PDF): Wei-Chen Chiu, Mario Fritz
An Efficient Statistical Method for Image Noise Level Estimation (PDF): Guangyong Chen, Fengyuan Zhu, Pheng Ann Heng
Contour Detection and Characterization for Asynchronous Event Sensors (PDF): Francisco Barranco, Ching L. Teo, Cornelia Fermüller, Yiannis Aloimonos
Class-Specific Image Deblurring: Saeed Anwar, Cong Phuoc Huynh, Fatih Porikli
High-for-Low and Low-for-High: Efficient Boundary Detection From Deep Object Features and its Applications to High-Level Vision (PDF): Gedas Bertasius, Jianbo Shi, Lorenzo Torresani
Variational Depth Superresolution Using Example-Based Edge Representations (PDF): David Ferstl, Matthias Rüther, Horst Bischof
Conditioned Regression Models for Non-Blind Single Image Super-Resolution (PDF): Gernot Riegler, Samuel Schulter, Matthias Rüther, Horst Bischof
Video Super-Resolution via Deep Draft-Ensemble Learning (PDF): Renjie Liao, Xin Tao, Ruiyu Li, Ziyang Ma, Jiaya Jia
Pan-Sharpening With a Hyper-Laplacian Penalty (PDF,dataset): Yiyong Jiang, Xinghao Ding, Delu Zeng, Yue Huang, John Paisley
Video Restoration Against Yin-Yang Phasing: Xiaolin Wu, Zhenhao Li, Xiaowei Deng
Rolling Shutter Super-Resolution (PDF): Abhijith Punnappurath, Vijay Rengarajan, A.N. Rajagopalan
Learning Large-Scale Automatic Image Colorization (PDF): Aditya Deshpande, Jason Rock, David Forsyth
Compression Artifacts Reduction by a Deep Convolutional Network: Chao Dong, Yubin Deng, Chen Change Loy, Xiaoou Tang
Multiple-Hypothesis Affine Region Estimation With Anisotropic LoG Filters: Takahiro Hasegawa, Mitsuru Ambai, Kohta Ishikawa, Gou Koutaki, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi
A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection: Dingwen Zhang, Deyu Meng, Chao Li, Lu Jiang, Qian Zhao, Junwei Han
External Patch Prior Guided Internal Clustering for Image Denoising (PDF): Fei Chen, Lei Zhang, Huimin Yu
Illumination Robust Color Naming via Label Propagation: Yuanliu liu, Zejian Yuan, Badong Chen, Jianru Xue, Nanning Zheng
Unsupervised Cross-Modal Synthesis of Subject-Specific Scans (PDF): Raviteja Vemulapalli, Hien Van Nguyen, Shaohua Kevin Zhou
Learning to Boost Filamentary Structure Segmentation (PDF): Lin Gu, Li Cheng
Weakly-Supervised Structured Output Learning With Flexible and Latent Graphs Using High-Order Loss Functions (PDF): Gustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab
Efficient Classifier Training to Minimize False Merges in Electron Microscopy Segmentation: Toufiq Parag, Dan C. Ciresan, Alessandro Giusti
On Statistical Analysis of Neuroimages With Imperfect Registration (PDF): Won Hwa Kim, Sathya N. Ravi, Sterling C. Johnson, Ozioma C. Okonkwo, Vikas Singh

Special Session 1A - Plenary Session

Convex Optimization With Abstract Linear Operators (PDF): Steven Diamond, Stephen Boyd

Poster Session 1B - Recognition and 3D Computer Vision I

Building Dynamic Cloud Maps From the Ground Up (PDF): Calvin Murdock, Nathan Jacobs, Robert Pless
A Versatile Learning-Based 3D Temporal Tracker: Scalable, Robust, Online (PDF): David Joseph Tan, Federico Tombari, Slobodan Ilic, Nassir Navab
Realtime Edge-Based Visual Odometry for a Monocular Camera (PDF): Juan José Tarrio, Sol Pedre
Fill and Transfer: A Simple Physics-Based Approach for Containability Reasoning (PDF): Lap-Fai Yu, Noah Duncan, Sai-Kit Yeung
On Linear Structure From Motion for Light Field Cameras: Ole Johannsen, Antonin Sulc, Bastian Goldluecke
3D Object Reconstruction From Hand-Object Interactions (PDF): Dimitrios Tzionas, Juergen Gall
Minimal Solvers for 3D Geometry From Satellite Imagery: Enliang Zheng, Ke Wang, Enrique Dunn, Jan-Michael Frahm
An Efficient Minimal Solution for Multi-Camera Motion: Jonathan Ventura, Clemens Arth, Vincent Lepetit
Learning Shape, Motion and Elastic Models in Force Space: Antonio Agudo, Francesc Moreno-Noguer
A Versatile Scene Model With Differentiable Visibility Applied to Generative Pose Estimation (PDF, project, videos, supplementary material): Helge Rhodin, Nadia Robertini, Christian Richardt, Hans-Peter Seidel, Christian Theobalt
Semantic Pose Using Deep Networks Trained on Synthetic RGB-D: Jeremie Papon, Markus Schoeler
Exploiting High Level Scene Cues in Stereo Reconstruction: Simon Hadfield, Richard Bowden
Point Triangulation Through Polyhedron Collapse Using the l∞ Norm: Simon Donné, Bart Goossens, Wilfried Philips
Optimizing the Viewing Graph for Structure-From-Motion: Chris Sweeney, Torsten Sattler, Tobias Höllerer, Matthew Turk, Marc Pollefeys
Intrinsic Scene Decomposition From RGB-D images: Mohammed Hachama, Bernard Ghanem, Peter Wonka
3D Hand Pose Estimation Using Randomized Decision Forest With Segmentation Index Points: Peiyi Li, Haibin Ling, Xi Li, Chunyuan Liao
Accurate Camera Calibration Robust to Defocus Using a Smartphone: Hyowon Ha, Yunsu Bok, Kyungdon Joo, Jiyoung Jung, In So Kweon
High Quality Structure From Small Motion for Rolling Shutter Cameras: Sunghoon Im, Hyowon Ha, Gyeongmin Choe, Hae-Gon Jeon, Kyungdon Joo, In So Kweon
Photogeometric Scene Flow for High-Detail Dynamic 3D Reconstruction: Paulo F. U. Gotardo, Tomas Simon, Yaser Sheikh, Iain Matthews
Blur-Aware Disparity Estimation From Defocus Stereo Images: Ching-Hui Chen, Hui Zhou, Timo Ahonen
Global Structure-From-Motion by Similarity Averaging: Zhaopeng Cui, Ping Tan
Massively Parallel Multiview Stereopsis by Surface Normal Diffusion (project, code): Silvano Galliani, Katrin Lasinger, Konrad Schindler
Variational PatchMatch MultiView Reconstruction and Refinement: Philipp Heise, Brian Jensen, Sebastian Klose, Alois Knoll
As-Rigid-As-Possible Volumetric Shape-From-Template: Shaifali Parashar, Daniel Pizarro, Adrien Bartoli, Toby Collins
General Dynamic Scene Reconstruction From Multiple View Video: Armin Mustafa, Hansung Kim, Jean-Yves Guillemaut, Adrian Hilton
The Joint Image Handbook: Matthew Trager, Martial Hebert, Jean Ponce
Direct, Dense, and Deformable: Template-Based Non-Rigid 3D Reconstruction From RGB Video: Rui Yu, Chris Russell, Neill D. F. Campbell, Lourdes Agapito
Single Image Pop-Up From Discriminatively Learned Parts: Menglong Zhu, Xiaowei Zhou, Kostas Daniilidis
Learning Informative Edge Maps for Indoor Scene Layout Prediction: Arun Mallya, Svetlana Lazebnik
Multi-View Convolutional Neural Networks for 3D Shape Recognition: Hang Su, Subhransu Maji, Evangelos Kalogerakis, Erik Learned-Miller
Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images: Alexander Krull, Eric Brachmann, Frank Michel, Michael Ying Yang, Stefan Gumhold, Carsten Rother
