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Computer Vision
Computer Vision
I'm a research scientist in the Computer Vision group. My research interests include image retrieval, vision and language tasks, deep metric learning and kernel methods for computer vision.
I obtained a M.Sc. degree in applied mathematics from ENS Cachan (now ENS Paris-Saclay), France, in 2013. From 2013 to 2017, I worked as a Ph.D. candidate in the Willow team at Inria Paris, under the supervision of Jean Ponce and Francis Bach. I obtained my Ph.D. in computer sciences at the end of 2017 from ENS Ulm. I joined Naver Labs Europe in February 2018 as a post-doc researcher.
2020
- StacMR project page available here.
- Accepted paper at WACV 2021: StacMR: Scene-text aware cross-modal retrieval.
2019
- AP-GeM models and evaluation code available here.
- Accepted paper at ICCV 2019: Learning with Average Precision: Training Image Retrieval with a Listwise Loss.
- Mallscape dataset (along with blog post) available to download here.
- Accepted paper at CVPR 2019: Did it change? Learning to Detect Point-of-Interest Changes for Proactive Map Updates.
2018
- I joined Naver Labs Europe.
2017
- I successfully defended my Ph.D.: New methods for image classification, image retrieval and semantic correspondence.
- SCNet code available here.
- Accepted paper at ICCV 2017: SCNet: Learning semantic correspondence
- Accepted paper at CVPR 2017: Kernel square-loss exemplar machines for image retrieval