Zhenzhen Weng
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2020
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2018
Bio
I am a final year Ph.D student in Computational and Mathematical Engineering (ICME) at Stanford University where I am advised by Prof. Serena Yeung.
I am broadly interested in 3D computer vision and machine learning. Specifically, my current research interests are human-centric 3D perception.
Prior to my Ph.D, I received B.S. in Computer Science and B.S. in Mathematics from Carnegie Mellon University. I also previously worked for a fund manager on the East Coast.
My website: https://zzweng.github.io/
Education & Certifications
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BS, Carnegie Mellon University, Mathematics
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BS, Carnegie Mellon University, Computer Science
All Publications
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3D Human Keypoints Estimation from Point Clouds in the Wild without Human Labels
IEEE COMPUTER SOC. 2023: 1158-1167
View details for DOI 10.1109/CVPR52729.2023.00118
View details for Web of Science ID 001058542601045
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<i>NeMo</i>: 3D <i>Ne</i>ural <i>Mo</i>tion Fields from Multiple Video Instances of the Same Action
IEEE COMPUTER SOC. 2023: 22129-22138
View details for DOI 10.1109/CVPR52729.2023.02119
View details for Web of Science ID 001062531306044
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Domain Adaptive 3D Pose Augmentation for In-the-wild Human Mesh Recovery
IEEE. 2022: 261-270
View details for DOI 10.1109/3DV57658.2022.00038
View details for Web of Science ID 000975753400026
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Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision
IEEE COMPUTER SOC. 2021: 2603-2612
View details for DOI 10.1109/CVPR46437.2021.00263
View details for Web of Science ID 000739917302078
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Holistic 3D Human and Scene Mesh Estimation from Single View Images
IEEE COMPUTER SOC. 2021: 334-343
View details for DOI 10.1109/CVPR46437.2021.00040
View details for Web of Science ID 000739917300031
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Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices
NEURAL INFORMATION PROCESSING SYSTEMS (NIPS). 2019
View details for Web of Science ID 000535866901007
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Utilizing Weak Supervision to Infer Complex Objects and Situations in Autonomous Driving Data
IEEE. 2019: 119–25
View details for Web of Science ID 000508184100021