Tamasha Malepathirana

16 papers A* 2C 1Misc 1Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
AniFaceDiff: Animating stylized avatars via parametric conditioned diffusion models.
Pattern Recognit.
Ken Chen, Sachith Seneviratne, Wei Wang, Dongting Hu, Sanjay Saha, Md. Tarek Hasan, Sanka Rasnayaka, Tamasha Malepathirana, Mingming Gong, Saman K. Halgamuge
2025 J jnl
FRAME-C: A knowledge-augmented deep learning pipeline for classifying multi-electrode array electrophysiological signals.
CoRR
Nisal Ranasinghe, Dzung Do-Ha, Simon Maksour, Tamasha Malepathirana, Sachith Seneviratne, Lezanne Ooi, Saman K. Halgamuge
2024 J jnl
AniFaceDiff: High-Fidelity Face Reenactment via Facial Parametric Conditioned Diffusion Models.
CoRR
Ken Chen, Sachith Seneviratne, Wei Wang, Dongting Hu, Sanjay Saha, Md. Tarek Hasan, Sanka Rasnayaka, Tamasha Malepathirana, Mingming Gong, Saman K. Halgamuge
2024 J jnl
TT-MPD: Test Time Model Pruning and Distillation.
CoRR
Haihang Wu, Wei Wang, Tamasha Malepathirana, Sachith Seneviratne, Denny Oetomo, Saman K. Halgamuge
2024 J jnl
When To Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks.
CoRR
Haihang Wu, Wei Wang, Tamasha Malepathirana, Damith A. Senanayake, Denny Oetomo, Saman K. Halgamuge
2024 A* conf
When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks.
AAAI
Haihang Wu, Wei Wang, Tamasha Malepathirana, Damith A. Senanayake, Denny Oetomo, Saman K. Halgamuge
2023 A* conf
NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning.
ICCV
Tamasha Malepathirana, Damith A. Senanayake, Saman K. Halgamuge
2023 J jnl
NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning.
CoRR
Tamasha Malepathirana, Damith A. Senanayake, Saman K. Halgamuge
2023 — —
Neural Networks for High-Dimensional and Continually Generated Data.
Tamasha Malepathirana
2023 — conf
Undercover Deepfakes: Detecting Fake Segments in Videos.
ICCV (Workshops)
Sanjay Saha, Rashindrie Perera, Sachith Seneviratne, Tamasha Malepathirana, Sanka Rasnayaka, Deshani Geethika, Terence Sim, Saman K. Halgamuge
2023 J jnl
Undercover Deepfakes: Detecting Fake Segments in Videos.
CoRR
Sanjay Saha, Rashindrie Perera, Sachith Seneviratne, Tamasha Malepathirana, Sanka Rasnayaka, Deshani Geethika, Terence Sim, Saman K. Halgamuge
2022 J jnl
Dimensionality reduction for visualizing high-dimensional biological data.
Biosyst.
Tamasha Malepathirana, Damith A. Senanayake, Rajith Vidanaarachchi, Vini Gautam, Saman K. Halgamuge
2022 J jnl
Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications.
CoRR
Nisal Ranasinghe, A. Ramanan, S. Fernando, Pathima Nusrath Hameed, Damayanthi Herath, Tamasha Malepathirana, Ponnuthurai N. Suganthan, M. Niranjan, Saman K. Halgamuge
2021 C conf
Robustness of Visualization Methods in Preserving the Continuous and Discrete Latent Structures of High-Dimensional Single-Cell Data.
CIBCB
Tamasha Malepathirana, Damith A. Senanayake, Vini Gautam, Saman K. Halgamuge
2019 Misc conf
Adaptation of Multivariate Concept to Multi-Way Agglomerative Clustering for Hierarchical Aspect Aggregation.
FLAIRS
Tamasha Malepathirana, Rashindrie Perera, Yasasi Abeysinghe, Yumna Albar, Uthayasanker Thayasivam
2019 — conf
Amalgamation of General and Domain Specific Word Embeddings for Improved Hierarchical Aspect Aggregation.
ICSC
Rashindrie Perera, Tamasha Malepathirana, Yasasi Abeysinghe, Yumna Albar, Uthayasanker Thayasivam