SHOWMe: Benchmarking Object-agnostic Hand-Object 3D Reconstruction-Reference-Cited by-同舟云学术

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SHOWMe: Benchmarking Object-agnostic Hand-Object 3D Reconstruction

Published:2023-10-02 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
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Author:

Swamy Anilkumar¹,Leroy Vincent¹,Weinzaepfel Philippe¹,Baradel Fabien¹,Galaaoui Salma¹,Brégier Romain¹,Armando Matthieu¹,Franco Jean-Sebastien²,Rogez Grégory¹

Affiliation:

1. NAVER LABS Europe

2. Inria Centre at the University Grenoble Alpes

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10350357/10350360/10350530.pdf?arnumber=10350530

Reference58 articles.

1. Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation Under Hand-Object Interaction

2. Motion Capture of Hands in Action Using Discriminative Salient Points

3. Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions

4. PoseBERT: A Generic Transformer Module for Temporal 3D Human Modeling

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SHOWMe: Robust object-agnostic hand-object 3D reconstruction from RGB video;Computer Vision and Image Understanding;2024-10

2. Hand-Object Pose Estimation and Reconstruction Based on Signed Distance Field and Multiscale Feature Interaction;IEEE Transactions on Industrial Informatics;2024-09

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