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#110 – Jitendra Malik: Computer Vision

#110 – Jitendra Malik: Computer Vision

Lex Fridman Podcast vor 6 Jahren

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1:42:04

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.

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Here’s the outline of the episode. On some podcast players you
should be able to click the timestamp to jump to that time.

OUTLINE:

00:00 – Introduction

03:17 – 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