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

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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, Data  

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

Associate Chair for the ACM CSCW posters cycle, 2023

Reviewer for IEEE Visualization Conference (VIS), 2023

Reviewer for IEEE Computer Graphics and Applications (CG&A), 2023

Reviewer for IEEE Computer Vision and Pattern Recognition (CVPR), 2023

Reviewer for The China Visualization and Visual Analytics Conference (ChinaVis), 2023

Reviewer for Remote Sensing, 2022