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ORCIDICCV 2015: Santiago, Chile
- 2015 IEEE International Conference on Computer Vision, ICCV 2015, Santiago, Chile, December 7-13, 2015. IEEE Computer Society 2015, ISBN 978-1-4673-8391-2
O-1A: Vision and Language
- Mateusz Malinowski
, Marcus Rohrbach, Mario Fritz:
Ask Your Neurons: A Neural-Based Approach to Answering Questions about Images. 1-9 - Hamid Izadinia, Fereshteh Sadeghi, Santosh Kumar Divvala, Hannaneh Hajishirzi, Yejin Choi, Ali Farhadi:
Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing. 10-18 - Yukun Zhu, Ryan Kiros, Richard S. Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, Sanja Fidler:
Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books. 19-27 - Ting Yao, Tao Mei, Chong-Wah Ngo:
Learning Query and Image Similarities with Ranking Canonical Correlation Analysis. 28-36
P-1A: Recognition, Low-Level Vision, and Biomedical Image Analysis
- Pulkit Agrawal, João Carreira, Jitendra Malik:
Learning to See by Moving. 37-45 - Haoyu Ren, Ze-Nian Li:
Object Detection Using Generalization and Efficiency Balanced Co-Occurrence Features. 46-54 - Quanshi Zhang, Ying Nian Wu, Song-Chun Zhu:
Mining And-Or Graphs for Graph Matching and Object Discovery. 55-63 - Shubham Tulsiani, João Carreira, Jitendra Malik:
Pose Induction for Novel Object Categories. 64-72 - Yuhui Quan, Yan Huang, Hui Ji:
Dynamic Texture Recognition via Orthogonal Tensor Dictionary Learning. 73-81 - Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li:
Convolutional Channel Features. 82-90 - Mattis Paulin, Matthijs Douze, Zaïd Harchaoui, Julien Mairal, Florent Perronnin, Cordelia Schmid:
Local Convolutional Features with Unsupervised Training for Image Retrieval. 91-99 - Lingxi Xie, Jingdong Wang, Weiyao Lin, Bo Zhang, Qi Tian:
RIDE: Reversal Invariant Descriptor Enhancement. 100-108 - Kamil Adamczewski, Yumin Suh, Kyoung Mu Lee:
Discrete Tabu Search for Graph Matching. 109-117 - Edgar Simo-Serra, Eduard Trulls, Luis Ferraz, Iasonas Kokkinos, Pascal Fua, Francesc Moreno-Noguer:
Discriminative Learning of Deep Convolutional Feature Point Descriptors. 118-126 - Abhishek Kar, Shubham Tulsiani, João Carreira, Jitendra Malik:
Amodal Completion and Size Constancy in Natural Scenes. 127-135 - Marco Pedersoli, Tinne Tuytelaars:
Learning Where to Position Parts in 3D. 136-144 - Yanhua Cheng, Rui Cai, Chi Zhang, Zhiwei Li, Xin Zhao, Kaiqi Huang, Yong Rui:
Query Adaptive Similarity Measure for RGB-D Object Recognition. 145-153 - Chao Sui, Mohammed Bennamoun, Roberto Togneri:
Listening with Your Eyes: Towards a Practical Visual Speech Recognition System Using Deep Boltzmann Machines. 154-162 - Flora Ponjou Tasse, Jirí Kosinka, Neil A. Dodgson:
Cluster-Based Point Set Saliency. 163-171 - Shida Beigpour, Andreas Kolb, Sven Kunz:
A Comprehensive Multi-Illuminant Dataset for Benchmarking of the Intrinsic Image Algorithms. 172-180 - Siying Liu, Tian-Tsong Ng, Kalyan Sunkavalli, Minh N. Do, Eli Shechtman, Nathan Carr:
PatchMatch-Based Automatic Lattice Detection for Near-Regular Textures. 181-189 - Jia Li, Changqun Xia, Yafei Song, Shu Fang, Xiaowu Chen:
