32 citations · 39 across the 4 of their papers we have counts for
4 papers
Mask Atari for Deep Reinforcement Learning as POMDP Benchmarks
Yang Shao, Quan Kong, Tadayuki Matsumura +3
We present Mask Atari, a new benchmark to help solve partially observable Markov decision process (POMDP) problems with Deep Reinforcement Learning (DRL)-based approaches. To achie…
Robust Unsupervised Multi-Object Tracking in Noisy Environments
C. -H. Huck Yang, Mohit Chhabra, Y. -C. Liu +3
Physical processes, camera movement, and unpredictable environmental conditions like the presence of dust can induce noise and artifacts in video feeds. We observe that popular uns…
Cycle-Contrast for Self-Supervised Video Representation Learning
Quan Kong, Wenpeng Wei, Ziwei Deng +2
We present Cycle-Contrastive Learning (CCL), a novel self-supervised method for learning video representation. Following a nature that there is a belong and inclusion relation of v…
Active Generative Adversarial Network for Image Classification
Quan Kong, Bin Tong, Martin Klinkigt +3
Sufficient supervised information is crucial for any machine learning models to boost performance. However, labeling data is expensive and sometimes difficult to obtain. Active lea…