28 citations · 28 across the 1 of their papers we have counts for
4 papers
Double Anchor R-CNN for Human Detection in a Crowd
Kevin Zhang, Feng Xiong, Peize Sun +3
Detecting human in a crowd is a challenging problem due to the uncertainties of occlusion patterns. In this paper, we propose to handle the crowd occlusion problem in human detecti…
WIDER Face and Pedestrian Challenge 2018: Methods and Results
Chen Change Loy, Dahua Lin, Wanli Ouyang +49
This paper presents a review of the 2018 WIDER Challenge on Face and Pedestrian. The challenge focuses on the problem of precise localization of human faces and bodies, and accurat…
CrowdHuman: A Benchmark for Detecting Human in a Crowd
Shuai Shao, Zijian Zhao, Boxun Li +4
Human detection has witnessed impressive progress in recent years. However, the occlusion issue of detecting human in highly crowded environments is far from solved. To make matter…
SFace: An Efficient Network for Face Detection in Large Scale Variations
Jianfeng Wang, Ye Yuan, Boxun Li +2
Face detection serves as a fundamental research topic for many applications like face recognition. Impressive progress has been made especially with the recent development of convo…