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
Tel: +33 4 56 52 71 31
Fax: +33 4 76 61 54 54
Karteek Alahari

I am a 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 modelling tasks, such as pose estimation, recognition, tracking, segmentation, as optimization problems, learning parameters of the cost functions this induces with minimally-annotated data, and developing inference algorithms that scale-up to large data collections.

updated: July 2018 complete list, Google scholar, DBLP

NEWS (A complete list is here)
  • Talks from our PAISS 2018 summer school are available.
  • Our CVPR 2018 paper on modeling first and third-person videos jointly, and the accompanying software and dataset are online.
  • I am an area chair (senior program committee member) for CVPR 2018, ICVGIP 2018, and IJCAI 2018.
  • Teaching at the summer school on advances in modern AI in India.
  • 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).


    Postdocs: PhD students: Graduated: Masters: Former postdoc:


    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)


    *Photo courtesy: V. Peregrin.