Congyue Deng

Ph.D. Student, Geometric Computing Group
Department of Computer Science, Stanford University

Email: congyue [at] stanford [dot] edu
Office: 239 Gates Computer Science Building

Google Scholar | Twitter | GitHub

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。

"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

Research

	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* Project \| Video
	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* Project \| Video
	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* Paper \| Project \| Video \| BibTex
	NAP😴: Neural 3D Articulation Prior Jiahui Lei, Congyue Deng, Bokui Shen, Leonidas Guibas, Kostas Daniilidis Advances in Neural Information Processing Systems (NeurIPS), 2023 Paper \| Project \| Video \| BibTex
	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 Paper \| Code \| Dataset \| Project \| Video \| BibTex
	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 Paper \| Video \| BibTex
	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 Paper* \| Project \| Video \| BibTex
	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 \| Code \| Project \| Video \| Short Video \| BibTex
	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* \| Poster
	Interactive Modeling of Lofted Shapes from a Single Image Congyue Deng, Jiahui Huang, Yong-Liang Yang Computational Visual Media (CVM), 2019: 1-11 Paper \| BibTex

Professional Services

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

Teaching

	Guest Lecturer, Neural Representations and Generative Models for 3D Geometry (CS348n), Winter 2022, Spring 2023
	Teaching Assistant, Combinatorics and Algorithm Design (70240384), Fall 2019 Teaching Assistant, Combinatorics (60240013), Fall 2019 Volunteer Tutor and Counselor at the Student Learning and Development Center

Website design from Jon Barron, source code here.