Depth2Action: Exploring Embedded Depth for Large-Scale Action Recognition

15 August 2016

Papers citing "Depth2Action: Exploring Embedded Depth for Large-Scale Action Recognition"

10 / 10 papers shown

Title
DroneAttention: Sparse Weighted Temporal Attention for Drone-Camera Based Activity Recognition Santosh Kumar Yadav Achleshwar Luthra Esha Pahwa K. Tiwari Heena Rathore Hari Mohan Pandey Peter Corcoran 34 12 0 07 Dec 2022
A Comprehensive Study of Deep Video Action Recognition Yi Zhu Xinyu Li Chunhui Liu Mohammadreza Zolfaghari Yuanjun Xiong Chongruo Wu Zhi-Li Zhang Joseph Tighe R. Manmatha Mu Li VLM AI4TS 38 185 0 11 Dec 2020
Exploring Temporal Information for Improved Video Understanding Yi Zhu 23 0 0 25 May 2019
Combined Static and Motion Features for Deep-Networks Based Activity Recognition in Videos Sameera Ramasinghe Jathushan Rajasegaran Vinoj Jayasundara Kanchana Ranasinghe Ranga Rodrigo A. Pasqual 24 13 0 16 Oct 2018
Learning Optical Flow via Dilated Networks and Occlusion Reasoning Yi Zhu Shawn D. Newsam 3DPC 14 13 0 07 May 2018
Deep Texture Manifold for Ground Terrain Recognition Jia Xue Hang Zhang Kristin J. Dana CVBM 37 123 0 29 Mar 2018
Towards Universal Representation for Unseen Action Recognition Yi Zhu Yang Long Yu Guan Shawn D. Newsam Ling Shao AI4TS 22 100 0 22 Mar 2018
Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images Yi Zhu XueQing Deng Shawn D. Newsam 31 51 0 07 Feb 2018
Temporal Segment Networks for Action Recognition in Videos Limin Wang Yuanjun Xiong Zhe Wang Yu Qiao Dahua Lin Xiaoou Tang Luc Van Gool ViT 37 803 0 08 May 2017
UntrimmedNets for Weakly Supervised Action Recognition and Detection Limin Wang Yuanjun Xiong Dahua Lin Luc Van Gool 30 490 0 09 Mar 2017