270 citations · 591 across the 48 of their papers we have counts for
4 papers · 1 filter
LATFormer: Locality-Aware Point-View Fusion Transformer for 3D Shape Recognition
Xinwei He, Silin Cheng, Dingkang Liang +3
Recently, 3D shape understanding has achieved significant progress due to the advances of deep learning models on various data formats like images, voxels, and point clouds. Among…
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.…
TransCrowd: weakly-supervised crowd counting with transformers
Dingkang Liang, Xiwu Chen, Wei Xu +2
The mainstream crowd counting methods usually utilize the convolution neural network (CNN) to regress a density map, requiring point-level annotations. However, annotating each per…
Focal Inverse Distance Transform Maps for Crowd Localization
Dingkang Liang, Wei Xu, Yingying Zhu +1
In this paper, we focus on the crowd localization task, a crucial topic of crowd analysis. Most regression-based methods utilize convolution neural networks (CNN) to regress a dens…