3D Surface Profilometry Using Phase Shifting of De Bruijn Pattern: Matea Ðonlić, Tomislav Petković, Tomislav Pribanić
A Deep Visual Correspondence Embedding Model for Stereo Matching Costs: Zhuoyuan Chen, Xun Sun, Liang Wang, Yinan Yu, Chang Huang
Learning Concept Embeddings With Combined Human-Machine Expertise: Michael Wilber, Iljung S. Kwak, David Kriegman, Serge Belongie
Deep Multi-Patch Aggregation Network for Image Style, Aesthetics, and Quality Estimation: Xin Lu, Zhe Lin, Xiaohui Shen, Radomír Měch, James Z. Wang
Towards Computational Baby Learning: A Weakly-Supervised Approach for Object Detection: Xiaodan Liang, Si Liu, Yunchao Wei, Luoqi Liu, Liang Lin, Shuicheng Yan
Improving Image Classification With Location Context: Kevin Tang, Manohar Paluri, Li Fei-Fei, Rob Fergus, Lubomir Bourdev
HICO: A Benchmark for Recognizing Human-Object Interactions in Images: Yu-Wei Chao, Zhan Wang, Yugeng He, Jiaxuan Wang, Jia Deng
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification: Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
Continuous Pose Estimation With a Spatial Ensemble of Fisher Regressors (PDF): Michele Fenzi, Laura Leal-Taixe, Joern Ostermann, Tinne Tuytelaars
Adaptive Hashing for Fast Similarity Search: Fatih Cakir, Stan Sclaroff
Single Image 3D Without a Single 3D Image: David F. Fouhey, Wajahat Hussain, Abhinav Gupta, Martial Hebert
Cross-Domain Image Retrieval With a Dual Attribute-Aware Ranking Network: Junshi Huang, Rogerio S. Feris, Qiang Chen, Shuicheng Yan
Attribute-Graph: A Graph Based Approach to Image Ranking: Nikita Prabhu, R. Venkatesh Babu
Contextual Action Recognition With R*CNN: Georgia Gkioxari, Ross Girshick, Jitendra Malik
What Makes an Object Memorable?: Rachit Dubey, Joshua Peterson, Aditya Khosla, Ming-Hsuan Yang, Bernard Ghanem
kNN Hashing With Factorized Neighborhood Representation: Kun Ding, Chunlei Huo, Bin Fan, Chunhong Pan
Multi-View Complementary Hash Tables for Nearest Neighbor Search: Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu, Bo Lang
Scalable Person Re-Identification: A Benchmark: Liang Zheng, Liyue Shen, Lu Tian, Shengjin Wang, Jingdong Wang, Qi Tian
MMSS: Multi-Modal Sharable and Specific Feature Learning for RGB-D Object Recognition: Anran Wang, Jianfei Cai, Jiwen Lu, Tat-Jen Cham
Object Detection via a Multi-Region and Semantic Segmentation-Aware CNN Model: Spyros Gidaris, Nikos Komodakis
Neural Activation Constellations: Unsupervised Part Model Discovery With Convolutional Networks: Marcel Simon, Erik Rodner
Cascaded Sparse Spatial Bins for Efficient and Effective Generic Object Detection: David Novotny, Jiří Matas
Probabilistic Label Relation Graphs With Ising Models: Nan Ding, Jia Deng, Kevin P. Murphy, Hartmut Neven
Predicting Good Features for Image Geo-Localization Using Per-Bundle VLAD: Hyo Jin Kim, Enrique Dunn, Jan-Michael Frahm
Task-Driven Feature Pooling for Image Classification: Guo-Sen Xie, Xu-Yao Zhang, Xiangbo Shu, Shuicheng Yan, Cheng-Lin Liu
Cutting Edge: Soft Correspondences in Multimodal Scene Parsing: Sarah Taghavi Namin, Mohammad Najafi, Mathieu Salzmann, Lars Petersson
One Shot Learning via Compositions of Meaningful Patches: Alex Wong, Alan L. Yuille
FASText: Efficient Unconstrained Scene Text Detector: Michal Bušta, Lukáš Neumann, Jiří Matas
Multi-Scale Recognition With DAG-CNNs: Songfan Yang, Deva Ramanan
Relaxed Multiple-Instance SVM With Application to Object Discovery: Xinggang Wang, Zhuotun Zhu, Cong Yao, Xiang Bai
Im2Calories: Towards an Automated Mobile Vision Food Diary: Nick Johnston, Austin Meyers, Vivek Rathod, Anoop Korattikara, Alex Gorban, Nathan Silberman, Sergio Guadarrama, George Papandreou, Jonathan Huang, Kevin P. Murphy
LEWIS: Latent Embeddings for Word Images and their Semantics: Albert Gordo, Jon Almazán, Naila Murray, Florent Perronin
Per-Sample Kernel Adaptation for Visual Recognition and Grouping: Borislav Antic, Björn Ommer
Fine-Grained Change Detection of Misaligned Scenes With Varied Illuminations: Wei Feng, Fei-Peng Tian, Qian Zhang, Nan Zhang, Liang Wan, Jizhou Sun
Aggregating Local Deep Features for Image Retrieval: Artem Babenko, Victor Lempitsky
Learning Deep Object Detectors From 3D Models: Xingchao Peng, Baochen Sun, Karim Ali, Kate Saenko
Harvesting Discriminative Meta Objects With Deep CNN Features for Scene Classification: Ruobing Wu, Baoyuan Wang, Wenping Wang, Yizhou Yu
Scalable Nonlinear Embeddings for Semantic Category-Based Image Retrieval: Gaurav Sharma, Bernt Schiele
Person Re-Identification Ranking Optimisation by Discriminant Context Information Analysis: Jorge García, Niki Martinel, Christian Micheloni, Alfredo Gardel
Unsupervised Generation of a Viewpoint Annotated Car Dataset From Videos: Nima Sedaghat, Thomas Brox

Poster Session 2A - Optimization, Segmentation, and Recognition

Learning Deconvolution Network for Semantic Segmentation: Hyeonwoo Noh, Seunghoon Hong, Bohyung Han
Conditional Random Fields as Recurrent Neural Networks: Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, Philip H. S. Torr
The One Triangle Three Parallelograms Sampling Strategy and Its Application in Shape Regression: Mikael Nilsson
Boosting Object Proposals: From Pascal to COCO (project, code, PDF): Jordi Pont-Tuset (ETHZ CVL), Luc Van Gool (ETHZ CVL)
Secrets of GrabCut and Kernel K-Means: Meng Tang, Ismail Ben Ayed, Dmitrii Marin, Yuri Boykov
Video Matting via Sparse and Low-Rank Representation: Dongqing Zou, Xiaowu Chen, Guangying Cao, Xiaogang Wang
Joint Object and Part Segmentation Using Deep Learned Potentials: Peng Wang, Xiaohui Shen, Zhe Lin, Scott Cohen, Brian Price, Alan L. Yuille
Low-Rank Tensor Constrained Multiview Subspace Clustering: Changqing Zhang, Huazhu Fu, Si Liu, Guangcan Liu, Xiaochun Cao
BodyPrint: Pose Invariant 3D Shape Matching of Human Bodies: Jiangping Wang, Kai Ma, Vivek Kumar Singh, Thomas Huang, Terrence Chen
The Middle Child Problem: Revisiting Parametric Min-Cut and Seeds for Object Proposals: Ahmad Humayun, Fuxin Li, James M. Rehg
Contour Guided Hierarchical Model for Shape Matching: Yuanqi Su, Yuehu Liu, Bonan Cuan, Nanning Zheng
Robust Image Segmentation Using Contour-Guided Color Palettes: Xiang Fu, Chien-Yi Wang, Chen Chen, Changhu Wang, C.-C. Jay Kuo
Joint Optimization of Segmentation and Color Clustering: Ekaterina Lobacheva, Olga Veksler, Yuri Boykov
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation: Jifeng Dai, Kaiming He, Jian Sun
