RESEARCH COMPONENT OF PHD QUALIFIER EXAM BY: Yingjie Wang
When: Thursday,
June 15, 2017
12:30 PM
-
2:30 PM
Where: Science & Engineering Building, Lester W. Cory Conference Room: Room 213A
Cost: Free
Description: Topic: A COMPARATIVE STUDY OF GENERATIVE ADVERSARIAL NETWORKS FOR IMAGE GENERATION
Location: Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A
Abstract:
Creating art and realistic images using generative model is a challenge task. The recent Generative Adversarial Networks (GANs), which is implemented by a generator and a discriminator competing against each other, show promising results to generate images. By applying GAN models on images, creative designs beyond human's imagination could be generated by machine. In this study, I conduct experiments and use various GANs to create images, like handbags, food, cars. I also analyze the advantages and disadvantages of multiple GAN structures on different tasks.
Note: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
Advisor: Dr. Honggang Wang
Committee Members: Dr. Liudong Xing, Department of Electrical & Computer Engineering and Dr. Donghui Yan, Department of Mathematics
*For further information, please contact Dr. Honggang Wang at 508.999.8469, or via email at hwang1@umassd.edu
Location: Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A
Abstract:
Creating art and realistic images using generative model is a challenge task. The recent Generative Adversarial Networks (GANs), which is implemented by a generator and a discriminator competing against each other, show promising results to generate images. By applying GAN models on images, creative designs beyond human's imagination could be generated by machine. In this study, I conduct experiments and use various GANs to create images, like handbags, food, cars. I also analyze the advantages and disadvantages of multiple GAN structures on different tasks.
Note: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
Advisor: Dr. Honggang Wang
Committee Members: Dr. Liudong Xing, Department of Electrical & Computer Engineering and Dr. Donghui Yan, Department of Mathematics
*For further information, please contact Dr. Honggang Wang at 508.999.8469, or via email at hwang1@umassd.edu
Contact:
ECE: Electrical & Computer Engineering Department 508.999.9164 http://www.umassd.edu/engineering/ece/
Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering