(selected)

John Janiczek, Parth Thaker, Gautam Dasarathy, Christopher Edwards, Philip Christensen, Suren Jayasuriya, Differentiable Programming for Hyperspectral Unmixing using a Physics-based Dispersion Model, European Conference on Computer Vision (ECCV) 2020

Kristofer Henderson, Xiaomeng Liu, Justin Folden, Brevin Tilmon, Suren Jayasuriya, Sanjeev Koppal, Design and Calibration of a Fast Flying-Dot Projector for Dynamic Light Transport Acquisition, IEEE Transactions on Computational Imaging (TCI) 2020

Madeleine Jennings, Rod Roscoe, Nadia Kellam, Suren Jayasuriya, A Review of the State of LGBTQIA+ Student Research in STEM and Engineering Education, American Society of Engineering Education (ASEE) Conference 2020 (Finalist for Best Diversity, Equity and Inclusion Award)

H. Kubo, S. Jayasuriya, T. Iwaguchi, T. Funatomi, Y. Mukaigawa, S. Narasimhan, "Programmable Non-Epipolar Indirect Light Transport: Capture and Analysis," in IEEE Transactions on Visualization and Computer Graphics, Nov 2019

A. Reed, I. Gerg, J. McKay, D. Brown, D. Williams, S. Jayasuriya, "Coupling Rendering and Generative Adversarial Networks for Artificial SAS Image Generation," in MTS/IEEE Oceans, Oct 2019

S. Chandran, S. Jayasuriya, "Adaptive Lighting for Data-Driven Non-Line-of-Sight 3D Localization and Object Identification" in British Machine Vision Conference (BMVC), Aug 2019

T. Ueda, H. Kubo, S. Jayasuriya, T. Funatomi, Y. Mukaigawa, "Slope Disparity Gating using a Synchronized Projector-Camera System," in International Conference on Computational Photography (ICCP), May 2019 (Best demo award)

M. Buckler, P. Bedoukian, S. Jayasuriya, A. Sampson, "EVA^2: Exploiting Temporal Redundancy in Live Computer Vision", in International Symposium on Computer Architecture (ISCA), June 2018.

Mark Buckler, Suren Jayasuriya, and Adrian Sampson, Reconfiguring the Imaging Pipeline for Computer Vision, International Conference on Computer Vision (ICCV) 2017

H. Chen, S. Jayasuriya, J. Yang, J. Stephen, S. Sivaramakrishnan, A. Veeraraghavan, A. Molnar, “ASP Vision: Optically Computing the First Layer of Convolutional Neural Networks using Angle Sensitive Pixels”, in Computer Vision and Pattern Recognition (CVPR), June 2016. (oral presentation, < 4% acceptance rate)

M. Hirsch, S. Sivaramakrishnan, S. Jayasuriya, A. Wang, A. Molnar, R. Raskar, G. Wetzstein, “A Switchable Light Field Camera Architecture using Angle Sensitive Pixels and Dictionary-based Sparse Coding”, in IEEE International Conference on Computational Photography (ICCP), May 2014. (Best paper award)