Bruno Lecouat

23 papers A* 3B 1Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Sharp Monocular View Synthesis in Less Than a Second.
CoRR
Lars Mescheder, Wei Dong, Shiwei Li, Xuyang Bai, Marcel Santos, Peiyun Hu, Bruno Lecouat, Mingmin Zhen, Amaël Delaunoy, Tian Fang, Yanghai Tsin, Stephan R. Richter, Vladlen Koltun
2023 J jnl
Fine Dense Alignment of Image Bursts through Camera Pose and Depth Estimation.
CoRR
Bruno Lecouat, Yann Dubois de Mont-Marin, Théo Bodrito, Julien Mairal, Jean Ponce
2023 — —
Image Reconstruction from Multiple Shots with Trainable Algorithms. (Reconstruction d'images à partir de prises de vue multiples avec des algorithmes entraînables).
Bruno Lecouat
2022 J jnl
High Dynamic Range and Super-Resolution from Raw Image Bursts.
CoRR
Bruno Lecouat, Thomas Eboli, Jean Ponce, Julien Mairal
2022 J jnl
High dynamic range and super-resolution from raw image bursts.
ACM Trans. Graph.
Bruno Lecouat, Thomas Eboli, Jean Ponce, Julien Mairal
2022 B conf
Mixed Membership Generative Adversarial Networks.
ICIP
Yasin Yazici, Bruno Lecouat, Kim-Hui Yap, Stefan Winkler, Georgios Piliouras, Vijay Chandrasekhar, Chuan-Sheng Foo
2021 J jnl
Aliasing is your Ally: End-to-End Super-Resolution from Raw Image Bursts.
CoRR
Bruno Lecouat, Jean Ponce, Julien Mairal
2021 A* conf
Lucas-Kanade Reloaded: End-to-End Super-Resolution from Raw Image Bursts.
ICCV
Bruno Lecouat, Jean Ponce, Julien Mairal
2021 J jnl
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results.
CoRR
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
2020 A* conf
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game Encoding.
NeurIPS
Bruno Lecouat, Jean Ponce, Julien Mairal
2020 J jnl
Designing and Learning Trainable Priors with Non-Cooperative Games.
CoRR
Bruno Lecouat, Jean Ponce, Julien Mairal
2020 — conf
Fully Trainable and Interpretable Non-local Sparse Models for Image Restoration.
ECCV (22)
Bruno Lecouat, Jean Ponce, Julien Mairal
2019 — conf
Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile.
ICLR (Poster)
Panayotis Mertikopoulos, Bruno Lecouat, Houssam Zenati, Chuan-Sheng Foo, Vijay Chandrasekhar, Georgios Piliouras
2019 J jnl
Revisiting Non Local Sparse Models for Image Restoration.
CoRR
Bruno Lecouat, Jean Ponce, Julien Mairal
2019 J jnl
Venn GAN: Discovering Commonalities and Particularities of Multiple Distributions.
CoRR
Yasin Yazici, Bruno Lecouat, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar
2018 A* conf
Adversarially Learned Anomaly Detection.
ICDM
Houssam Zenati, Manon Romain, Chuan-Sheng Foo, Bruno Lecouat, Vijay Chandrasekhar
2018 J jnl
Adversarially Learned Anomaly Detection.
CoRR
Houssam Zenati, Manon Romain, Chuan Sheng Foo, Bruno Lecouat, Vijay Ramaseshan Chandrasekhar
2018 J jnl
Efficient GAN-Based Anomaly Detection.
CoRR
Houssam Zenati, Chuan Sheng Foo, Bruno Lecouat, Gaurav Manek, Vijay Ramaseshan Chandrasekhar
2018 J jnl
Manifold regularization with GANs for semi-supervised learning.
CoRR
Bruno Lecouat, Chuan Sheng Foo, Houssam Zenati, Vijay Chandrasekhar
2018 J jnl
Mirror descent in saddle-point problems: Going the extra (gradient) mile.
CoRR
Panayotis Mertikopoulos, Houssam Zenati, Bruno Lecouat, Chuan-Sheng Foo, Vijay Chandrasekhar, Georgios Piliouras
2018 J jnl
Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images.
CoRR
Bruno Lecouat, Ken Chang, Chuan-Sheng Foo, Balagopal Unnikrishnan, James M. Brown, Houssam Zenati, Andrew Beers, Vijay Chandrasekhar, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy
2018 — conf
Semi-Supervised Learning With GANs: Revisiting Manifold Regularization.
ICLR (Workshop)
Bruno Lecouat, Chuan Sheng Foo, Houssam Zenati, Vijay Ramaseshan Chandrasekhar
2018 J jnl
Semi-Supervised Learning with GANs: Revisiting Manifold Regularization.
CoRR
Bruno Lecouat, Chuan Sheng Foo, Houssam Zenati, Vijay Ramaseshan Chandrasekhar