Vadim Kantorov
PhD student in computer vision
| vadimkantorov@gmail.com | |
| Phone | +33603292769 |
| Skype | vadimkantorov |
I'm a third year PhD student in computer vision with WILLOW group at INRIA / Ecole normale supérieure supervised by Ivan Laptev and Minsu Cho. I hold a masters degree in applied mathematics, computer vision and machine learning (MVA at ENS de Cachan).
My research interests these days focus on designing end-to-end deep models for solving weakly superised problems. Previously I've worked on highly efficient action recognition. Back in college I enjoyed ACM ICPC programming competitions.
Outside vision and learning, I am interested in distributed systems and street art.
Publications
@inproceedings{kantorov2016,
title = {ContextLocNet: Context-aware Deep Network Models for Weakly Supervised Localization},
author = {Kantorov, V., Oquab, M., Cho M. and Laptev, I.},
booktitle = {Proc. European Conference on Computer Vision (ECCV), 2016},
year = {2016}
}
@inproceedings{kantorov2014,
author = {Kantorov, V. and Laptev, I.},
title = {Efficient feature extraction, encoding and classification for action recognition},
booktitle = {Proc. Computer Vision and Pattern Recognition (CVPR), IEEE, 2014},
year = {2014}
}
Master thesis. Advisor: Ivan Laptev
[pdf]
Bachelor thesis, presented at TbiLLC 2011. Advisor: Pavel Braslavski
[pdf]
Other projects
wigwam - a humane dependency fetcher and builder for scientific projects
mpegflow - a tool for extracting and dumping motion vectors from video files
caffemodel2json - a tool for dumping Caffe models to JSON for inspection
wemosetup - a Python tool for setting up Belkin WeMo lights devices without Android or iOS
vosges - a tool for defining and running Sun Grid Engine (SGE) experiments in Python