- machine learning
- deep learning
- computer vision
- data analytics
- artificial intelligence
I am a senior research scientist in the Computer Vision group. My research interests include machine learning applied to computer vision. I am particulary interested in visual scene understanding, and related tasks such as visual search, the joint localization of objects and their parts, and 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.
- 2 papers accepted at CVPR17:
- AnchorNet: a weakly supervised network to learn geometry-sensitive features for semantic matching.
- Beyond instance-level image retrieval: Leveraging human captions to learn representations for semantic visual search.
- ECCV 16 best reviewer award
- 1 paper accepted at ECCV16: Deep Image Retrieval: Learning global representations for image search
Publications since I joined Xerox are available here: XRCE Publications
- Svetlana Lazebnik, from the University of Illinois at Urbana-Champaign (UAC)
- Andrea Vedaldi, from the University of Oxford (joint super vision of David Novotny)
Previous external collaborations