ICCV19: Oral Session 3.2B - Video & Action Understanding

ICCV 2019

Link to indexed video: https://conftube.com/video/8oUPyhwzIDo 1. GradNet: Gradient-Guided Network for Visual Object Tracking Peixia Li, Boyu Chen, Wanli Ouyang, Dong Wang, Xiaoyun Yang, Huchuan Lu https://conftube.com/video/8oUPyhwzIDo?tocitem=2 2. FAMNet: Joint Learning of Feature, Affinity and Multi-Dimensional Assignment for Online Multiple Object Tracking Peng Chu, Haibin Ling https://conftube.com/video/8oUPyhwzIDo?tocitem=9 3. Learning Discriminative Model Prediction for Tracking Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte https://conftube.com/video/8oUPyhwzIDo?tocitem=18 4. DynamoNet: Dynamic Action and Motion Network Ali Diba, Vivek Sharma, Luc Van Gool, Rainer Stiefelhagen https://conftube.com/video/8oUPyhwzIDo?tocitem=30 5. SlowFast Networks for Video Recognition Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, Kaiming He https://conftube.com/video/8oUPyhwzIDo?tocitem=37 6. Generative Multi-View Human Action Recognition Lichen Wang, Zhengming Ding, Zhiqiang Tao, Yunyu Liu, Yun Fu https://conftube.com/video/8oUPyhwzIDo?tocitem=46 7. Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition Wenhao Wu, Dongliang He, Xiao Tan, Shifeng Chen, Shilei Wen https://conftube.com/video/8oUPyhwzIDo?tocitem=54 8. SCSampler: Sampling Salient Clips From Video for Efficient Action Recognition Bruno Korbar, Du Tran, Lorenzo Torresani https://conftube.com/video/8oUPyhwzIDo?tocitem=60 9. Weakly Supervised Energy-Based Learning for Action Segmentation Jun Li, Peng Lei, Sinisa Todorovic https://conftube.com/video/8oUPyhwzIDo?tocitem=70 10. What Would You Expect? Anticipating Egocentric Actions With Rolling-Unrolling LSTMs and Modality Attention Antonino Furnari, Giovanni Maria Farinella https://conftube.com/video/8oUPyhwzIDo?tocitem=80 11. PIE: A Large-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory Prediction Amir Rasouli, Iuliia Kotseruba, Toni Kunic, John K. Tsotsos https://conftube.com/video/8oUPyhwzIDo?tocitem=91 12. STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction Yingfan Huang, Huikun Bi, Zhaoxin Li, Tianlu Mao, Zhaoqi Wang https://conftube.com/video/8oUPyhwzIDo?tocitem=106 13. Learning Motion in Feature Space: Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection Khoi-Nguyen C. Mac, Dhiraj Joshi, Raymond A. Yeh, Jinjun Xiong, Rogerio S. Feris, Minh N. Do https://conftube.com/video/8oUPyhwzIDo?tocitem=113 14. Dual Attention Matching for Audio-Visual Event Localization Yu Wu, Linchao Zhu, Yan Yan, Yi Yang https://conftube.com/video/8oUPyhwzIDo?tocitem=120 15. Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference Mahesh Subedar, Ranganath Krishnan, Paulo Lopez Meyer, Omesh Tickoo, Jonathan Huang https://conftube.com/video/8oUPyhwzIDo?tocitem=130 16. Non-Local Recurrent Neural Memory for Supervised Sequence Modeling Canmiao Fu, Wenjie Pei, Qiong Cao, Chaopeng Zhang, Yong Zhao, Xiaoyong Shen, Yu-Wing Tai https://conftube.com/video/8oUPyhwzIDo?tocitem=139 17. Temporal Attentive Alignment for Large-Scale Video Domain Adaptation Min-Hung Chen, Zsolt Kira, Ghassan AlRegib, Jaekwon Yoo, Ruxin Chen, Jian Zheng https://conftube.com/video/8oUPyhwzIDo?tocitem=146 18. Action Assessment by Joint Relation Graphs Jia-Hui Pan, Jibin Gao, Wei-Shi Zheng https://conftube.com/video/8oUPyhwzIDo?tocitem=159 19. Unsupervised Procedure Learning via Joint Dynamic Summarization Ehsan Elhamifar, Zwe Naing https://conftube.com/video/8oUPyhwzIDo?tocitem=167 20. ViSiL: Fine-Grained Spatio-Temporal Video Similarity Learning Giorgos Kordopatis-Zilos, Symeon Papadopoulos, Ioannis Patras, Ioannis Kompatsiaris https://conftube.com/video/8oUPyhwzIDo?tocitem=177