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Hosted by EveryPoint · EN · 18 episodes
Established thought leaders with verified media credentials.
A tidal wave of computer vision innovation is quickly having an impact on everyone's lives, but not everyone has the time to sit down and read through a bunch of news articles and learn what it means for them. In Computer Vision Decoded, we sit down with Jared Heinly, the Chief Scientist at EveryPoint, to discuss topics in today’s quickly evolving world of computer vision and decode what they mean for you. If you want to be sure you understand everything happening in the world of computer vision, don't miss an episode!
EveryPoint hosts Computer Vision Decoded, a technology show with 18 episodes published.
In this episode of Computer Vision Decoded, we bring to you a live recording of Jared Heinly presentation on the evolution of image based 3D reconstruction. This recording was from a Computer Vision Decoded meetup in Pit
In this episode of Computer Vision Decoded, our hosts Jonathan Stephens and Jared Heinly are joined by Ruilong Li, a researcher at NVIDIA and key contributor to both Nerfstudio and gsplat, to dive deep into 3D Gaussian S
In this episode of Computer Vision Decoded, hosts Jonathan Stephens and Jared Heinly explore the various types of cameras used in computer vision and 3D reconstruction. They discuss the strengths and weaknesses of smartp
In this episode, Jonathan Stephens and Jared Heinly delve into the intricacies of COLMAP, a powerful tool for 3D reconstruction from images. They discuss the workflow of COLMAP, including feature extraction, corresponden
In this episode, we discuss practical tips and challenges in 3D reconstruction from images, focusing on various environments such as urban, indoor, and outdoor settings. We explore issues like repetitive structures, ligh
In this episode of Computer Vision Decoded, Jonathan Stephens and Jared Heinly explore the concept of depth maps in computer vision. They discuss the basics of depth and depth maps, their applications in smartphones, and
After an 18 month hiatus, we are back! In this episode of Computer Vision Decoded, hosts Jonathan Stephens and Jared Heinly discuss the latest advancements in computer vision technology, personal updates, and insights fr
In this episode of Computer Vision Decoded, we are going to dive into our in-house computer vision expert's reaction to the iPhone 15 and iPhone 15 Pro announcement. We dive into the camera upgrades, decode what a quad s
In this episode of Computer Vision Decoded, we are going to dive into Pierre Moulon's 10 years experience building OpenMVG. We also cover the impact of open-source software in the computer vision industry and everything
In this episode of Computer Vision Decoded, we are going to dive into implicit neural representations. We are joined by Itzik Ben-Shabat, a Visiting Research Fellow at the Australian National Universit (ANU) and Technion
In this episode of Computer Vision Decoded, we are going to dive into 4 different ways to 3D reconstruct a scene with images. Our cohost Jared Heinly, a PhD in the computer science specializing in 3D reconstruction from
Join our guest, Keith Ito, founder of Scaniverse as we discuss the challenges of creating a 3D capture app for iPhones. Keith goes into depth on balancing speed with quality of 3D output and how he designed an intuitive
In this episode of Computer Vision Decoded, we are going to dive into one of the hottest topics in the industry: Neural Radiance Fields (NeRFs) We are joined by Matt Tancik, a student pursuing a PhD in the computer scien
In this episode of Computer Vision Decoded, we are going to dive into image capture best practices for 3D reconstruction. At the end of this livestream, you will have learned the basics for capturing scenes and objects.
In this episode of Computer Vision Decoded, we join Jared Heinly and Jonathan Stephens from EveryPoint for their live reaction to the iPhone 14 series announcement. They go in depth into what all the camera specs mean to
In this episode of Computer Vision Decoded, we sit down with Jared Heinly, Chief Scientist at EveryPoint, to discuss 3D reconstruction in the wild. What does “in the wild” mean? This means 3D reconstructing objects and s
In this episode of Computer Vision Decoded we dive into Jared Heinly's recent trip to the CVPR Conference. We cover: what the conference about, who should attend, what are the emerging trends in computer vision, how mach
In this inaugural episode of Computer Vision Decoded we dive into the recent announcements at WWDC 2022 and find out what they mean for the computer vision community. We talk about what Apple is doing with their new Room
Ruilong Li
NVIDIA
1 appearance on this show
Itzik Ben-Shabat
Technion – Israel Institute of Technology
1 appearance on this show
Keith Ito
Scaniverse
1 appearance on this show
Matt Tancik
UC Berkeley
1 appearance on this show
Jonathan Stephens
EveryPoint
1 appearance on this show
Jared Heinly
EveryPoint
1 appearance on this show
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Computer Vision Decoded is hosted by EveryPoint. The show is categorised under technology (science) and has published 18 episodes.
Computer Vision Decoded has published 18 episodes.
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