Suren Jayasuriya

Asst Professor

Assistant Professor, Science and the Imagination, Center for (CSI)
Asst Professor, Arts, Media and Engineering, School of
Assistant Professor, IAFSE-ECEE: Electrical Engineering
Assistant Professor, Sensor, Signal and Information Processing Center (SenSIP)

55 Citations
5 h-Index

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Computer vision Engineering & Materials Science

Neural networks Engineering & Materials Science

Hardware Engineering & Materials Science

Imaging techniques Engineering & Materials Science

Camera Mathematics

Sparse Coding Mathematics

Cameras Engineering & Materials Science

Binoculars Engineering & Materials Science

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Research Output 2012 2018

55 Citations
5 h-Index
10 Conference contribution
3 Article

Acquiring and characterizing plane-to-ray indirect light transport

Kubo, H., Jayasuriya, S., Iwaguchi, T., Funatomi, T., Mukaigawa, Y. & Narasimhan, S. G., May 29 2018, IEEE International Conference on Computational Photography, ICCP 2018. Institute of Electrical and Electronics Engineers Inc., p. 1-10 10 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Half line

rays

Camera

Scattering

Projector

1 Citations

EVA²: Exploiting temporal redundancy in live computer vision

Buckler, M., Bedoukian, P., Jayasuriya, S. & Sampson, A., Jul 19 2018, Proceedings - 2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture, ISCA 2018. Institute of Electrical and Electronics Engineers Inc., p. 533-546 14 p. 8416853

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Computer vision

Redundancy

Neural networks

Chemical activation

Hardware

2 Citations

Compressive Light Field Reconstructions Using Deep Learning

Gupta, M., Jauhari, A., Kulkarni, K., Jayasuriya, S., Molnar, A. & Turaga, P., Aug 22 2017, Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017. IEEE Computer Society, Vol. 2017-July. p. 1277-1286 10 p. 8014902

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Cameras

Deep learning

Sampling

Sensor arrays

Glossaries

Experiences using a novel Python-based hardware modeling framework for computer architecture test chips.

Torng, C., Wang, M., Sudheendra, B., Murali, N., Jayasuriya, S., Srinath, S., Pritchard, T., Ying, R. & Batten, C., May 30 2017, 2016 IEEE Hot Chips 28 Symposium, HCS 2016. Institute of Electrical and Electronics Engineers Inc., 7936233

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Computer architecture

Computer hardware

Hardware

Computer simulation

Transistors

6 Citations

Reconfiguring the Imaging Pipeline for Computer Vision

Buckler, M., Jayasuriya, S. & Sampson, A., Dec 22 2017, Proceedings - 2017 IEEE International Conference on Computer Vision, ICCV 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2017-October. p. 975-984 10 p. 8237373

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Computer vision

Pipelines

Imaging techniques

Signal processing

Photography