Detection and Segmentation of 2D Curved Reflection Symmetric Structures: Ching L. Teo, Cornelia Fermüller, Yiannis Aloimonos
Unsupervised Tube Extraction Using Transductive Learning and Dense Trajectories: Mihai Marian Puscas, Enver Sangineto, Dubravko Culibrk, Nicu Sebe
Compositional Hierarchical Representation of Shape Manifolds for Classification of Non-Manifold Shapes: Mete Ozay, Umit Rusen Aktas, Jeremy L. Wyatt, Aleš Leonardis
Shell PCA: Statistical Shape Modelling in Shell Space: Chao Zhang, Behrend Heeren, Martin Rumpf, William A. P. Smith
Learning to Combine Mid-Level Cues for Object Proposal Generation: Tom Lee, Sanja Fidler, Sven Dickinson
Enhancing Road Maps by Parsing Aerial Images Around the World: Gellért Máttyus, Shenlong Wang, Sanja Fidler, Raquel Urtasun
Probabilistic Appearance Models for Segmentation and Classification: Julia Krüger, Jan Ehrhardt, Heinz Handels
A Randomized Ensemble Approach to Industrial CT Segmentation: Hyojin Kim, Jayaraman Jayaraman J. Thiagarajan, Peer-Timo Bremer
Semi-Supervised Normalized Cuts for Image Segmentation: Selene E. Chew, Nathan D. Cahill
StereoSnakes: Contour Based Consistent Object Extraction For Stereo Images: Ran Ju, Tongwei Ren, Gangshan Wu
Semantic Segmentation of RGBD Images With Mutex Constraints (PDF): Zhuo Deng, Sinisa Todorovic, Longin Jan Latecki
Weakly- and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation: George Papandreou, Liang-Chieh Chen, Kevin P. Murphy, Alan L. Yuille
Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts: Margret Keuper, Evgeny Levinkov, Nicolas Bonneel, Guillaume Lavoué, Thomas Brox, Björn Andres
Parsimonious Labeling: Puneet K. Dokania, M. Pawan Kumar
Volumetric Bias in Segmentation and Reconstruction: Secrets and Solutions: Yuri Boykov, Hossam Isack, Carl Olsson, Ismail Ben Ayed
Entropy Minimization for Convex Relaxation Approaches: Mohamed Souiai, Martin R. Oswald, Youngwook Kee, Junmo Kim, Marc Pollefeys, Daniel Cremers
Adaptively Unified Semi-Supervised Dictionary Learning With Active Points: Xiaobo Wang, Xiaojie Guo, Stan Z. Li
Constrained Convolutional Neural Networks for Weakly Supervised Segmentation: Deepak Pathak, Philipp KrÃ¤henbÃ¼hl, Trevor Darrell
A Multiscale Variable-Grouping Framework for MRF Energy Minimization: Omer Meir, Meirav Galun, Stav Yagev, Ronen Basri, Irad Yavneh
Inferring M-Best Diverse Labelings in a Single One: Alexander Kirillov, Bogdan Savchynskyy, Dmitrij Schlesinger, Dmitry Vetrov, Carsten Rother
Convolutional Sparse Coding for Image Super-Resolution (PDF): Shuhang Gu, Wangmeng Zuo, Qi Xie, Deyu Meng, Xiangchu Feng, Lei Zhang
A Wavefront Marching Method for Solving the Eikonal Equation on Cartesian Grids: Brais Cancela, Marcos Ortega, Manuel G. Penedo
A Projection Free Method for Generalized Eigenvalue Problem With a Nonsmooth Regularizer: Seong Jae Hwang, Maxwell D. Collins, Sathya N. Ravi, Vamsi K. Ithapu, Nagesh Adluru, Sterling C. Johnson, Vikas Singh
Optimizing Expected Intersection-Over-Union With Candidate-Constrained CRFs: Faruk Ahmed, Dany Tarlow, Dhruv Batra
Higher-Order Inference for Multi-Class Log-Supermodular Models: Jian Zhang, Josip Djolonga, Andreas Krause
Depth-Based Hand Pose Estimation: Data, Methods, and Challenges: James S. Supančič III, Grégory Rogez, Yi Yang, Jamie Shotton, Deva Ramanan
Adaptive Dither Voting for Robust Spatial Verification (PDF): Xiaomeng Wu, Kunio Kashino
Alternating Co-Quantization for Cross-Modal Hashing: Go Irie, Hiroyuki Arai, Yukinobu Taniguchi
Learning Deep Representation With Large-Scale Attributes: Wanli Ouyang, Hongyang Li, Xingyu Zeng, Xiaogang Wang
Deep Learning Strong Parts for Pedestrian Detection: Yonglong Tian, Ping Luo, Xiaogang Wang, Xiaoou Tang
Flowing ConvNets for Human Pose Estimation in Videos: Tomas Pfister, James Charles, Andrew Zisserman
Top Rank Supervised Binary Coding for Visual Search: Dongjin Song, Wei Liu, Rongrong Ji, David A. Meyer, John R. Smith
BubbLeNet: Foveated Imaging for Visual Discovery: Kevin Matzen, Noah Snavely
PQTable: Fast Exact Asymmetric Distance Neighbor Search for Product Quantization Using Hash Tables: Yusuke Matsui, Toshihiko Yamasaki, Kiyoharu Aizawa
Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions: Sven Bambach, Stefan Lee, David J. Crandall, Chen Yu
Fast and Accurate Head Pose Estimation via Random Projection Forests: Donghoon Lee, Ming-Hsuan Yang, Songhwai Oh
An MRF-Poselets Model for Detecting Highly Articulated Humans (PDF): Duc Thanh Nguyen, Minh-Khoi Tran, Sai-Kit Yeung
Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation (PDF): Lianrui Fu, Junge Zhang, Kaiqi Huang
Relaxing From Vocabulary: Robust Weakly-Supervised Deep Learning for Vocabulary-Free Image Tagging: Jianlong Fu, Yue Wu, Tao Mei, Jinqiao Wang, Hanqing Lu, Yong Rui
Visual Phrases for Exemplar Face Detection: Vijay Kumar, Anoop Namboodiri, C. V. Jawahar
Spatial Semantic Regularisation for Large Scale Object Detection (PDF): Damian Mrowca, Marcus Rohrbach, Judy Hoffman, Ronghang Hu, Kate Saenko, Trevor Darrell
Human Pose Estimation in Videos: Dong Zhang, Mubarak Shah
Contour Box: Rejecting Object Proposals Without Explicit Closed Contours (PDF): Cewu Lu, Shu Liu, Jiaya Jia, Chi-Keung Tang

Poster Session 3A - Recognition and 3D Computer Vision II

Structure From Motion Using Structure-Less Resection: Enliang Zheng, Changchang Wu
Joint Camera Clustering and Surface Segmentation for Large-Scale Multi-View Stereo: Runze Zhang, Shiwei Li, Tian Fang, Siyu Zhu, Long Quan
Higher-Order CRF Structural Segmentation of 3D Reconstructed Surfaces: Jingbo Liu, Jinglu Wang, Tian Fang, Chiew-Lan Tai, Long Quan
Hyperpoints and Fine Vocabularies for Large-Scale Location Recognition: Torsten Sattler, Michal Havlena, Filip Radenović, Konrad Schindler, Marc Pollefeys
Globally Optimal 2D-3D Registration From Points or Lines Without Correspondences: Mark Brown, David Windridge, Jean-Yves Guillemaut
The HCI Stereo Metrics: Geometry-Aware Performance Analysis of Stereo Algorithms (PDF): Katrin Honauer, Lena Maier-Hein, Daniel Kondermann
Merging the Unmatchable: Stitching Visually Disconnected SfM Models (PDF): Andrea Cohen, Torsten Sattler, Marc Pollefeys
3D Fragment Reassembly Using Integrated Template Guidance and Fracture-Region Matching (PDF): Kang Zhang, Wuyi Yu, Mary Manhein, Warren Waggenspack, Xin Li
Procedural Editing of 3D Building Point Clouds (PDF, supplementary material, videos, project): Ilke Demir (Purdue University), Daniel G. Aliaga (Purdue University), Bedrich Benes (Purdue University)
Semantically-Aware Aerial Reconstruction From Multi-Modal Data (PDF, supplementary material, poster, videos, project, code, dataset, bibtex): Randi Cabezas, Julian Straub, John W. Fisher III
Guaranteed Outlier Removal for Rotation Search: Álvaro Parra Bustos, Tat-Jun Chin
Peeking Template Matching for Depth Extension: Simon Korman, Eyal Ofek, Shai Avidan
Deformable 3D Fusion: From Partial Dynamic 3D Observations to Complete 4D Models: Weipeng Xu, Mathieu Salzmann, Yongtian Wang, Yue Liu
Non-Parametric Structure-Based Calibration of Radially Symmetric Cameras: Federico Camposeco, Torsten Sattler, Marc Pollefeys
Exploiting Object Similarity in 3D Reconstruction: Chen Zhou, Fatma Güney, Yizhou Wang, Andreas Geiger
You Are Here: Mimicking the Human Thinking Process in Reading Floor-Plans (PDF): Hang Chu, Dong Ki Kim, Tsuhan Chen
MAP Disparity Estimation Using Hidden Markov Trees: Eric T. Psota, Jędrzej Kowalczuk, Mateusz Mittek, Lance C. Pérez
Wide Baseline Stereo Matching With Convex Bounded Distortion Constraints: Meirav Galun, Tal Amir, Tal Hassner, Ronen Basri, Yaron Lipman
Interactive Visual Hull Refinement for Specular and Transparent Object Surface Reconstruction: Xinxin Zuo, Chao Du, Sen Wang, Jiangbin Zheng, Ruigang Yang
Hierarchical Higher-Order Regression Forest Fields: An Application to 3D Indoor Scene Labelling: Trung T. Pham, Ian Reid, Yasir Latif, Stephen Gould
Classical Scaling Revisited: Gil Shamai, Yonathan Aflalo, Michael Zibulevsky, Ron Kimmel
Dense Continuous-Time Tracking and Mapping With Rolling Shutter RGB-D Cameras: Christian Kerl, Jörg Stückler, Daniel Cremers
Dense Image Registration and Deformable Surface Reconstruction in Presence of Occlusions and Minimal Texture: Dat Tien Ngo, Sanghyuk Park, Anne Jorstad, Alberto Crivellaro, Chang D. Yoo, Pascal Fua
Reflection Modeling for Passive Stereo: Rahul Nair, Andrew Fitzgibbon, Daniel Kondermann, Carsten Rother
Detailed Full-Body Reconstructions of Moving People From Monocular RGB-D Sequences: Federica Bogo, Michael J. Black, Matthew Loper, Javier Romero
Efficient Solution to the Epipolar Geometry for Radially Distorted Cameras: Zuzana Kukelova, Jan Heller, Martin Bujnak, Andrew Fitzgibbon, Tomas Pajdla
Learning a Descriptor-Specific 3D Keypoint Detector: Samuele Salti, Federico Tombari, Riccardo Spezialetti, Luigi Di Stefano
Component-Wise Modeling of Articulated Objects: Valsamis Ntouskos, Marta Sanzari, Bruno Cafaro, Federico Nardi, Fabrizio Natola, Fiora Pirri, Manuel Ruiz
A Collaborative Filtering Approach to Real-Time Hand Pose Estimation: Chiho Choi, Ayan Sinha, Joon Hee Choi, Sujin Jang, Karthik Ramani
On the Equivalence of Moving Entrance Pupil and Radial Distortion for Camera Calibration: Avinash Kumar, Narendra Ahuja
A Linear Generalized Camera Calibration From Three Intersecting Reference Planes: Mai Nishimura, Shohei Nobuhara, Takashi Matsuyama, Shinya Shimizu, Kensaku Fujii
Towards Pointless Structure From Motion: 3D Reconstruction and Camera Parameters From General 3D Curves: Irina Nurutdinova, Andrew Fitzgibbon
Attributed Grammars for Joint Estimation of Human Attributes, Part and Pose (PDF): Seyoung Park, Song-Chun Zhu
Real-Time Pose Estimation Piggybacked on Object Detection: Roman Juránek, Adam Herout, Markéta Dubská, Pavel Zemčík
Understanding and Predicting Image Memorability at a Large Scale: Aditya Khosla, Akhil S. Raju, Antonio Torralba, Aude Oliva
Multiple Granularity Descriptors for Fine-Grained Categorization: Dequan Wang, Zhiqiang Shen, Jie Shao, Wei Zhang, Xiangyang Xue, Zheng Zhang
Guiding the Long-Short Term Memory Model for Image Caption Generation: Xu Jia, Efstratios Gavves, Basura Fernando, Tinne Tuytelaars
Just Noticeable Differences in Visual Attributes: Aron Yu, Kristen Grauman
VQA: Visual Question Answering: Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh
Localize Me Anywhere, Anytime: A Multi-Task Point-Retrieval Approach: Guoyu Lu, Yan Yan, Li Ren, Jingkuan Song, Nicu Sebe, Chandra Kambhamettu
Dense Optical Flow Prediction From a Static Image: Jacob Walker, Abhinav Gupta, Martial Hebert
Unsupervised Domain Adaptation for Zero-Shot Learning: Elyor Kodirov, Tao Xiang, Zhenyong Fu, Shaogang Gong
Visual Madlibs: Fill in the Blank Description Generation and Question Answering: Licheng Yu, Eunbyung Park, Alexander C. Berg, Tamara L. Berg
Actions and Attributes From Wholes and Parts: Georgia Gkioxari, Ross Girshick, Jitendra Malik
DeepBox: Learning Objectness With Convolutional Networks: Weicheng Kuo, Bharath Hariharan, Jitendra Malik
Active Object Localization With Deep Reinforcement Learning: Juan C. Caicedo, Svetlana Lazebnik
Scene-Domain Active Part Models for Object Representation: Zhou Ren, Chaohui Wang, Alan L. Yuille
A Unified Multiplicative Framework for Attribute Learning: Kongming Liang, Hong Chang, Shiguang Shan, Xilin Chen
Contractive Rectifier Networks for Nonlinear Maximum Margin Classification: Senjian An, Munawar Hayat, Salman H. Khan, Mohammed Bennamoun, Farid Boussaid, Ferdous Sohel
Augmenting Strong Supervision Using Web Data for Fine-Grained Categorization: Zhe Xu, Shaoli Huang, Ya Zhang, Dacheng Tao
Learning Like a Child: Fast Novel Visual Concept Learning From Sentence Descriptions of Images: Junhua Mao, Xu Wei, Yi Yang, Jiang Wang, Zhiheng Huang, Alan L. Yuille
Learning Common Sense Through Visual Abstraction: Ramakrishna Vedantam, Xiao Lin, Tanmay Batra, C. Lawrence Zitnick, Devi Parikh
Domain Generalization for Object Recognition With Multi-Task Autoencoders: Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang, David Balduzzi
Square Localization for Efficient and Accurate Object Detection: Cewu Lu, Yongyi Lu, Hao Chen, Chi-Keung Tang
Box Aggregation for Proposal Decimation: Last Mile of Object Detection: Shu Liu, Cewu Lu, Jiaya Jia
DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers: Amir Ghodrati, Ali Diba, Marco Pedersoli, Tinne Tuytelaars, Luc Van Gool
Semantic Segmentation With Object Clique Potential: Xiaojuan Qi, Jianping Shi, Shu Liu, Renjie Liao, Jiaya Jia
Automatic Concept Discovery From Parallel Text and Visual Corpora: Chen Sun, Chuang Gan, Ram Nevatia
Simpler Non-Parametric Methods Provide as Good or Better Results to Multiple-Instance Learning: Ragav Venkatesan, Parag Chandakkar, Baoxin Li
Monocular Object Instance Segmentation and Depth Ordering With CNNs: Ziyu Zhang, Alexander G. Schwing, Sanja Fidler, Raquel Urtasun
Multimodal Convolutional Neural Networks for Matching Image and Sentence: Lin Ma, Zhengdong Lu, Lifeng Shang, Hang Li
