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

#110 – Jitendra Malik: Computer Vision

Search the Record

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#94 – Ilya Sutskever: Deep Learning

#95 – Dawn Song: Adversarial Machine Learning and Computer Security

#96 – Stephen Schwarzman: Going Big in Business, Investing, and AI

#97 – Sertac Karaman: Robots That Fly and Robots That Drive

#99 – Karl Friston: Neuroscience and the Free Energy Principle

#101 – Joscha Bach: Artificial Consciousness and the Nature of Reality

#102 – Steven Pressfield: The War of Art

#103 – Ben Goertzel: Artificial General Intelligence

#104 – David Patterson: Computer Architecture and Data Storage

#105 – Robert Langer: Edison of Medicine

#106 – Matt Botvinick: Neuroscience, Psychology, and AI at DeepMind

#107 – Peter Singer: Suffering in Humans, Animals, and AI

#108 – Sergey Levine: Robotics and Machine Learning

#109 – Brian Kernighan: UNIX, C, AWK, AMPL, and Go Programming

#110 – Jitendra Malik: Computer Vision

#111 – Richard Karp: Algorithms and Computational Complexity

#112 – Ian Hutchinson: Nuclear Fusion, Plasma Physics, and Religion

#113 – Manolis Kellis: Human Genome and Evolutionary Dynamics

#114 – Russ Tedrake: Underactuated Robotics, Control, Dynamics and Touch

#115 – Dileep George: Brain-Inspired AI

#116 – Sara Seager: Search for Planets and Life Outside Our Solar System

#117 – Sheldon Solomon: Death and Meaning

#118 – Grant Sanderson: Math, Manim, Neural Networks & Teaching with 3Blue1Brown

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#119 – David Eagleman: Neuroplasticity and the Livewired Brain

#120 – François Chollet: Measures of Intelligence

Lex Solo #2 – The Future of Neuralink

#121 – Eugenia Kuyda: Friendship with an AI Companion

Lex Solo #3 – In Memory of My Grandmother

#122 – David Fravor: UFOs, Aliens, Fighter Jets, and Aerospace Engineering

Summary

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