Publications

2024

  • P Velayuthan, TD Ambegoda. Benchmarking OCR Models for Sinhala and Tamil Document Digitization. Engineering Research Unit, University of Moratuwa. [PDF]
  • D Jayakody, T Ambegoda. Few-shot Multispectral Segmentation with Representations Generated by Reinforcement Learning. 35th British Machine Vision Conference (BMVC 2024). [PDF]
  • D Herath, C Dinuwan, C Ihalagedara, T Ambegoda. Enhancing Educational Outcomes Through AI Powered Learning Strategy Recommendation System. International Journal of Advanced Computer Science & Applications, 15(10). [PDF]
  • P Sivakumar, P Janson, J Rajasegaran, T Ambegoda. FewShotNeRF: Meta-Learning-based Novel View Synthesis for Rapid Scene-Specific Adaptation. arXiv preprint arXiv:2408.04803. [PDF]
  • P Sarveswarasarma, T Sathulakjan, VJV Godfrey, TD Ambegoda. Air Signing and Privacy-Preserving Signature Verification for Digital Documents. arXiv preprint arXiv:2405.10868. [PDF]
  • SPK Malaviarachchi, P Dharmapriya, R Chandrajith, H Pitawala, et al. Overview of Sri Lanka's Rare Occurrence of Serpentinites Within Proterozoic High-Grade Metamorphic Basement Rocks as a Mars-Context Research Site. LPI Contributions, 3040:2324. [PDF]
  • NH Amarasinghe, TD Ambegoda. Few-Shot Lung Cancer Classification Using Prototypical Networks. 2024 4th International Conference on Advanced Research in Computing (ICARC), 79-84. [PDF]

2023

  • K Charuka, S Wickramanayake, TD Ambegoda, P Madhushan, D Wijesooriya. Sign Language Recognition for Low Resource Languages Using Few Shot Learning. International Conference on Neural Information Processing, 203-214. [PDF]
  • T Schmidt, T Ambegoda, K Gunasekera. Vehicle Classification Using Raspberry Pi: A Guide to Capturing WiFi CSI Data. 2023 Moratuwa Engineering Research Conference (MERCon), 702-707. [PDF]
  • A Wijesinghe, TD Ambegoda, AS Perera, T Sivakumar. Siamese Networks for RF-Based Vehicle Trajectory Prediction. 2023 IEEE 17th International Conference on Industrial and Information Systems (ICIIS), 495-500. [PDF]
  • KPG Kavinda, CB Rathnayaka, WGC Silva, TD Ambegoda, R Manogaran, S Karunatillake. RESIST: Tool to Automatically Segment Martian Inverted Channels in HiRISE Images. 54th Lunar and Planetary Science Conference, 2806:1821. [PDF]
  • DR Jayakody, TD Ambegoda, S Karunatillake, EB Hughes. Optimized Field Sampling of Mars-Analog Serpentine Zones via Machine Learning. 54th Lunar and Planetary Science Conference, 2806:2242. [PDF]
  • W Nimalsiri, M Hennayake, K Rathnayake, TD Ambegoda, D Meedeniya. Automated Radiology Report Generation Using Transformers. 2023 3rd International Conference on Advanced Research in Computing (ICARC), 90-95. [PDF]
  • W Nimalsiri, M Hennayake, K Rathnayake, TD Ambegoda, D Meedeniya. CXLSeg Dataset: Chest X-ray with Lung Segmentation. 2023 International Conference On Cyber Management And Engineering (CyMaEn), 327-331. [PDF]
  • S Kanagarajah, T Ambegoda, R Rodrigo. SATHUR: Self Augmenting Task Hallucinal Unified Representation for Generalized Class Incremental Learning. Proceedings of the IEEE/CVF International Conference on Computer Vision, 3473-3480. [PDF]
  • M Minoli, TD Ambegoda. Knowledge Graphs for COVID-19: A Survey. Advanced AI and Internet of Health Things for Combating Pandemics, 3-19. [PDF]
  • N Jayakody, P Cooray, S Dasanayake, T Ambegoda. Monocular Depth Estimation of Planetary Landforms: A Diffusion Model Approach for Faster Inference. SSRN preprint (2023). [PDF]
  • C Rathnayaka, G Silva, K Pathirana, T Ambegoda, R Manogaran, S Karunatillake. Resist: Resource Efficient Satellite Image Segmentation Tool for Curvilinear Structure Segmentation. SSRN preprint (2023). [PDF]

2022

  • S Dasanayaka, V Shantha, S Silva, D Meedeniya, T Ambegoda. Interpretable Machine Learning for Brain Tumour Analysis Using MRI and Whole Slide Images. Software Impacts, 13:100340. [PDF]
  • V Wijerathna, H Raveen, S Abeygunawardhana, TD Ambegoda. Chest X-Ray Caption Generation with CheXNet. 2022 Moratuwa Engineering Research Conference (MERCon), 1-6. [PDF]
  • K Silva, T Maheepala, K Tharaka, TD Ambegoda. Adversarial Learning to Improve Question Image Embedding in Medical Visual Question Answering. 2022 Moratuwa Engineering Research Conference (MERCon), 1-6. [PDF]
  • AA Weerasooriya, TD Ambegoda. Sinhala Fingerspelling Sign Language Recognition with Computer Vision. 2022 Moratuwa Engineering Research Conference (MERCon), 1-6. [PDF]
  • A Hussaindeen, S Iqbal, TD Ambegoda. Multi-label Prototype Based Interpretable Machine Learning for Melanoma Detection. International Journal of Advances in Signal and Image Sciences, 8(1):40-53. [PDF]
  • I Senevirathne, T Ambegoda, R Wijesena, I Perera. IoT-based Soil Nutrient Analyser Using Gaussian Process Regression. 2022 2nd International Conference on Advanced Research in Computing (ICARC), 7-12. [PDF]
  • S Dasanayaka, S Silva, V Shantha, D Meedeniya, T Ambegoda. Interpretable Machine Learning for Brain Tumor Analysis Using MRI. 2022 2nd International Conference on Advanced Research in Computing (ICARC), 212-217. [PDF]

2020

  • J Nordt, T Ambegoda, B Chen. Cleaning Apparatus and Method for Operating a Cleaning Apparatus. US Patent App. 16/764,144. [PDF]
  • TD Ambegoda, M Cook. Efficient 2D Neuron Boundary Segmentation with Local Topological Constraints. arXiv preprint arXiv:2002.01036. [PDF]
  • TD Ambegoda, JNP Martel, J Adamcik, M Cook, RHR Hahnloser. Estimation of Z-thickness and XY-anisotropy of Electron Microscopy Images Using Gaussian Processes. arXiv preprint arXiv:2002.00228. [PDF]

2017

  • TD Ambegoda Liyana Arachchige. EM Image Analysis for Neuron Segmentation, Thickness Estimation, and Synaptic Bouton Quantification. ETH Zurich. [PDF]

2008

  • ALATD Ambegoda, WTS De Silva, KT Hemachandra, TN Samarasinghe, ATLK Samarasinghe. Centralized Traffic Controlling System for Sri Lanka Railways. 2008 4th International Conference on Information and Automation for Sustainability, 145-149. [PDF]