I am a third-year Ph.D. student in computer science at Stanford University advised by Leonidas Guibas. My research interests include 3D computer vision and geometric deep learning. I am particularly interested in developing and leveraging better data representations in 3D shape analysis and processing.
I had the pleasure of collaborating with Kostas Daniilidis (UPenn) and Jeannette Bohg. I also did a rotation with Jiajun Wu in Spring 2021 and an internship with Ron Fedkiw in Summer 2019 through the UGVR program. I obtained my B.S. in mathematics from Tsinghua University in 2020 with a GPA ranking 1/114。
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"The reality of the universe is geometrical."
 
-- E. A. Burtt. The Metaphysical Foundations of Modern Physical Science
"A scientific theory is usually felt to be better than its predecessors not only in the sense that it is a better instrument for discovering and solving puzzles but also because it is somehow a better representation of what nature is really like."
 
-- Thomas Kuhn. The Structure of Scientific Revolutions
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EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation
Jingyun Yang*,
Congyue Deng*,
Jimmy Wu,
Rika Antonova,
Leonidas Guibas,
Jeannette Bohg
(*equial contribution)
To appear
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Video
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SAGE🌿: Bridging Semantic and Actionable Parts for Generalizable Articulated-Object Manipulation under Language Instructions
Haoran Geng*,
Songlin Wei*,
Congyue Deng,
Bokui Shen,
He Wang+,
Leonidas Guibas+
(*equial contribution, +equal advising)
To appear
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Video
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Banana🍌: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance
Congyue Deng*,
Jiahui Lei*,
Bokui Shen,
Kostas Daniilidis,
Leonidas Guibas
(*equal contribution)
Advances in Neural Information Processing Systems (NeurIPS), 2023 Spotlight
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Project
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Video
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BibTex
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NAP😴: Neural 3D Articulation Prior
Jiahui Lei,
Congyue Deng,
Bokui Shen,
Leonidas Guibas,
Kostas Daniilidis
Advances in Neural Information Processing Systems (NeurIPS), 2023
Paper
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Video
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EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision
Jiahui Lei,
Congyue Deng,
Karl Schmeckpeper,
Leonidas Guibas,
Kostas Daniilidis
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023
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Code
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Dataset
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NeRDi🤓: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors
Congyue Deng,
Chiyu "Max" Jiang,
Charles R. Qi,
Xinchen Yan,
Yin Zhou,
Leonidas Guibas,
Dragomir Anguelov
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023
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Video
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BibTex
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Unsupervised Learning of Shape Programs with Repeatable Implicit Parts
Boyang Deng*,
Sumith Kulal*,
Zhengyang Dong,
Congyue Deng,
Yonglong Tian,
Jiajun Wu
(*equal contribution)
Advances in Neural Information Processing Systems (NeurIPS), 2022
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Video
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BibTex
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Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Congyue Deng,
Or Litany,
Yueqi Duan,
Adrien Poulenard,
Andrea Tagliasacchi,
Leonidas Guibas
International Conference on Computer Vision (ICCV), 2021 Oral
Paper
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Code
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Short Video
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Towards Understanding the Trade-off Between Accuracy and Adversarial Robustness
Congyue Deng*,
Yi Tian* (*equal contributors)
ICML workshop on the Security and Privacy of Machine Learning, 2019
Manuscript
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Poster
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Interactive Modeling of Lofted Shapes from a Single Image
Congyue Deng,
Jiahui Huang,
Yong-Liang Yang
Computational Visual Media (CVM), 2019: 1-11
Paper
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BibTex
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Conference reviewer: SIGGRAPH (2022, 2023), CVPR (2022, 2023), ICCV (2023), ECCV (2022), ICML(2022, 2023), NeurIPS (2022, 2023), ICRA (2023), AAAI (2023), 3DV(2022), ICIG (2021)
Journal reviewer: TVCG, IJRR, Computer Graphics Forum, Computers & Graphics
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