Quantitative and Qualitative Evaluation of Performance and Robustness of Image Stitching Algorithms. - Vipula Dissanayake; Sachini Herath; Sanka Rasnayaka; Sachith Seneviratne; Rajith Vidanaarachchi; Chandana Gamage (DICTA, 2015)

Generation of intermediate viewpoints for scalable adaptation of real world environments for virtual reality. - Sachini Herath; Vipula Dissanayake; Sanka Rasnayaka; Sachith Seneviratne; Rajith Vidanaarachchi; Chandana Gamage (ICIIS, 2017)

Contrastive Representation Learning for Natural World Imagery: Habitat prediction for 30, 000 species. - Sachith Seneviratne (CLEF (Working Notes), 2021)

Multi-Dataset Benchmarks for Masked Identification using Contrastive Representation Learning. - Sachith Seneviratne; Nuran Kasthuriarachchi; Sanka Rasnayaka (DICTA, 2021)

Self-Supervision. Remote Sensing and Abstraction: Representation Learning Across 3 Million Locations. - Sachith Seneviratne; Kerry A. Nice; Jasper S. Wijnands; Mark Stevenson; Jason Thompson (DICTA, 2021)

MFR 2021: Masked Face Recognition Competition. - Fadi Boutros; Naser Damer; Jan Niklas Kolf; Kiran B. Raja; Florian Kirchbuchner; Raghavendra Ramachandra; Arjan Kuijper; Pengcheng Fang; Chao Zhang; Fei Wang 032; David Montero 002; Naiara Aginako; et al. (IJCB, 2021)

Automatic Code Generation for Statistical Models with Augmentation and Collapsing. - Sachith Seneviratne (2021)

Does a Face Mask Protect My Privacy?: Deep Learning to Predict Protected Attributes from Masked Face Images. - Sachith Seneviratne; Nuran Kasthuriarachchi; Sanka Rasnayaka; Danula Hettiachchi; Ridwan Shariffdeen (AI, 2022)

A Template for Transfer of NetLogo Models to High-Performance Computing Environments for Enhanced Real-World Decision-Support. - Jason Thompson; Haifeng Zhao 003; Sachith Seneviratne; Rohan Byrne; Rajith Vidanaarachchi; Roderick J. McClure (ESSA, 2022)

IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C). - Giuseppe Stragapede; Rubén Vera-Rodríguez; Ruben Tolosana; Aythami Morales; Julian Fiérrez; Javier Ortega-Garcia; Sanka Rasnayaka; Sachith Seneviratne; Vipula Dissanayake; Jonathan Liebers; Ashhadul Islam; Samir Brahim Belhaouari; et al. (IJCB, 2022)

Self-supervised Representation Fusion for Speech and Wearable Based Emotion Recognition. - Vipula Dissanayake; Sachith Seneviratne; Hussel Suriyaarachchi; Elliott Wen; Suranga Nanayakkara (INTERSPEECH, 2022)

SigRep: Toward Robust Wearable Emotion Recognition With Contrastive Representation Learning. - Vipula Dissanayake; Sachith Seneviratne; Rajib Rana; Elliott Wen; Tharindu Kaluarachchi; Suranga Nanayakkara (IEEE Access, 2022)

Self-Supervised Vision Transformers for Malware Detection. - Sachith Seneviratne; Ridwan Shariffdeen; Sanka Rasnayaka; Nuran Kasthuriarachchi (IEEE Access, 2022)

DALLE-URBAN: Capturing the urban design expertise of large text to image transformers. - Sachith Seneviratne; Damith A. Senanayake; Sanka Rasnayaka; Rajith Vidanaarachchi; Jason Thompson (CoRR, 2022)

Urban feature analysis from aerial remote sensing imagery using self-supervised and semi-supervised computer vision. - Sachith Seneviratne; Jasper S. Wijnands; Kerry A. Nice; Haifeng Zhao 003; Branislava Godic; Suzanne Mavoa; Rajith Vidanaarachchi; Mark Stevenson; Leandro García; Ruth F. Hunter; Jason Thompson (CoRR, 2022)

FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning. - Shuchang Shen; Sachith Seneviratne; Xinye Wanyan; Michael Kirley (DICTA, 2023)

