14 citations · 16 across the 3 of their papers we have counts for
3 papers
cs.CV2021★ 1 cited
Which to Match? Selecting Consistent GT-Proposal Assignment for Pedestrian Detection
Yan Luo, Chongyang Zhang, Muming Zhao +2
Accurate pedestrian classification and localization have received considerable attention due to their wide applications such as security monitoring, autonomous driving, etc. Althou…
cs.CV2020★ 14 cited
Where, What, Whether: Multi-modal Learning Meets Pedestrian Detection
Yan Luo, Chongyang Zhang, Muming Zhao +2
Pedestrian detection benefits greatly from deep convolutional neural networks (CNNs). However, it is inherently hard for CNNs to handle situations in the presence of occlusion and…
cs.CV2019★ 1 cited
Towards Locally Consistent Object Counting with Constrained Multi-stage Convolutional Neural Networks
Muming Zhao, Jian Zhang, Chongyang Zhang +1
High-density object counting in surveillance scenes is challenging mainly due to the drastic variation of object scales. The prevalence of deep learning has largely boosted the obj…