Dasith de Silva Edirimuni
I was formally trained as a physicist with a Master of Science degree from the University of Melbourne (2017) and a Bachelor of Science in Physics with minors in Mathematics and Computer Science (2013) from Hardin-Simmons University, Abilene, TX. I also completed a Master of Information Technology from Swinburne University, Melbourne in 2020. Most recently, I submitted my PhD thesis, focused on the use of neural encoder-decoder models for point cloud filtering/denoising, to Deakin University, Geelong. Shortly thereafter, I was appointed as a Research Fellow at the University of Western Australia in the group of Prof. Ajmal Mian.
My PhD work is on computer vision. More specifically, I work on applications of deep learning to point cloud processing, analysis and generation. I am also interested in the intersection between language and vision.
UPDATE: Currently I am looking to supervise students interested in computer vision problems. Pre-requisites for scholarship applications include outstanding grades in your current Honours or Masters programs. Previous research outputs are also highly valued. Broadly speaking, potential projects will involve applying a variety of modelling approaches for transport problems (such as diffusion, normalizing flows etc.) for 3D generation. Other research avenues include blue-sky research applying 3D representation learning to other physical problems and/or developing new representation learning techniques. Please feel free to reach out to me by email (button at top left corner).
News
Aug 26, 2024 | Submitted my PhD thesis to Deakin University! PhDone!. |
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Aug 19, 2024 | Started my appointment at UWA as a Research Fellow focused on 3D computer vision. |
Jul 1, 2024 | SemReg: Semantics Constrained Point Cloud Registration paper accepted to ECCV 2024! |
Feb 27, 2024 | StraightPCF: Straight Point Cloud Filtering paper accepted to CVPR 2024! |
Mar 26, 2023 | Contrastive Learning for Joint Normal Estimation and Point Cloud Filtering paper accepted to the IEEE TVCG journal! |
Feb 27, 2023 | IterativePFN: True Iterative Point Cloud Filtering paper accepted to CVPR 2023! |
Mar 9, 2022 | Deep Point Cloud Normal Estimation Via Triplet Learning paper accepted to ICME, 2022! |
Mar 3, 2021 | Awarded the University Medal for most outstanding postgraduate student among Swinburne’s 2020 graduating cohort. |
Dec 14, 2020 | Graduated from Swinburne University with a Master of Information Technology. |
Apr 26, 2019 | Interaction and structuration of membrane-binding and membrane-excluding colloidal particles in lamellar phases paper accepted to the Soft Matter journal. |
Recent publications
- In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2024
- In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2023
- IEEE Transactions on Visualization and Computer Graphics, Jun 2024
- In 2022 IEEE International Conference on Multimedia and Expo (ICME), Jun 2022