86 citations · 89 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 2 cited
Boosting Object Detection with Zero-Shot Day-Night Domain Adaptation
Zhipeng Du, Miaojing Shi, Jiankang Deng
Detecting objects in low-light scenarios presents a persistent challenge, as detectors trained on well-lit data exhibit significant performance degradation on low-light data due to…
cs.CV2022★ 1 cited
Domain-General Crowd Counting in Unseen Scenarios
Zhipeng Du, Jiankang Deng, Miaojing Shi
Domain shift across crowd data severely hinders crowd counting models to generalize to unseen scenarios. Although domain adaptive crowd counting approaches close this gap to a cert…
cs.CV2022★ 86 cited
Redesigning Multi-Scale Neural Network for Crowd Counting
Zhipeng Du, Miaojing Shi, Jiankang Deng +1
Perspective distortions and crowd variations make crowd counting a challenging task in computer vision. To tackle it, many previous works have used multi-scale architecture in deep…