Dasith de Silva Edirimuni


I was formally trained as a physicist with a Master of Science degree from the University of Melbourne and a Bachelor of Science in Physics with minors in Mathematics and Computer Science from Hardin-Simmons University, Abilene, TX. In 2020, I completed a Master of Information Technology from Swinburne University, Melbourne and I am currently working towards a PhD in Information Technology at Deakin University, Geelong.

My PhD work is on computer vision. More specifically, I work on applications of deep learning to point cloud processing but I am also interested in the intersection between language and vision. In another time, and another life, I looked at physical problems in complex systems.


Feb 27, 2024 Our paper was accepted to CVPR 2024!
Mar 26, 2023 Our paper was accepted to the IEEE TVCG journal!
Feb 27, 2023 Our paper was accepted to CVPR 2023!
Mar 9, 2022 Our paper was 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 Our paper was accepted to the Soft Matter journal.

Recent publications

  1. iterativepfn_before.png
    Dasith de Silva EdirimuniXuequan LuZhiwen ShaoGang LiAntonio Robles-Kelly, and Ying He
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2023
  2. joint_learning_before.png
    Dasith de Silva Edirimuni, Xuequan LuGang Li, and Antonio Robles-Kelly
    IEEE Transactions on Visualization and Computer Graphics, Jun 2023
  3. triplet_normal_before.png
    Weijia Wang, Xuequan LuDasith de Silva EdirimuniXiao Liu, and Antonio Robles-Kelly
    In 2022 IEEE International Conference on Multimedia and Expo (ICME), Jun 2022
  4. lamellar_before.png
    Ruben ZakineDasith de Silva EdirimuniDoru Constantin, Paolo Galatola, and Jean-Baptiste Fournier
    Soft Matter, Jun 2019