Video Link: https://youtu.be/LPdbnasJ9wI
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In this episode, Sanyam Bhutani interviews Computer Vision Researcher at the Oxford VGG Group: Yuki Asano.
They talk all about Yuki's journey into Computer Vision and his research interests, how Yuki approaches research.
They 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.
Links:
A critical analysis of self-supervision, or what we can learn from a single image: https://arxiv.org/abs/1904.13132
Self-labelling via simultaneous clustering and representation learning: https://arxiv.org/abs/1911.05371
Labelling unlabelled videos from scratch with multi-modal self-supervision: https://arxiv.org/abs/2006.13662
Follow:
Yuki Asano:
https://twitter.com/y_m_asano
https://www.linkedin.com/in/yuki-m-asano/
https://yukimasano.github.io
Sanyam Bhutani:
https://twitter.com/bhutanisanyam1
Blog: sanyambhutani.com
About:
https://sanyambhutani.com/tag/chaitimedatascience/
A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.
You can expect weekly episodes every available as Video, Podcast, and blogposts.
If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd