300 citations · 306 across the 6 of their papers we have counts for
6 papers
DeepMix: Online Auto Data Augmentation for Robust Visual Object Tracking
Ziyi Cheng, Xuhong Ren, Felix Juefei-Xu +4
Online updating of the object model via samples from historical frames is of great importance for accurate visual object tracking. Recent works mainly focus on constructing effecti…
Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem
Chengwei Zhang, Shan Jin, Wanli Xue +3
The adaptive traffic signal control (ATSC) problem can be modeled as a multiagent cooperative game among urban intersections, where intersections cooperate to optimize their common…
LasHeR: A Large-scale High-diversity Benchmark for RGBT Tracking
Chenglong Li, Wanlin Xue, Yaqing Jia +4
RGBT tracking receives a surge of interest in the computer vision community, but this research field lacks a large-scale and high-diversity benchmark dataset, which is essential fo…
Learning Spatio-Appearance Memory Network for High-Performance Visual Tracking
Fei Xie, Wankou Yang, Bo Liu +3
Existing visual object tracking usually learns a bounding-box based template to match the targets across frames, which cannot accurately learn a pixel-wise representation, thereby…
SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions
Chengwei Zhang, Xiaohong Li, Jianye Hao +5
Although many reinforcement learning methods have been proposed for learning the optimal solutions in single-agent continuous-action domains, multiagent coordination domains with c…
SA-IGA: A Multiagent Reinforcement Learning Method Towards Socially Optimal Outcomes
Chengwei Zhang, Xiaohong Li, Jianye Hao +3
In multiagent environments, the capability of learning is important for an agent to behave appropriately in face of unknown opponents and dynamic environment. From the system desig…