- July 2026: Paper won best paper award at ICCP 2026 , and recommended for TPAMI.
- June 2026: Poster at CCD workshop CVPR 2026
- Oct 2025: Six months 3D ML fellowship at HILOS Inc.
- May 2025: Awarded Dr. Abdul Qayum Endowed Graduate Fellowship for $4,000.00.
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High-Flux Count-Free Single-Photon 3D Cameras
Kaustubh Sadekar,
Vivek K Goyal,
David Maier,
Atul Ingle,
Best paper award! ICCP, 2026, (Recommended for TPAMI),
project page/
arXiv/
Code (coming soon)
Our hardware-algorithm co-design can recover accurate scene distances from highly distorted, low-memory single-photon camera measurements.
We jointly address two main challenges of single-photon 3D cameras: extreme data rates and dead time distortion in high-flux scenarios
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RASP: Revisiting 3D Anamorphic Art for Shadow‑Guided Packing of Irregular Objects
Soumyaratna Debnath,
Ashish Tiwari,
Kaustubh Sadekar,
Shanmuganathan Raman,
CVPR, 2025
project page/
arXiv/
video/
Code
We introduce RASP, a differentiable-rendering-based framework for optimizing 3D object arrangements
using shadow-guided constraints, enabling efficient packing, part assembly, and multi-view anamorphic art creation.
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Single-Photon 3D Imaging with Equi-Depth Photon Histograms
Kaustubh Sadekar,
David Maier,
Atul Ingle,
ECCV, 2024
project page/
arXiv/
video/
Code
Our work paves the way towards lower bandwidth and reduced in-pixel memory requirements for single-photon 3D cameras,
making them attractive for resource-constrained 3D vision applications.
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3D sensing with single-photon cameras for resource-constrained applications
Kaustubh Sadekar,
David Maier,
Atul Ingle,
CVPR (CCD Workshop), 2024
poster/
video
We propose a new 3D imaging technique to reduce the bandwidth and in-pixel memory requirements for single-photon 3D cameras.
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Shadow Art Revisited: A Differentiable Rendering Based Approach
Kaustubh Sadekar,
Ashish Tiwari,
Shanmuganathan Raman,
WACV, 2022
project page/
arXiv/
video
We use differentiable rendering to create artistic 3D sculptures for shadow art effects.
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LS-HDIB: A Large Scale Handwritten Document Image Binarization Dataset
Kaustubh Sadekar,
Ashish Tiwari,
Prajwal Singh,
Shanmuganathan Raman,
ICPR, 2022
project page/
arXiv/
video
We propose a large scale dataset of 1 Million challenging images for the task of handwritten document image binarization (HDIB) with accurate segmentation ground truth.
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TreeGCN-ED: Encoding Point Cloud using a Tree-Structured Graph Network
Prajwal Singh,
Kaustubh Sadekar,
Shanmuganathan Raman,
arXiv, 2021
project page/
arXiv/
video
We propose a large scale dataset of 1 Million images for the task of hand written document image binarization with accurate segmentation ground truth.
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