Structural Kernel Learning for Large Scale Multiclass Object Co-Detection: Zeeshan Hayder, Xuming He, Mathieu Salzmann
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models: Bryan A. Plummer, Liwei Wang, Chris M. Cervantes, Juan C. Caicedo, Julia Hockenmaier, Svetlana Lazebnik
Predicting Depth, Surface Normals and Semantic Labels With a Common Multi-Scale Convolutional Architecture: David Eigen, Rob Fergus
AttentionNet: Aggregating Weak Directions for Accurate Object Detection: Donggeun Yoo, Sunggyun Park, Joon-Young Lee, Anthony S. Paek, In So Kweon
Common Subspace for Model and Similarity: Phrase Learning for Caption Generation From Images: Yoshitaka Ushiku, Masataka Yamaguchi, Yusuke Mukuta, Tatsuya Harada

Poster Session 3B - Statistical Methods and Learning, Motion and Tracking, and Video Analysis I

MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking: Thibaut Durand, Nicolas Thome, Matthieu Cord
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving: Chenyi Chen, Ari Seff, Alain Kornhauser, Jianxiong Xiao
Active Transfer Learning With Zero-Shot Priors: Reusing Past Datasets for Future Tasks: Efstratios Gavves, Thomas Mensink, Tatiana Tommasi, Cees G. M. Snoek, Tinne Tuytelaars
HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition: Zhicheng Yan, Hao Zhang, Robinson Piramuthu, Vignesh Jagadeesh, Dennis DeCoste, Wei Di, Yizhou Yu
Learning The Structure of Deep Convolutional Networks: Jiashi Feng, Trevor Darrell
FlowNet: Learning Optical Flow With Convolutional Networks: Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Häusser, Caner Hazırbaş, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox
Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning: Chun-Guang Li, Zhouchen Lin, Honggang Zhang, Jun Guo
Context-Guided Diffusion for Label Propagation on Graphs: Kwang In Kim, James Tompkin, Hanspeter Pfister, Christian Theobalt
Learning to Rank Based on Subsequences: Basura Fernando, Efstratios Gavves, Damien Muselet, Tinne Tuytelaars
Unsupervised Learning of Visual Representations Using Videos: Xiaolong Wang, Abhinav Gupta
A Nonparametric Bayesian Approach Toward Stacked Convolutional Independent Component Analysis: Sotirios P. Chatzis, Dimitrios Kosmopoulos
Robust Principal Component Analysis on Graphs: Nauman Shahid, Vassilis Kalofolias, Xavier Bresson, Michael Bronstein, Pierre Vandergheynst
Projection Bank: From High-Dimensional Data to Medium-Length Binary Codes: Li Liu, Mengyang Yu, Ling Shao
Robust Optimization for Deep Regression (PDF, project): Vasileios Belagiannis, Christian Rupprecht, Gustavo Carneiro, Nassir Navab
Multi-Class Multi-Annotator Active Learning With Robust Gaussian Process for Visual Recognition: Chengjiang Long, Gang Hua
Maximum-Margin Structured Learning With Deep Networks for 3D Human Pose Estimation: Sijin Li, Weichen Zhang, Antoni B. Chan
An Exploration of Parameter Redundancy in Deep Networks With Circulant Projections: Yu Cheng, Felix X. Yu, Rogerio S. Feris, Sanjiv Kumar, Alok Choudhary, Shi-Fu Chang
Additive Nearest Neighbor Feature Maps: Zhenzhen Wang, Xiao-Tong Yuan, Qingshan Liu, Shuicheng Yan
Understanding Deep Features With Computer-Generated Imagery: Mathieu Aubry, Bryan C. Russell
Interpolation on the Manifold of K Component GMMs: Hyunwoo J. Kim, Nagesh Adluru, Monami Banerjee, Baba C. Vemuri, Vikas Singh
Context-Aware CNNs for Person Head Detection: Tuan-Hung Vu, Anton Osokin, Ivan Laptev
Mode-Seeking on Hypergraphs for Robust Geometric Model Fitting (bibtex, PDF): Hanzi Wang*, Guobao Xiao*, Yan Yan, David Suter
Highly-Expressive Spaces of Well-Behaved Transformations: Keeping It Simple: Oren Freifeld, Søren Hauberg, Kayhan Batmanghelich, John W. Fisher III
Entropy-Based Latent Structured Output Prediction: Diane Bouchacourt, Sebastian Nowozin, M. Pawan Kumar
Fast Orthogonal Projection Based on Kronecker Product: Xu Zhang, Felix X. Yu, Ruiqi Guo, Sanjiv Kumar, Shengjin Wang, Shi-Fu Chang
PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization: Alex Kendall, Matthew Grimes, Roberto Cipolla
Predicting Multiple Structured Visual Interpretations: Debadeepta Dey, Varun Ramakrishna, Martial Hebert, J. Andrew Bagnell
Look and Think Twice: Capturing Top-Down Visual Attention With Feedback Convolutional Neural Networks: Chunshui Cao, Xianming Liu, Yi Yang, Yinan Yu, Jiang Wang, Zilei Wang, Yongzhen Huang, Liang Wang, Chang Huang, Wei Xu, Deva Ramanan, Thomas S. Huang
Matrix Backpropagation for Deep Networks With Structured Layers: Catalin Ionescu, Orestis Vantzos, Cristian Sminchisescu
Introducing Geometry in Active Learning for Image Segmentation: Ksenia Konyushkova, Raphael Sznitman, Pascal Fua
Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition: Heechul Jung, Sihaeng Lee, Junho Yim, Sunjeong Park, Junmo Kim
Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression: Takuya Narihira, Michael Maire, Stella X. Yu
Face Flow: Patrick Snape, Anastasios Roussos, Yannis Panagakis, Stefanos Zafeiriou
Discriminative Low-Rank Tracking: Yao Sui, Yafei Tang, Li Zhang
SOWP: Spatially Ordered and Weighted Patch Descriptor for Visual Tracking: Han-Ul Kim, Dae-Youn Lee, Jae-Young Sim, Chang-Su Kim
Live Repetition Counting: Ofir Levy, Lior Wolf
Near-Online Multi-Target Tracking With Aggregated Local Flow Descriptor: Wongun Choi
Multi-Kernel Correlation Filter for Visual Tracking: Ming Tang, Jiayi Feng
Joint Probabilistic Data Association Revisited: Seyed Hamid Rezatofighi, Anton Milan, Zhen Zhang, Qinfeng Shi, Anthony Dick, Ian Reid
Tracking-by-Segmentation With Online Gradient Boosting Decision Tree: Jeany Son, Ilchae Jung, Kayoung Park, Bohyung Han
Exploring Causal Relationships in Visual Object Tracking: Karel Lebeda, Simon Hadfield, Richard Bowden
Hierarchical Convolutional Features for Visual Tracking (PDF): Chao Ma, Jia-Bin Huang, Xiaokang Yang, Ming-Hsuan Yang
Robust Non-Rigid Motion Tracking and Surface Reconstruction Using L0 Regularization: Kaiwen Guo, Feng Xu, Yangang Wang, Yebin Liu, Qionghai Dai
Online Object Tracking With Proposal Selection (PDF): Yang Hua, Karteek Alahari, Cordelia Schmid
Understanding and Diagnosing Visual Tracking Systems: Naiyan Wang, Jianping Shi, Dit-Yan Yeung, Jiaya Jia
Integrating Dashcam Views Through Inter-Video Mapping: Hsin-I Chen, Yi-Ling Chen, Wei-Tse Lee, Fan Wang, Bing-Yu Chen
Visual Tracking With Fully Convolutional Networks: Lijun Wang, Wanli Ouyang, Xiaogang Wang, Huchuan Lu
