Florent Couzinie-Devy

Researcher, VitaDX

Joined

July 2019

Names

Emails

****@gmail.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

VitaDX (vitadx.com)

2015 – Present

PhD student

Ecole Normale Superieure (ens.fr)

2010 – 2015

Advisors, Relations & Conflicts

Coauthor

Maria Vakalopoulou

2021 – Present

PhD Advisee

Marin Scalbert

2021 – 2024

PhD Advisor

Jean Ponce

2010 – 2014

PhD Advisor

Francis Bach

2010 – 2014

Expertise

Computational histopathology

deep learning

Multiple instance learning

domain adaptation

2016 – Present

deblurring

image processing

sparse coding

2010 – 2015

Publications

Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization
Marin Scalbert, Maria Vakalopoulou, Florent Couzinie-Devy
- ICLR 2024 poster
- Readers: Everyone
Test-time image-to-image translation ensembling improves out-of-distribution generalization in histopathology
Marin Scalbert, Maria Vakalopoulou, Florent Couzinie-Devy
- 27 Sept 2022 (modified: 27 Sept 2022)
- OpenReview Archive Direct Upload
- Readers: Everyone
Image-to-image translation trained on unrelated histopathology data helps for Domain Generalization
Marin Scalbert, Maria Vakalopoulou, Florent Couzinie-Devy
- Published: 09 May 2022, Last Modified: 12 May 2023
- MIDL 2022 Short Papers
- Readers: Everyone
Multi-Source domain adaptation via supervised contrastive learning and confident consistency regularization
Marin Scalbert, Maria Vakalopoulou, Florent Couzinié-Devy
- 2021 (modified: 22 Apr 2022)
- CoRR 2021
- Readers: Everyone
Learning to Estimate and Remove Non-uniform Image Blur
Florent Couzinie-Devy, Jian Sun, Karteek Alahari, Jean Ponce
- 2013 (modified: 10 Nov 2022)
- CVPR 2013
- Readers: Everyone
Dictionary Learning for Deblurring and Digital Zoom
Florent Couzinie-Devy, Julien Mairal, Francis R. Bach, Jean Ponce
- 2011 (modified: 22 Apr 2022)
- CoRR 2011
- Readers: Everyone

Florent Couzinie-Devy

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization

Test-time image-to-image translation ensembling improves out-of-distribution generalization in histopathology

Image-to-image translation trained on unrelated histopathology data helps for Domain Generalization

Multi-Source domain adaptation via supervised contrastive learning and confident consistency regularization

Learning to Estimate and Remove Non-uniform Image Blur

Dictionary Learning for Deblurring and Digital Zoom

Co-Authors