Unboxing AI: The Podcast for Computer Vision Engineers - podcast cover

Unboxing AI: The Podcast for Computer Vision Engineers

Unboxing AIunboxingai.show
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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Episodes

YOLO: Building AI with an Open-Source Community

ABSTRACT Our guest this episode is Glenn Jocher, CEO and founder of Ultralytics, the company that brought you YOLO v5 and v8. Gil and Glenn discuss how to build an open-source community on Github, the history of YOLO and even particle physics. They also talk about the progress of AI, diffusion and transformer models and the importance of simulated synthetic data today. The first episode of season 2 is full of stimulating conversation to understand the applications of YOLO and the impact of open ...

Apr 16, 202353 minSeason 2Ep. 1

Synthetic Data: Simulation & Visual Effects at Scale

ABSTRACT Gil Elbaz speaks with Tadas Baltrusaitis, who recently released the seminal paper DigiFace 1M: 1 Million Digital Face Images for Face Recognition. Tadas is a true believer in synthetic data and shares his deep knowledge of the subject along with insights on the current state of the field and what CV engineers need to know. Join Gil as they discuss morphable models, multimodal learning, domain gaps, edge cases and more TOPICS & TIMESTAMPS 0:00 Introduction 2:06 Getting started in com...

Jan 04, 202354 minSeason 1Ep. 8

SLAM and the Evolution of Spatial AI

Host Gil Elbaz welcomes Andrew J. Davison, the father of SLAM. Andrew and Gil dive right into how SLAM has evolved and how it started. They speak about Spatial AI and what it means along with a discussion about global belief propagation. Of course, they talk about robotics, how it's impacted by new technologies like NeRF and what is the current state-of-the-art. Timestamps and Topics [00:00:00] Intro [00:02:07] Early Research Leading to SLAM [00:04:49] Why SLAM [00:08:20] Computer Vision Based S...

Nov 07, 20221 hr 3 minSeason 1Ep. 7

The Next Frontier: Computer Vision on 3D Data - with Or Litany, Sr. Research Scientist, NVIDIA

Gil Elbaz hosts Or Litany, a senior research scientist at NVIDIA. They discuss the impact of 3D on computer vision and where it’s going in the near future. As well, they talk about the impact of industry on academia and vice versa. Or speaks about the future of 3D generative models, NeRF and how multi-modal models are changing computer vision. Together, Gil and Or explore the best ways to succeed in the field of AI. TOPICS & TIMESTAMPS [0:34] Intro [2:01] Starting his journey [5:03] Heat tra...

Sep 14, 20221 hr 25 minSeason 1Ep. 6

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

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:...

Jul 14, 202259 minSeason 1Ep. 5

Solving Autonomous Driving At Scale – With Vijay Badrinarayanan, VP of AI, Wayve

In this episode of Unboxing AI, meet Vijay Badrinarayanan , the VP of AI at Wayve, and learn about Wayve’s end-to-end machine learning approach to self-driving. Along the way, Vijay shares what it was like working for Magic Leap in the early days, and relates the research journey that led to SegNet. TOPICS & TIMESTAMPS 00:47 Guest Intro 02:38 Academia & Classic Computer Vision 08:56 PostDoc @ Cambridge - Road scene segmentation 18:42 Technical Challenges Faced During Early Deep Computer ...

May 23, 20221 hr 19 minSeason 1Ep. 4

Saving Lives with Deep Learning & Robust Infrastructure - with Idan Bassuk, VP A.I., Aidoc

In this episode of Unboxing AI, I host Idan Bassuk, the VP A.I. at Aidoc , to chat about computer vision, NLP, and AI explainability in the medical field. During the episode, Idan discusses the challenges that should interest anyone who’s building an AI team for scale. For example: what type of roles does he have on his team? Is it engineering first or data first? Does the real world of production resemble the rich academic research in the medical space? TOPICS & TIMESTAMPS 1:52 - Going from...

Apr 25, 20221 hr 7 minSeason 1Ep. 3

The Pace of Progress in Academia and Industry - with Prof. Lihi Zelnik-Manor, Faculty of Electrical and Computer Engineering, Technion

Listen in as Prof. Lihi Zelnik-Manor shares insights from a career that bridges from academia to industry. Lihi walks us through the history of the computer vision development community to the interplay between the industry and academia today. Lihi Zelnik-Manor is an Professor in the Faculty of Electrical and Computer Engineering at the Technion and former General Manager of Alibaba DAMO Israel Lab. Prof. Zelnik-Manor holds a PhD and MSc (with honors) in Computer Science from the Weizmann Instit...

Mar 28, 20221 hr 4 minSeason 1Ep. 2

Sorted and Sifted Machine Learning - with Anthony Goldbloom, Kaggle

Are you up to solving a machine learning problem? If so, start on Kaggle. Anthony Goldbloom, co-founder and CEO of Kaggle, joins us to talk about what it takes to found a machine learning community. We answer the question of what happens when you cross a domain expert with a pragmatic problem solver. Anthony talks about the future of AI and computer vision, how important it is to learn through doing and what he is looking forward to in the next year.

Mar 03, 202239 minSeason 1Ep. 1
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