Optical Flow Estimation, Panoptic Segmentation, and Vision Transformers with Fatih Porikli – #579

Today we kick off our annual coverage of the CVPR conference joined by Fatih Porikli, Senior Director of Engineering at Qualcomm AI Research. In our conversation with Fatih, we explore a trio of CVPR-accepted papers, as well as a pair of upcoming workshops at the event. The first paper, Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation, presents a novel framework to integrate semantic and instance contexts for panoptic segmentation. Next up, we discuss Imposing Consistency for Optical Flow Estimation, a paper that introduces novel and effective consistency strategies for optical flow estimation. The final paper we discuss is IRISformer: Dense Vision Transformers for Single-Image Inverse Rendering in Indoor Scenes, which proposes a transformer architecture to simultaneously estimate depths, normals, spatially-varying albedo, roughness and lighting from a single image of an indoor scene. For each paper, we explore the motivations and challenges, and get concrete examples to demonstrate each problem and solution presented.

The complete show notes for this episode can be found at https://twimlai.com/go/579

Subscribe:

Apple Podcasts:
https://tinyurl.com/twimlapplepodcast
Spotify:
https://tinyurl.com/twimlspotify
Google Podcasts:
https://podcasts.google.com/?feed=aHR0cHM6Ly90d2ltbGFpLmxpYnN5bi5jb20vcnNz
RSS:
https://feeds.megaphone.fm/MLN2155636147
Full episodes playlist:

Subscribe to our Youtube Channel:
https://www.youtube.com/channel/UC7kjWIK1H8tfmFlzZO-wHMw?sub_confirmation=1

Podcast website:
https://twimlai.com
Sign up for our newsletter:

Newsletter


Check out our blog:
https://twimlai.com/blog
Follow us on Twitter:

Follow us on Facebook:
https://facebook.com/twimlai
Follow us on Instagram:
https://instagram.com/twimlai

YouTube Source for this AI Video

AI video(s) you might be interested in …