Multiple Feature Fusion via Weighted Entropy for Visual Tracking: Lin Ma, Jiwen Lu, Jianjiang Feng, Jie Zhou
Pedestrian Travel Time Estimation in Crowded Scenes: Shuai Yi, Hongsheng Li, Xiaogang Wang
Unsupervised Synchrony Discovery in Human Interaction: Wen-Sheng Chu, Jiabei Zeng, Fernando De la Torre, Jeffrey F. Cohn, Daniel S. Messinger
Efficient Video Segmentation Using Parametric Graph Partitioning (PDF): Chen-Ping Yu, Hieu Le, Gregory Zelinsky, Dimitris Samaras
Learning to Track for Spatio-Temporal Action Localization: Philippe Weinzaepfel, Zaid Harchaoui, Cordelia Schmid
Unsupervised Object Discovery and Tracking in Video Collections: Suha Kwak, Minsu Cho, Ivan Laptev, Jean Ponce, Cordelia Schmid
Car That Knows Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models: Ashesh Jain, Hema S. Koppula, Bharad Raghavan, Shane Soh, Ashutosh Saxena
Activity Auto-Completion: Predicting Human Activities From Partial Videos: Zhen Xu, Laiyun Qing, Jun Miao
Person Re-Identification With Correspondence Structure Learning: Yang Shen, Weiyao Lin, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang
Adaptive Exponential Smoothing for Online Filtering of Pixel Prediction Maps: Kang Dang, Jiong Yang, Junsong Yuan
P-CNN: Pose-Based CNN Features for Action Recognition: Guilhem Chéron, Ivan Laptev, Cordelia Schmid
Fully Connected Object Proposals for Video Segmentation: Federico Perazzi, Oliver Wang, Markus Gross, Alexander Sorkine-Hornung
Video Segmentation With Just a Few Strokes: Naveen Shankar Nagaraja, Frank R. Schmidt, Thomas Brox
Actionness-Assisted Recognition of Actions: Ye Luo, Loong-Fah Cheong, An Tran
COUNT Forest: CO-Voting Uncertain Number of Targets Using Random Forest for Crowd Density Estimation: Viet-Quoc Pham, Tatsuo Kozakaya, Osamu Yamaguchi, Ryuzo Okada
Multi-Cue Structure Preserving MRF for Unconstrained Video Segmentation: Saehoon Yi, Vladimir Pavlovic
Motion Trajectory Segmentation via Minimum Cost Multicuts: Margret Keuper, Bjoern Andres, Thomas Brox
Action Localization in Videos Through Context Walk: Khurram Soomro, Haroon Idrees, Mubarak Shah
RGB-W: When Vision Meets Wireless: Alexandre Alahi, Albert Haque, Li Fei-Fei
Action Detection by Implicit Intentional Motion Clustering: Wei Chen, Jason J. Corso
Simultaneous Foreground Detection and Classification With Hybrid Features: Jaemyun Kim, Adín Ramírez Rivera, Byungyong Ryu, Oksam Chae
SpeDo: 6 DOF Ego-Motion Sensor Using Speckle Defocus Imaging: Kensei Jo, Mohit Gupta, Shree K. Nayar
The Likelihood-Ratio Test and Efficient Robust Estimation: Andrea Cohen, Christopher Zach

Poster Session 4A - Computational Photography, Face and Gesture, and Vision for X

Photometric Stereo in a Scattering Medium: Zak Murez, Tali Treibitz, Ravi Ramamoorthi, David Kriegman
Resolving Scale Ambiguity Via XSlit Aspect Ratio Analysis: Wei Yang, Haiting Lin, Sing Bing Kang, Jingyi Yu
Single-Shot Specular Surface Reconstruction With Gonio-Plenoptic Imaging: Lingfei Meng, Liyang Lu, Noah Bedard, Kathrin Berkner
TransCut: Transparent Object Segmentation From a Light-Field Image (PDF, project): Yichao Xu, Hajime Nagahara, Atsushi Shimada, Rin-ichiro Taniguchi
Depth Recovery From Light Field Using Focal Stack Symmetry: Haiting Lin, Can Chen, Sing Bing Kang, Jingyi Yu
Depth Map Estimation and Colorization of Anaglyph Images Using Local Color Prior and Reverse Intensity Distribution: Williem, Ramesh Raskar, In Kyu Park
Learning Data-Driven Reflectance Priors for Intrinsic Image Decomposition: Tinghui Zhou, Philipp Krähenbühl, Alexei A. Efros
Photometric Stereo With Small Angular Variations: Jian Wang, Yasuyuki Matsushita, Boxin Shi, Aswin C. Sankaranarayanan
Occlusion-Aware Depth Estimation Using Light-Field Cameras: Ting-Chun Wang, Alexei A. Efros, Ravi Ramamoorthi
Oriented Light-Field Windows for Scene Flow: Pratul P. Srinivasan, Michael W. Tao, Ren Ng, Ravi Ramamoorthi
Extended Depth of Field Catadioptric Imaging Using Focal Sweep: Ryunosuke Yokoya, Shree K. Nayar
Intrinsic Depth: Improving Depth Transfer With Intrinsic Images (PDF): Naejin Kong, Michael J. Black
Separating Fluorescent and Reflective Components by Using a Single Hyperspectral Image (PDF): Yinqiang Zheng, Ying Fu, Antony Lam, Imari Sato, Yoichi Sato
Frequency-Based Environment Matting by Compressive Sensing: Yiming Qian, Minglun Gong, Yee-Hong Yang
Complementary Sets of Shutter Sequences for Motion Deblurring (PDF, project): Hae-Gon Jeon (KAIST), Joon-Young Lee (Adobe Research), Yudeog Han (Agency for Defense Development), Seon Joo Kim (Yonsei Univerisity), In So Kweon (KAIST)
Hyperspectral Compressive Sensing Using Manifold-Structured Sparsity Prior: Lei Zhang, Wei Wei, Yanning Zhang, Fei Li, Chunhua Shen, Qinfeng Shi
A Gaussian Process Latent Variable Model for BRDF Inference: Stamatios Georgoulis, Vincent Vanweddingen, Marc Proesmans, Luc Van Gool
Active One-Shot Scan for Wide Depth Range Using a Light Field Projector Based on Coded Aperture: Hiroshi Kawasaki, Satoshi Ono, Yuki Horita, Yuki Shiba, Ryo Furukawa, Shinsaku Hiura
Model-Based Tracking at 300Hz Using Raw Time-of-Flight Observations: Jan Stühmer, Sebastian Nowozin, Andrew Fitzgibbon, Richard Szeliski, Travis Perry, Sunil Acharya, Daniel Cremers, Jamie Shotton
Hyperspectral Super-Resolution by Coupled Spectral Unmixing: Charis Lanaras, Emmanuel Baltsavias, Konrad Schindler
Depth Selective Camera: A Direct, On-Chip, Programmable Technique for Depth Selectivity in Photography: Ryuichi Tadano, Adithya Kumar Pediredla, Ashok Veeraraghavan
A Groupwise Multilinear Correspondence Optimization for 3D Faces (PDF, project): Timo Bolkart, Stefanie Wuhrer
Selective Encoding for Recognizing Unreliably Localized Faces (PDF): Ang Li (U Maryland), Vlad Morariu, Larry S. Davis
Confidence Preserving Machine for Facial Action Unit Detection (PDF): Jiabei Zeng, Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn, Zhang Xiong
Learning Social Relation Traits From Face Images (PDF): Zhanpeng Zhang, Ping Luo, Chen-Change Loy, Xiaoou Tang
Robust Heart Rate Measurement From Video Using Select Random Patches: Antony Lam, Yoshinori Kuno
Robust Model-Based 3D Head Pose Estimation: Gregory P. Meyer, Shalini Gupta, Iuri Frosio, Dikpal Reddy, Jan Kautz
Robust Facial Landmark Detection Under Significant Head Poses and Occlusion (PDF): Yue Wu, Qiang Ji
Conditional Convolutional Neural Network for Modality-Aware Face Recognition: Chao Xiong, Xiaowei Zhao, Danhang Tang, Karlekar Jayashree, Shuicheng Yan, Tae-Kyun Kim
