6 citations · 14 across the 3 of their papers we have counts for
4 papers
GraspARL: Dynamic Grasping via Adversarial Reinforcement Learning
Tianhao Wu, Fangwei Zhong, Yiran Geng +4
Grasping moving objects, such as goods on a belt or living animals, is an important but challenging task in robotics. Conventional approaches rely on a set of manually defined obje…
VideoSSL: Semi-Supervised Learning for Video Classification
Longlong Jing, Toufiq Parag, Zhe Wu +2
We propose a semi-supervised learning approach for video classification, VideoSSL, using convolutional neural networks (CNN). Like other computer vision tasks, existing supervised…
Layout-induced Video Representation for Recognizing Agent-in-Place Actions
Ruichi Yu, Hongcheng Wang, Ang Li +3
We address the recognition of agent-in-place actions, which are associated with agents who perform them and places where they occur, in the context of outdoor home surveillance. We…
ReMotENet: Efficient Relevant Motion Event Detection for Large-scale Home Surveillance Videos
Ruichi Yu, Hongcheng Wang, Larry S. Davis
This paper addresses the problem of detecting relevant motion caused by objects of interest (e.g., person and vehicles) in large scale home surveillance videos. The traditional met…