Thanuja D. Ambegoda

According to our database, Thanuja D. Ambegoda authored at least 11 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

SinOCR and SinFUND - Sinhala OCR and Form Understanding Datasets.

Kavishka Gunathilaka, Danusha Hewagama, Supul Pushpakumara, Thanuja D. Ambegoda

Dataset, June, 2024

FewShotNeRF: Meta-Learning-based Novel View Synthesis for Rapid Scene-Specific Adaptation.

Piraveen Sivakumar, Paul Janson, Jathushan Rajasegaran, Thanuja D. Ambegoda

CoRR, 2024

Air Signing and Privacy-Preserving Signature Verification for Digital Documents.

P. Sarveswarasarma, T. Sathulakjan, V. J. V. Godfrey, Thanuja D. Ambegoda

CoRR, 2024

Few-shot Multispectral Segmentation with Representations Generated by Reinforcement Learning.

Dilith Jayakody, Thanuja D. Ambegoda

Proceedings of the 35th British Machine Vision Conference, 2024

2023

Sign Language Recognition for Low Resource Languages Using Few Shot Learning.

Kaveesh Charuka, Sandareka Wickramanayake, Thanuja D. Ambegoda, Pasan Madhushan, Dineth Wijesooriya

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Siamese Networks for RF-Based Vehicle Trajectory Prediction.

Anjana Wijesinghe, Thanuja D. Ambegoda, Amal Shehan Perera, Thillaiampalam Sivakumar

Proceedings of the 17th IEEE International Conference on Industrial and Information Systems, 2023

SATHUR: Self Augmenting Task Hallucinal Unified Representation for Generalized Class Incremental Learning.

Sathursan Kanagarajah, Thanuja D. Ambegoda, Ranga Rodrigo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Interpretable machine learning for brain tumour analysis using MRI and whole slide images.

Sasmitha Dasanayaka, Vimuth Shantha, Sanju Silva, Dulani Meedeniya, Thanuja D. Ambegoda

Softw. Impacts, 2022

2020

Efficient 2D neuron boundary segmentation with local topological constraints.

Thanuja D. Ambegoda, Matthew Cook

CoRR, 2020

Estimation of Z-Thickness and XY-Anisotropy of Electron Microscopy Images using Gaussian Processes.

Thanuja D. Ambegoda, Julien N. P. Martel, Jozef Adamcik, Matthew Cook, Richard H. R. Hahnloser

CoRR, 2020

2017

EM image analysis for neuron segmentation, thickness estimation, and synaptic bouton quantification.

Thanuja D. Ambegoda

PhD thesis, 2017