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Jitendra Malik: Computer Vision | Lex Fridman Podcast #110

Jitendra Malik is a professor at Berkeley and one of the seminal figures in the field of computer vision, the kind before the deep learning revolution, and the kind after. He has been cited over 180,000 times and has mentored many world-class researchers in computer science. Support this podcast by supporting our sponsors: - BetterHelp: http://betterhelp.com/lex - ExpressVPN at https://www.expressvpn.com/lexpod EPISODE LINKS: Jitendra's website: https://people.eecs.berkeley.edu/~malik/ Jitendra's wiki: https://en.wikipedia.org/wiki/Jitendra_Malik PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ Full episodes playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 Clips playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41 OUTLINE: 0:00 - Introduction 3:17 - Computer vision is hard 10:05 - Tesla Autopilot 21:20 - Human brain vs computers 23:14 - The general problem of computer vision 29:09 - Images vs video in computer vision 37:47 - Benchmarks in computer vision 40:06 - Active learning 45:34 - From pixels to semantics 52:47 - Semantic segmentation 57:05 - The three R's of computer vision 1:02:52 - End-to-end learning in computer vision 1:04:24 - 6 lessons we can learn from children 1:08:36 - Vision and language 1:12:30 - Turing test 1:16:17 - Open problems in computer vision 1:24:49 - AGI 1:35:47 - Pick the right problem CONNECT: - Subscribe to this YouTube channel - Twitter: https://twitter.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/LexFridmanPage - Instagram: https://www.instagram.com/lexfridman - Medium: https://medium.com/@lexfridman - Support on Patreon: https://www.patreon.com/lexfridman

Lex FridmanhostJitendra Malikguest
Jul 21, 20201h 41mWatch on YouTube ↗

CHAPTERS

  1. 0:00 – 3:17

    Introduction

  2. 3:17 – 10:05

    Computer vision is hard

  3. 10:05 – 21:20

    Tesla Autopilot

  4. 21:20 – 23:14

    Human brain vs computers

  5. 23:14 – 29:09

    The general problem of computer vision

  6. 29:09 – 37:47

    Images vs video in computer vision

  7. 37:47 – 40:06

    Benchmarks in computer vision

  8. 40:06 – 45:34

    Active learning

  9. 45:34 – 52:47

    From pixels to semantics

  10. 52:47 – 57:05

    Semantic segmentation

  11. 57:05 – 1:02:52

    The three R's of computer vision

  12. 1:02:52 – 1:04:24

    End-to-end learning in computer vision

  13. 1:04:24 – 1:08:36

    6 lessons we can learn from children

  14. 1:08:36 – 1:12:30

    Vision and language

  15. 1:12:30 – 1:16:17

    Turing test

  16. 1:16:17 – 1:24:49

    Open problems in computer vision

  17. 1:24:49 – 1:35:47

    AGI

  18. 1:35:47 – 1:41:36

    Pick the right problem

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