Haibin Hang

According to our database, Haibin Hang authored at least 8 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Decorated merge trees for persistent topology.

Justin Curry, Haibin Hang, Washington Mio, Tom Needham, Osman Berat Okutan

J. Appl. Comput. Topol., 2022

Adaptive Feature Interpolation for Low-Shot Image Generation.

Mengyu Dai, Haibin Hang, Xiaoyang Guo

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Implicit Data Augmentation Using Feature Interpolation for Diversified Low-Shot Image Generation.

Mengyu Dai, Haibin Hang, Xiaoyang Guo

CoRR, 2021

AWGAN: Empowering High-Dimensional Discriminator Output for Generative Adversarial Networks.

Mengyu Dai, Haibin Hang, Anuj Srivastava

CoRR, 2021

U-match factorization: sparse homological algebra, lazy cycle representatives, and dualities in persistent (co)homology.

Haibin Hang, Chad Giusti, Lori Ziegelmeier, Gregory Henselman-Petrusek

CoRR, 2021

Adversarial Manifold Matching via Deep Metric Learning for Generative Modeling.

Mengyu Dai, Haibin Hang

CoRR, 2021

Manifold Matching via Deep Metric Learning for Generative Modeling.

Mengyu Dai, Haibin Hang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2019

A topological study of functional data and Fréchet functions of metric measure spaces.

Haibin Hang, Facundo Mémoli, Washington Mio

J. Appl. Comput. Topol., 2019