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 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.




CV PUBLICATIONS SOFTWARE & DATASETS STUDENTS & POSTDOCS TEACHING
updated: July 2019 complete list, Google scholar, DBLP





NEWS (A complete list is here)
  • We are organizing the second edition of the AI summer school PAISS.
  • Our CVPR paper on learning video features is online.
  • I am a member of the editorial board of IJCV (area editor).
  • I am an area chair / senior program committee member for CVPR 2020, AAAI 2020, ICCV 2019, IJCAI 2019.
  • 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).




    STUDENTS & POSTDOCS

    PhD students: Graduated: Masters: Former postdocs:




    TEACHING

    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.