4 citations · 4 across the 3 of their papers we have counts for
5 papers
Boundary Voting Network for Ambiguity-Aware Timestamp-Supervised Action Segmentation
Runzhong Zhang, Yueqi Duan, Yang Chen +4
Timestamp-supervised action segmentation aims to segment and classify actions in untrimmed videos with a random frame annotated per action. Precisely localizing action boundaries f…
Learning Efficient and Generalizable Human Representation with Human Gaussian Model
Yifan Liu, Shengjun Zhang, Chensheng Dai +4
Modeling animatable human avatars from videos is a long-standing and challenging problem. While conventional methods require per-instance optimization, recent feed-forward methods…
Ambiguity-aware Point Cloud Segmentation by Adaptive Margin Contrastive Learning
Yang Chen, Yueqi Duan, Haowen Sun +2
This paper proposes an adaptive margin contrastive learning method for 3D semantic segmentation on point clouds. Most existing methods use equally penalized objectives, which ignor…
PointVDP: Learning View-Dependent Projection by Fireworks Rays for 3D Point Cloud Segmentation
Yang Chen, Yueqi Duan, Haowen Sun +3
In this paper, we propose view-dependent projection (VDP) to facilitate point cloud segmentation, designing efficient 3D-to-2D mapping that dynamically adapts to the spatial geomet…
Adaptive Margin Contrastive Learning for Ambiguity-aware 3D Semantic Segmentation
Yang Chen, Yueqi Duan, Runzhong Zhang +1
In this paper, we propose an adaptive margin contrastive learning method for 3D point cloud semantic segmentation, namely AMContrast3D. Most existing methods use equally penalized…