Akila de Silva
About Me
I am a PhD Candidate at UC Santa Cruz.
I am advised by professor Alex Pang and co-advised by professor James Davis
email : akila.desilva@ucsc.edu
Selected Publications
RipViz: Finding Rip Currents by Learning Pathline Behavior.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2023: Published Paper, Supp. Materials
Acceptance rate : ~18-24%
Akila de Silva, Mona Zhao, Donald Stewart, Fahim Hasan Khan, Gregory Dusek, James Davis, Alex Pang
How much does input data type impact final face model accuracy?
IEEE Computer Vision and Pattern Recognition (CVPR), 2022: Published Article
Acceptance rate : 25.33%
Jiahao Luo, Fahim Khan, Issei Mori, Akila de Silva, Eric Sandoval Ruezga, Minghao Liu, Alex Pang, James Davis
Flow-based Rip Current Detection and Visualization.
IEEE Access, 2022: Published Article
Acceptance rate : 30%
Issei Mori, Akila de Silva, Gregory Dusek, James Davis, Alex Pang
Rip Current Detection from Region Based Convolutional Neural Networks.
Coastal Engineering, 2021: Video, Preprint, Published Journal Article
Acceptance rate : 27%
Akila de Silva, Issei Mori, Gregory Dusek, James Davis, Alex Pang
Authoring Platform for Mobile Citizen Science Apps with Client-side ML
CSCW Poster, 2021 : Poster, Published Paper
Fahim Hasan Khan, Akila de Silva, Gregory Dusek, James Davis, Alex Pang
Face Models: How Good Does My Data Need To Be?.
IEEE International Conference on Image Processing (ICIP), 2021: Published Paper
Acceptance rate : 46%
Jiahao Luo, Fahim Hasan Khan, Issei Mori, Akila de Silva, Eric Sandoval Ruezga, James Davis
From Lifeguards to AI: Advancing Rip Current Forecasting Through New Detection Methods.
Ocean Sciences Meeting, 2020: Poster link, Poster
Gregory Dusek, Michael Churma, Jung-Sun Im, Alex Pang, Akila de Silva, Issei Mori
Sequential Image Synthesis for Human Activity Video Generation.
International Conference on Image Analysis and Recognition, 2019: Published Paper
Acceptance rate : 59%
Fahim Hasan Khan*, Akila de Silva*, Jayanth Yetukuri*, Narges Norouzi*
* equal contribution
Manuscripts in preperation/review
Learning flow patterns from pathlines
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2023
Visualizing Uncertainty for ML based Flow vis.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2023
Service
Reviewer for IEEE Computer Graphics and Applications (CG&A), 2023
Reviewer for IEEE Computer Vision and Pattern Recognition (CVPR), 2023
Reviewer for Remote Sensing, 2022