Publications
Please see publications listed below in reverse chronological order. At the bottom of the page are theses and dissertations presented in the lab, as well as some supplemental writings and materials for faculty and fellowship applications.
*Note: Papers have been compressed for file size, and some images may contain artifacts. Please refer to IEEE Xplore, ACM Digital Library, and other official venues for the highest quality publications, or please contact Dr. Jayasuriya for a higher resolution copy.
Current Preprints
Dehao Qin, Ripon Saha, Suren Jayasuriya, Jinwei Ye, Nianyi Li, Unsupervised Region-Growing Network for Object Segmentation in Atmospheric Turbulence, [Arxiv preprint]
Shenbagaraj Kannapiran, Sreenithy Chandran, Suren Jayasuriya, Spring Berman, PathFinder: Attention-driven Dynamic Non-Line-of-Sight Tracking with a Mobile Robot, [Arxiv preprint]
Ziyuan Qu , Omkar Vengurlekar , Mohamad Qadri , Kevin Zhang , Michael Kaess , Christopher Metzler , Suren Jayasuriya , and Adithya Pediredla, Z-Splat: Z-Axis Gaussian Splatting for Camera-Sonar Fusion, [Arxiv preprint]
2024
Terri Kurz, Suren Jayasuriya, Kimberlee Swisher, John Mativo, Ramana Pidaparti, Dawn Robinson, The Impact of Teachable Machine on Middle School Teachers’ Perceptions of Science Lessons after Professional Development, Education Sciences (Special Issue on Digital Learning: Exploring the Use of Educational Technology in Educational Environments), 2024 [pdf]
Ripon Saha, Dehao Qin, Nianyi Li, Jinwei Ye, and Suren Jayasuriya, Turb-Seg-Res: A Segment-then-Restore Pipeline for Dynamic Videos with Atmospheric Turbulence, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024 (to appear)
Sreenithy Chandran, Tatsuya Yatagawa, Hiroyuki Kubo, Suren Jayasuriya. Learning-based Spotlight Position Optimization for Non-Line-of-Sight Human Localization and Posture Classification, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024 [pdf] [supplemental material] [video]
Suren Jayasuriya, Kimberlee Swisher, Joshua Rego, Sreenithy Chandran, John Mativo, Terri Kurz, Cerenity Collins, Dawn Robinson, Ramana Pidaparti, ImageSTEAM: Teacher Professional Development for Integrating Visual Computing into Middle School Lessons, The 14th Symposium on Educational Advances in Artificial Intelligence (EAAI-24) 2024 [pdf] [presentation slides]
2023
Lein de Leon Yong and Suren Jayasuriya. Automated Saliency Prediction in Cinema Studies: Using AI to Map Early Cinema's Use of Visual Saliency. Projections 17.3 (2023): 43-63. [pdf]
Jianwei Zhang, Suren Jayasuriya, Visar Berisha. Learning Repeatable Speech Embeddings Using An Intra-class Correlation Regularizer, Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023 [pdf] [code] [arXiv]
Terri Kurz, Feyza Kurban, Suren Jayasuriya, Kimberlee Swisher, "Middle School Mathematics Lessons Emphasizing Art and Modeling using Visual Computing" in What preK-12 teachers should know about educational technology in 2023: A research-to-practice anthology, Eds: R. Ferdig, R. Hartshorne, E. Baumgartner, R. Kaplan-Rakowski, C. Mouza, Association for the Advancement of Computing in Education, 2023 [book chapter] [full book]
Ed Finn and Suren Jayasuriya, "Cultural Myths and Narratives about Artificial Intelligence" in Reporting on artificial intelligence: a handbook for journalism educators, Editor: Dr. Maarit Jaakkola, UNESCO Series on Journalism Education, 2023 [book chapter] [full book]
Suren Jayasuriya, "The Tricky Business of Computing Ethical Values", Slate Magazine, 2023
Albert Reed, Juhyeon Kim, Thomas Blanford, Adithya Pediredla, Daniel C. Brown, Suren Jayasuriya, Neural Volumetric Reconstruction for Coherent Synthetic Aperture Sonar, ACM Transactions on Graphics (Proceedings of SIGGRAPH) 2023 [website] [pdf] [code+data] [presentation video]
Suren Jayasuriya, Odrika Iqbal, Venkatesh Kodukula, Victor Torres, Robert LiKamWa, Andreas Spanias, Software-Defined Imaging: A Survey, Proceedings of the IEEE 2023 [pdf] [tinyML 2020 talk on SDI] (Featured on the cover page of the magazine in May 2023)
Sameeksha Katoch*, Odrika Iqbal*, Andreas Spanias, Suren Jayasuriya, Energy-Efficient Object Tracking using Adaptive ROI Subsampling and Deep Reinforcement Learning, IEEE Access 2023 [pdf] (* = joint first authors)
Gregory Vetaw, Benjamin Cowen, Daniel C. Brown, David P. Williams, Suren Jayasuriya, Learning-based Tone Mapping to Improve 3D SAS ATR, International Geoscience and Remote Sensing Symposium (IGARSS) 2023 [pdf]