A Data-Driven Metric for Comprehensive Evaluation of Saliency Models. 190-198 - Junchi Yan, Hongteng Xu, Hongyuan Zha, Xiaokang Yang, Huanxi Liu, Stephen M. Chu:
A Matrix Decomposition Perspective to Multiple Graph Matching. 199-207 - Nguyen Ho Man Rang, Michael S. Brown:
Fast and Effective L0 Gradient Minimization by Region Fusion. 208-216 - Peng Jiang, Nuno Vasconcelos, Jingliang Peng:
Generic Promotion of Diffusion-Based Salient Object Detection. 217-225 - Yu Li, Robby T. Tan, Michael S. Brown:
Nighttime Haze Removal with Glow and Multiple Light Colors. 226-234 - Jianwei Li, Xiaowu Chen, Dongqing Zou, Bo Gao, Wei Teng:
Conformal and Low-Rank Sparse Representation for Image Restoration. 235-243 - Jun Xu, Lei Zhang, Wangmeng Zuo, David Zhang, Xiangchu Feng:
Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising. 244-252 - Jingwei Huang, Huarong Chen, Bin Wang, Stephen Lin:
Automatic Thumbnail Generation Based on Visual Representativeness and Foreground Recognizability. 253-261 - Xun Huang, Chengyao Shen, Xavier Boix, Qi Zhao:
SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks. 262-270 - Qian Zhao, Deyu Meng, Xu Kong, Qi Xie, Wenfei Cao, Yao Wang, Zongben Xu:
A Novel Sparsity Measure for Tensor Recovery. 271-279 - Shengfeng He, Rynson W. H. Lau:
Oriented Object Proposals. 280-288 - Michael Möller, Julia Diebold, Guy Gilboa, Daniel Cremers:
Learning Nonlinear Spectral Filters for Color Image Reconstruction. 289-297 - Dongliang Cheng, Brian L. Price, Scott Cohen, Michael S. Brown:
Beyond White: Ground Truth Colors for Color Constancy Correction. 298-306 - HyeokHyen Kwon, Yu-Wing Tai:
RGB-Guided Hyperspectral Image Upsampling. 307-315 - Amos Sironi, Vincent Lepetit, Pascal Fua:
Projection onto the Manifold of Elongated Structures for Accurate Extraction. 316-324 - Jordi Salvador, Eduardo Pérez-Pellitero:
Naive Bayes Super-Resolution Forest. 325-333 - Graham D. Finlayson, Alex E. Hayes:
POP Image Fusion - Derivative Domain Image Fusion without Reintegration. 334-342 - Ying Fu, Antony Lam, Imari Sato, Yoichi Sato:
Adaptive Spatial-Spectral Dictionary Learning for Hyperspectral Image Denoising. 343-351 - Longquan Dai, Mengke Yuan, Feihu Zhang, Xiaopeng Zhang:
Fully Connected Guided Image Filtering. 352-360 - Feihu Zhang, Longquan Dai, Shiming Xiang, Xiaopeng Zhang:
Segment Graph Based Image Filtering: Fast Structure-Preserving Smoothing. 361-369 - Zhaowen Wang, Ding Liu, Jianchao Yang, Wei Han, Thomas S. Huang:
Deep Networks for Image Super-Resolution with Sparse Prior. 370-378 - Jonathan T. Barron:
Convolutional Color Constancy. 379-387 - Daniel Zoran, Phillip Isola, Dilip Krishnan, William T. Freeman:
Learning Ordinal Relationships for Mid-Level Vision. 388-396 - Dmitrii Marin, Yuchen Zhong, Maria Drangova, Yuri Boykov:
Thin Structure Estimation with Curvature Regularization. 397-405 - Wenbin Zou, Nikos Komodakis:
HARF: Hierarchy-Associated Rich Features for Salient Object Detection. 406-414 - Zezhou Cheng, Qingxiong Yang, Bin Sheng:
Deep Colorization. 415-423 - Levent Karacan, Aykut Erdem, Erkut Erdem:
Image Matting with KL-Divergence Based Sparse Sampling. 424-432 - Pierre-Yves Laffont, Jean-Charles Bazin:
Intrinsic Decomposition of Image Sequences from Local Temporal Variations. 433-441 - Weisheng Dong, Guangyu Li, Guangming Shi, Xin Li, Yi Ma:
