no code implementations • 25 Mar 2024 • Dilum Fernando, Dhananjaya Jayasundara, Roshan Godaliyadda, Chaminda Bandara, Parakrama Ekanayake, Vijitha Herath
Thus, we were motivated to utilize the isotropy of the additive noise as a constraint on the objective function to enhance the fidelity of DDPMs.
no code implementations • 4 Oct 2023 • Darsha Udayanga, Ashan Serasinghe, Supun Dassanayake, Roshan Godaliyadda, H. M. V. R. Herath, M. P. B. Ekanayake, H. L. P. Malshan
An innovative merged mode is introduced in which both reflectance and transmittance information of a specimen are combined to form a higher dimensional dataset with more features.
no code implementations • 16 Apr 2022 • Yasiru Ranasinghe, Kavinga Weerasooriya, Roshan Godaliyadda, Vijitha Herath, Parakrama Ekanayake, Dhananjaya Jayasundara, Lakshitha Ramanayake, Neranjan Senarath, Dulantha Wickramasinghe
In the Guided Encoder-Decoder Architecture for Hyperspectral Unmixing with Spatial Smoothness (GAUSS), we proposed using one-hot encoded abundances as the pseudo-ground truth to guide the UN; computed using the k-means algorithm to exclude the use of prior HU methods.
1 code implementation • 13 Dec 2021 • Gihan Jayatilaka, Jameel Hassan, Suren Sritharan, Janith Bandara Senananayaka, Harshana Weligampola, Roshan Godaliyadda, Parakrama Ekanayake, Vijitha Herath, Janaka Ekanayake, Samath Dharmaratne
The system strives to holistically capture and interpret the information content of CCTV footage spanning multiple frames to recognize instances of various violations of social distancing protocols, across time and space, as well as identification of group behaviors.
no code implementations • 19 Nov 2021 • Eranda Somathilake, Upekha Delay, Janith Bandara Senanayaka, Samitha Gunarathne, Roshan Godaliyadda, Parakrama Ekanayake, Janaka Wijayakulasooriya, Chathura Rathnayake
Assessing the health of both the fetus and mother is vital in preventing and identifying possible complications in pregnancy.
no code implementations • 21 Aug 2021 • Umar Marikkar, Harshana Weligampola, Rumali Perera, Jameel Hassan, Suren Sritharan, Gihan Jayatilaka, Roshan Godaliyadda, Vijitha Herath, Parakrama Ekanayake, Janaka Ekanayake, Anuruddhika Rathnayake, Samath Dharmaratne
In this study, a forecasting solution is proposed, to predict daily new cases of COVID-19 in regions small enough where containment measures could be locally implemented, by targeting three main shortcomings that exist in literature; the unreliability of existing data caused by inconsistent testing patterns in smaller regions, weak deploy-ability of forecasting models towards predicting cases in previously unseen regions, and model training biases caused by the imbalanced nature of data in COVID-19 epi-curves.
no code implementations • 21 May 2021 • Harshana Weligampola, Gihan Jayatilaka, Suren Sritharan, Parakrama Ekanayake, Roshan Ragel, Vijitha Herath, Roshan Godaliyadda
There is a lack of unsupervised learning approaches for decomposing an image into reflectance and shading using a single image.
no code implementations • 3 Feb 2021 • Thoshara Nawarathne, Thanushi Withanage, Samitha Gunarathne, Upekha Delay, Eranda Somathilake, Janith Senanayake, Roshan Godaliyadda, Parakrama Ekanayake, Janaka Wijayakulasooriya, Chathura Rathnayake
Fetal motion discernment utilizing spectral images extracted from accelerometric data incident on pregnant mothers abdomen has gained substantial attention in the state-of-the-art research.
no code implementations • 18 Nov 2020 • Yasiru Ranasinghe, Sanjaya Herath, Kavinga Weerasooriya, Mevan Ekanayake, Roshan Godaliyadda, Parakrama Ekanayake, Vijitha Herath
In the remote sensing context spectral unmixing is a technique to decompose a mixed pixel into two fundamental representatives: endmembers and abundances.
no code implementations • 27 Jun 2020 • Harshana Weligampola, Gihan Jayatilaka, Suren Sritharan, Roshan Godaliyadda, Parakrama Ekanayaka, Roshan Ragel, Vijitha Herath
Low light image enhancement is an important challenge for the development of robust computer vision algorithms.