Scalable Label-efficient Footpath Network Generation Using Remote Sensing Data and Self-supervised Learning. - Xinye Wanyan; Sachith Seneviratne; Kerry A. Nice; Jason Thompson; Marcus White; Nano Langenheim; Mark Stevenson (DICTA, 2023)

Leveraging Segment-Anything model for automated zero-shot road width extraction from aerial imagery. - Nan Xu; Kerry A. Nice; Sachith Seneviratne; Mark Stevenson (DICTA, 2023)

Undercover Deepfakes: Detecting Fake Segments in Videos. - Sanjay Saha; Rashindrie Perera; Sachith Seneviratne; Tamasha Malepathirana; Sanka Rasnayaka; Deshani Geethika; Terence Sim; Saman K. Halgamuge (ICCV (Workshops), 2023)

DINO-MC: Self-supervised Contrastive Learning for Remote Sensing Imagery with Multi-sized Local Crops. - Xinye Wanyan; Sachith Seneviratne; Shuchang Shen; Michael Kirley (CoRR, 2023)

Semantic segmentation using Vision Transformers: A survey. - M. K. Hans Thisanke; L. A. Chamli Deshan; Kavindu Chamith; Sachith Seneviratne; Rajith Vidanaarachchi; Damayanthi Herath (Eng. Appl. Artif. Intell., 2023)

GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations. - Nisal Ranasinghe; Damith A. Senanayake; Sachith Seneviratne; Malin Premaratne; Saman K. Halgamuge (AAAI, 2024)

Extending global-local view alignment for self-supervised learning with remote sensing imagery. - Xinye Wanyan; Sachith Seneviratne; Shuchang Shen; Michael Kirley (CVPR Workshops, 2024)

AniFaceDiff: High-Fidelity Face Reenactment via Facial Parametric Conditioned Diffusion Models. - Ken Chen; Sachith Seneviratne; Wei Wang 133; Dongting Hu; Sanjay Saha; Md. Tarek Hasan; Sanka Rasnayaka; Tamasha Malepathirana; Mingming Gong; Saman K. Halgamuge (CoRR, 2024)

General algorithm of assigning raster features to vector maps at any resolution or scale. - Nan Xu; Mark Stevenson; Kerry A. Nice; Sachith Seneviratne (CoRR, 2024)

GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks. - Nisal Ranasinghe; Yu Xia; Sachith Seneviratne; Saman K. Halgamuge (CoRR, 2024)

Rethinking Time Series Forecasting with LLMs via Nearest Neighbor Contrastive Learning. - Jayanie Bogahawatte; Sachith Seneviratne; Maneesha Perera; Saman K. Halgamuge (CoRR, 2024)

TT-MPD: Test Time Model Pruning and Distillation. - Haihang Wu; Wei Wang 133; Tamasha Malepathirana; Sachith Seneviratne; Denny Oetomo; Saman K. Halgamuge (CoRR, 2024)

SphOR: A Representation Learning Perspective on Open-set Recognition for Identifying Unknown Classes in Deep Learning Models. - Nadarasar Bahavan; Sachith Seneviratne; Saman K. Halgamuge (CoRR, 2025)

Unmasking the Unknown: Facial Deepfake Detection in the Open-Set Paradigm. - Nadarasar Bahavan; Sanjay Saha; Ken Chen; Sachith Seneviratne; Sanka Rasnayaka; Saman K. Halgamuge (CoRR, 2025)

Arch-LLM: Taming LLMs for Neural Architecture Generation via Unsupervised Discrete Representation Learning. - Deshani Geethika Poddenige; Sachith Seneviratne; Damith A. Senanayake; Mahesan Niranjan; Ponnuthurai N. Suganthan; Saman K. Halgamuge (CoRR, 2025)

FRAME-C: A knowledge-augmented deep learning pipeline for classifying multi-electrode array electrophysiological signals. - Nisal Ranasinghe; Dzung Do-Ha; Simon Maksour; Tamasha Malepathirana; Sachith Seneviratne; Lezanne Ooi; Saman K. Halgamuge (CoRR, 2025)

AniFaceDiff: Animating stylized avatars via parametric conditioned diffusion models. - Ken Chen; Sachith Seneviratne; Wei Wang 133; Dongting Hu; Sanjay Saha; Md. Tarek Hasan; Sanka Rasnayaka; Tamasha Malepathirana; Mingming Gong; Saman K. Halgamuge (Pattern Recognit., 2026)