I am a PhD student in the Computer Science and Engineering Department
at UCSD. My advisor is Serge
Belongie, and I am part of the SO(3)
Computer Vision group. My research interests include machine
vision & learning. More specifically I am interested in learning with ambiguity (multiple instance learning), learning distance metrics,
part based object detection & recognition, local feature description, and online/adaptive learning for tracking. I am currently funded by the IGERT fellowship.
Contact
Email: bbabenkocs.ucsd.edu
Office: 4106 EBU3b
Office Phone: (858) 534-8819
News
*NEW* My technical report with Piotr Dollar and Serge Belongie titled "Multiple Instance Learning with Query Bags" is now posted here
*NEW* My work with Steve Branson and Serge Belongie titled "Similarity Functions for Categorization: from Monolithic to Category Specific" was accepted as an oral presentation at ICCV 2009
Code and data for MILTrack (Babenko et al. CVPR'09) is now on the project page!
Wojek et al. recently showed that MPL outperforms other algorithms on a pedestrian detection task. Check out their paper here.