Invited Talk by Prof. Bolei Zhou (CUHK) on Deep Learning on Wednesday, May 12, 10 – 11:00 am
Wed, May 12th, 2021
10:00 am - 11:00 am
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Stat 315 (Applied ML) is inviting Prof. Bolei Zhou from the Chinese University of Hong Kong to give a special talk on Deep Learning. You may join via Zoom link: https://williams.zoom.us/j/8294371163.
Deep Learning for Scene Understanding from Recognition to Recreation
Abstract: Visual scene understanding, which aims at recognizing objects and their spatial relations in a complex scene context, is one of the hallmark tasks in computer vision. In this talk, I will first review the progress of deep learning on scene recognition in terms of large-scale scene categorization and parsing. Then I will introduce the paradigm shift toward scene recreation and the recent progress of interactive content creation. By discovering the interpretable factors in the deep generative models, we can steer the image generation process to edit the output image, such as changing the layout and the objects inside.
Bio: Bolei Zhou is an Assistant Professor with the Information Engineering Department at the Chinese University of Hong Kong. He earned his Ph.D. in computer science at the Massachusetts Institute of Technology. His research is on machine perception and autonomy, with a focus on enabling interpretable human-AI interactions. He received the MIT Tech Review’s Innovators under 35 in Asia-Pacific Award, Facebook Fellowship, Microsoft Research Asia Fellowship, MIT Greater China Fellowship, and his research was featured in media outlets such as TechCrunch, Quartz, and MIT News. More about his research is at http://bzhou.ie.cuhk.edu.hk/.
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