Gabriel Huang

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 15

Top Topics

Unsupervised Methods

Shot Boundary Detection

Generative Model

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Alexandre Lacoste, Nils Lehmann, Pau Rodríguez, Evan David Sherwin, Hannah Kerner, Björn Lütjens, Jeremy Andrew Irvin, David Dao, Hamed Alemohammad, Alexandre Drouin, Mehmet Gunturkun, Gabriel Huang, David Vázquez, Dava Newman, Yoshua Bengio, Stefano Ermon, Xiao Xiang Zhu
GEO-Bench: Toward Foundation Models for Earth Monitoring. CoRR (2023)
Gabriel Huang, Issam H. Laradji, David Vázquez, Simon Lacoste-Julien, Pau Rodríguez
A Survey of Self-Supervised and Few-Shot Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Alexandre Lacoste, Nils Lehmann, Pau Rodríguez, Evan D. Sherwin, Hannah Kerner, Björn Lütjens, Jeremy Irvin, David Dao, Hamed Alemohammad, Alexandre Drouin, Mehmet Gunturkun, Gabriel Huang, David Vázquez, Dava Newman, Yoshua Bengio, Stefano Ermon, Xiaoxiang Zhu
GEO-Bench: Toward Foundation Models for Earth Monitoring. NeurIPS (2023)
Namyeong Kwon, Hwidong Na, Gabriel Huang, Simon Lacoste-Julien
Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning. CoRR (2021)
Namyeong Kwon, Hwidong Na, Gabriel Huang, Simon Lacoste-Julien
Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning. ICLR (2021)
Gabriel Huang, Issam H. Laradji, David Vázquez, Simon Lacoste-Julien, Pau Rodríguez
A Survey of Self-Supervised and Few-Shot Object Detection. CoRR (2021)
Gabriel Huang, Bo Pang, Zhenhai Zhu, Clara Rivera, Radu Soricut
Multimodal Pretraining for Dense Video Captioning. AACL/IJCNLP (2020)
Gabriel Huang, Bo Pang, Zhenhai Zhu, Clara Rivera, Radu Soricut
Multimodal Pretraining for Dense Video Captioning. CoRR (2020)
Gauthier Gidel, Reyhane Askari Hemmat, Mohammad Pezeshki, Rémi Le Priol, Gabriel Huang, Simon Lacoste-Julien, Ioannis Mitliagkas
Negative Momentum for Improved Game Dynamics. AISTATS (2019)
Gabriel Huang, Hugo Larochelle, Simon Lacoste-Julien
Centroid Networks for Few-Shot Clustering and Unsupervised Few-Shot Classification. CoRR (2019)
Edouard Oyallon, Sergey Zagoruyko, Gabriel Huang, Nikos Komodakis, Simon Lacoste-Julien, Matthew B. Blaschko, Eugene Belilovsky
Scattering Networks for Hybrid Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 41 (9) (2019)
Gauthier Gidel, Reyhane Askari Hemmat, Mohammad Pezeshki, Gabriel Huang, Rémi Le Priol, Simon Lacoste-Julien, Ioannis Mitliagkas
Negative Momentum for Improved Game Dynamics. CoRR (2018)
Gabriel Huang, Hugo Berard, Ahmed Touati, Gauthier Gidel, Pascal Vincent, Simon Lacoste-Julien
Parametric Adversarial Divergences are Good Task Losses for Generative Modeling. ICLR (Workshop) (2018)
Edouard Oyallon, Sergey Zagoruyko, Gabriel Huang, Nikos Komodakis, Simon Lacoste-Julien, Matthew B. Blaschko, Eugene Belilovsky
Scattering Networks for Hybrid Representation Learning. CoRR (2018)
Gabriel Huang, Gauthier Gidel, Hugo Berard, Ahmed Touati, Simon Lacoste-Julien
Adversarial Divergences are Good Task Losses for Generative Modeling. CoRR (2017)