Learning 6-DoF Object Poses to Grasp Category-Level Objects by Language Instructions-Reference-Cited by-同舟云学术

Learning 6-DoF Object Poses to Grasp Category-Level Objects by Language Instructions

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Robotics and Automation (ICRA)
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Author:

Cheang Chilam¹,Lin Haitao¹,Fu Yanwei²,Xue Xiangyang¹

Affiliation:

1. Fudan University

2. Fudan University,School of Data Science

Funder

NSFC

STCSM

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9811522/9811357/09811367.pdf?arnumber=9811367

Reference40 articles.

1. MAttNet: Modular Attention Network for Referring Expression Comprehension

2. Cross-Modal Self-Attention Network for Referring Image Segmentation

3. DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion

4. More-fusion: multi-object reasoning for 6d pose estimation from volumetric fusion;wada;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,0

5. Shape prior deformation for categorical 6d object pose and size estimation;tian;European Conference on Computer Vision,0

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3. GVGNet: Gaze-Directed Visual Grounding for Learning Under-Specified Object Referring Intention;IEEE Robotics and Automation Letters;2023-09

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