I am a PhD candidate at Dartmouth working with Prof. Adithya Pediredla in the Rendering and Imaging Science Lab (RISc). I build next-generation, low-cost LiDAR and imaging systems for high-speed perception and communication, drawing on diverse sensor modalities — event cameras, RGB-D, and emerging hybrid architectures. My current work repurposes acousto-optic beam steering and software-defined radios to push structured-light 3D scanning, time-of-flight depth imaging, and underwater optical communication to million-per-second rates on commodity hardware. I am particularly interested in computational methods that make real-world sensing robust and practical. Prior to my PhD, I completed my Master’s working with Prof. PJ Narayanan at the intersection of 3D vision and real-time graphics.
contact
research interests
Some things I'm interested in:
- Sensors (ToF, motion contrast, etc.)
- Processing sensor data
- HPC and automation for real-world applications
personal
some personal facts:
- I like capturing low-light images.
- Listening to music (less lyrical).
- Driving (I enjoy driving long distances).
- I collect a lot of superhero merchandise and am fond of bubble tea.
- I am borderline dyslexic (or maybe mildly dysgraphic, as ChatGPT suggests), so I occasionally (debatable 😬) invent new spellings for words like friend → freind or field → feild. And yes, this page has been corrected by ChatGPT.
publications
* = Equal contribution
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SDR-ToF: Million Optical Depth Samples per Second Using Software-Defined Radio
SIGGRAPH Asia (ACM ToG), 2026
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Underwater Optical Backscatter Communications using Acousto-Optic Beam Steering
SIGGRAPH Asia (ACM ToG), 2025
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Structured light with a million light planes per second
ICCP (TPAMI), 2025
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GSN: Generalisable Segmentation in Neural Radiance Field
AAAI, 2024
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FusedRF: Fusing Multiple Radiance Fields
XRNeRF CVPR Workshop, 2023
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Interactive Segmentation of Radiance Fields
CVPR, 2023
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Real-Time Rendering of Arbitrary Surface Geometries using Learnt Transfer
ICVGIP, 2022
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Learnt Transfer for Surface Geometries
HPG (Poster), 2022
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StyleTRF: Stylizing Tensorial Radiance Fields
ICVGIP, 2022
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PRTT: Precomputed Radiance Transfer Textures
arXiv, 2022
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Transfer Textures for Fast Precomputed Radiance Transfer
EuroGraphics (2-page Poster), 2022
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Neural View Synthesis with Appearance Editing from Unstructured Images
ICVGIP, 2021
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Appearance Editing with Free-viewpoint Neural Rendering
arXiv, 2021
patents
- MHz-Rate Optical Depth Imaging Using Software-Defined Radios Pediredla et al.
- Underwater Optical Backscatter Communication Using Acousto-Optic Beam Steering Pediredla et al.
- Event-Enhanced Histopathology Apparatus Pediredla et al.
talks & presentations
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Using Sound to Steer Light and Light to Measure Sound talk
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Controlling Light With Sound live demo
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From Rendering to Imaging: Controlling Light with Sound talk
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Underwater Optical Backscatter Communications using Acousto-Optic Beam Steering presentation
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Structured light with a million light planes per second presentation
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Structured light with a million light planes per second presentation
ICCP 2025 · IEEE International Conference on Computational Photography, Toronto, ON, Canada
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Interactive Segmentation of Radiance Fields presentation
NECV 2023 · New England Computer Vision Workshop, Dartmouth College, Hanover, NH, USA
projects
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Ultra-Fast Low-Cost LiDAR
Research Project
Building inexpensive LiDAR from commodity software-defined-radio hardware, reaching MHz-rate optical depth sampling for real-time, high-speed perception.
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Using AO to Sculpt and Steer Light Planes at High Speeds for Scanning Applications
Research Project
This project focuses on leveraging Acousto-Optic (AO) techniques to dynamically sculpt and steer light planes at high speeds, enabling efficient and precise scanning applications.
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Underwater Communication
Research Project
This project explores the use of Acousto-Optic (AO) sculpting techniques to enhance underwater communication systems.
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Object Retrieval from Radiance Fields
Research Project (with Dr. Rajvi Shah)
Interactive object and sub-scene retrieval from scenes represented as Radiance Fields. The work involves growing high-confidence object content to encompass intricate details, aiming for accurate retrieval.
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Real-time Rendering of Implicit Surfaces using Precomputed Radiance Transfer
Thesis · CVIT, IIIT-H, 2022
A simple yet fast approach to address the lack of a storage schema in the functional representation of surfaces for the incorporation of Precomputed Radiance Transfer (Spherical Harmonics) for both glossy and diffuse materials.
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Exploring Storage Schemas for Transfer Vector Storage
Research Project · IIIT-H, 2022
Exploration of storage schemas (UV and vertex attributes) to find optimal sampling and interpolation strategies for artifact-free renders.
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Appearance Editing and Novel View Synthesis of Captured Data
Research Project · CVIT, IIIT-H, 2021
Extends Novel View synthesis pipelines to accommodate appearance edits. Uses differentiable rendering to separate appearance, followed by a disentangled rendering framework.