Yong Jae Lee

Assistant Professor
Department of Computer Science
UC Davis

Office: Kemper Hall 3055
Email: yjlee at cs dot ucdavis dot edu
Phone: (530) 752-3788

Google Scholar


Since July 2014, I am an Assistant Professor in the CS Dept at UC Davis.  Before this, I was a Postdoctoral Fellow in the EECS Dept at UC Berkeley working with Alyosha Efros.  I also spent a year as a Postdoctoral Fellow in the Robotics Institute at Carnegie Mellon University (8/2012-8/2013), where I had the good fortune to work with Alyosha Efros and Martial Hebert.  I obtained my Ph.D. from the University of Texas at Austin in May 2012 under the supervision of Kristen Grauman, and my B.S. from the University of Illinois at Urbana-Champaign in May 2006.  I have also worked with Larry Zitnick and Michael Cohen as a summer intern at Microsoft Research.


News


Research Interests

My research interests are in computer vision, machine learning, and computer graphics.  I am particularly interested in developing robust visual recognition systems that can meaningfully make use of the vast and ever increasing unstructured image and video content currently available with minimal human supervision.


Teaching

ECS 189G: Intro to Computer Vision (Spring 2015)
ECS 289H: Visual Recognition (Fall 2014)


Lab Members

Fanyi Xiao


Publications


NEW!  Discovering the Spatial Extent of Relative Attributes
Fanyi Xiao and Yong Jae Lee
to appear, Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2015 (Oral presentation)


FlowWeb: Joint Image Set Alignment by Weaving Consistent, Pixel-wise Correspondences
Tinghui Zhou, Yong Jae Lee, Stella X. Yu, and Alexei A. Efros
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 (
Oral presentation)
[project page] [pdf] [code]


Predicting Important Objects for Egocentric Video Summarization
Yong Jae Lee and Kristen Grauman
International Journal of Computer Vision (IJCV),
2015         
[project page] [pdf] [arXiv]


Weakly-supervised Discovery of Visual Pattern Configurations
Hyun Oh Song, Yong Jae Lee, Stefanie Jegelka, and Trevor Darrell
Neural Information Processing Systems (NIPS), 2014
[pdf]


AverageExplorer: Interactive Exploration and Alignment of Visual Data Collections
Jun-Yan Zhu, Yong Jae Lee, and Alexei A. Efros
ACM Transactions on Graphics (Proceedings of SIGGRAPH), 2014 (
Oral presentation)
[project page]
[pdf] [youtube] [See article in The New Yorker]


Style-aware Mid-level Representation for Discovering Visual Connections in Space and Time
Yong Jae Lee, Alexei A. Efros, and Martial Hebert
Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2013 (
Oral presentation)
[project page]
[pdf] [slides] [code] [data] [video presentation]


Discovering Important People and Objects for Egocentric Video Summarization
Yong Jae Lee, Joydeep Ghosh, and Kristen Grauman
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012
[project page]
[pdf] [supp] [extended abstract]


Object-Graphs for Context-Aware Visual Category Discovery
Yong Jae Lee and Kristen Grauman
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2012
[project page]
[pdf] [code]


Key-Segments for Video Object Segmentation
Yong Jae Lee, Jaechul Kim, and Kristen Grauman
Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2011
[project page]
[pdf] [code] [data]


ShadowDraw: Real-Time User Guidance for Freehand Drawing
Yong Jae Lee, Larry Zitnick, and Michael Cohen
ACM Transactions on Graphics (Proceedings of SIGGRAPH), 2011 (
Oral presentation)
[project page]
[pdf] [slides] [video] [youtube] [data]


Face Discovery with Social Context
Yong Jae Lee and Kristen Grauman
Proceedings of the British Machine Vision Conference (BMVC), 2011         
[project page]
[pdf] [extended abstract]


Learning the Easy Things First: Self-Paced Visual Category Discovery
Yong Jae Lee and Kristen Grauman
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011
[project page]
[pdf]


Object-Graphs for Context-Aware Category Discovery
Yong Jae Lee and Kristen Grauman

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010 (
Oral presentation)
[project page]
[pdf] [supp] [slides] [code]


Collect-Cut: Segmentation with Top-Down Cues Discovered in Multi-Object Images
Yong Jae Lee and Kristen Grauman

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010
[project page]
[pdf] [supp] [data]


Foreground Focus: Unsupervised Learning from Partially Matching Images
Yong Jae Lee and Kristen Grauman

International Journal of Computer Vision (IJCV), 2009         
[project page]
[pdf]


Shape Discovery from Unlabeled Image Collections
Yong Jae Lee and Kristen Grauman

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009
[project page]
[pdf] [supp]


Foreground Focus: Finding Meaningful Features in Unlabeled Images
Yong Jae Lee
and Kristen Grauman

Proceedings of the British Machine Vision Conference (BMVC), 2008 (
Oral presentation)
[project page]
[pdf] [slides]


Ray-based Color Image Segmentation
Changhai Xu, Yong Jae Lee, and Benjamin Kuipers
Proceedings of the Canadian Conference on Computer and Robot Vision (CRV), 2008
                   
[pdf]


Theses

PhD thesis: Visual Object Category Discovery in Images and Videos
MS thesis: Foreground Focus: Finding Meaningful Features in Unlabeled Images


Note to Prospective Students

I am looking for highly-motivated graduate students to work with me on exciting computer vision and machine learning research problems.  If you're interested, please apply to the UC Davis Computer Science department's application website, and indicate your interest to work with me on the application form.  Unfortunately, I may not be able to respond to all emails about admission to our graduate program.