From Facial Parts Responses to Face Detection: A Deep Learning Approach (PDF): Shuo Yang, Ping Luo, Chen-Change Loy, Xiaoou Tang
Efficient PSD Constrained Asymmetric Metric Learning for Person Re-Identification (PDF): Shengcai Liao, Stan Z. Li
Pose-Invariant 3D Face Alignment: Amin Jourabloo, Xiaoming Liu
From Emotions to Action Units With Hidden and Semi-Hidden-Task Learning: Adria Ruiz, Joost Van de Weijer, Xavier Binefa
Automated Facial Trait Judgment and Election Outcome Prediction: Social Dimensions of Face: Jungseock Joo, Francis F. Steen, Song-Chun Zhu
Simultaneous Local Binary Feature Learning and Encoding for Face Recognition: Jiwen Lu, Venice Erin Liong, Jie Zhou
Deep Learning Face Attributes in the Wild: Ziwei Liu, Ping Luo, Xiaogang Wang, Xiaoou Tang
Multi-Task Learning With Low Rank Attribute Embedding for Person Re-Identification (PDF): Chi Su, Fan Yang, Shiliang Zhang, Qi Tian, Larry S. Davis, Wen Gao
Regressing a 3D Face Shape From a Single Image: Sergey Tulyakov, Nicu Sebe
Rendering of Eyes for Eye-Shape Registration and Gaze Estimation: Erroll Wood, Tadas Baltrušaitis, Xucong Zhang, Yusuke Sugano, Peter Robinson, Andreas Bulling
Multi-Scale Learning for Low-Resolution Person Re-Identification: Xiang Li, Wei-Shi Zheng, Xiaojuan Wang, Tao Xiang, Shaogang Gong
Learning to Transfer: Transferring Latent Task Structures and Its Application to Person-Specific Facial Action Unit Detection: Timur Almaev, Brais Martinez, Michel Valstar
Pairwise Conditional Random Forests for Facial Expression Recognition: Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson
Multi-Conditional Latent Variable Model for Joint Facial Action Unit Detection: Stefanos Eleftheriadis, Ognjen Rudovic, Maja Pantic
Leveraging Datasets With Varying Annotations for Face Alignment via Deep Regression Network: Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen
A Spatio-Temporal Appearance Representation for Viceo-Based Pedestrian Re-Identification: Kan Liu, Bingpeng Ma, Wei Zhang, Rui Huang
Two Birds, One Stone: Jointly Learning Binary Code for Large-Scale Face Image Retrieval and Attributes Prediction (PDF): Yan Li, Ruiping Wang, Haomiao Liu, Huajie Jiang, Shiguang Shan, Xilin Chen
An Accurate Iris Segmentation Framework Under Relaxed Imaging Constraints Using Total Variation Model: Zijing Zhao, Kumar Ajay
Discriminative Pose-Free Descriptors for Face and Object Matching: Soubhik Sanyal, Sivaram Prasad Mudunuri, Soma Biswas
Bi-Shifting Auto-Encoder for Unsupervised Domain Adaptation (PDF): Meina Kan, Shiguang Shan, Xilin Chen
Regressive Tree Structured Model for Facial Landmark Localization: Gee-Sern Hsu, Kai-Hsiang Chang, Shih-Chieh Huang
Person Recognition in Personal Photo Collections: Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele
Robust Statistical Face Frontalization: Christos Sagonas, Yannis Panagakis, Stefanos Zafeiriou, Maja Pantic
PIEFA: Personalized Incremental and Ensemble Face Alignment: Xi Peng, Shaoting Zhang, Yu Yang, Dimitris N. Metaxas
Understanding Everyday Hands in Action From RGB-D Images: Grégory Rogez, James S. Supančič III, Deva Ramanan
Example-Based Modeling of Facial Texture From Deficient Data: Arnaud Dessein, William A. P. Smith, Richard C. Wilson, Edwin R. Hancock
Learning to Predict Saliency on Face Images: Mai Xu, Yun Ren, Zulin Wang
Group Membership Prediction: Ziming Zhang, Yuting Chen, Venkatesh Saligrama
Extraction of Virtual Baselines From Distorted Document Images Using Curvilinear Projection: Gaofeng Meng, Zuming Huang, Yonghong Song, Shiming Xiang, Chunhong Pan
Robust RGB-D Odometry Using Point and Line Features: Yan Lu, Dezhen Song
Learning a Discriminative Model for the Perception of Realism in Composite Images: Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, Alexei A. Efros
What Makes Tom Hanks Look Like Tom Hanks: Supasorn Suwajanakorn, Steven M. Seitz, Ira Kemelmacher-Shlizerman
Wide-Area Image Geolocalization With Aerial Reference Imagery: Scott Workman, Richard Souvenir, Nathan Jacobs
Personalized Age Progression With Aging Dictionary: Xiangbo Shu, Jinhui Tang, Hanjiang Lai, Luoqi Liu, Shuicheng Yan
FaceDirector: Continuous Control of Facial Performance in Video: Charles Malleson, Jean-Charles Bazin, Oliver Wang, Derek Bradley, Thabo Beeler, Adrian Hilton, Alexander Sorkine-Hornung
Synthesizing Illumination Mosaics From Internet Photo-Collections: Dinghuang Ji, Enrique Dunn, Jan-Michael Frahm
Hot or Not: Exploring Correlations Between Appearance and Temperature (PDF): Daniel Glasner, Pascal Fua, Todd Zickler, Lihi Zelnik-Manor
Self-Calibration of Optical Lenses: Michael Hirsch, Bernhard Schölkopf

Poster Session 4B - Statistical Methods and Learning, Motion and Tracking, and Video Analysis II

Differential Recurrent Neural Networks for Action Recognition: Vivek Veeriah, Naifan Zhuang, Guo-Jun Qi
Similarity Gaussian Process Latent Variable Model for Multi-Modal Data Analysis (PDF): Guoli Song, Shuhui Wang, Qingming Huang, Qi Tian
Learning Ensembles of Potential Functions for Structured Prediction With Latent Variables: Hossein Hajimirsadeghi, Greg Mori
Simultaneous Deep Transfer Across Domains and Tasks: Eric Tzeng, Judy Hoffman, Trevor Darrell, Kate Saenko
Low Dimensional Explicit Feature Maps: Ondřej Chum
Unsupervised Learning of Spatiotemporally Coherent Metrics: Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun
Multi-Label Cross-Modal Retrieval: Viresh Ranjan, Nikhil Rasiwasia, C. V. Jawahar
Improving Ferns Ensembles by Sparsifying and Quantising Posterior Probabilities: Antonio L. Rodriguez, Vitor Sequeira
Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs: Mehrtash Harandi, Mathieu Salzmann, Mahsa Baktashmotlagh
Unsupervised Domain Adaptation With Imbalanced Cross-Domain Data: Tzu Ming Harry Hsu, Wei Yu Chen, Cheng-An Hou, Yao-Hung Hubert Tsai, Yi-Ren Yeh, Yu-Chiang Frank Wang
Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts: Je Hyeong Hong, Andrew Fitzgibbon
Geometry-Aware Deep Transform: Jiaji Huang, Qiang Qiu, Robert Calderbank, Guillermo Sapiro
Learning Binary Codes for Maximum Inner Product Search: Fumin Shen, Wei Liu, Shaoting Zhang, Yang Yang, Heng Tao Shen
ML-MG: Multi-Label Learning With Missing Labels Using a Mixed Graph: Baoyuan Wu, Siwei Lyu, Bernard Ghanem
Zero-Shot Learning via Semantic Similarity Embedding: Ziming Zhang, Venkatesh Saligrama
Bayesian Model Adaptation for Crowd Counts: Bo Liu, Nuno Vasconcelos
An NMF Perspective on Binary Hashing: Lopamudra Mukherjee, Sathya N. Ravi, Vamsi K. Ithapu, Tyler Holmes, Vikas Singh
