244 citations · 757 across the 11 of their papers we have counts for
18 papers · 1 filter
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
Dawei Du, Longyin Wen, Pengfei Zhu +52
Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint.…
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning
Tao Han, Junyu Gao, Yuan Yuan +1
Unlabeled data learning has attracted considerable attention recently. However, it is still elusive to extract the expected high-level semantic feature with mere unsupervised learn…
A Flow Base Bi-path Network for Cross-scene Video Crowd Understanding in Aerial View
Zhiyuan Zhao, Tao Han, Junyu Gao +2
Drones shooting can be applied in dynamic traffic monitoring, object detecting and tracking, and other vision tasks. The variability of the shooting location adds some intractable…
Pixel-wise Crowd Understanding via Synthetic Data
Qi Wang, Junyu Gao, Wei Lin +1
Crowd analysis via computer vision techniques is an important topic in the field of video surveillance, which has wide-spread applications including crowd monitoring, public safety…
Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions
Di Hu, Lichao Mou, Qingzhong Wang +4
Visual crowd counting has been recently studied as a way to enable people counting in crowd scenes from images. Albeit successful, vision-based crowd counting approaches could fail…
Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting
Qi Wang, Tao Han, Junyu Gao +1
Cross-domain crowd counting (CDCC) is a hot topic due to its importance in public safety. The purpose of CDCC is to alleviate the domain shift between the source and target domain.…