I am a PhD student in the LEAR team of the LJK laboratory and INRIA Rhône-Alpes research center. My doctoral school is the Grenoble INP institute of technology. I am funded by the Microsoft Research-INRIA joint center. I mainly work in the fields of computer vision and machine learning.

I come from the ENSIMAG engineering school of IT and applied Mathematics. I also have a Master's degree in Machine Learning from the Université Joseph Fourier (UJF) of Grenoble.

PhD Thesis

On the 1st of october 2008, I started my PhD thesis under the supervision of the head of the LEAR team: Cordelia Schmid. The title of my PhD subject is:

Structured Models for Action Recognition in Real-world Videos

This PhD thesis addresses visual event and action recognition in natural videos, a problem which receives increasing attention due to the widespread availability of personal video capture devices, low cost of multimedia storage, and ease of content sharing. The goal is to develop video representations and recognition techniques that can be applied to a wide range of visual events in real-world multimedia data such as movies and internet videos. In particular, I investigate how an action can be decomposed, what is its discriminative structure, and how to use this information to accurately represent video content.

The main challenge I address lies in how to build models of actions that are simultaneously information-rich --- in order to correctly differentiate between different action categories --- and robust to the large variations in actors, actions, and videos present in real-world data.


I participated in two challenges during the 2008 summer period:

Master thesis

Between February and June 2008, I did my Master's internship in the LEAR team with Marcin Marszalek and Cordelia Schmid. My subject was action recognition in videos.

© 2008-2011   Adrien GAIDON