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Zekun Hao
Zekun Hao
PhD student, Cornell University
Verified email at cornell.edu - Homepage
Title
Cited by
Cited by
Year
Pointflow: 3d point cloud generation with continuous normalizing flows
G Yang, X Huang, Z Hao, MY Liu, S Belongie, B Hariharan
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
3412019
Scale-aware face detection
Z Hao, Y Liu, H Qin, J Yan, X Li, X Hu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
1132017
Learning gradient fields for shape generation
R Cai, G Yang, H Averbuch-Elor, Z Hao, S Belongie, N Snavely, ...
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1092020
Dualsdf: Semantic shape manipulation using a two-level representation
Z Hao, H Averbuch-Elor, N Snavely, S Belongie
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
692020
Controllable video generation with sparse trajectories
Z Hao, X Huang, S Belongie
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
692018
Gancraft: Unsupervised 3d neural rendering of minecraft worlds
Z Hao, A Mallya, S Belongie, MY Liu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
532021
Pointflow: 3d point cloud generation with continuous normalizing flows. In 2019 IEEE
G Yang, X Huang, Z Hao, MY Liu, SJ Belongie, B Hariharan
CVF International Conference on Computer Vision, ICCV, 4540-4549, 2019
92019
Generating images of virtual environments using one or more neural networks
Z Hao, MY Liu, AM Mallya
US Patent App. 17/111,271, 2022
2022
Implicit Neural Representations with Levels-of-Experts
Z Hao, A Mallya, S Belongie, MY Liu
Advances in Neural Information Processing Systems, 0
Supplementary Material for “PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows”
G Yang, X Huang, Z Hao, MY Liu, S Belongie, B Hariharan
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Articles 1–10