My main research interest lies in developing new computer vision tools to leverage more complex information from images and videos. Images encode a enourmous amount of information of our surrounding world. This is a rich data structure that we, as humans, can easily decode by just looking at the image. Our experience, education, and culture allow us to leverage information even beyond the pixel color itself. We can build up stories based on one image. And those stories can be very different from one person to another. This shows how much information is encoded in just a bunch of pixels. My goal is to go deeper into making computers understand images and videos as we do.
Outside of school, I like to play basketball and soccer. I have been playing basketball in competition for 10 years in France. In the last years I was playing at the JDA Dijon's team with which we won the vice champion title of the Burgundy league in 2010.
I also love music, I play the guitar in a new band now (latin rythms such as cuban and bolero types). Live performance coming soon !!
And while networks are training I usually like to play chess. Let's play on-line chess.com !
Vincent Cartillier, Zhile Ren, Neha Jain, Stefan Lee, Irfan Essa, Dhruv Batrasmnet.com
Huda Alamri, Vincent Cartillier, Abhishek Das, Jue Wang, Anoop Cherian, Irfan Essa, Dhruv Batra, Tim K. Marks, Chiori Hori, Peter Anderson, Stefan Lee, Devi Parikh
Cusuh Ham*, Amit Raj*, Vincent Cartillier*, Irfan Essa
NIPS Bayesian Deep Learning NIPS 2018
Hori C., Alamri H., Wang J., Wichern G., Hori T., Cherian A., Marks T.K., Cartillier V., Lopes R.G., Das A. and Essa I.
Huda Alamri, Vincent Cartillier, Raphael Gontijo Lopes, Abhishek Das, Jue Wang, Irfan Essa, Dhruv Batra, Devi Parikh, Anoop Cherian, Tim K. Marks, Chiori Hori
AAAI workshop 2018
Amit Raj*, Cusuh Ham*, Huda Alamri*, Vincent Cartillier*, Stefan Lee, James Hays
NIPS ViGIL 2017