| Slice-based learning: A programming model for residual learning in critical data slices V Chen, S Wu, AJ Ratner, J Weng, C Ré Neurips 2019, 2019 | 49 | 2019 |
| Holistic 3d human and scene mesh estimation from single view images Z Weng, S Yeung CVPR 2021, 2021 | 43 | 2021 |
| Unsupervised discovery of the long-tail in instance segmentation using hierarchical self-supervision Z Weng, MG Ogut, S Limonchik, S Yeung CVPR 2021, 2021 | 27 | 2021 |
| Zeroavatar: Zero-shot 3d avatar generation from a single image Z Weng, Z Wang, S Yeung arXiv preprint arXiv:2305.16411, 2023 | 10 | 2023 |
| Utilizing weak supervision to infer complex objects and situations in autonomous driving data Z Weng, P Varma, A Masalov, J Ota, C Ré 2019 IEEE Intelligent Vehicles Symposium (IV), 119-125, 2019 | 10 | 2019 |
| Domain Adaptive 3D Pose Augmentation for In-the-wild Human Mesh Recovery Z Weng, KC Wang, A Kanazawa, S Yeung 3DV 2022, 2022 | 7 | 2022 |
| 3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels Z Weng, AS Gorban, J Ji, M Najibi, Y Zhou, D Anguelov CVPR 2023, 2023 | 6 | 2023 |
| Diffusion-HPC: Generating Synthetic Images with Realistic Humans Z Weng, L Bravo-Sánchez, S Yeung 3DV 2024, 2023 | 5 | 2023 |
| NeMo: Learning 3D Neural Motion Fields From Multiple Video Instances of the Same Action KC Wang, Z Weng, M Xenochristou, JP Araújo, J Gu, K Liu, S Yeung CVPR 2023, 2023 | 3 | 2023 |
| Template-Free Single-View 3D Human Digitalization with Diffusion-Guided LRM Z Weng, J Liu, H Tan, Z Xu, Y Zhou, S Yeung-Levy, J Yang arXiv preprint arXiv:2401.12175, 2024 | 1* | 2024 |
| Multi-Human Mesh Recovery with Transformers Z Wang, Z Weng, S Yeung-Levy arXiv preprint arXiv:2402.16806, 2024 | | 2024 |
| NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action KC Wang, Z Weng, M Xenochristou, JP Araujo, J Gu, CK Liu, S Yeung arXiv preprint arXiv:2212.13660, 2022, 2022 | | 2022 |
| Supplementary Material for Holistic 3D Human and Scene Mesh Estimation from Single View Images Z Weng, S Yeung | | |
| Supplementary Material for Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision Z Weng, MG Ogut, S Limonchik, S Yeung | | |
Serena YeungStanford UniversityVerified email at stanford.edu