Kimberlee Swisher, Terri Kurz, Suren Jayasuriya, J. Covert, John Mativo, Ramana Pidaparti, Dawn Robinson, Middle School Teachers' Perceptions of Computer Vision. In Elizabeth Langran (Ed.) Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 1824-`829). New Orleans, LA, United States: Association for the Advancement of Computing in Education (AACE). [pdf]
Jianwei Zhang, Julie Liss, Suren Jayasuriya, Visar Berisha, Robust Vocal Quality Feature Embeddings for Dysphonic Voice Detection, IEEE Transactions on Audio, Speech and Language Processing, 2023 [pdf] [code]
Terri Kurz, Suren Jayasuriya, Kimberlee Swisher, John Mativo, Ramana Pidaparti, & Dawn Robinson. Investigating Changes in Teachers’ Perceptions about Artificial Intelligence after Virtual Professional Development. Journal of Interactive Learning Research, 33(4), 225-241, 2023 [pdf]
Xiaomeng Liu, Joshua Rego, Suren Jayasuriya, Sanjeev Koppal, Event-based Dual Photography for Transparent Scene Reconstruction, Optics Letters 2023 [pdf] [video]
Albert Reed, Thomas Blanford, Daniel Brown, Suren Jayasuriya, SINR: Deconvolving Circular SAS Images Using Implicit Neural Representations, IEEE Journal of Selected Topics in Signal Processing (special issue) 2023 [pdf] [Code] [official IEEE Xplore copy]
2022
Ripon Saha, Esen Salcin, Jihoo Kim, Joseph Smith, Suren Jayasuriya, Turbulence Strength Cn2 Estimation from Video using Physics-based Deep Learning, Optics Express 2022 [pdf] [code] [dataset]
Odrika Iqbal, Victor Torres, Sameeksha Katoch, Andreas Spanias, Suren Jayasuriya, Adaptive Subsampling for ROI-based Visual Tracking: Algorithms and FPGA Implementation, IEEE Access 2022 [pdf]
Md Farhan Tasnim Oshim, Toral Surti, Charlotte Goldfine, Stephanie Carreiro, Deepak Ganesan, Suren Jayasuriya, Tauhidur Rahman, Eulerian Phase-based Motion Magnification for High Fidelity Vital Sign Estimation with Radar in Clinical Settings, IEEE Sensors Conference 2022 [pdf] [Sensors presentation]
Jianwei Zhang, Hao Ren, Suren Jayasuriya, Xiaojun Tian, Junseok Chae, The Biological Memory Effect in Microbial Fuel Cell Biosensors, IEEE Sensors Journal 2022 [pdf]
Joshua Rego, Huaijin Chen, Shuai Li, Jinwei Gu, Suren Jayasuriya, Deep Camera Obscura: An Image Restoration Pipeline for Lensless Pinhole Photography, Optics Express 2022 [pdf] [code+dataset]
Karthik K Kulkarni, Florian A Schneider, Tejaswi Gowda, Suren Jayasuriya, Ariane Middel, MaRTiny-A Low-Cost Bio-meteorological Sensing Device with Embedded Computer Vision for Urban Climate Research, Frontiers in Environmental Science (special topic on Urban Climate Informatics) 2022 [pdf]
Sreenithy Chandran, Hiroyuki Kubo, Tomoki Ueda, Takuya Funatomi, Yasuhiro Mukaigawa, Suren Jayasuriya, Slope Disparity Gating: Systems and Applications, IEEE Transactions on Computational Imaging 2022 [pdf] [video][code]
Sreenithy Chandran, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Zhixin Shu, Suren Jayasuriya, Temporally Consistent Relighting for Portrait Videos, Workshop on Applications of Computational Imaging co-located with WACV 2022 [pdf]
2021
Terri Kurz, Suren Jayasuriya, Joshua Rego, Kelly Jackson, Kimberlee Swisher, John Mativo, Ramana Pidaparti, Dawn Robinson, Cerenity Collins (2021). Changes in Middle School Teachers’ Thinking after Engaging in Professional Development Emphasizing Computer Vision. In E. Langran & D. Rutledge (Eds.), Proceedings of SITE Interactive Conference (pp. 313-317). Online, United States: Association for the Advancement of Computing in Education (AACE). [pdf]
Albert Reed, Thomas E. Blanford, Daniel C. Brown, Suren Jayasuriya, Implicit Neural Representations for Deconvolving SAS Images, MTS/IEEE Oceans 2021 [pdf]
Gregory Vetaw, Albert Reed, Daniel C. Brown, Suren Jayasuriya, A 3D GAN Architecture for Volumetric Synthetic Aperture Sonar, MTS/IEEE Oceans 2021 [pdf]
Albert Reed, Hyojin Kim, Rushil Anirudh, K. Aditya Mohan, Kyle Champley, Jingu Kang, Suren Jayasuriya, Dynamic CT Reconstruction from Limited Views with Implicit Neural Representations and Parametric Motion Fields, IEEE International Conference on Computer Vision (ICCV) 2021 [pdf] [supplemental pdf]
Nianyi Li, Simron Thapa, Cameron Whyte, Albert Reed, Suren Jayasuriya, Jinwei Ye, Unsupervised Non-Rigid Image Distortion Removal via Grid Deformation, IEEE International Conference on Computer Vision (ICCV) 2021 [pdf] [supplemental pdf] [video] [code]
Tsuji Mayuka, Hiroyuki Kubo, Suren Jayasuriya, Takuya Funatomi, Yasuhiro Mukaigawa, Touch Sensing for a Projected Screen Using Slope Disparity Gating, IEEE Access 2021 [pdf]
Catherine Chong, Jianwei Zhang, Jing Li, Teresa Wu, Gina Dumkrieger, Simona Nikolova, Katherine Ross, Gabriela Stegmann, Julie Liss, Todd J Schwedt, Suren Jayasuriya. Visar Berisha, Altered Speech Patterns in Subjects with Post-Traumatic Headache due to Mild Traumatic Brain Injury, The Journal of Headache and Pain 2021 [pdf]
Dominique Dredd, Nadia Kellam, Suren Jayasuriya, Zen and the Art of STEAM: Student Knowledge and Experiences in Interdisciplinary and Traditional Engineering Capstone Experiences, IEEE Frontiers in Education (FIE) 2021 [pdf]
Madeleine Jennings, Jorge Sandoval, Jeanne Sanders, Mirka Koro, Nadia Kellam, Suren Jayasuriya, WIP: Use of AI-Generated Visual Media in Interviews to Understand Power Differentials in Gender, Romantic, and Sexual Minority (GRSM) Students, IEEE Frontiers in Education (FIE) 2021 [pdf]
Jianwei Zhang, Suren Jayasuriya, Visar Berisha, Restoring degraded speech via a modified diffusion model, INTERSPEECH 2021 [pdf]
Xiaomeng Liu, Kristofer Henderson, Joshua Rego, Suren Jayasuriya, Sanjeev Koppal, Dense Lissajous Sampling and Interpolation for Dynamic Light-Transport, Optics Express 2021 [pdf] [video] [supplemental appendix]
Suren Jayasuriya, "Computational Imaging for Human Activity Analysis", In Contactless Human Activity Analysis, 1st Edition, Eds. Md Atiqur Rahman Ahad, Upal Mahbub, Tauhidur Rahman, Springer, 2021 [pdf]
Joshua Cruz, Noa Bruhis, Nadia Kellam, Suren Jayasuriya, Students’ Implicit Epistemologies when Working at the Intersection of Engineering and the Arts, International Journal of STEM Education 2021 [pdf]
Hiroyuki Kubo, Suren Jayasuriya, Takafumi Iwaguchi, Takuya Funatomi, Yasuhiro Mukaigawa, Srinivasa Narasimhan, Programmable Non-Epipolar Indirect Light Transport: Capture and Analysis, IEEE Transactions on Visualization and Computer Graphics (TVCG) 2021 [pdf] [website], (hardware prototype exhibited at CES 2020)
Joshua Rego, Karthik Kulkarni, Suren Jayasuriya, Robust Lensless Image Reconstruction via PSF Estimation, Winter Conference on Applications of Computer Vision (WACV) 2021 [pdf] [supplement] [Github code] [WACV 5 min video]
2020
Ravi Bhushan*, Karthik Kulkarni*, Vishal Pandey*, Connor Rawls, Brandon Mechtley, Suren Jayasuriya, Christian Ziegler, "ODO: Design of Multimodal Chatbot for an Experiential Media System", Multimodal Technologies and Interaction 2020 [pdf] (* = shared first authorship)
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 [pdf + supplement] [Github code] [Video Poster]
Malena Espanol, Suren Jayasuriya, Mohit Malu, Multilevel Methods for Imaging Applications, OSA Imaging and Applied Optics Congress 2020 (invited abstract/talk) [pdf]
C. Ziegler et al., No Body lives here (ODO), Performance, Exhibition at Artificial Empathy Symposium, Center for Art and Media ZKM Karlsruhe, September 2020 [Project Page] [video] [ZKM Website]
Odrika Iqbal, Saquib Siddiqui, Joshua Martin, Sameeksha Katoch, Andreas Spanias, Daniel Bliss, Suren Jayasuriya, Design and FPGA Implementation of an Adaptive Video Subsampling Algorithm for Energy-Efficient Single Object Tracking, IEEE International Conference on Image Processing (ICIP) 2020 [pdf]
Olivia Christie, Joshua Rego, Suren Jayasuriya, Analyzing Sensor Quantization of RAW Images for Visual SLAM, IEEE International Conference on Image Processing (ICIP) 2020 [pdf]
Suren Jayasuriya, "Image Sensors", In Computer Vision: A Reference Guide, 2nd Edition, Editor-in-Chief: Katsushi Ikeuchi, Springer 2020 [pdf]
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 [pdf] [video presentation] (Finalist for the Best Diversity, Equity & Inclusion Paper Award)
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 [pdf] [Video poster]
2019
Divya Mohan, Sameeksha Katoch, Suren Jayasuriya, Pavan Turaga, Andreas Spanias, Adaptive Video Subsampling for Energy-Efficient Object Detection, 53nd Asilomar Conference on Signals, Systems and Computers 2019 [pdf]
Albert Reed, Isaac Gerg, John D. McKay, Daniel C. Brown, David P. Williams, Suren Jayasuriya, Coupling Rendering and Generative Adversarial Networks for Artificial SAS Image Generation, MTS/IEEE Oceans 2019 [pdf]
