• Body Models Driving the Age of the Avatar – with Michael J. Black, Director, Perceiving Systems Department, Max Planck Institute for Intelligent Systems

  • 2022/07/14
  • 再生時間: 59 分
  • ポッドキャスト

Body Models Driving the Age of the Avatar – with Michael J. Black, Director, Perceiving Systems Department, Max Planck Institute for Intelligent Systems

  • サマリー

  • In this episode of Unboxing AI, I host Michael J. Black from the Max Planck Institute. We speak about body models, his journeys in industry and academia, representing all human body types and the age of the avatar. Michael explains about the early days of computer vision, his experiences commercializing body models through his startup, Body Labs, and how the metaverse and our avatars will revolutionize our everyday lives.

    Episode transcript and more at UnboxingAI.show

    TOPICS & TIMESTAMPS

    00:39 Guest Intro
    01:41 What are body models and why are they so useful?
    04:17 Human interpretability - important or not?
    05:32 Real use cases for body models
    10:54 History of body model development leading to SMPL
    19:21 Body model development beyond SMPL: MANO, FLAME, SMPL-X, and more
    22:11 Edge cases: dealing with unique body shapes
    24:45 Early days of computer vision
    27:37 Working at Xerox PARC
    30:00 Shifting to academia
    31:30 The vision for Perceiving Systems at MPI-IS
    34:15 Innovation and team structure at Perceiving Systems
    37:40 Perceiving Systems - similarities to a startup
    40:38 Founding Body Labs
    45:30 Body Labs' Acquisition by Amazon
    47:24 Distinguished Amazon Scholar role
    49:03 About Meshcapade
    50:05 What is the metaverse?
    50:56 The age of the avatar
    56:32 Career Tips for Computer Vision Engineers

    LINKS AND RESOURCES

    Michael J. Black @ MPI-IS
    LinkedIn
    Google Scholar
    Twitter
    YouTube

    Papers at CVPR 2022
    BEV
    OSSO
    EMOCA

    Body Models
    SMPL
    FLAME
    MANO
    SMPL-X
    STAR
    SCAPE

    About Meshcapade
    Website
    GitHub
    Instagram

    About Perceiving Systems
    Overview Video
    Website

    GUEST BIO

    Our guest is Michael J. Black, one of the founding directors of the Max Planck Institute for Intelligent Systems in Tübingen, Germany. He completed his PhD in computer science at Yale University, his postdoc at the University of Toronto, and has co-authored over 200 peer-reviewed papers to date. His research focuses on understanding humans and their behavior in video, working at the boundary of computer vision, machine learning, and computer graphics. His work on realistic 3D human body models such as SMPL has been widely used in both academia and industry, and in 2017, the start-up he co-founded to commercialize these technologies was acquired by Amazon. Today, Michael and his teams at MPI are developing exciting new capabilities in computer vision that will be important for the future of 3D avatars, the metaverse and beyond.

    ABOUT THE HOST

    I’m Gil Elbaz, Co-founder and CTO of Datagen. In this podcast, I speak with interesting computer vision thinkers and practitioners. I ask the big questions that touch on the issues and challenges that ML and CV engineers deal with every day. On the way, I hope you uncover a new subject or gain a different perspective, as well as enjoying engaging conversation. It’s about much more than the technical processes – it’s about people, journeys, and ideas. Turn up the volume, insights inside.

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あらすじ・解説

In this episode of Unboxing AI, I host Michael J. Black from the Max Planck Institute. We speak about body models, his journeys in industry and academia, representing all human body types and the age of the avatar. Michael explains about the early days of computer vision, his experiences commercializing body models through his startup, Body Labs, and how the metaverse and our avatars will revolutionize our everyday lives.

Episode transcript and more at UnboxingAI.show

TOPICS & TIMESTAMPS

00:39 Guest Intro
01:41 What are body models and why are they so useful?
04:17 Human interpretability - important or not?
05:32 Real use cases for body models
10:54 History of body model development leading to SMPL
19:21 Body model development beyond SMPL: MANO, FLAME, SMPL-X, and more
22:11 Edge cases: dealing with unique body shapes
24:45 Early days of computer vision
27:37 Working at Xerox PARC
30:00 Shifting to academia
31:30 The vision for Perceiving Systems at MPI-IS
34:15 Innovation and team structure at Perceiving Systems
37:40 Perceiving Systems - similarities to a startup
40:38 Founding Body Labs
45:30 Body Labs' Acquisition by Amazon
47:24 Distinguished Amazon Scholar role
49:03 About Meshcapade
50:05 What is the metaverse?
50:56 The age of the avatar
56:32 Career Tips for Computer Vision Engineers

LINKS AND RESOURCES

Michael J. Black @ MPI-IS
LinkedIn
Google Scholar
Twitter
YouTube

Papers at CVPR 2022
BEV
OSSO
EMOCA

Body Models
SMPL
FLAME
MANO
SMPL-X
STAR
SCAPE

About Meshcapade
Website
GitHub
Instagram

About Perceiving Systems
Overview Video
Website

GUEST BIO

Our guest is Michael J. Black, one of the founding directors of the Max Planck Institute for Intelligent Systems in Tübingen, Germany. He completed his PhD in computer science at Yale University, his postdoc at the University of Toronto, and has co-authored over 200 peer-reviewed papers to date. His research focuses on understanding humans and their behavior in video, working at the boundary of computer vision, machine learning, and computer graphics. His work on realistic 3D human body models such as SMPL has been widely used in both academia and industry, and in 2017, the start-up he co-founded to commercialize these technologies was acquired by Amazon. Today, Michael and his teams at MPI are developing exciting new capabilities in computer vision that will be important for the future of 3D avatars, the metaverse and beyond.

ABOUT THE HOST

I’m Gil Elbaz, Co-founder and CTO of Datagen. In this podcast, I speak with interesting computer vision thinkers and practitioners. I ask the big questions that touch on the issues and challenges that ML and CV engineers deal with every day. On the way, I hope you uncover a new subject or gain a different perspective, as well as enjoying engaging conversation. It’s about much more than the technical processes – it’s about people, journeys, and ideas. Turn up the volume, insights inside.

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