Papers
ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes
Yuhua Chen, Wen Li, Luc Van Gool
Inference in Higher Order MRF-MAP Problems With Small and Large Cliques
Ishant Shanu, Chetan Arora, S.N. Maheshwari
CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization
Frederick Tung, Greg Mori
Controllable Video Generation With Sparse Trajectories
Zekun Hao, Xun Huang, Serge Belongie
What Have We Learned From Deep Representations for Action Recognition?
Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes et al.
Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification
Xiang Long, Chuang Gan, Gerard de Melo et al.
Learning Compressible 360° Video Isomers
Yu-Chuan Su, Kristen Grauman
Optimizing Video Object Detection via a Scale-Time Lattice
Kai Chen, Jiaqi Wang, Shuo Yang et al.
LAMV: Learning to Align and Match Videos With Kernelized Temporal Layers
Lorenzo Baraldi, Matthijs Douze, Rita Cucchiara et al.
Non-Local Neural Networks
Xiaolong Wang, Ross Girshick, Abhinav Gupta et al.
Neural Sign Language Translation
Necati Cihan Camgoz, Simon Hadfield, Oscar Koller et al.
Repulsion Loss: Detecting Pedestrians in a Crowd
Xinlong Wang, Tete Xiao, Yuning Jiang et al.
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
Arun Mallya, Svetlana Lazebnik
Beyond Trade-Off: Accelerate FCN-Based Face Detector With Higher Accuracy
Guanglu Song, Yu Liu, Ming Jiang et al.
Visual Grounding via Accumulated Attention
Chaorui Deng, Qi Wu, Qingyao Wu et al.
Learning Visual Knowledge Memory Networks for Visual Question Answering
Zhou Su, Chen Zhu, Yinpeng Dong et al.
Learning Multi-Instance Enriched Image Representations via Non-Greedy Ratio Maximization of the l1-Norm Distances
Kai Liu, Hua Wang, Feiping Nie et al.
Bidirectional Retrieval Made Simple
Jônatas Wehrmann, Rodrigo C. Barros
Learning Attribute Representations With Localization for Flexible Fashion Search
Kenan E. Ak, Ashraf A. Kassim, Joo Hwee Lim et al.
Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning
Vasili Ramanishka, Yi-Ting Chen, Teruhisa Misu et al.
Learning From Noisy Web Data With Category-Level Supervision
Li Niu, Qingtao Tang, Ashok Veeraraghavan et al.
Differential Attention for Visual Question Answering
Badri Patro, Vinay P. Namboodiri
Zero-Shot Kernel Learning
Hongguang Zhang, Piotr Koniusz
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank
Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov