Panel: Computer vision in the next decade: Deeper or broader
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 (opens in new tab)
- Track:
- Towards Human-Like Visual Learning & Reasoning
- Date:
- Speakers:
- Xilin Chen, Kyoung Mu Lee, Yi Ma, Katsushi Ikeuchi, Chong Luo
- Affiliation:
- Chinese Academy of Sciences, Seoul National University, University of California, Berkeley, Microsoft Research Redmond, Microsoft Research Asia
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Xilin Chen
Professor
Chinese Academy of Sciences
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Kyoung Mu Lee
Professor
Seoul National University
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Yi Ma
Professor
University of California, Berkeley
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Katsushi Ikeuchi
Sr. Principal Research Manager
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Chong Luo
Principal Research Manager
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Towards Human-Like Visual Learning & Reasoning
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Opening remarks: Towards Human-Like Visual Learning and Reasoning
Speakers:- Wenjun Zeng,
- Wenjun Zeng
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Research talks: Learning for interpretability
Speakers:- Yuwang Wang,
- Hanwang Zhang,
- Shujian Yu
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Research talks: Few-shot and zero-shot visual learning and reasoning
Speakers:- Han Hu,
- Zhe Gan,
- Kyoung Mu Lee
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Research talks: Generalization and adaptation
Speakers:- Suha Kwak,
- Chong Luo,
- Lu Yuan
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