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20192023
most citedLeveraging SE(3) Equivariance for Self-Supervised Category-Level Object Pose Estimation

11 citations · 18 across the 4 of their papers we have counts for

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5 papers · 1 filter

cs.CV2023★ 3 cited

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.…

cs.CV2022★ 1 cited

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…

cs.CV2022★ 3 cited

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…

cs.CV2021★ 11 cited

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…

cs.CV2019

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…