Video Link: https://youtu.be/LPdbnasJ9wI
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\nIn this episode, Sanyam Bhutani interviews Computer Vision Researcher at the Oxford VGG Group: Yuki Asano.
\nThey talk all about Yuki's journey into Computer Vision and his research interests, how Yuki approaches research.
\nThey also discuss three of Yuki's recent works and Yuki walks us through the process of how he approached the projects, along with an interesting overview of the same.
\nLinks:
\nA critical analysis of self-supervision, or what we can learn from a single image: https://arxiv.org/abs/1904.13132
\nSelf-labelling via simultaneous clustering and representation learning: https://arxiv.org/abs/1911.05371
\nLabelling unlabelled videos from scratch with multi-modal self-supervision: https://arxiv.org/abs/2006.13662
\nFollow:
\nYuki Asano:
\nhttps://twitter.com/y_m_asano
\nhttps://www.linkedin.com/in/yuki-m-asano/
\nhttps://yukimasano.github.io
\nSanyam Bhutani:
\nhttps://twitter.com/bhutanisanyam1
\nBlog: sanyambhutani.com
\nAbout:
\nhttps://sanyambhutani.com/tag/chaitimedatascience/
\nA show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.
\nYou can expect weekly episodes every available as Video, Podcast, and blogposts.
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\nIntro track:
\nFlow by LiQWYD https://soundcloud.com/liqwyd