Sachith Seneviratne

Orcid: 0000-0001-9094-2736

According to our database1, Sachith Seneviratne authored at least 21 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

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
Semantic segmentation using Vision Transformers: A survey.
Eng. Appl. Artif. Intell., November, 2023

DINO-MC: Self-supervised Contrastive Learning for Remote Sensing Imagery with Multi-sized Local Crops.
CoRR, 2023

Undercover Deepfakes: Detecting Fake Segments in Videos.
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

Self-Supervised Vision Transformers for Malware Detection.
IEEE Access, 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 Interspeech 2022, 2022

IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C).
Proceedings of the IEEE International Joint Conference on Biometrics, 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
Automatic Code Generation for Statistical Models with Augmentation and Collapsing.
PhD thesis, 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


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