11 citations · 18 across the 4 of their papers we have counts for
5 papers · 1 filter
Group Pose: A Simple Baseline for End-to-End Multi-person Pose Estimation
Huan Liu, Qiang Chen, Zichang Tan +9
In this paper, we study the problem of end-to-end multi-person pose estimation. State-of-the-art solutions adopt the DETR-like framework, and mainly develop the complex decoder, e.…
Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation
Yangheng Zhao, Jun Wang, Xiaolong Li +4
3D point cloud semantic segmentation is one of the fundamental tasks for 3D scene understanding and has been widely used in the metaverse applications. Many recent 3D semantic segm…
Tracking and Reconstructing Hand Object Interactions from Point Cloud Sequences in the Wild
Jiayi Chen, Mi Yan, Jiazhao Zhang +6
In this work, we tackle the challenging task of jointly tracking hand object pose and reconstructing their shapes from depth point cloud sequences in the wild, given the initial po…
Leveraging SE(3) Equivariance for Self-Supervised Category-Level Object Pose Estimation
Xiaolong Li, Yijia Weng, Li Yi +4
Category-level object pose estimation aims to find 6D object poses of previously unseen object instances from known categories without access to object CAD models. To reduce the hu…
Category-Level Articulated Object Pose Estimation
Xiaolong Li, He Wang, Li Yi +3
This project addresses the task of category-level pose estimation for articulated objects from a single depth image. We present a novel category-level approach that correctly accom…