Sachith Seneviratne
Orcid: 0000-0001-9094-2736
According to our database1,
Sachith Seneviratne
authored at least 28 papers
between 2015 and 2024.
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Bibliography
2024
Rethinking Time Series Forecasting with LLMs via Nearest Neighbor Contrastive Learning.
CoRR, 2024
GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks.
CoRR, 2024
General algorithm of assigning raster features to vector maps at any resolution or scale.
CoRR, 2024
AniFaceDiff: High-Fidelity Face Reenactment via Facial Parametric Conditioned Diffusion Models.
CoRR, 2024
Extending global-local view alignment for self-supervised learning with remote sensing imagery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Eng. Appl. Artif. Intell., November, 2023
DINO-MC: Self-supervised Contrastive Learning for Remote Sensing Imagery with Multi-sized Local Crops.
CoRR, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Leveraging Segment-Anything model for automated zero-shot road width extraction from aerial imagery.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023
Scalable Label-efficient Footpath Network Generation Using Remote Sensing Data and Self-supervised Learning.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023
FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023
2022
Urban feature analysis from aerial remote sensing imagery using self-supervised and semi-supervised computer vision.
CoRR, 2022
DALLE-URBAN: Capturing the urban design expertise of large text to image transformers.
CoRR, 2022
SigRep: Toward Robust Wearable Emotion Recognition With Contrastive Representation Learning.
IEEE Access, 2022
Self-supervised Representation Fusion for Speech and Wearable Based Emotion Recognition.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
Proceedings of the IEEE International Joint Conference on Biometrics, 2022
A Template for Transfer of NetLogo Models to High-Performance Computing Environments for Enhanced Real-World Decision-Support.
Proceedings of the Advances in Social Simulation, 2022
Does a Face Mask Protect My Privacy?: Deep Learning to Predict Protected Attributes from Masked Face Images.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022
2021
PhD thesis, 2021
Proceedings of the International IEEE Joint Conference on Biometrics, 2021
Self-Supervision. Remote Sensing and Abstraction: Representation Learning Across 3 Million Locations.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021
Multi-Dataset Benchmarks for Masked Identification using Contrastive Representation Learning.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021
Contrastive Representation Learning for Natural World Imagery: Habitat prediction for 30, 000 species.
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021
2017
Generation of intermediate viewpoints for scalable adaptation of real world environments for virtual reality.
Proceedings of the 2017 IEEE International Conference on Industrial and Information Systems, 2017
2015
Quantitative and Qualitative Evaluation of Performance and Robustness of Image Stitching Algorithms.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015