3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2022
IMB-NAS: Neural Architecture Search for Imbalanced Datasets
Rahul Duggal, Shengyun Peng, Hao Zhou +1
Class imbalance is a ubiquitous phenomenon occurring in real world data distributions. To overcome its detrimental effect on training accurate classifiers, existing work follows th…
cs.CV2022★ 1 cited
SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning
Nilaksh Das, Sheng-Yun Peng, Duen Horng Chau
Person tracking using computer vision techniques has wide ranging applications such as autonomous driving, home security and sports analytics. However, the growing threat of advers…
cs.CV2020★ 3 cited
Accurate Anchor Free Tracking
Shengyun Peng, Yunxuan Yu, Kun Wang +1
Visual object tracking is an important application of computer vision. Recently, Siamese based trackers have achieved good accuracy. However, most of Siamese based trackers are not…