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Showing episodes and shows of
Yizhak Ben-Shabat (Itzik)
Shows
Talking Papers Podcast
3DInAction - Yizhak Ben-Shabat
🎙️ **Unveiling 3DInAction with Yizhak Ben-Shabat | Talking Papers Podcast** 🎙️📚 *Title:* 3DInAction: Understanding Human Actions in 3D Point Clouds 📅 *Published In:* CVPR 2024 👤 *Guest:* Yizhak (Itzik) Ben-ShabatWelcome back to another exciting episode of the Talking Papers Podcast, where we bring you the latest breakthroughs in academic research directly from early career academics and PhD students! This week, we have the pleasure of hosting Itzik Ben-Shabat to discuss his groundbreaking paper *3DInAction: Understanding Human Actions in 3D Point Clouds*, published in CVPR 2024 as a highlight.In this episode, we delve into a novel method for 3D point cloud ac...
2024-06-03
30 min
Talking Papers Podcast
IAW Dataset - Jiahao Zhang
All links are available in the blog post.In this episode of the Talking Papers Podcast, I hosted Jiahao Zhang to chat about our CVPR 2023 paper "Aligning Step-by-Step Instructional Diagrams to Video Demonstrations".furniture assembly diagram. To do that, we collected and annotated a brand new dataset: "IKEA Assembly in the Wild" where we aligned YouTube videos with IKEA's instruction manuals. Our approach to addressing this task proposes several supervised contrastive losses that contrast between video and diagram, video and manual, and internal manual images. Jiahao is currently a PhD student at the...
2023-05-17
34 min
Computer Vision Decoded
Understanding Implicit Neural Representations with Itzik Ben-Shabat
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 – Israel Institute of Technology as well as the host of the Talking Paper Podcast.You will learn a core understanding of implicit neural representations, key concepts and terminology, how it's being used in applications today, and Itzik's research into improving output with limit input data.Episode timeline:00:00 Intro01:23 Overview of what implicit neural representations are04:08 Ho...
2023-04-21
55 min
Talking Papers Podcast
DiGS - Chamin Hewa Koneputugodage
In this episode of the Talking Papers Podcast, I hosted Chamin Hewa Koneputugodage to chat about OUR paper "DiGS: Divergence guided shape implicit neural representation for unoriented point clouds”, published in CVPR 2022. In this paper, we took on the task of surface reconstruction using a novel divergence-guided approach. Unlike previous methods, we do not use normal vectors for supervision. To compensate for that, we add a divergence minimization loss as a regularize to get a coarse shape and then anneal it as training progresses to get finer detail. Additionally, we propose two new geometric initialization for SIREN-based networks tha...
2022-06-14
40 min