Karteek Alahari

Inria Grenoble - Rhône-Alpes - Thoth project-team
655 avenue de l'Europe, Montbonnot
38334 Saint Ismier Cedex
France (sending mail)

Email: karteek (dot) alahari @ inria (dot) fr
Fax: +33 4 76 61 54 54
Karteek Alahari



I am a tenured researcher (chargé de recherche Inria) in the Thoth research team (formerly known as LEAR), based at the Inria Grenoble - Rhône-Alpes center.

I was previously a postdoctoral fellow in the Inria WILLOW team at the Department of Computer Science, École Normale Supérieure (ENS), where I worked with Ivan Laptev, Jean Ponce, and Josef Sivic. I completed my Ph.D. in July 2010, under the supervision of Philip Torr. I am also an associate member of the Visual Geometry Group, University of Oxford and the WILLOW team at ENS.

My current research focuses on addressing the visual understanding problem in the context of large-scale datasets. In particular, I work on learning robust and effective visual representations, when only partially-supervised data is available. This includes frameworks such as incremental learning, weakly-supervised learning, adversarial training, etc.




CV PUBLICATIONS SOFTWARE & DATASETS RESEARCH GROUP TEACHING
updated: Jan 2020 complete list, Google scholar, DBLP





NEWS (A complete list is here)
  • We are co-organizing a tutorial on annotation-efficient learning at CVPR 2020.
  • Our NeurIPS paper on generative models is online.
  • I am a member of the editorial board of IJCV (associate editor).
  • I am an area chair / senior program committee member for CVPR 2021, CVPR 2020, AAAI 2020, IJCAI 2020.
  • Together with C. V. Jawahar, we are editing a Springer Advances in Computer Vision & Pattern Recog. volume on visual text interpretation.
  • Received Google Faculty Research Award 2015 (see announcement).




    RESEARCH GROUP

    PhD students: Graduated: Masters: Former postdocs:




    TEACHING

    2019-'20: Graphical Models: Inference and Learning (MVA course at CentraleSupélec, Paris)
    2019-'20: Category Learning and Object Recognition (at ENSIMAG)
    2019-'20: Understanding Big Visual Data (at ENSIMAG, in French)
    2019-'20: Introduction to Computer Vision (at ENS Paris)
    2018-'19: Graphical Models: Inference and Learning (MVA course at CentraleSupélec, Paris)
    2018-'19: Introduction to Computer Vision (at ENS Paris)
    2018-'19: Understanding Big Visual Data (at ENSIMAG, in French)
    2018-'19: Machine Learning and Object Recognition (at ENSIMAG)
    2017-'18: Discrete Inference and Learning (MVA course at CentraleSupélec, Paris)
    2017-'18: Introduction to Computer Vision (at ENS Paris)
    2017-'18: Understanding Big Visual Data (at ENSIMAG, in French)
    2016-'17: Introduction to Discrete Optimization (at École Centrale Paris)
    2016-'17: Understanding Big Visual Data (at ENSIMAG, in French)
    2015-'16: Introduction to Discrete Optimization (at École Centrale Paris)
    2014-'15: Multimedia databases (at ENSIMAG, in French)
    2013-'14: Multimedia databases (at ENSIMAG)





    PERSONAL






    *Photo courtesy: V. Peregrin.