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 knowledge from humans with machines.
Inferring Motivations of People
Can machines understand the reasons why
people might perform actions in images?
Classifiers from Human Imagination
An experiment to acquire classifiers
from the human visual system.
iHOG: Feature Visualization Tool
A tool to visualize feature spaces
commonly used in object detection.
Assessing the Quality of Actions
Hamed Pirsiavash, Carl Vondrick, Antonio Torralba
HOGgles: Visualizing Object Detection Features
Carl Vondrick, Aditya Khosla, Tomasz Malisiewicz, Antonio Torralba
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
Inferring the Why in Images
Carl Vondrick*, Hamed Pirsiavash*, Antonio Torralba *equal contribution
Tech Report 2014
Acquiring Visual Classifiers from Human Imagination
Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba
Tech Report 2014
Visualizing Object Detection Features
M.S. Thesis, MIT, 2013
I'm normally not a praying man, but if you're up there, please save me, Superman. — Homer Simpson