Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Bruno Lecouat

NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results


Jun 07, 2021
Goutam Bhat, Martin Danelljan, Radu Timofte, Kazutoshi Akita, Wooyeong Cho, Haoqiang Fan, Lanpeng Jia, Daeshik Kim, Bruno Lecouat, Youwei Li, Shuaicheng Liu, Ziluan Liu, Ziwei Luo, Takahiro Maeda, Julien Mairal, Christian Micheloni, Xuan Mo, Takeru Oba, Pavel Ostyakov, Jean Ponce, Sanghyeok Son, Jian Sun, Norimichi Ukita, Rao Muhammad Umer, Youliang Yan, Lei Yu, Magauiya Zhussip, Xueyi Zou

* NTIRE 2021 Burst Super-Resolution challenge report 

  Access Paper or Ask Questions

Aliasing is your Ally: End-to-End Super-Resolution from Raw Image Bursts


Apr 13, 2021
Bruno Lecouat, Jean Ponce, Julien Mairal


  Access Paper or Ask Questions

Designing and Learning Trainable Priors with Non-Cooperative Games


Jun 26, 2020
Bruno Lecouat, Jean Ponce, Julien Mairal


  Access Paper or Ask Questions

Revisiting Non Local Sparse Models for Image Restoration


Jan 28, 2020
Bruno Lecouat, Jean Ponce, Julien Mairal


  Access Paper or Ask Questions

Venn GAN: Discovering Commonalities and Particularities of Multiple Distributions


Feb 09, 2019
Yasin Yazıcı, Bruno Lecouat, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar


  Access Paper or Ask Questions

Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images


Dec 19, 2018
Bruno Lecouat, Ken Chang, Chuan-Sheng Foo, Balagopal Unnikrishnan, James M. Brown, Houssam Zenati, Andrew Beers, Vijay Chandrasekhar, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216 

  Access Paper or Ask Questions

Adversarially Learned Anomaly Detection


Dec 06, 2018
Houssam Zenati, Manon Romain, Chuan Sheng Foo, Bruno Lecouat, Vijay Ramaseshan Chandrasekhar

* In the Proceedings of the 20th IEEE International Conference on Data Mining (ICDM), 2018 

  Access Paper or Ask Questions

Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile


Oct 01, 2018
Panayotis Mertikopoulos, Bruno Lecouat, Houssam Zenati, Chuan-Sheng Foo, Vijay Chandrasekhar, Georgios Piliouras

* 26 pages, 14 figures 

  Access Paper or Ask Questions

Manifold regularization with GANs for semi-supervised learning


Jul 11, 2018
Bruno Lecouat, Chuan-Sheng Foo, Houssam Zenati, Vijay Chandrasekhar


  Access Paper or Ask Questions

Semi-Supervised Learning with GANs: Revisiting Manifold Regularization


May 23, 2018
Bruno Lecouat, Chuan-Sheng Foo, Houssam Zenati, Vijay R. Chandrasekhar

* Workshop track - ICLR 2018 
* Accepted paper 

  Access Paper or Ask Questions

Efficient GAN-Based Anomaly Detection


Feb 17, 2018
Houssam Zenati, Chuan Sheng Foo, Bruno Lecouat, Gaurav Manek, Vijay Ramaseshan Chandrasekhar

* Submitted to the ICLR Workshop 2018 

  Access Paper or Ask Questions