Computational Vision at UC Irvine  

Do We Need More Training Data?
Xiangxin Zhu, Carl Vondrick, Charless Fowlkes, Deva Ramanan
International Journal of Computer Vision, 2015, 1--17.
[pdf]

Efficiently Scaling up Crowdsourced Video Annotation - A Set of Best Practices for High Quality, Economical Video Labeling
Carl Vondrick, Donald Patterson, Deva Ramanan
International Journal of Computer Vision, 2013, 101, 1, 184-204.
[pdf]

Do we need more training data or better models for object detection?
Xiangxin Zhu, Carl Vondrick, Deva Ramanan, Charless Fowlkes
British Machine Vision Conference (BMVC), 2012.
[pdf]

A Large-scale Benchmark Dataset for Event Recognition in Surveillance Video
Sangmin Oh, Anthony Hoogs, Amitha Perera, Naresh Cuntoor, C.-C. Chen, Jong Lee, Saurajit Mukherjee, J. Aggarwal, Hyungtae Lee, Larry Davis, Eran Swears, Xioyang Wang, Qiang Ji, Kishore Reddy, Mubarak Shah, Carl Vondrick, Hamed Pirsiavash, Deva Ramanan, Jenny Yuen, Antonio Torralba, Bi Song, Anesco Fong, Amit Roy-Chowdhury, Mita Desai
CVPR, 2011.
[pdf]

Video Annotation and Tracking with Active Learning
Carl Vondrick, Deva Ramanan
NIPS, 2011, 28-36.
[pdf]

Efficiently Scaling Up Video Annotation with Crowdsourced Marketplaces
Carl Vondrick, Deva Ramanan, Donald Patterson
Proc. of the European Conference on Computer Vision, 2010.
[pdf]