News
(Oct 2025) The Single-Photon Challenge image reconstruction is announced! Visit https://SinglePhotonChallenge.com/ to sign-up and participate!
​
(Oct 2025) Atul is organizing the first Workshop on Computer Vision with Single-Photon Cameras at ICCV 2025.
​
(Sep 2025) Undergraduate research students Lyla Shukur and Austin Do presented their posters at the Maseeh College URMP symposium.
(Jul 2025) Thanks to the PSU Foundation Venture Development Fund for a grant that will support the commercialization and licensing efforts in our lab!
(June 2025) Congrats to my PhD student Sasi Mahalingam for receiving a travel award to attend the first Computational Imaging Summer School at ICCP 2025.
​
(June 2025) Congrats to my PhD student Kaustubh Sadekar for passing his PhD proposal exam and advancement to candidacy!
(Jan 2025) New collaborative grant (with Prof. Erik Sanchez, PSU-Physics) from the US Department of Energy on designing a scintillation camera for fast neutron imaging.
(Oct 2024) My PhD student Kaustubh Sadekar presented our paper titled “Single-Photon 3D Imaging with Equi-Depth Photon Histograms” at ECCV 2024.
(Sep 2024) Undergraduate research student Keylan Petty presented a poster at the Maseeh College URMP symposium.
(June 2024) My PhD student Hayden Galante attended the SPAD summer school and presented our poster titled “Count-Free Single-Photon LiDAR with Equi-Depth Histograms: An FPGA Implementation” at the Intl. SPAD Sensors Workshop 2024.
(July 2023) Our work on Count-Free Single-Photon 3D Imaging received the Best Paper Award at 2023 International Conference on Computational Photography (ICCP)!
(June 2023) CASPI: Collaborative Photon Processing for Active Single-Photon Imaging (joint work with UW-Madison) was published in Nature Communications!
(May 2023) Equi-depth photon histogramming work presented at the 2023 International Image Sensor Workshop in Crieff, Scotland.
(May 2023) Webpage for Project EDPHi (Equi-Depth Photon Histograms) is live.
Research Areas
Single-Photon Computational Cameras
Next-Generation 3D Cameras
Resource-Efficient Computer Vision
acquisition and processing techniques for high-speed single-photon cameras that capture scene information at nano-to-picosecond timescales
high-speed, high-resolution 3D sensing for various applications including computer vision, autonomous vehicles, industrial robotics and remote sensing
computational camera design from the ground-up for resource-constrained computer vision applications that require low power, low bandwidth and low cost
Contact Us
We are located in the Department of Computer Science at Portland State University.
Department of Computer Science
Attn: Atul Ingle
Portland State University
P.O. Box 751
Portland, OR 97207-0751 USA
503-725-3108
We are grateful to the following funding agencies for supporting our research.
US National Science Foundation