Low-Rank Tensor Approximation with Laplacian Scale Mixture Modeling for Multiframe Image Denoising. 442-449 - Yongbo Li, Weisheng Dong, Guangming Shi, Xuemei Xie:
Learning Parametric Distributions for Image Super-Resolution: Where Patch Matching Meets Sparse Coding. 450-458 - Xing Mei, Honggang Qi, Bao-Gang Hu, Siwei Lyu:
Improving Image Restoration with Soft-Rounding. 459-467 - Walon Wei-Chen Chiu, Mario Fritz:
See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG. 468-476 - Guangyong Chen, Fengyuan Zhu, Pheng-Ann Heng:
An Efficient Statistical Method for Image Noise Level Estimation. 477-485 - Francisco Barranco, Ching Lik Teo, Cornelia Fermüller, Yiannis Aloimonos:
Contour Detection and Characterization for Asynchronous Event Sensors. 486-494 - Saeed Anwar, Cong Phuoc Huynh, Fatih Porikli:
Class-Specific Image Deblurring. 495-503 - Gedas Bertasius, Jianbo Shi, Lorenzo Torresani:
High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and Its Applications to High-Level Vision. 504-512 - David Ferstl, Matthias Rüther, Horst Bischof:
Variational Depth Superresolution Using Example-Based Edge Representations. 513-521 - Gernot Riegler, Samuel Schulter, Matthias Rüther, Horst Bischof:
Conditioned Regression Models for Non-blind Single Image Super-Resolution. 522-530 - Renjie Liao, Xin Tao, Ruiyu Li, Ziyang Ma, Jiaya Jia:
Video Super-Resolution via Deep Draft-Ensemble Learning. 531-539 - Yiyong Jiang, Xinghao Ding, Delu Zeng, Yue Huang, John W. Paisley:
Pan-Sharpening with a Hyper-Laplacian Penalty. 540-548 - Xiaolin Wu, Zhenhao Li, Xiaowei Deng:
Video Restoration Against Yin-Yang Phasing. 549-557 - Abhijith Punnappurath, Vijay Rengarajan, A. N. Rajagopalan:
Rolling Shutter Super-Resolution. 558-566 - Aditya Deshpande, Jason Rock, David A. Forsyth:
Learning Large-Scale Automatic Image Colorization. 567-575 - Chao Dong, Yubin Deng, Chen Change Loy, Xiaoou Tang:
Compression Artifacts Reduction by a Deep Convolutional Network. 576-584 - Takahiro Hasegawa, Mitsuru Ambai, Kohta Ishikawa, Gou Koutaki, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Multiple-Hypothesis Affine Region Estimation with Anisotropic LoG Filters. 585-593 - Dingwen Zhang, Deyu Meng, Chao Li, Lu Jiang, Qian Zhao, Junwei Han:
A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection. 594-602 - Fei Chen, Lei Zhang, Huimin Yu:
External Patch Prior Guided Internal Clustering for Image Denoising. 603-611 - Michael Hirsch, Bernhard Schölkopf:
Self-Calibration of Optical Lenses. 612-620 - Yuanliu Liu, Zejian Yuan, Badong Chen, Jianru Xue, Nanning Zheng:
Illumination Robust Color Naming via Label Propagation. 621-629 - Raviteja Vemulapalli, Hien Van Nguyen, Shaohua Kevin Zhou:
Unsupervised Cross-Modal Synthesis of Subject-Specific Scans. 630-638 - Lin Gu, Li Cheng:
Learning to Boost Filamentary Structure Segmentation. 639-647 - Gustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab:
Weakly-Supervised Structured Output Learning with Flexible and Latent Graphs Using High-Order Loss Functions. 648-656 - Toufiq Parag, Dan C. Ciresan, Alessandro Giusti:
Efficient Classifier Training to Minimize False Merges in Electron Microscopy Segmentation. 657-665 - Won Hwa Kim, Sathya N. Ravi, Sterling C. Johnson, Ozioma C. Okonkwo, Vikas Singh:
On Statistical Analysis of Neuroimages with Imperfect Registration. 666-674
S-1A: Plenary Session
- Steven Diamond, Stephen P. Boyd:
Convex Optimization with Abstract Linear Operators. 675-683
P-1B: Recognition and 3D Computer Vision I
- Calvin Murdock, Nathan Jacobs, Robert Pless:
Building Dynamic Cloud Maps from the Ground Up. 684-692 - David Joseph Tan, Federico Tombari, Slobodan Ilic, Nassir Navab:
A Versatile Learning-Based 3D Temporal Tracker: Scalable, Robust, Online. 693-701 - Juan Jose Tarrio, Sol Pedre:
Realtime Edge-Based Visual Odometry for a Monocular Camera. 702-710 - Lap-Fai Yu, Noah Duncan, Sai Kit Yeung:
Fill and Transfer: A Simple Physics-Based Approach for Containability Reasoning. 711-719 - Ole Johannsen, Antonin Sulc, Bastian Goldluecke:
On Linear Structure from Motion for Light Field Cameras. 720-728 - Dimitrios Tzionas, Juergen Gall:
3D Object Reconstruction from Hand-Object Interactions. 729-737 - Enliang Zheng, Ke Wang, Enrique Dunn, Jan-Michael Frahm:
Minimal Solvers for 3D Geometry from Satellite Imagery. 738-746 - Jonathan Ventura, Clemens Arth, Vincent Lepetit:
An Efficient Minimal Solution for Multi-camera Motion. 747-755 - Antonio Agudo, Francesc Moreno-Noguer:
Learning Shape, Motion and Elastic Models in Force Space. 756-764 - Helge Rhodin, Nadia Robertini, Christian Richardt, Hans-Peter Seidel, Christian Theobalt:
A Versatile Scene Model with Differentiable Visibility Applied to Generative Pose Estimation. 765-773 - Jeremie Papon, Markus Schoeler:
Semantic Pose Using Deep Networks Trained on Synthetic RGB-D. 774-782 - Simon Hadfield, Richard Bowden:
Exploiting High Level Scene Cues in Stereo Reconstruction. 783-791 - Simon Donné, Bart Goossens, Wilfried Philips:
Point Triangulation through Polyhedron Collapse Using the l∞ Norm. 792-800 - Chris Sweeney, Torsten Sattler, Tobias Höllerer, Matthew A. Turk, Marc Pollefeys:
Optimizing the Viewing Graph for Structure-from-Motion. 801-809 - Mohammed Hachama, Bernard Ghanem, Peter Wonka:
Intrinsic Scene Decomposition from RGB-D Images. 810-818 - Peiyi Li, Haibin Ling, Xi Li, Chunyuan Liao:
3D Hand Pose Estimation Using Randomized Decision Forest with Segmentation Index Points. 819-827 - Hyowon Ha, Yunsu Bok, Kyungdon Joo, Jiyoung Jung, In-So Kweon:
Accurate Camera Calibration Robust to Defocus Using a Smartphone. 828-836 - Sunghoon Im, Hyowon Ha, Gyeongmin Choe, Hae-Gon Jeon, Kyungdon Joo, In-So Kweon:
High Quality Structure from Small Motion for Rolling Shutter Cameras. 837-845 - Paulo F. U. Gotardo, Tomas Simon, Yaser Sheikh, Iain A. Matthews:
Photogeometric Scene Flow for High-Detail Dynamic 3D Reconstruction. 846-854 - Ching-Hui Chen, Hui Zhou, Timo Ahonen:
Blur-Aware Disparity Estimation from Defocus Stereo Images. 855-863 - Zhaopeng Cui, Ping Tan:
Global Structure-from-Motion by Similarity Averaging. 864-872 - Silvano Galliani, Katrin Lasinger, Konrad Schindler:
Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. 873-881 - Philipp Heise, Brian Jensen, Sebastian Klose, Alois C. Knoll:
Variational PatchMatch MultiView Reconstruction and Refinement. 882-890 - Shaifali Parashar, Daniel Pizarro, Adrien Bartoli, Toby Collins:
As-Rigid-as-Possible Volumetric Shape-from-Template. 891-899 - Armin Mustafa, Hansung Kim, Jean-Yves Guillemaut, Adrian Hilton:
General Dynamic Scene Reconstruction from Multiple View Video. 900-908 - Matthew Trager, Martial Hebert, Jean Ponce:
The Joint Image Handbook. 909-917 - Rui Yu, Chris Russell, Neill D. F. Campbell, Lourdes Agapito:
Direct, Dense, and Deformable: Template-Based Non-rigid 3D Reconstruction from RGB Video. 918-926 - Menglong Zhu, Xiaowei Zhou, Kostas Daniilidis:
Single Image Pop-Up from Discriminatively Learned Parts. 927-935 - Arun Mallya, Svetlana Lazebnik:
Learning Informative Edge Maps for Indoor Scene Layout Prediction. 936-944 - Hang Su, Subhransu Maji, Evangelos Kalogerakis, Erik G. Learned-Miller:
Multi-view Convolutional Neural Networks for 3D Shape Recognition. 945-953 - Alexander Krull, Eric Brachmann, Frank Michel, Michael Ying Yang, Stefan Gumhold, Carsten Rother:
Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images. 954-962 - Matea Donlic, Tomislav Petkovic, Tomislav Pribanic:
3D Surface Profilometry Using Phase Shifting of De Bruijn Pattern. 963-971 - Zhuoyuan Chen, Xun Sun, Liang Wang, Yinan Yu, Chang Huang:
A Deep Visual Correspondence Embedding Model for Stereo Matching Costs. 972-980 - Michael J. Wilber, Iljung S. Kwak, David J. Kriegman, Serge J. Belongie:
Learning Concept Embeddings with Combined Human-Machine Expertise. 981-989 - Xin Lu, Zhe Lin, Xiaohui Shen, Radomír Mech, James Z. Wang:
Deep Multi-patch Aggregation Network for Image Style, Aesthetics, and Quality Estimation. 990-998 - Xiaodan Liang, Si Liu, Yunchao Wei, Luoqi Liu, Liang Lin, Shuicheng Yan:
Towards Computational Baby Learning: A Weakly-Supervised Approach for Object Detection. 999-1007 - Kevin D. Tang, Manohar Paluri, Li Fei-Fei, Robert Fergus, Lubomir D. Bourdev:
Improving Image Classification with Location Context. 1008-1016 - Yu-Wei Chao, Zhan Wang, Yugeng He, Jiaxuan Wang, Jia Deng:
HICO: A Benchmark for Recognizing Human-Object Interactions in Images. 1017-1025 - Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun:
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification. 1026-1034 - Michele Fenzi, Laura Leal-Taixé, Jörn Ostermann, Tinne Tuytelaars:
Continuous Pose Estimation with a Spatial Ensemble of Fisher Regressors. 1035-1043 - Fatih Çakir, Stan Sclaroff:
Adaptive Hashing for Fast Similarity Search. 1044-1052 - David F. Fouhey, Wajahat Hussain, Abhinav Gupta, Martial Hebert:
Single Image 3D without a Single 3D Image. 1053-1061 - Junshi Huang, Rogério Schmidt Feris, Qiang Chen, Shuicheng Yan:
Cross-Domain Image Retrieval with a Dual Attribute-Aware Ranking Network. 1062-1070 - Nikita Prabhu, R. Venkatesh Babu:
Attribute-Graph: A Graph Based Approach to Image Ranking. 1071-1079 - Georgia Gkioxari, Ross B. Girshick, Jitendra Malik:
Contextual Action Recognition with R*CNN. 1080-1088 - Rachit Dubey, Joshua C. Peterson, Aditya Khosla, Ming-Hsuan Yang, Bernard Ghanem:
What Makes an Object Memorable? 1089-1097 - Kun Ding, Chunlei Huo, Bin Fan, Chunhong Pan:
kNN Hashing with Factorized Neighborhood Representation. 1098-1106