221 citations · 1.4k across the 88 of their papers we have counts for
7 papers · 2 filters
HDNet: A Hierarchically Decoupled Network for Crowd Counting
Chenliang Gu, Changan Wang, Bin-Bin Gao +2
Recently, density map regression-based methods have dominated in crowd counting owing to their excellent fitting ability on density distribution. However, further improvement tends…
Improving the Reliability for Confidence Estimation
Haoxuan Qu, Yanchao Li, Lin Geng Foo +3
Confidence estimation, a task that aims to evaluate the trustworthiness of the model's prediction output during deployment, has received lots of research attention recently, due to…
Heatmap Distribution Matching for Human Pose Estimation
Haoxuan Qu, Li Xu, Yujun Cai +2
For tackling the task of 2D human pose estimation, the great majority of the recent methods regard this task as a heatmap estimation problem, and optimize the heatmap prediction us…
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation
Li Xu, Haoxuan Qu, Jason Kuen +2
Video scene graph generation (VidSGG) aims to parse the video content into scene graphs, which involves modeling the spatio-temporal contextual information in the video. However, d…
Surface Representation for Point Clouds
Haoxi Ran, Jun Liu, Chengjie Wang
Most prior work represents the shapes of point clouds by coordinates. However, it is insufficient to describe the local geometry directly. In this paper, we present \textbf{RepSurf…
Towards Class-agnostic Tracking Using Feature Decorrelation in Point Clouds
Shengjing Tian, Jun Liu, Xiuping Liu
Single object tracking in point clouds has been attracting more and more attention owing to the presence of LiDAR sensors in 3D vision. However, the existing methods based on deep…