Human Hands as Probes for Interactive Object Understanding-Reference-Cited by-同舟云学术

Human Hands as Probes for Interactive Object Understanding

Published:2022-06 Issue: Volume: Page:
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Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Goyal Mohit¹,Modi Sahil¹,Goyal Rishabh¹,Gupta Saurabh¹

Affiliation:

1. University of Illinois Urbana-Champaign

Funder

NSF

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09879106.pdf?arnumber=9879106

Reference65 articles.

1. Dexvip: Learning dexterous grasping with human hand pose priors from video;mandikal;Proceedings of the Conference on Robot Learning (CoRL),0

2. Dexterous robotic grasping with object-centric visual affordances;mandikal;Proceedings of the IEEE International Conference on Robotics and Automation (ICRA),0

3. Deep learning for detecting robotic grasps

4. The Functional Correspondence Problem

5. H2O: Two Hands Manipulating Objects for First Person Interaction Recognition

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3. One-Shot Affordance Learning (OSAL): Learning to Manipulate Articulated Objects by Observing Once;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

4. Understanding 3D Object Interaction from a Single Image;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

5. Pretrained Language Models as Visual Planners for Human Assistance;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01