Imaging Science Seminar: Vishwanath Saragadam
Imaging Science Seminar
Co-designing Optics and Algorithms for High-dimensional Visual Computing
Vishwanath Saragadam, Ph.D.
Postdoctoral Researcher at Rice University
This seminar will focus on building new optics and cameras with meta-optics, modeling high-dimensional interactions with neural representations, and inferring while sensing with optical computing. In the future of computer vision, cameras do not merely sense but are part of the computing pipeline.
Abstract:
Abstract: The past two decades have seen tremendous advances in computer vision, all powered by the ubiquitous RGB sensor. However, light interacts in a complex manner with our surroundings and encodes information along space, time, angle, spectrum, and polarization. Building cameras to leverage these dimensions of light will not only dramatically improve vision applications of today, but will also be key to unlocking new capabilities across multiple domains such as robotics, biomedical imaging, security and biometrics, and environmental monitoring. Cameras for sampling such high dimensions need to solve three big challenges – (1) how do we sense multiple dimensions in an efficient manner (2) how do we model the data concisely, and (3) how do we build algorithms that scale to such high dimensions. In this talk, I will be introducing my work on high-dimensional visual computing that focuses on sampling, modeling, and inferring of visual signals beyond the RGB. My talk will focus on the synergy across three key thrusts: building new optics and cameras with meta-optics, modeling high-dimensional interactions with neural representations, and inferring while sensing with optical computing. The ideas presented in the talk will pave the way for the future of computer vision where cameras do not merely sense but are part of the computing pipeline.
Speaker Bio:
Vishwanath Saragadam is a postdoctoral researcher at Rice University with Prof. Richard G. Baraniuk and Prof. Ashok Veeraraghavan. Vishwanath’s research is at the intersection of computational imaging, meta-optics, and machine learning and focuses on co-designing optics, sensors, and algorithms for solving challenging problems in vision. He received his PhD from Carnegie Mellon University, advised by Prof. Aswin Sankaranarayanan, where his thesis won the A. G. Jordan outstanding thesis award in 2020. Vishwanath is a recipient of the best paper award at ICCP 2022, Prabhu and Poonam Goel graduate fellowship in 2019, and an outstanding teaching assistant award in 2018. In his free time, Vishwanath likes following James Webb Telescope updates, capturing thermal images while baking, and biking long distances.
Intended Audience:
Undergraduates, graduates, and experts. Those with interest in the topic.
Event Snapshot
When and Where
Who
Open to the Public
Interpreter Requested?
No