Papers
Weakly Supervised Summarization of Web Videos
Rameswar Panda, Abir Das, Ziyan Wu et al.
Leveraging Weak Semantic Relevance for Complex Video Event Classification
Chao Li, Jiewei Cao, Zi Huang et al.
Online Real-Time Multiple Spatiotemporal Action Localisation and Prediction
Gurkirt Singh, Suman Saha, Michael Sapienza et al.
TURN TAP: Temporal Unit Regression Network for Temporal Action Proposals
Jiyang Gao, Zhenheng Yang, Kan Chen et al.
Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge
Ryota Hinami, Tao Mei, Shin'ichi Satoh
Temporal Superpixels Based on Proximity-Weighted Patch Matching
Se-Ho Lee, Won-Dong Jang, Chang-Su Kim
CDTS: Collaborative Detection, Tracking, and Segmentation for Online Multiple Object Segmentation in Videos
Yeong Jun Koh, Chang-Su Kim
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses
Christian Rupprecht, Iro Laina, Robert DiPietro et al.
PUnDA: Probabilistic Unsupervised Domain Adaptation for Knowledge Transfer Across Visual Categories
Behnam Gholami, Ognjen (Oggi) Rudovic, Vladimir Pavlovic
Learning Robust Visual-Semantic Embeddings
Yao-Hung Hubert Tsai, Liang-Kang Huang, Ruslan Salakhutdinov
Guided Perturbations: Self-Corrective Behavior in Convolutional Neural Networks
Swami Sankaranarayanan, Arpit Jain, Ser Nam Lim
Predictor Combination at Test Time
Kwang In Kim, James Tompkin, Christian Richardt
Curriculum Dropout
Pietro Morerio, Jacopo Cavazza, Riccardo Volpi et al.
Two-Phase Learning for Weakly Supervised Object Localization
Dahun Kim, Donghyeon Cho, Donggeun Yoo et al.
Hide-And-Seek: Forcing a Network to Be Meticulous for Weakly-Supervised Object and Action Localization
Krishna Kumar Singh, Yong Jae Lee
Aesthetic Critiques Generation for Photos
Kuang-Yu Chang, Kung-Hung Lu, Chu-Song Chen
Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors
Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu
SGN: Sequential Grouping Networks for Instance Segmentation
Shu Liu, Jiaya Jia, Sanja Fidler et al.
Multi-Label Learning of Part Detectors for Heavily Occluded Pedestrian Detection
Chunluan Zhou, Junsong Yuan
Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning
Soravit Changpinyo, Wei-Lun Chao, Fei Sha
Deep Globally Constrained MRFs for Human Pose Estimation
Ioannis Marras, Petar Palasek, Ioannis Patras
Large-Scale Image Retrieval With Attentive Deep Local Features
Hyeonwoo Noh, Andre Araujo, Jack Sim et al.
Monocular 3D Human Pose Estimation by Predicting Depth on Joints
Bruce Xiaohan Nie, Ping Wei, Song-Chun Zhu
DeepRoadMapper: Extracting Road Topology From Aerial Images
Gellert Mattyus, Wenjie Luo, Raquel Urtasun
Interpretable Explanations of Black Boxes by Meaningful Perturbation
Ruth C. Fong, Andrea Vedaldi