Intro

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 Info

Email - bbabenko AT cs DOT ucsd DOT edu
Location- UCSD, EBU3b (CSE Building), 4146

News

> I will presenting a poster at this years Jacob's School of Engineering Research Expo. Come check it out!
> Here is an exciting video giving a peek into my summer internship at Honda Research:

> This summer I will be interning at the Honda Research Institute working with Ming-Hsuan Yang.
> I have been recently admitted into the PhD program at UCSD!
> Check out my computer vision research project generator: [link]

Classes

Winter 07:
COGS 241: Ethics and Survival Skills in Academia (Kalichman)

Spring 07:
CSE 202: Algorithms (Hu)
CSE 291f: High Dimensional Data Analysis (Saul)

Winter 07:
CSE 221: Operating Systems (Pasquale)
CSE 291d: Probabilistic AI (Saul)

Fall 06:
CSE 240A: Computer Architecture (Taylor)
CSE 252C: Topics in Vision & Learning (Belongie)
CSE 291: Learning Theory (Dasgupta)

Spring 06:
CSE 252B: Computer Vision II (Belongie)
CSE 200: Complexity and Computability (Impagliazzo)
CSE 190: Applied Intro to Probability and Statistics (Freund)

Winter 06:
CSE 250B: Intro to Machine Learning (Dasgupta)
CSE 190A: Project in Vision and Learning (Belongie)