Papers
Unsupervised Video Summarization With Adversarial LSTM Networks
Behrooz Mahasseni, Michael Lam, Sinisa Todorovic
Generating Holistic 3D Scene Abstractions for Text-Based Image Retrieval
Ang Li, Jin Sun, Joe Yue-Hei Ng et al.
Surface Motion Capture Transfer With Gaussian Process Regression
Adnane Boukhayma, Jean-Sebastien Franco, Edmond Boyer
Template Matching With Deformable Diversity Similarity
Itamar Talmi, Roey Mechrez, Lihi Zelnik-Manor
DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data
Swaminathan Gurumurthy, Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu
Temporal Convolutional Networks for Action Segmentation and Detection
Colin Lea, Michael D. Flynn, Rene Vidal et al.
Binary Coding for Partial Action Analysis With Limited Observation Ratios
Jie Qin, Li Liu, Ling Shao et al.
Learning to Detect Salient Objects With Image-Level Supervision
Lijun Wang, Huchuan Lu, Yifan Wang et al.
Revisiting the Variable Projection Method for Separable Nonlinear Least Squares Problems
Je Hyeong Hong, Christopher Zach, Andrew Fitzgibbon
Correlational Gaussian Processes for Cross-Domain Visual Recognition
Chengjiang Long, Gang Hua
Learning From Synthetic Humans
Gul Varol, Javier Romero, Xavier Martin et al.
A Non-Convex Variational Approach to Photometric Stereo Under Inaccurate Lighting
Yvain Queau, Tao Wu, Francois Lauze et al.
Learning by Association -- A Versatile Semi-Supervised Training Method for Neural Networks
Philip Haeusser, Alexander Mordvintsev, Daniel Cremers
Material Classification Using Frequency- and Depth-Dependent Time-Of-Flight Distortion
Kenichiro Tanaka, Yasuhiro Mukaigawa, Takuya Funatomi et al.
Position Tracking for Virtual Reality Using Commodity WiFi
Manikanta Kotaru, Sachin Katti
Towards a Quality Metric for Dense Light Fields
Vamsi Kiran Adhikarla, Marek Vinkler, Denis Sumin et al.
3D Face Morphable Models "In-The-Wild"
James Booth, Epameinondas Antonakos, Stylianos Ploumpis et al.
Face Normals "In-The-Wild" Using Fully Convolutional Networks
George Trigeorgis, Patrick Snape, Iasonas Kokkinos et al.
Designing Effective Inter-Pixel Information Flow for Natural Image Matting
Yagiz Aksoy, Tunc Ozan Aydin, Marc Pollefeys
Local Binary Convolutional Neural Networks
Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides
Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation
Hao Zhao, Ming Lu, Anbang Yao et al.
Graph-Structured Representations for Visual Question Answering
Damien Teney, Lingqiao Liu, Anton van den Hengel
Optimal learning via local entropies and sample compression
Zhivotovskiy Nikita
A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics
Yuchen Zhang, Percy Liang, Moses Charikar
Empirical Risk Minimization for Stochastic Convex Optimization: $O(1/n)$- and $O(1/n^2)$-type of Risk Bounds
Lijun Zhang, Tianbao Yang, Rong Jin