no code implementations • 13 Sep 2023 • Nirhoshan Sivaroopan, Chamuditha Jayanga, Chalani Ekanayake, Hasindri Watawana, Jathurshan Pradeepkumar, Mithunjha Anandakumar, Ranga Rodrigo, Chamira U. S. Edussooriya, Dushan N. Wadduwage
We show that our approach can reach the state-of-the-art (SOTA) for patch-level classification with only 1-10% randomly selected annotations compared to other SOTA approaches.
1 code implementation • 27 Oct 2022 • Mithunjha Anandakumar, Jathurshan Pradeepkumar, Simon L. Kappel, Chamira U. S. Edussooriya, Anjula C. De Silva
Sleep plays a crucial role in the well-being of human lives.
1 code implementation • 15 Aug 2022 • Jathurshan Pradeepkumar, Mithunjha Anandakumar, Vinith Kugathasan, Dhinesh Suntharalingham, Simon L. Kappel, Anjula C. De Silva, Chamira U. S. Edussooriya
Here, we propose a cross-modal transformer, which is a transformer-based method for sleep stage classification.
Ranked #2 on Automatic Sleep Stage Classification on Sleep-EDF
Automatic Sleep Stage Classification General Classification +3
1 code implementation • 7 Oct 2021 • Mohamed Afham, Udith Haputhanthri, Jathurshan Pradeepkumar, Mithunjha Anandakumar, Ashwin De Silva, Chamira Edussooriya
Majority of the contactless human pose estimation algorithms are based on RGB modality, causing ineffectiveness in in-bed pose estimation due to occlusions by blankets and varying illumination conditions.