The Department of Computational and Data Sciences (CDS) and the Kotak IISc AI-ML Centre (KIAC) at IISc warmly invite you for the short course on ‘Radiance Fields in Visual Computing and Artificial Intelligence’ by Professor Srinath Sridhar, who has recently joined KIAC as Visiting Professor.
The details of the course are as follows. The venue is 102, Seminar Hall, Department of Computational and Data Sciences, IISc.
Radiance Fields in Visual Computing and Artificial Intelligence
In this five-part tutorial, we introduce radiance fields, a technique for modeling the 3D shape and appearance from images, that has wide applications in visual computing and artificial intelligence. Part I will introduce radiance fields with concrete examples and applications and trace the history of radiance fields across computer vision, graphics, and medical imaging communities. In part II, we will introduce Neural Radiance Fields (NeRF) and related techniques that kick-started new interest in radiance fields. Part III will focus on 3D Gaussian Splatting (3DGS), a radically different way of representing radiance fields that re-ignited community interest. Finally, Parts IV will discuss the broad applications of radiance fields, and Part V will provide an outlook of the bleeding edge of radiance fields in both academia and industry.
| Part | Date, Time, Venue | Title |
| I | Monday, January 6, 2025 5:30PM, CDS 102 | Radiance Fields: Introduction, Applications, History |
| II | Wednesday, January 8, 2025 5:30PM, CDS 102 | Neural Radiance Fields (NeRFs) |
| III | Friday, January 10, 2025 5:30PM, CDS 102 | 3D Gaussian Splatting (3DGS) |
| IV | Monday, January 13, 2025 5:30PM, CDS 102 | Applications in Human Modeling, 3D Reconstruction, Robotics, and Beyond |
| V | Wednesday, January 15, 2025 5:30PM, CDS 102 | The Bleeding Edge of Radiance Fields |
Speaker biography
Srinath Sridhar (https://srinathsridhar.com) is an Assistant Professor of Computer Science at Brown University, where he leads the Interactive 3D Vision & Learning Lab (https://ivl.cs.brown.edu). He received his PhD at the Max Planck Institute for Informatics and
was subsequently a postdoctoral researcher at Stanford. His research interests are in 3D computer vision and machine learning. Specifically, his group focuses on visual understanding of 3D human physical interactions with applications ranging from robotics to mixed reality. He is a recipient of the NSF CAREER award, a Google Research Scholar award, and his work received the Eurographics Best Paper Honorable Mention. He spends part of his time as a visiting academic at Amazon Robotics and has previously spent time at Microsoft Research Redmond and Honda Research Institute.
Host faculty
Professor Venkatesh Babu Radhakrishnan, Department of Computational and Data Sciences, IISc
