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I am a senior research scientist in the Computer Vision group. My research focuses on applying machine learning to several computer vision tasks. I am particularly interested in getting a semantic understanding of visual scenes and in visual representation learning. I have recently worked on instance-level and semantic visual search. I am also interested in representing the structure and geometry of object categories, and in reasoning at the scene-level with images and text.
I obtained a M.Sc. in Image, Vision and Robotics from UJF/INP, Grenoble, France, in 2005. From 2005 to 2008, I worked as a doctoral candidate in the LEAR group, at INRIA Grenoble. During the summer 2007, I did an internship at the JRL/AIST laboratory in Tsukuba, Japan. I obtained my Ph.D. in 2008, from INP Grenoble. From 2008 to 2010, I worked as a post-doc at TU Darmstadt, Germany. I joined what has now become NAVER LABS Europe in 2010.
- Financial chair at ECCV20
- I will serve as Area Chair for CVPR20
- Paper accepted at ICCV19: Fine-Grained Action Retrieval through Multiple Parts-of-Speech Embeddings
- 'Lifelong Representation Learning' chair holder at the MIAI Grenoble Alpes Institute
- Co-organizing the FFSS-USAD workshop at CVPR19, that focuses on Fashion
- I will serve as Area Chair for ICCV19
- Invited talk at the StatLearn 19 conference
- Speaking on 'Visual Search' in AI and Vision session at SophIA Summit, Cote d/Azur, 7-9 November, 2018
- Paper accepted at ECCV18: Semi-Convolutional Operators for Instance Segmentation
- Our work on Capturing the Geometry of Object Categories from Video Supervision has been accepted to TPAMI
- CVPR 18 outstanding reviewer award
- I will talk about visual search at the PRAIRIE Artificial Intelligence summer school (PAISS 2018)
- Paper accepted at CVPR18: Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection (spotlight)
- 2020 - 'Découvrir l’intelligence artificielle par le jeu' (Action développement professionnel de la Maison pour la Science Alpes-Dauphiné). 'Discover AI with games' is a 2 day training session for high school teachers (several sessions organised).
- 2019/2020 - Comprendre des données visuelles à grande échelle (Cours ENSIMAG, Grenoble, France - 5MMDVGE7 - Filière MMIS)
- Feb 2019 - Lecture on Visual Search as part of the 'Deep Learning in Practice' course for the MVA master (ENS de Cachan)
- 2018/2019 - Comprendre des données visuelles à grande échelle (Cours ENSIMAG, Grenoble, France - 5MMDVGE7 - Filière MMIS)
- July 2018 - Lecturer at the PRAIRIE Artificial Intelligence summer school (PAISS 2018, talk about Visual Search)
- 2017/2018 - Comprendre des données visuelles à grande échelle (Cours ENSIMAG, Grenoble, France - 5MMDVGE7 - Filière MMIS)
- 2016/2017 - Comprendre des données visuelles à grande échelle (Cours ENSIMAG, Grenoble, France - 5MMDVGE7 - Filière MMIS)
- Dima Damen, from the University of Bristol, around action retrieval
- I have jointly supervised the PhD of David Novotny with Andrea Vedaldi (2015-2018).
- Andrew Zisserman and Andrea Vedaldi, from the University of Oxford, around object recognition (UAC, 2011-2014),
- Svetlana Lazebnik, from the University of Illinois at Urbana-Champaign (UAC, 2013-2016)
- Sabine Süsstrunk, from EPFL, around scene understanding using visible and near-infrared data (UAC, then Open Innovation project, 2010 to 2013)