Papers
Minimizing Human Effort in Interactive Tracking by Incremental Learning of Model Parameters
Arridhana Ciptadi, James M. Rehg
Learning to Divide and Conquer for Online Multi-Target Tracking
Francesco Solera, Simone Calderara, Rita Cucchiara
FollowMe: Efficient Online Min-Cost Flow Tracking With Bounded Memory and Computation
Philip Lenz, Andreas Geiger, Raquel Urtasun
Contour Flow: Middle-Level Motion Estimation by Combining Motion Segmentation and Contour Alignment
Huijun Di, Qingxuan Shi, Feng Lv et al.
Recurrent Network Models for Human Dynamics
Katerina Fragkiadaki, Sergey Levine, Panna Felsen et al.
TRIC-track: Tracking by Regression With Incrementally Learned Cascades
Xiaomeng Wang, Michel Valstar, Brais Martinez et al.
Unsupervised Trajectory Clustering via Adaptive Multi-Kernel-Based Shrinkage
Hongteng Xu, Yang Zhou, Weiyao Lin et al.
SpeDo: 6 DOF Ego-Motion Sensor Using Speckle Defocus Imaging
Kensei Jo, Mohit Gupta, Shree K. Nayar
Learning Spatially Regularized Correlation Filters for Visual Tracking
Martin Danelljan, Gustav Hager, Fahad Shahbaz Khan et al.
Local Subspace Collaborative Tracking
Lin Ma, Xiaoqin Zhang, Weiming Hu et al.
An Adaptive Data Representation for Robust Point-Set Registration and Merging
Dylan Campbell, Lars Petersson
Dual-Feature Warping-Based Motion Model Estimation
Shiwei Li, Lu Yuan, Jian Sun et al.
Learning Image and User Features for Recommendation in Social Networks
Xue Geng, Hanwang Zhang, Jingwen Bian et al.
Conditional High-Order Boltzmann Machine: A Supervised Learning Model for Relation Learning
Yan Huang, Wei Wang, Liang Wang
Structured Feature Selection
Tian Gao, Ziheng Wang, Qiang Ji
Predicting Deep Zero-Shot Convolutional Neural Networks Using Textual Descriptions
Jimmy Lei Ba, Kevin Swersky, Sanja Fidler et al.
Multi-View Subspace Clustering
Hongchang Gao, Feiping Nie, Xuelong Li et al.
Recursive Frechet Mean Computation on the Grassmannian and its Applications to Computer Vision
Rudrasis Chakraborty, Baba C. Vemuri
A Supervised Low-Rank Method for Learning Invariant Subspaces
Farzad Siyahjani, Ranya Almohsen, Sinan Sabri et al.
Semi-Supervised Zero-Shot Classification With Label Representation Learning
Xin Li, Yuhong Guo, Dale Schuurmans
Infinite Feature Selection
Giorgio Roffo, Simone Melzi, Marco Cristani
Multi-View Domain Generalization for Visual Recognition
Li Niu, Wen Li, Dong Xu
An NMF Perspective on Binary Hashing
Lopamudra Mukherjee, Sathya N. Ravi, Vamsi K. Ithapu et al.
Bayesian Model Adaptation for Crowd Counts
Bo Liu, Nuno Vasconcelos
Zero-Shot Learning via Semantic Similarity Embedding
Ziming Zhang, Venkatesh Saligrama