I am a computer science Ph.D. student at MIT. I work at CSAIL with the Computer Vision Group where I am advised by Antonio Torralba. My research revolves around computer vision, machine learning, and human-computer interaction.
I am best contacted by email:
D542 Stata Center
32 Vassar Street
Cambridge, MA 02139
I completed my B.S. in computer science in 2011 at UC Irvine where I was advised by Deva Ramanan. I was at Google Maps for the summer of 2012 working with Dave Gallup. Next summer, I will be at Google X Lab working with Adrien Treuille.
My curriculum vitae has more information.
iHOG: Feature Visualization Tool
A tool to visualize feature spaces
commonly used in object detection.
vatic: Video Annotation Tool
An interactive tool to efficiently annotate
massive videos on Mechanical Turk.
Inverting and Visualizing Features for Object Detection
Carl Vondrick, Aditya Khosla, Tomasz Malisiewicz, Antonio Torralba
arXiv 2012 (pre-print)
Do We Need More Training Data or Better Models for Object Detection?
Xiangxin Zhu, Carl Vondrick, Deva Ramanan, Charless C. Fowlkes
Efficiently Scaling Up Crowdsourced Video Annotation
Carl Vondrick, Donald Patterson, Deva Ramanan
Video Annotation and Tracking with Active Learning
Carl Vondrick, Deva Ramanan
A Large-scale Benchmark Dataset for Event Recognition
Sangmin Oh, et al.
Efficiently Scaling Up Video Annotation with Crowdsourced Marketplaces
Carl Vondrick, Deva Ramanan, Donald Patterson
Visualizing Object Detection Features
M.S. Thesis, MIT, 2013
- My Github page where I open source most of my code
- Google Scholar page
- Erdös number: 3
- Favorite Quotes
I'm normally not a praying man, but if you're up there, please save me, Superman.
— Homer Simpson