Multi-View Domain Generalization for Visual Recognition: Li Niu, Wen Li, Dong Xu
Infinite Feature Selection: Giorgio Roffo, Simone Melzi, Marco Cristani
Semi-Supervised Zero-Shot Classification With Label Representation Learning (PDF, supplementary material): Xin Li (Temple University), Yuhong Guo, Dale Schuurmans
A Supervised Low-Rank Method for Learning Invariant Subspaces: Farzad Siyahjani, Ranya Almohsen, Sinan Sabri, Gianfranco Doretto
Recursive Fréchet Mean Computation on the Grassmannian and its Applications to Computer Vision (PDF): Rudrasis Chakraborty, Baba C. Vemuri
Multi-View Subspace Clustering: Hongchang Gao, Feiping Nie, Xuelong Li, Heng Huang
Predicting Deep Zero-Shot Convolutional Neural Networks Using Textual Descriptions: Jimmy Lei Ba, Kevin Swersky, Sanja Fidler, Ruslan salakhutdinov
Structured Feature Selection: Tian Gao, Ziheng Wang, Qiang Ji
Conditional High-Order Boltzmann Machine: A Supervised Learning Model for Relation Learning: Yan Huang, Wei Wang, Liang Wang
Learning Image and User Features for Recommendation in Social Networks: Xue Geng, Hanwang Zhang, Jingwen Bian, Tat-Seng Chua
Dual-Feature Warping-Based Motion Model Estimation: Shiwei Li, Lu Yuan, Jian Sun, Long Quan
An Adaptive Data Representation for Robust Point-Set Registration and Merging: Dylan Campbell, Lars Petersson
Local Subspace Collaborative Tracking: Lin Ma, Xiaoqin Zhang, Weiming Hu, Junliang Xing, Jiwen Lu, Jie Zhou
Learning Spatially Regularized Correlation Filters for Visual Tracking: Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg
Unsupervised Trajectory Clustering via Adaptive Multi-Kernel-Based Shrinkage: Hongteng Xu, Yang Zhou, Weiyao Lin, Hongyuan Zha
TRIC-track: Tracking by Regression With Incrementally Learned Cascades: Xiaomeng Wang, Michel Valstar, Brais Martinez, Muhammad Haris Khan, Tony Pridmore
Recurrent Network Models for Human Dynamics: Katerina Fragkiadaki, Sergey Levine, Panna Felsen, Jitendra Malik
Contour Flow: Middle-Level Motion Estimation by Combining Motion Segmentation and Contour Alignment: Huijun Di, Qingxuan Shi, Feng Lv, Ming Qin, Yao Lu
FollowMe: Efficient Online Min-Cost Flow Tracking With Bounded Memory and Computation: Philip Lenz, Andreas Geiger, Raquel Urtasun
Learning to Divide and Conquer for Online Multi-Target Tracking: Francesco Solera, Simone Calderara, Rita Cucchiara
Minimizing Human Effort in Interactive Tracking by Incremental Learning of Model Parameters: Arridhana Ciptadi, James M. Rehg
A Novel Representation of Parts for Accurate 3D Object Detection and Tracking in Monocular Images: Alberto Crivellaro, Mahdi Rad, Yannick Verdie, Kwang Moo Yi, Pascal Fua, Vincent Lepetit
Linearization to Nonlinear Learning for Visual Tracking: Bo Ma, Hongwei Hu, Jianbing Shen, Yuping Zhang, Fatih Porikli
Self-Occlusions and Disocclusions in Causal Video Object Segmentation: Yanchao Yang, Ganesh Sundaramoorthi, Stefano Soatto
Large Displacement 3D Scene Flow With Occlusion Reasoning: Andrei Zanfir, Cristian Sminchisescu
Co-Interest Person Detection From Multiple Wearable Camera Videos: Yuewei Lin, Kareem Abdelfatah, Youjie Zhou, Xiaochuan Fan, Hongkai Yu, Hui Qian, Song Wang
Sparse Dynamic 3D Reconstruction From Unsynchronized Videos: Enliang Zheng, Dinghuang Ji, Enrique Dunn, Jan-Michael Frahm
Category-Blind Human Action Recognition: A Practical Recognition System: Wenbo Li, Longyin Wen, Mooi Choo Chuah, Siwei Lyu
Temporal Subspace Clustering for Human Motion Segmentation: Sheng Li, Kang Li, Yun Fu
Weakly-Supervised Alignment of Video With Text: Piotr Bojanowski, Rémi Lajugie, Edouard Grave, Francis Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid
Learning Temporal Embeddings for Complex Video Analysis: Vignesh Ramanathan, Kevin Tang, Greg Mori, Li Fei-Fei
Unsupervised Semantic Parsing of Video Collections: Ozan Sener, Amir R. Zamir, Silvio Savarese, Ashutosh Saxena
Learning Spatiotemporal Features With 3D Convolutional Networks: Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri
Temporal Perception and Prediction in Ego-Centric Video: Yipin Zhou, Tamara L. Berg
Describing Videos by Exploiting Temporal Structure: Li Yao, Atousa Torabi, Kyunghyun Cho, Nicolas Ballas, Christopher Pal, Hugo Larochelle, Aaron Courville
Person Re-Identification With Discriminatively Trained Viewpoint Invariant Dictionaries: Srikrishna Karanam, Yang Li, Richard J. Radke
Storyline Representation of Egocentric Videos With an Applications to Story-Based Search: Bo Xiong, Gunhee Kim, Leonid Sigal
Sequence to Sequence – Video to Text: Subhashini Venugopalan, Marcus Rohrbach, Jeffrey Donahue, Raymond Mooney, Trevor Darrell, Kate Saenko
Context Aware Active Learning of Activity Recognition Models (PDF): Mahmudul Hasan, Amit K. Roy-Chowdhury
Action Recognition by Hierarchical Mid-Level Action Elements: Tian Lan, Yuke Zhu, Amir Roshan Zamir, Silvio Savarese
Selecting Relevant Web Trained Concepts for Automated Event Retrieval: Bharat Singh, Xintong Han, Zhe Wu, Vlad I. Morariu, Larry S. Davis
Beyond Covariance: Feature Representation With Nonlinear Kernel Matrices (code): Lei Wang (University of Wollongong), Jianjia Zhang (University of Wollongong), Luping Zhou (University of Wollongong), Chang Tang (Tianjin University), Wanqing Li (University of Wollongong)
Multiresolution Hierarchy Co-Clustering for Semantic Segmentation in Sequences With Small Variations: David Varas, Mónica Alfaro, Ferran Marques
Objects2action: Classifying and Localizing Actions Without Any Video Example: Mihir Jain, Jan C. van Gemert, Thomas Mensink, Cees G. M. Snoek
Human Action Recognition Using Factorized Spatio-Temporal Convolutional Networks: Lin Sun, Kui Jia, Dit-Yan Yeung, Bertram E. Shi
Bayesian Non-Parametric Inference for Manifold Based MoCap Representation: Fabrizio Natola, Valsamis Ntouskos, Marta Sanzari, Fiora Pirri
Semantic Video Entity Linking Based on Visual Content and Metadata: Yuncheng Li, Xitong Yang, Jiebo Luo
Love Thy Neighbors: Image Annotation by Exploiting Image Metadata: Justin Johnson, Lamberto Ballan, Li Fei-Fei
Unsupervised Extraction of Video Highlights Via Robust Recurrent Auto-Encoders: Huan Yang, Baoyuan Wang, Stephen Lin, David Wipf, Minyi Guo, Baining Guo
Learning Visual Clothing Style With Heterogeneous Dyadic Co-Occurrences: Andreas Veit, Balazs Kovacs, Sean Bell, Julian McAuley, Kavita Bala, Serge Belongie
Text Flow: A Unified Text Detection System in Natural Scene Images: Shangxuan Tian, Yifeng Pan, Chang Huang, Shijian Lu, Kai Yu, Chew Lim Tan