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