Recent Results on Image Segmentation and Style Transfer
|Speaker:||Prof. Ming-Hsuan Yang|
|Date:||2018-12-13 (Thu) 14:00 - 15:30|
|Location:||Meeting Room 124 @ CITI|
In this talk, I will present our recent results on image segmentation transfer. In the first part of this talk, I will present our work on learning to segment objects into parts with and without supervision. In addition, I will discuss how we can use weakly-supervised learning for semantic segmentation by learning pixel affinity. In the second part, I will present a number of methods for style transfer from different perspectives. The developed methods can be applied to image and video style transfer. Furthermore, one method can be applied to ultra-resolution images efficiently. When time allows, I will also present our work on low-level and high-level vision tasks including image deblurring, synthesis, visual tracking, and pencil drawing.
Ming-Hsuan Yang is a senior research scientist at Google Cloud and a professor in Electrical Engineering and Computer Science at University of California, Merced. He received the PhD degree in Computer Science from the University of Illinois at Urbana-Champaign in 2000. He serves as an area chair for several conferences including IEEE Conference on Computer Vision and Pattern Recognition, IEEE International Conference on Computer Vision, European Conference on Computer Vision, Asian Conference on Computer, and AAAI National Conference on Artificial Intelligence. He serves as a program co-chair for IEEE International Conference on Computer Vision in 2019 as well as Asian Conference on Computer Vision in 2014, and general co-chair for Asian Conference on Computer Vision in 2016. He serves as an associate editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, Computer Vision and Image Understanding, Image and Vision Computing, and Journal of Artificial Intelligence Research. Yang received the Google Faculty Research Award in 2009, and the Distinguished Early Career Research Award from the UC Merced senate in 2011, the Faculty Early Career Development (CAREER) award from the National Science Foundation in 2012, and the Distinguished Research Award from UC Merced Senate in 2015. He receives paper awards from ACM UIST and IEEE CVPR. He is an IEEE Fellow since 2019.