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2020 – today
- 2022
[j2]Justin Curry
, Haibin Hang, Washington Mio, Tom Needham, Osman Berat Okutan:
Decorated merge trees for persistent topology. J. Appl. Comput. Topol. 6(3): 371-428 (2022)- [c2]Mengyu Dai, Haibin Hang, Xiaoyang Guo:
Adaptive Feature Interpolation for Low-Shot Image Generation. ECCV (15) 2022: 254-270 - 2021
- [c1]Mengyu Dai, Haibin Hang:
Manifold Matching via Deep Metric Learning for Generative Modeling. ICCV 2021: 6567-6577 - [i4]Mengyu Dai, Haibin Hang:
Adversarial Manifold Matching via Deep Metric Learning for Generative Modeling. CoRR abs/2106.10777 (2021) - [i3]Haibin Hang, Chad Giusti, Lori Ziegelmeier, Gregory Henselman-Petrusek:
U-match factorization: sparse homological algebra, lazy cycle representatives, and dualities in persistent (co)homology. CoRR abs/2108.08831 (2021) - [i2]Mengyu Dai, Haibin Hang, Anuj Srivastava:
AWGAN: Empowering High-Dimensional Discriminator Output for Generative Adversarial Networks. CoRR abs/2109.03378 (2021) - [i1]Mengyu Dai, Haibin Hang, Xiaoyang Guo:
Implicit Data Augmentation Using Feature Interpolation for Diversified Low-Shot Image Generation. CoRR abs/2112.02450 (2021)
2010 – 2019
- 2019
- [j1]Haibin Hang, Facundo Mémoli, Washington Mio:
A topological study of functional data and Fréchet functions of metric measure spaces. J. Appl. Comput. Topol. 3(4): 359-380 (2019)
Coauthor Index
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