Research talks: Generalization and adaptation
- Suha Kwak, Chong Luo, Lu Yuan | POSTECH, Microsoft Research Asia, Microsoft
- Microsoft Research Summit 2021 | Towards Human-Like Visual Learning & Reasoning
The limitations of big data-driven deep learning in scalability and adaptation to real-world scenarios hinder its practical applications. To address these limitations, it’s extremely important to develop architectures and algorithms that can capture the fundamentals of how humans learn, infer, and reason. Join Professor Suha Kwak from POSTECH, Microsoft Principal Researcher Chong Luo, and Microsoft Principal Research Manager Lu Yuan as they discuss the theory and practice of unsupervised visual representation learning for 3D point clouds, videos, and images, which help address model generalization and adaptation to new data domains and new downstream tasks.
Learn more about the 2021 Microsoft Research Summit: https://Aka.ms/researchsummit (opens in new tab)
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Suha Kwak
Professor
POSTECH
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Chong Luo
Sr. Principal Research Manager
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Lu Yuan
Principal Research Manager
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Towards Human-Like Visual Learning & Reasoning
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Research talks: Learning for interpretability
- Hanwang Zhang,
- Yuwang Wang,
- Shujian Yu
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Research talks: Few-shot and zero-shot visual learning and reasoning
- Kyoung Mu Lee,
- Han Hu,
- Zhe Gan
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Panel: Computer vision in the next decade: Deeper or broader
- Xilin Chen,
- Kyoung Mu Lee,
- Yi Ma
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Research talks: Generalization and adaptation
- Suha Kwak,
- Chong Luo,
- Lu Yuan
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