Learning Hyperbolic Representations for Unsupervised 3D Segmentation
Gu, Jeffrey* and Hsu, Joy* and Yeung, Serena. (2020). "Learning Hyperbolic Representations for Unsupervised 3D Segmentation." arXiv. arXiv:2012.01644.
CV
Education
- B.S. in Mathematics, California Institute of Technology, 2017
- M.S. in Computational Mathematics, Stanford University, 2020
- Ph.D in Computational Mathematics, Stanford University, 2025 (expected)
Work experience
- Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git
- Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
Staying in Shape: Learning Invariant Shape Representations using Contrastive Learning
Gu, Jeffrey and Yeung, Serena. (2021). "Staying in Shape: Learning Invariant Shape Representations using Contrastive Learning." UAI. UAI 2021.
Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations
Hsu, Joy, et al. "Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations." Advances in Neural Information Processing Systems 34 (2021): 5112-5123.
NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action
Wang, Kuan-Chieh, et al. "NeMo: Learning 3D Neural Motion Fields From Multiple Video Instances of the Same Action." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2023.
Generalizable Neural Fields as Partially Observed Neural Processes
Gu, Jeffrey, Kuan-Chieh Wang, and Serena Yeung. "Generalizable Neural Fields as Partially Observed Neural Processes." arXiv preprint arXiv:2309.06660 (2023).
Talks
Learning Hyperbolic Representations for Unsupervised 3D Segmentation
Contributed Talk at NeurIPS Differential Geometry meets Deep Learning (DiffGeo4DL) Workshop 2020, Virtual
Unsupervised Biomedical Image Segmentation using Hyperbolic Representations
Invited Talk at Stanford MedAI, Virtual
Unsupervised Hyperbolic Representations Learning for Computer Vision
Tutorial at Hyperbolic Representation Learning for Computer Vision Tutorial, European Conference on Computer Vision (ECCV) 2022, Tel-Aviv, Israel
Teaching
Service and leadership
- Currently signed in to 43 different slack teams