Noah Wiederhold

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Sean Banerjee

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Publications

2025
[c9]
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Ava Megyeri, Noah Wiederhold, Yu Liu, Sean Banerjee, Natasha Kholgade Banerjee:
Safety and Naturalness Perceptions of Robot-to-Human Handovers Performed by Data-Driven Robotic Mimicry of Human Givers. ICRA 2025: 1869-1875
[c8]
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Noah Wiederhold, Sean Banerjee, Natasha Kholgade Banerjee:
Studying Disagreement in Grasp Intentions of Givers and Receivers Engaging in Human-Human Handover. RO-MAN 2025: 120-125
[c7]
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Xinchao Song, Ava Megyeri, Noah Wiederhold, Sean Banerjee, Natasha Kholgade Banerjee:
HI-Grasp: Human-Inspired Grasp Network for Intuitive and Stable Robotic Grasp. RO-MAN 2025: 2101-2106
2024
[c6]
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Matt Duver, Noah Wiederhold, Maria Kyrarini, Sean Banerjee, Natasha Kholgade Banerjee:
VR-Hand-in-Hand: Using Virtual Reality (VR) Hand Tracking For Hand-Object Data Annotation. AIxVR 2024: 325-329
[c5]
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Ava Megyeri, Noah Wiederhold, Maria Kyrarini, Sean Banerjee, Natasha Kholgade Banerjee:
GraspPC: Generating Diverse Hand Grasp Point Clouds on Objects. RO-MAN 2024: 131-138
2023
[c4]
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  - conf/arso/WiederholdLLPTBB23
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Noah Wiederhold, Mingjun Li, Nikolas Lamb, DiMaggio Paris, Alaina Tulskie, Sean Banerjee, Natasha Kholgade Banerjee:
Studying How Object Handoff Orientations Relate to Subject Preferences on Handover. ARSO 2023: 40-45
[c3]
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Noah Wiederhold, Sean Banerjee, Natasha Kholgade Banerjee:
Understanding Agreement in Giver and Receiver Intentions on Grasp in Human-Human Handover. IRC 2023: 125-126
[c2]
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Noah Wiederhold, Ava Megyeri, DiMaggio Paris, Sean Banerjee, Natasha Banerjee:
HOH: Markerless Multimodal Human-Object-Human Handover Dataset with Large Object Count. NeurIPS 2023
[i1]
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  - journals/corr/abs-2310-00723
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Noah Wiederhold, Ava Megyeri, DiMaggio Paris, Sean Banerjee, Natasha Kholgade Banerjee:
HOH: Markerless Multimodal Human-Object-Human Handover Dataset with Large Object Count. CoRR abs/2310.00723 (2023)
2021
[c1]
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  - conf/scf/LambWLBB21
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Nikolas Lamb, Noah Wiederhold, Benjamin Lamb, Sean Banerjee, Natasha Kholgade Banerjee:
Using Learned Visual and Geometric Features to Retrieve Complete 3D Proxies for Broken Objects. SCF 2021: 5:1-5:15

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