Research Focus
I'm interested in computer vision, computational imaging and machine learning. Broadly, I wish
to harness a conjuction of newer hardware and smarter algorithms to tackle a variety of problems. My
undergraduate research focussed on developing deep learning techniques to recover high-quality
images from lensless cameras.
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News
- (June 19th, 25) One first-authored paper accepted to ICCV! See you in Hawaii!
- (June 3rd, 25) One co-first-authored paper accepted to ICCP! See you in Toronto!
- (May 19th, 25) I will be interning at Snap, New York City this summer!
- (Jan 10th, 25) XRDS magazine published our invited article!
- (Aug 1st, 24) Our single-photon demo was recognized with the "best in show" award at SIGGRAPH E-Tech!
- (Jul 19th, 24) Demoing single-photon applications at SIGGRAPH. Say hi if you're at Denver next week!
- (Feb 26th, 24) One first-authored paper accepted at CVPR! See you in Seattle!
- (Jul 13th, 23) One first-authored paper accepted at ICCV as an oral presentation!
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Quanta Neural Networks: From Photons to Perception
Varun Sundar*,
Tianyi Zhang*,
Sacha Jungerman,
Mohit Gupta.
ICCV 2025
project page /
bibtex
A learnable temporal aggregation layer that transforms many image- and video-based neural networks into neural networks that work on the acquisition of quanta image sensors.
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Predicting Important Photons for Energy-Efficient Single-Photon Videography
Shantanu Gupta*,
Varun Sundar*,
Lucas J. Koerner,
Claudio Bruschini,
Edoardo Charbon,
Mohit Gupta.
TPAMI Special Issue (ICCP 2025)
project page /
bibtex
Reducing avalanche power consumption in passive video capture with SPAD sensors, by restricting measurements to salient pixels identified dynamically from the data.
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Quanta Computer Vision
Varun Sundar and
Mohit Gupta.
XRDS: Crossroads, The ACM Magazine for Students, 2025.
ACM page /
bibtex
An invited article in the Crossroads (XRDS) magazine, explaining single-photon imaging in an accessible manner.
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A Live Demo of Single-Photon Imaging and Applications
Sacha Jungerman*,
Varun Sundar*,
Mohit Gupta.
SIGGRAPH Emerging Technologies 2024
* denotes equal contribution.
Best in show award
project page /
ACM page /
bibtex
A demonstration of single-photon imaging capabilities---including high-speed, high-dynamic range, and low-light vision---at SIGGRAPH's emerging technologies track.
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Generalized Event Cameras
Varun Sundar*,
Matt Dutson*,
Andrei Ardelean,
Claudio Bruschini,
Edoardo Charbon,
Mohit Gupta.
CVPR 2024
* denotes equal contribution.
project page /
video /
bibtex
Single-photon cameras can not only emulate event cameras, but also facilitate a generalized space of intensity-preserving event cameras.
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SoDaCam: Software-defined Cameras via Single-Photon Imaging
Varun Sundar,
Andrei Ardelean,
Tristan Swedish,
Claudio Bruschini,
Edoardo Charbon,
Mohit Gupta.
ICCV 2023 (Oral)
project page /
video /
bibtex
Photon-level software-defined cameras can emulate a diverse range of imaging modalities.
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Seeing Photons in Color
Sizhuo Ma,
Varun Sundar,
Paul Mos,
Claudio Bruschini,
Edoardo Charbon,
Mohit Gupta.
SIGGRAPH 2023
project page /
video /
bibtex
Color filter and algorithm design for single-photon color imaging in low light.
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Single-Photon Structured Light
Varun Sundar,
Sizhuo Ma,
Aswin Sankarnarayanan,
Mohit Gupta.
Computer Vision and Pattern Recognition (CVPR) 2022
project page /
arXiv /
video /
bibtex
Single-Photon Avalanche Diodes (SPADs) can be operated as extremely high-speed binary imagers and find a synergistic application in Structuered Light.
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[Reproducibility Report]: Rigging the Lottery: Making All Tickets Winners
Varun Sundar,
Rajat Vadiraj Dwaraknath.
ML Reproducibility Challenge 2020, Rescience-C Journal
OpenReview /
arXiv /
YouTube /
W&B
Report /
bibtex
Reproducibility Report on the ICML 2020 paper "Rigging the Lottery: Making All Tickets Winners".
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Deep Atrous Guided
Filter
for Image Restoration in Under Display Cameras
Varun Sundar*,
Sumanth Hegde*,
Divya K Raman,
Kaushik Mitra.
ECCV RLQ-TOD Workshop, 2020
* denotes equal contribution.
project page /
arXiv /
video /
bibtex
Guided Filters when incorporated in a deep network can efficiently recover severely degraded,
mega-pixel resolution images.
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FlatNet: Towards Photorealistic Scene
Reconstruction from Lensless Measurements
Salman S. Khan*,
Varun Sundar*,
Vivek Boominathan,
Ashok Veeraraghavan,
Kaushik Mitra.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
* denotes equal contribution.
project page /
arXiv /
video /
bibtex
We propose a general learning based framework to recover photorealistic scenes from lensless
captures for both separable and non-separable forward models.
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