Carl Vondrick

Ph.D. Student
Massachusetts Institute of Technology
Email: vondrick@mit.edu

CVGithubGoogle Scholar

About Me

I am a computer science Ph.D. student at MIT. My research focuses on computer vision, machine learning, and human computation. I believe that we can build intelligent systems by cleverly combining machines and humans.

I work at CSAIL where I am advised by Antonio Torralba. Previously, I was at UC Irvine working with Deva Ramanan. I have spent summers at Google Maps and Google X.

Highlights

Inferring Motivations of People
Can machines understand the reasons why
people might perform actions in images?

Project Page



Classifiers from Human Imagination
An experiment to acquire classifiers
from the human visual system.

Project Page



iHOG: Feature Visualization Tool
A tool to visualize feature spaces
commonly used in object detection.

Code Examples Demo



vatic: Video Annotation Tool
An interactive tool to efficiently annotate
massive videos on Mechanical Turk.

Code + Project Page


Papers

Inferring the Why in Images
Carl Vondrick*, Hamed Pirsiavash*, Antonio Torralba *equal contribution
Tech Report 2014
Paper Project Page

Acquiring Visual Classifiers from Human Imagination
Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba
Tech Report 2014
Paper Project Page

Assessing the Quality of Actions
Hamed Pirsiavash, Carl Vondrick, Antonio Torralba
ECCV 2014
Paper

HOGgles: Visualizing Object Detection Features
Carl Vondrick, Aditya Khosla, Tomasz Malisiewicz, Antonio Torralba
ICCV 2013
Paper Project Page Slides MIT News

Do We Need More Training Data or Better Models for Object Detection?
Xiangxin Zhu, Carl Vondrick, Deva Ramanan, Charless C. Fowlkes
BMVC 2012
Paper Slides

Efficiently Scaling Up Crowdsourced Video Annotation
Carl Vondrick, Donald Patterson, Deva Ramanan
IJCV 2012
Paper Slides Data + Code

Video Annotation and Tracking with Active Learning
Carl Vondrick, Deva Ramanan
NIPS 2011
Paper Slides Code

A Large-scale Benchmark Dataset for Event Recognition
Sangmin Oh, et al.
CVPR 2011
Paper Slides Data

Efficiently Scaling Up Video Annotation with Crowdsourced Marketplaces
Carl Vondrick, Deva Ramanan, Donald Patterson
ECCV 2010
Journal Paper Conference Paper Data + Code

Thesis

Visualizing Object Detection Features
Carl Vondrick
M.S. Thesis, MIT, 2013
Thesis Code

I'm normally not a praying man, but if you're up there, please save me, Superman. — Homer Simpson