Sreenithy Chandran and Suren Jayasuriya, Adaptive Lighting for Data-Driven Non-Line-of-Sight 3D Localization and Object Identification, British Machine Vision Conference (BMVC) 2019 (spotlight presentation) [website] [pdf]
Divya Mohan, Sameeksha Katoch, Suren Jayasuriya, Pavan Turaga, Andreas Spanias, An REU Experience in Machine Learning and Computational Cameras, IEEE Frontiers in Education (FIE) 2019
Henry Braun, Pavan Turaga, Andreas Spanias, Sameeksha Katoch, Suren Jayasuriya, Cihan Tepedelenlioglu, Reconstruction-Free Compressive Vision for Surveillance Applications, Synthesis Lectures on Signal Processing, Morgan Claypool, 2019 [pdf]
Joshua Cruz, Noa Bruhis, Nadia Kellam, Suren Jayasuriya, WIP: Epistemologies and Discourse Analysis for Transdisciplinary Capstone Projects in a Digital Media Program, American Society for Engineering Education (ASEE) Annual Conference, 2019 [pdf]
Rajhans Singh, Pavan Turaga, Suren Jayasuriya, Ravi Garg, Martin Braun, Non-Parametric Priors For Generative Adversarial Networks, International Conference on Machine Learning (ICML) 2019 [pdf]
Tomoki Ueda, Hiroyuki Kubo, Suren Jayasuriya, Takuya Funatomi, Yasuhiro Mukaigawa, Slope Disparity Gating using a Synchronized Projector-Camera System, International Conference on Computational Photography (ICCP) 2019 (received the Best Demo Award at ICCP 2019) [pdf] [ICCP presentation with live demo]
2018
Li-Chi Huang, Kuldeep Kulkarni, Anik Jha, Suhas Lohit, Suren Jayasuriya, Pavan Turaga, CS-VQA: Visual Question Answering with Compressively Sensed Images, International Conference on Image Processing (ICIP) 2018
Mark Buckler, Philip Bedoukian, Suren Jayasuriya, Adrian Sampson, EVA2: Exploiting Temporal Redundancy for Live Computer Vision, International Symposium on Computer Architecture (ISCA'18) [pdf] [ISCA presentation] [2 min lightning talk]
Hiroyuki Kubo, Suren Jayasuriya, Takafumi Iwaguchi, Takuya Funatomi, Yasuhiro Mukaigawa, Srinivasa Narasimhan, Acquiring and Characterizing Plane-to-Ray Indirect Light Transport, International Conference on Computational Photography (ICCP) 2018 [pdf] [ICCP Presentation and live demo] (received the Best Demo Award at 21st Meeting on Image Recognition and Understanding (MIRU) 2018 & the best presentation award at Information Processing Society of Japan (IPSJ) SIG-CG in 2018)
Before 2018
Suren Jayasuriya, Plenoptic Imaging and Vision using Angle Sensitive Pixels, PhD Thesis, 2017
Mark Buckler, Suren Jayasuriya, and Adrian Sampson, Reconfiguring the Imaging Pipeline for Computer Vision, International Conference on Computer Vision (ICCV) 2017
Mayank Gupta*, Arjun Jauhari*, Kuldeep Kulkarni, Suren Jayasuriya, Alyosha Molnar, and Pavan Turaga, Compressive Light Field Reconstructions using Deep Learning, CVPR Workshop on Computational Cameras and Displays (CCD) 2017 (* = shared first authorship)
Suren Jayasuriya, Orazio Gallo, Jinwei Gu, Timo Aila, and Jan Kautz, Reconstructing Intensity Images from Binary Spatial Gradient Cameras, CVPR Workshop on Embedded Vision (EVW) 2017
Christopher Torng, Moyang Wang, Bharath Sudheendra, Nagaraj Murali, Suren Jayasuriya, Shreesha Srinath, Taylor Pritchard, Robin Ying, and Christopher Batten, Experiences using a Novel Python-Based Hardware Modeling Framework for Computer Architecture Test Chips, 28th ACM/IEEE Symp. on High-Performance Chips (HOTCHIPS'16) Student Poster Session (Technical Abstract) 2016
Huaijin Chen*, Suren Jayasuriya*, Jiyue Yang, Judy Stephen, Sriram Sivaramakrishnan, Ashok Veeraraghavan, Alyosha Molnar, ASP Vision: Optically Computing the First Layer of CNNs using Angle Sensitive Pixels, IEEE Computer Vision and Pattern Recognition (CVPR) 2016 [pdf] [code] [CVPR presentation recording] (oral presentation, < 4% acceptance) (* = shared first authorship)
Jagpreet Chhatwal*, Suren Jayasuriya*, Elamin Elbasha, Changing Cycle Lengths in State-Transition Models: Challenges and Solutions, Medical Decision Making, 2016 (* = shared first authorship)
Suren Jayasuriya, Adithya Pediredla, Sriram Sivaramakrishnan, Alyosha Molnar, Ashok Veeraraghavan, Depth Fields: Extending Light Field Techniques to Time-of-Flight Imaging, International Conference on 3D Vision (3DV), 2015 (oral presentation) [code]
Suren Jayasuriya, Sriram Sivaramakrishnan, Ellen Chuang, Debashree Guruaribam, Albert Wang, Alyosha Molnar, Dual Light Field and Polarization Imaging using Diffractive CMOS Image Sensors, Optics Letters, 2015
