Carl Vondrick

Carl Vondrick

Research Scientist, Google
Assistant Professor, Columbia University

vondrick@cs.columbia.edu

Our research studies computer vision and machine learning. Our work often capitalizes on large amounts of raw data to efficiently teach machines, for example by learning without human supervision or transferring knowledge between tasks and modalities. We are interested in learning rich models of events and scenes that generalize to new tasks and predict unseen outcomes. Other interests include interpretable models, high-level reasoning, and perception for robotics.

I am currently a research scientist at Google Research. In Fall 2018, I will be an assistant professor in the computer science department at Columbia University. I received my Ph.D. from MIT and my bachelors degree from UC Irvine.

News

Papers

2018

The Sound of Pixels New!
Hang Zhao, Chuang Gan, Andrew Rouditchenko, Carl Vondrick, Josh McDermott, Antonio Torralba
arXiv 2018
Paper Project Page

2017

Following Gaze in Video
Adria Recasens, Carl Vondrick, Aditya Khosla, Antonio Torralba
ICCV 2017
Paper

Generating the Future with Adversarial Transformers
Carl Vondrick, Antonio Torralba
CVPR 2017
Paper Project Page

Cross-Modal Scene Networks
Yusuf Aytar*, Lluis Castrejon*, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
PAMI 2017
Paper Project Page

See, Hear, and Read: Deep Aligned Representations
Yusuf Aytar, Carl Vondrick, Antonio Torralba
arXiv 2017
Paper Project Page

2016

Generating Videos with Scene Dynamics
Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
NIPS 2016
Paper Project Page Code NBC Scientific American New Scientist MIT News

Predicting Motivations of Actions by Leveraging Text
Carl Vondrick, Deniz Oktay, Hamed Pirsiavash, Antonio Torralba
CVPR 2016
Paper Dataset

Learning Aligned Cross-Modal Representations from Weakly Aligned Data
Lluis Castrejon*, Yusuf Aytar*, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
CVPR 2016
Paper Project Page Demo

Visualizing Object Detection Features
Carl Vondrick, Aditya Khosla, Hamed Pirsiavash, Tomasz Malisiewicz, Antonio Torralba
IJCV 2016
Paper Project Page Slides MIT News

2015

Do We Need More Training Data?
Xiangxin Zhu, Carl Vondrick, Charless C. Fowlkes, Deva Ramanan
IJCV 2015
Paper Dataset

Learning Visual Biases from Human Imagination
Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba
NIPS 2015
Paper Project Page Technology Review

Where are they looking?
Adria Recasens*, Aditya Khosla*, Carl Vondrick, Antonio Torralba
NIPS 2015
Paper Project Page Demo

2014

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

2013

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

2012

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

Efficiently Scaling Up Crowdsourced Video Annotation
Carl Vondrick, Donald Patterson, Deva Ramanan
IJCV 2012
Paper Project Page

2011
2010

Efficiently Scaling Up Video Annotation with Crowdsourced Marketplaces
Carl Vondrick, Deva Ramanan, Donald Patterson
ECCV 2010
Paper Project Page