Yi Yang (杨亿) 祝妈妈早日康复(CV)
Myself: 4th year PhD Student in Computer Science
Office: DBH 4209, University of Califorina Irvine, Irvine, CA, 92697
Email: yyang8 AT ics DOT uci DOT edu
Research Interest
- Object Detection
- Image Segmentation
- Articulated Pose Estimation
About Me
- I am currently a PhD student in Computer Science Department at UC Irvine. I am a member of the Computational Vision Group where I am advised by Professor Deva Ramanan. I am a fan of computer vision, machine learning and artificial intelligence. And I hope that some day in the future robots can help human in all daily lives.
- I had a summer 2011 internship at Microsoft Research Silicon Valley, where I worked with Simon Baker, Anitha Kannan and Deva Ramanan on proxemics recognition.
- Previously I completed a master degree in Department of Industrial Engineering & Logistics Management at Hong Kong University of Science and Technology with Professor L. Jeff Hong, and a bachelor degree in Department of Automation at Tsinghua University.
Publications
Proxemics Recognition in Personal Photos
Yi Yang, Simon Baker, Deva Ramanan, Anitha Kannan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.
[Website] [Paper] [Slides]
Layered Object Models for Image Segmentation
Yi Yang, Sam Hallman, Deva Ramanan, Charless Fowlkes
IEEE Transactions on Pattern Analysis and Machine Intelligence, (PAMI). In press.
[Website] [Paper]
Sequential Convex Approximations to Joint Chance Constrained Programs: a Monte Carlo Approach
L. Jeff Hong, Yi Yang, Liwei Zhang
Operations Research, (OR). In press.
[Website] [Paper] [Slides]
Articulated Pose Estimation with Flexible Mixtures-of-parts
Yi Yang, Deva Ramanan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Spring, USA, 2011.
[Website] [Paper] [Slides]
Layered Object Detection for Multi-Class Segmentation
Yi Yang, Sam Hallman, Deva Ramanan, Charless Fowlkes
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, USA, 2010.
[Website] [Paper] [Slides]
