Panel: Computer vision in the next decade: Deeper or broader

Channel:
Microsoft Research
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351,000
Published on ● Video Link: https://www.youtube.com/watch?v=Boz7PKjq-dg


Duration: 51:47
188 views
6

Moderator: Xilin Chen, Professor, Chinese Academy of Sciences
Speakers:
Kyoung Mu Lee, Professor, Seoul National University
Yi Ma, Professor, University of California, Berkeley
Katsushi Ikeuchi, Senior Principal Research Manager, Microsoft Research Redmond
Chong Luo, Principal Researcher, Microsoft Research Asia

Deep learning plus huge training data is a popular paradigm in computer vision. However, after a decade of growth, it’s time to revisit its strengths and weaknesses. Will there be a new trend in computer vision, or will it simply become an application of deep learning? Additionally, the combination of computer vision and natural language processing (NLP) has turned into an emerging topic in recent years. Does this signal a return to high-level computer vision? Join Professor Xilin Chen from the Chinese Academy of Sciences, Professor Kyoung Mu Lee from Seoul National University, Professor Yi Ma from UC Berkeley, Microsoft Senior Principal Research Manager Katsu Ikeuchi, and Microsoft Principal Researcher Chong Luo in a stimulating discussion on the important issues in computer vision, including the future of deep learning, the emerging areas, and whether we’re reaching the end of computer vision or a starting a new chapter. These world-leading experts will also offer suggestions for researchers just starting their career and provide guidance on where to get more training.

Learn more about the 2021 Microsoft Research Summit: https://Aka.ms/researchsummit



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Tags:
Human-Like Visual Learning
visual learning
visual Reasoning
big data deep learning
visual tasks
real-world tasks
microsoft research summit