Jagpreet Chhatwal, Suren Jayasuriya, Elamin Elbasha, Changing Cycle Lengths in State-Transition Models: Doing it the Right Way, International Society for Pharmacoeconomics and Outcomes Research, 2015 (invited paper)
Suren Jayasuriya*, Dong Yang*, Alyosha Molnar, A Baseband Technique for Automated LO Suppression Achieving less than -80dBm in Wideband Passive Mixer-first Receivers, IEEE Custom Integrated Circuits Conference (CICC), 2014 (*=shared first authorship)
Matthew Hirsch*, Sriram Sivaramakrishnan*, Suren Jayasuriya*, Albert Wang, Alyosha Molnar, Ramesh Raskar, Gordon Wetzstein, A Switchable Light Field Camera Architecture using Angle Sensitive Pixels and Dictionary-based Sparse Coding, IEEE International Conference on Computational Photography (ICCP), 2014 (received the Best Paper Award at ICCP 2014) (*=shared first authorship)
Suren Jayasuriya, Steven Reich, Jeffrey Paul Wheeler, On the Inverse Erdos-Heilbronn Problem for Restricted Set Addition in Finite Groups, ArXiv, 2012
Suren Jayasuriya, Zachary Kilpatrick, Effects of Time-Dependent Stimuli in a Competitive Neural Network Model of Perceptual Rivalry, Bulletin of Mathematical Biology, 2012
* = shared first authorship
Theme: Light Transport, Computational Cameras, and Physics-based Computer Vision
Sreenithy Chandran, Tatsuya Yatagawa, Hiroyuki Kubo, Suren Jayasuriya. Learning-based Spotlight Position Optimization for Non-Line-of-Sight Human Localization and Posture Classification, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024 [pdf] [supplemental material] [video]
Xiaomeng Liu, Joshua Rego, Suren Jayasuriya, Sanjeev Koppal, Event-based Dual Photography for Transparent Scene Reconstruction, Optics Letters 2023 [pdf] [video]
Ripon Saha, Esen Salcin, Jihoo Kim, Joseph Smith, Suren Jayasuriya, Turbulence Strength Cn2 Estimation from Video using Physics-based Deep Learning, Optics Express 2022 [pdf] [code] [dataset]
Joshua Rego, Huaijin Chen, Shuai Li, Jinwei Gu, Suren Jayasuriya, Deep Camera Obscura: An Image Restoration Pipeline for Lensless Pinhole Photography, Optics Express 2022 [pdf] [code+dataset]
Sreenithy Chandran, Hiroyuki Kubo, Tomoki Ueda, Takuya Funatomi, Yasuhiro Mukaigawa, Suren Jayasuriya, Slope Disparity Gating: Systems and Applications, IEEE Transactions on Computational Imaging 2022 [pdf] [video]
Sreenithy Chandran, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Zhixin Shu, Suren Jayasuriya, Temporally Consistent Relighting for Portrait Videos, Workshop on Applications of Computational Imaging co-located with WACV 2022 [pdf]
Nianyi Li, Simron Thapa, Cameron Whyte, Albert Reed, Suren Jayasuriya, Jinwei Ye, Unsupervised Non-Rigid Image Distortion Removal via Grid Deformation, IEEE International Conference on Computer Vision (ICCV) 2021 [pdf] [supplemental pdf] [video] [code]
Tsuji Mayuka, Hiroyuki Kubo, Suren Jayasuriya, Takuya Funatomi, Yasuhiro Mukaigawa, Touch Sensing for a Projected Screen Using Slope Disparity Gating, IEEE Access 2021 [pdf]
Xiaomeng Liu, Kristofer Henderson, Joshua Rego, Suren Jayasuriya, Sanjeev Koppal, Dense Lissajous Sampling and Interpolation for Dynamic Light-Transport, Optics Express 2021 [pdf] [video] [supplemental appendix]
Hiroyuki Kubo, Suren Jayasuriya, Takafumi Iwaguchi, Takuya Funatomi, Yasuhiro Mukaigawa, Srinivasa Narasimhan, Programmable Non-Epipolar Indirect Light Transport: Capture and Analysis, IEEE Transactions on Visualization and Computer Graphics (TVCG) 2021 [pdf] [website], (hardware prototype exhibited at CES 2020)
Joshua Rego, Karthik Kulkarni, Suren Jayasuriya, Robust Lensless Image Reconstruction via PSF Estimation, Winter Conference on Applications of Computer Vision (WACV) 2021 [pdf] [supplement] [Github code]
Malena Espanol, Suren Jayasuriya, Mohit Malu, Multilevel Methods for Imaging Applications, OSA Imaging and Applied Optics Congress 2020 (invited abstract/talk) [pdf]
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 [pdf]
Sreenithy Chandran and Suren Jayasuriya, Adaptive Lighting for Data-Driven Non-Line-of-Sight 3D Localization and Object Identification, British Machine Vision Conference (BMVC) 2019 (spotlight presentation) [website] [pdf]
Tomoki Ueda, Hiroyuki Kubo, Suren Jayasuriya, Takuya Funatomi, Yasuhiro Mukaigawa, Slope Disparity Gating using a Synchronized Projector-Camera System, International Conference on Computational Photography (ICCP) 2019 (received the Best Demo Award at ICCP 2019) [pdf]
Hiroyuki Kubo, Suren Jayasuriya, Takafumi Iwaguchi, Takuya Funatomi, Yasuhiro Mukaigawa, Srinivasa Narasimhan, Acquiring and Characterizing Plane-to-Ray Indirect Light Transport, International Conference on Computational Photography (ICCP) 2018 (received the Best Demo Award at 21st Meeting on Image Recognition and Understanding (MIRU) 2018 & the best presentation award at Information Processing Society of Japan (IPSJ) SIG-CG in 2018)
Mayank Gupta*, Arjun Jauhari*, Kuldeep Kulkarni, Suren Jayasuriya, Alyosha Molnar, and Pavan Turaga, Compressive Light Field Reconstructions using Deep Learning, CVPR Workshop on Computational Cameras and Displays (CCD) 2017 (* = shared first authorship)
Suren Jayasuriya, Orazio Gallo, Jinwei Gu, Timo Aila, and Jan Kautz, Reconstructing Intensity Images from Binary Spatial Gradient Cameras, CVPR Workshop on Embedded Vision (EVW) 2017
Huaijin Chen*, Suren Jayasuriya*, Jiyue Yang, Judy Stephen, Sriram Sivaramakrishnan, Ashok Veeraraghavan, Alyosha Molnar, ASP Vision: Optically Computing the First Layer of CNNs using Angle Sensitive Pixels, IEEE Computer Vision and Pattern Recognition (CVPR) 2016 [code] (oral presentation, < 4% acceptance) (* = shared first authorship)
Suren Jayasuriya, Adithya Pediredla, Sriram Sivaramakrishnan, Alyosha Molnar, Ashok Veeraraghavan, Depth Fields: Extending Light Field Techniques to Time-of-Flight Imaging, International Conference on 3D Vision (3DV), 2015 (oral presentation) [code]
Suren Jayasuriya, Sriram Sivaramakrishnan, Ellen Chuang, Debashree Guruaribam, Albert Wang, Alyosha Molnar, Dual Light Field and Polarization Imaging using Diffractive CMOS Image Sensors, Optics Letters, 2015
Matthew Hirsch*, Sriram Sivaramakrishnan*, Suren Jayasuriya*, Albert Wang, Alyosha Molnar, Ramesh Raskar, Gordon Wetzstein, A Switchable Light Field Camera Architecture using Angle Sensitive Pixels and Dictionary-based Sparse Coding, IEEE International Conference on Computational Photography (ICCP), 2014 (received the Best Paper Award at ICCP 2014) (*=shared first authorship)
Theme: Remote Sensing and Tomographic Imaging
Albert Reed, Juhyeon Kim, Thomas Blanford, Adithya Pediredla, Daniel C. Brown, Suren Jayasuriya, Neural Volumetric Reconstruction for Coherent Synthetic Aperture Sonar, ACM Transactions on Graphics (Proceedings of SIGGRAPH) 2023 [website] [pdf] [code+data] [presentation video]
Gregory Vetaw, Benjamin Cowen, Daniel C. Brown, David P. Williams, Suren Jayasuriya, Learning-based Tone Mapping to Improve 3D SAS ATR, International Geoscience and Remote Sensing Symposium (IGARSS) 2023 [pdf]
Albert Reed, Thomas Blanford, Daniel Brown, Suren Jayasuriya, SINR: Deconvolving Circular SAS Images Using Implicit Neural Representations, IEEE Journal of Selected Topics in Signal Processing (special issue) 2023 [pdf] [Code]
Md Farhan Tasnim Oshim, Toral Surti, Charlotte Goldfine, Stephanie Carreiro, Deepak Ganesan, Suren Jayasuriya, Tauhidur Rahman, Eulerian Phase-based Motion Magnification for High Fidelity Vital Sign Estimation with Radar in Clinical Settings, IEEE Sensors Conference 2022 [pdf]
Albert Reed, Thomas E. Blanford, Daniel C. Brown, Suren Jayasuriya, Implicit Neural Representations for Deconvolving SAS Images, MTS/IEEE Oceans 2021 [pdf]
Gregory Vetaw, Albert Reed, Daniel C. Brown, Suren Jayasuriya, A 3D GAN Architecture for Volumetric Synthetic Aperture Sonar, MTS/IEEE Oceans 2021 [pdf]
Albert Reed, Hyojin Kim, Rushil Anirudh, K. Aditya Mohan, Kyle Champley, Jingu Kang, Suren Jayasuriya, Dynamic CT Reconstruction from Limited Views with Implicit Neural Representations and Parametric Motion Fields, IEEE International Conference on Computer Vision (ICCV) 2021 [pdf] [supplemental pdf]
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 [pdf + supplement] [Github code]
Albert Reed, Isaac Gerg, John D. McKay, Daniel C. Brown, David P. Williams, Suren Jayasuriya, Coupling Rendering and Generative Adversarial Networks for Artificial SAS Image Generation, MTS/IEEE Oceans 2019 [pdf]
Theme: Software-Defined Imaging
Suren Jayasuriya, Odrika Iqbal, Venkatesh Kodukula, Victor Torres, Robert LiKamWa, Andreas Spanias, Software-Defined Imaging: A Survey, Proceedings of the IEEE 2023 [pdf]
Sameeksha Katoch*, Odrika Iqbal*, Andreas Spanias, Suren Jayasuriya, Energy-Efficient Object Tracking using Adaptive ROI Subsampling and Deep Reinforcement Learning, IEEE Access 2023 [pdf] (* = joint first authors)
Odrika Iqbal, Victor Torres, Sameeksha Katoch, Andreas Spanias, Suren Jayasuriya, Adaptive Subsampling for ROI-based Visual Tracking: Algorithms and FPGA Implementation, IEEE Access 2022 [pdf]
Odrika Iqbal, Saquib Siddiqui, Joshua Martin, Sameeksha Katoch, Andreas Spanias, Daniel Bliss, Suren Jayasuriya, Design and FPGA Implementation of an Adaptive Video Subsampling Algorithm for Energy-Efficient Single Object Tracking, IEEE International Conference on Image Processing (ICIP) 2020 [pdf]
Olivia Christie, Joshua Rego, Suren Jayasuriya, Analyzing Sensor Quantization of RAW Images for Visual SLAM, IEEE International Conference on Image Processing (ICIP) 2020 [pdf]
Divya Mohan, Sameeksha Katoch, Suren Jayasuriya, Pavan Turaga, Andreas Spanias, Adaptive Video Subsampling for Energy-Efficient Object Detection, 53nd Asilomar Conference on Signals, Systems and Computers 2019 [pdf]
Henry Braun, Pavan Turaga, Andreas Spanias, Sameeksha Katoch, Suren Jayasuriya, Cihan Tepedelenlioglu, Reconstruction-Free Compressive Vision for Surveillance Applications, Synthesis Lectures on Signal Processing, Morgan Claypool, 2019 [pdf]
Mark Buckler, Philip Bedoukian, Suren Jayasuriya, Adrian Sampson, EVA2: Exploiting Temporal Redundancy for Live Computer Vision, International Symposium on Computer Architecture (ISCA'18) [pdf]
Mark Buckler, Suren Jayasuriya, and Adrian Sampson, Reconfiguring the Imaging Pipeline for Computer Vision, International Conference on Computer Vision (ICCV) 2017
Theme: STEAM Education
Terri Kurz, Suren Jayasuriya, Kimberlee Swisher, John Mativo, Ramana Pidaparti, Dawn Robinson, The Impact of Teachable Machine on Middle School Teachers’ Perceptions of Science Lessons after Professional Development, Education Sciences (Special Issue on Digital Learning: Exploring the Use of Educational Technology in Educational Environments), 2024 [pdf]
Suren Jayasuriya, Kimberlee Swisher, Joshua Rego, Sreenithy Chandran, John Mativo, Terri Kurz, Cerenity Collins, Dawn Robinson, Ramana Pidaparti, ImageSTEAM: Teacher Professional Development for Integrating Visual Computing into Middle School Lessons, The 14th Symposium on Educational Advances in Artificial Intelligence (EAAI-24) 2024 [pdf] [presentation slides]
Terri Kurz, Feyza Kurban, Suren Jayasuriya, Kimberlee Swisher, "Middle School Mathematics Lessons Emphasizing Art and Modeling using Visual Computing" in What preK-12 teachers should know about educational technology in 2023: A research-to-practice anthology, Eds: R. Ferdig, R. Hartshorne, E. Baumgartner, R. Kaplan-Rakowski, C. Mouza, Association for the Advancement of Computing in Education, 2023 [book chapter] [full book]
Kimberlee Swisher, Terri Kurz, Suren Jayasuriya, J. Covert, John Mativo, Ramana Pidaparti, Dawn Robinson, Middle School Teachers' Perceptions of Computer Vision. In Elizabeth Langran (Ed.) Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 1824-`829). New Orleans, LA, United States: Association for the Advancement of Computing in Education (AACE). [pdf]
Terri Kurz, Suren Jayasuriya, Kimberlee Swisher, John Mativo, Ramana Pidaparti, & Dawn Robinson. Investigating Changes in Teachers’ Perceptions about Artificial Intelligence after Virtual Professional Development. Journal of Interactive Learning Research, 33(4), 225-241, 2023 [pdf]
Terri Kurz, Suren Jayasuriya, Joshua Rego, Kelly Jackson, Kimberlee Swisher, John Mativo, Ramana Pidaparti, Dawn Robinson, Cerenity Collins (2021). Changes in Middle School Teachers’ Thinking after Engaging in Professional Development Emphasizing Computer Vision. In E. Langran & D. Rutledge (Eds.), Proceedings of SITE Interactive Conference (pp. 313-317). Online, United States: Association for the Advancement of Computing in Education (AACE). [pdf]
Dominique Dredd, Nadia Kellam, Suren Jayasuriya, Zen and the Art of STEAM: Student Knowledge and Experiences in Interdisciplinary and Traditional Engineering Capstone Experiences, IEEE Frontiers in Education (FIE) 2021 [pdf]
Madeleine Jennings, Jorge Sandoval, Jeanne Sanders, Mirka Koro, Nadia Kellam, Suren Jayasuriya, WIP: Use of AI-Generated Visual Media in Interviews to Understand Power Differentials in Gender, Romantic, and Sexual Minority (GRSM) Students, IEEE Frontiers in Education (FIE) 2021 [pdf]
