I am a computer science Ph.D. student at MIT. My research focuses on computer vision and machine learning. I aim to build intelligent systems by combining knowledge from humans with machines.
Judging People's Actions
Algorithms that estimate how well people perform
actions and offers suggestions to improve.
Classifiers from Human Imagination
Experiments to print classifiers from the
human visual system into a machine.
Inferring Motivations of People
Mining commonsense knowledge to predict
why people in images are performing actions.
iHOG: Feature Visualization Tool
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
Acquiring Visual Classifiers from Human Imagination
Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba
Inferring the Why in Images
Carl Vondrick*, Hamed Pirsiavash*, Antonio Torralba *equal contribution
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