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EfficientCAPER: An End-to-End Framework for Fast and Robust Category-Level Articulated Object Pose Estimation

Yuanbo Wu Orcid Logo, Xinyi Yu, Haonan Jiang, Li Zhang, Liu Liu, Linlin Ou

38 Conference on Neural Information Processing Systems (NeurIPS 2024)

Swansea University Author: Yuanbo Wu Orcid Logo

Published in: 38 Conference on Neural Information Processing Systems (NeurIPS 2024)
Published: 2024
Online Access: https://nips.cc/virtual/2024/poster/95615
URI: https://cronfa.swan.ac.uk/Record/cronfa68146
first_indexed 2025-01-23T15:00:17Z
last_indexed 2025-01-23T20:48:46Z
id cronfa68146
recordtype SURis
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spelling 2025-01-23T15:00:15.4573504 v2 68146 2024-11-02 EfficientCAPER: An End-to-End Framework for Fast and Robust Category-Level Articulated Object Pose Estimation 205b1ac5a767e977bebb5d6afd770784 0000-0001-6119-058X Yuanbo Wu Yuanbo Wu true false 2024-11-02 MACS Conference Paper/Proceeding/Abstract 38 Conference on Neural Information Processing Systems (NeurIPS 2024) 11 12 2024 2024-12-11 https://nips.cc/virtual/2024/poster/95615 Poster COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University 2025-01-23T15:00:15.4573504 2024-11-02T13:14:21.3194416 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Yuanbo Wu 0000-0001-6119-058X 1 Xinyi Yu 2 Haonan Jiang 3 Li Zhang 4 Liu Liu 5 Linlin Ou 6
title EfficientCAPER: An End-to-End Framework for Fast and Robust Category-Level Articulated Object Pose Estimation
spellingShingle EfficientCAPER: An End-to-End Framework for Fast and Robust Category-Level Articulated Object Pose Estimation
Yuanbo Wu
title_short EfficientCAPER: An End-to-End Framework for Fast and Robust Category-Level Articulated Object Pose Estimation
title_full EfficientCAPER: An End-to-End Framework for Fast and Robust Category-Level Articulated Object Pose Estimation
title_fullStr EfficientCAPER: An End-to-End Framework for Fast and Robust Category-Level Articulated Object Pose Estimation
title_full_unstemmed EfficientCAPER: An End-to-End Framework for Fast and Robust Category-Level Articulated Object Pose Estimation
title_sort EfficientCAPER: An End-to-End Framework for Fast and Robust Category-Level Articulated Object Pose Estimation
author_id_str_mv 205b1ac5a767e977bebb5d6afd770784
author_id_fullname_str_mv 205b1ac5a767e977bebb5d6afd770784_***_Yuanbo Wu
author Yuanbo Wu
author2 Yuanbo Wu
Xinyi Yu
Haonan Jiang
Li Zhang
Liu Liu
Linlin Ou
format Conference Paper/Proceeding/Abstract
container_title 38 Conference on Neural Information Processing Systems (NeurIPS 2024)
publishDate 2024
institution Swansea University
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
url https://nips.cc/virtual/2024/poster/95615
document_store_str 0
active_str 0
published_date 2024-12-11T05:47:51Z
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score 11.048453