Joshua Cruz, Noa Bruhis, Nadia Kellam, Suren Jayasuriya, Students’ Implicit Epistemologies when Working at the Intersection of Engineering and the Arts, International Journal of STEM Education 2021 [pdf]
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 [pdf] [video presentation] (Finalist for the Best Diversity, Equity & Inclusion Paper Award)
Divya Mohan, Sameeksha Katoch, Suren Jayasuriya, Pavan Turaga, Andreas Spanias, An REU Experience in Machine Learning and Computational Cameras, IEEE Frontiers in Education (FIE) 2019
Joshua Cruz, Noa Bruhis, Nadia Kellam, Suren Jayasuriya, WIP: Epistemologies and Discourse Analysis for Transdisciplinary Capstone Projects in a Digital Media Program, American Society for Engineering Education (ASEE) Annual Conference, 2019 [pdf]
Patents
Hyojin Kim, Rushil Anirudh, Kyle Champley, Kadri Aditya Mohan, Albert William Reed, Suren Jayasuriya, Reconstruction of dynamic scenes based on differences between collected view and synthesized view, US Patent 11,741,643 B2, 2023 [pdf]
Andreas Spanias, Pavan Turaga, Sameeksha Katoch, Suren Jayasuriya, Divya Mohan, Adaptive video subsampling for energy efficient object detection, US Patent 11,481,881 B2, 2022, [pdf]
Sreenithy Chandran and Suren Jayasuriya, Systems and methods for adaptive lighting for data-driven non-line-of-sight three-dimensional capabilities, US Patent 11,127,159 B2, 2021 [pdf]
Alyosha Molnar, Suren Jayasuriya, Sriram Sivaramakrishnan, Depth Field Imaging Apparatus, Methods, and Applications, US Patent 10,983,216 B2, 2021 [pdf]
Mark Buckler, Adrian Sampson, Suren Jayasuriya, Configurable image processing system and methods for operating a configurable image processing system for multiple applications, US Patent 10,735,675 B2, 2020 [pdf]
Theses and Dissertations
Sreenithy Chandran, Hardware-Software Co-design for Light Transport Acquisition and Adaptive Non-Line-of-Sight Imaging, PhD Thesis, Arizona State University 2024 (Winner of the Joseph and Sandra Palais Outstanding Doctoral Student Award from ECEE)
Madeleine Jennings, Toward an Ethic of Queerness for Engineering Education Research, PhD Thesis (co-advised with Prof. Nadia Kellam), Arizona State University 2023
Odrika Iqbal, Software-Defined Imaging for Embedded Computer Vision: Adaptive Subsampling and Event-based Visual Navigation, PhD Thesis (co-advised with Prof. Andreas Spanias), Arizona State University 2023
Jianwei Zhang, Learning Robust and Repeatable Speech Features for Clinical Applications, PhD Thesis (co-advised by Prof. Visar Berisha), Arizona State University 2023
Albert Reed, Neural Fields for Tomographic Imaging with Applications in X-ray Computed Tomography and Synthetic Aperture Sonar, PhD Thesis, Arizona State University 2023 (Winner of the ASU Fulton School of Engineering Dean's Dissertation Award)
Victor Isaac Torres Muro, Computational Imaging for Energy-Efficient Cameras: Adaptive ROI-based Object Tracking and Optically Defocused Event-based Sensing, Masters Thesis, Arizona State University 2022
Olivia Christie, Towards Energy-efficient Visual Navigation: Sensor Quantization and Event-based Vision Pipelines, Masters Thesis, Arizona State University 2022
Karthik Kulkarni, Machine Learning and Vision Using Edge Devices for Multimodal Chatbots and Bio-meteorological Sensing, Masters Thesis (co-advised by Prof. Ariane Middel), Arizona State University 2021
Cameron Whyte, Characterizing Atmospheric Turbulence and Removing Distortion in Long-range Imaging, Masters Thesis (co-advised by Prof. Malena Espanol), Arizona State University 2021
Joshua Rego, Image Restoration for Non-Traditional Camera Systems, Masters Thesis (co-advised by Prof. Jennifer Blain-Christen), Arizona State University 2020
John Janiczek, Differentiable Programming for Physics-based Hyperspectral Unmixing, Masters Thesis (co-advised by Prof. Gautam Dasarathy), Arizona State University 2020
Sreenithy Chandran, Adaptive Lighting for Data-Driven Non-Line-Of-Sight 3D Localization, Masters Thesis, Arizona State University 2019
Suren Jayasuriya, Plenoptic Imaging and Vision using Angle Sensitive Pixels, PhD Thesis, Cornell University 2017
Miscellaneous (Fellowships, Teaching/Research Statements)
Teaching and Research Statements from my ASU faculty application
My NSF Graduate Research Fellowship (Personal Statement, Prior Research, and Proposal )