Computer Vision – ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part IV

Front Matter....Pages I-XXIX
Front Matter....Pages 1-1
Generating Visual Explanations....Pages 3-19
Marker-Less 3D Human Motion Capture with Monocular Image Sequence and Height-Maps....Pages 20-36
Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons....Pages 37-53
Manhattan-World Urban Reconstruction from Point Clouds....Pages 54-69
From Multiview Image Curves to 3D Drawings....Pages 70-87
Shape from Selfies: Human Body Shape Estimation Using CCA Regression Forests....Pages 88-104
Can We Jointly Register and Reconstruct Creased Surfaces by Shape-from-Template Accurately?....Pages 105-120
Distractor-Supported Single Target Tracking in Extremely Cluttered Scenes....Pages 121-136
Connectionist Temporal Modeling for Weakly Supervised Action Labeling....Pages 137-153
Deep Joint Image Filtering....Pages 154-169
Efficient Multi-frequency Phase Unwrapping Using Kernel Density Estimation....Pages 170-185
A Multi-scale CNN for Affordance Segmentation in RGB Images....Pages 186-201
Hierarchical Dynamic Parsing and Encoding for Action Recognition....Pages 202-217
Distinct Class-Specific Saliency Maps for Weakly Supervised Semantic Segmentation....Pages 218-234
A Diagram is Worth a Dozen Images....Pages 235-251
Automatic Attribute Discovery with Neural Activations....Pages 252-268
“What Happens If...” Learning to Predict the Effect of Forces in Images....Pages 269-285
View Synthesis by Appearance Flow....Pages 286-301
Top-Down Learning for Structured Labeling with Convolutional Pseudoprior....Pages 302-317
Generative Image Modeling Using Style and Structure Adversarial Networks....Pages 318-335
Front Matter....Pages 1-1
Joint Learning of Semantic and Latent Attributes....Pages 336-353
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection....Pages 354-370
Deep Specialized Network for Illuminant Estimation....Pages 371-387
Weakly-Supervised Semantic Segmentation Using Motion Cues....Pages 388-404
Human-in-the-Loop Person Re-identification....Pages 405-422
Real-Time Monocular Segmentation and Pose Tracking of Multiple Objects....Pages 423-438
Estimation of Human Body Shape in Motion with Wide Clothing....Pages 439-454
A Shape-Based Approach for Salient Object Detection Using Deep Learning....Pages 455-470
Fast Optical Flow Using Dense Inverse Search....Pages 471-488
Global Registration of 3D Point Sets via LRS Decomposition....Pages 489-504
Recognition from Hand Cameras: A Revisit with Deep Learning....Pages 505-521
Front Matter....Pages 523-523
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks....Pages 525-542
Top-Down Neural Attention by Excitation Backprop....Pages 543-559
Learning Recursive Filters for Low-Level Vision via a Hybrid Neural Network....Pages 560-576
Learning Representations for Automatic Colorization....Pages 577-593
Front Matter....Pages 595-595
Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation....Pages 597-613
Learning Without Forgetting....Pages 614-629
Identity Mappings in Deep Residual Networks....Pages 630-645
Deep Networks with Stochastic Depth....Pages 646-661
Less Is More: Towards Compact CNNs....Pages 662-677
Front Matter....Pages 595-595
Unsupervised Visual Representation Learning by Graph-Based Consistent Constraints....Pages 678-694
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation....Pages 695-711
Patch-Based Low-Rank Matrix Completion for Learning of Shape and Motion Models from Few Training Samples....Pages 712-727
Chained Predictions Using Convolutional Neural Networks....Pages 728-743
Multi-region Two-Stream R-CNN for Action Detection....Pages 744-759
Semantic Co-segmentation in Videos....Pages 760-775
Attribute2Image: Conditional Image Generation from Visual Attributes....Pages 776-791
Modeling Context Between Objects for Referring Expression Understanding....Pages 792-807
Friction from Reflectance: Deep Reflectance Codes for Predicting Physical Surface Properties from One-Shot In-Field Reflectance....Pages 808-824
Saliency Detection with Recurrent Fully Convolutional Networks....Pages 825-841
Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks....Pages 842-857
Temporal Model Adaptation for Person Re-identification....Pages 858-877
Back Matter....Pages 879-881