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Sachith Seneviratne
Sachith Seneviratne
Research Fellow in Computer Vision, University Of Melbourne
Verified email at unimelb.edu.au
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Cited by
Year
MFR 2021: Masked face recognition competition
F Boutros, N Damer, JN Kolf, K Raja, F Kirchbuchner, R Ramachandra, ...
2021 IEEE International Joint Conference on Biometrics (IJCB), 1-10, 2021
622021
Sigrep: Toward robust wearable emotion recognition with contrastive representation learning
V Dissanayake, S Seneviratne, R Rana, E Wen, T Kaluarachchi, ...
IEEE Access 10, 18105-18120, 2022
332022
Self-supervised vision transformers for malware detection
S Seneviratne, R Shariffdeen, S Rasnayaka, N Kasthuriarachchi
IEEE Access 10, 103121-103135, 2022
212022
Semantic segmentation using vision transformers: A survey
H Thisanke, C Deshan, K Chamith, S Seneviratne, R Vidanaarachchi, ...
Engineering Applications of Artificial Intelligence 126, 106669, 2023
192023
Quantitative and qualitative evaluation of performance and robustness of image stitching algorithms
V Dissanayake, S Herath, S Rasnayaka, S Seneviratne, ...
2015 International Conference on Digital Image Computing: Techniques and …, 2015
192015
DALLE-URBAN: Capturing the urban design expertise of large text to image transformers
Sachith Seneviratne, Damith Senanayake, Sanka Rasnayaka, Rajith ...
2022 International Conference on Digital Image Computing: Techniques and …, 2022
162022
The impact of the COVID-19 pandemic on air pollution: A global assessment using machine learning techniques
JS Wijnands, KA Nice, S Seneviratne, J Thompson, M Stevenson
Atmospheric Pollution Research 13 (6), 101438, 2022
142022
Developing urban biking typologies: Quantifying the complex interactions of bicycle ridership, bicycle network and built environment characteristics
B Beck, M Winters, T Nelson, C Pettit, SZ Leao, M Saberi, J Thompson, ...
Environment and Planning B: Urban Analytics and City Science 50 (1), 7-23, 2023
122023
Contrastive Representation Learning for Natural World Imagery: Habitat prediction for 30, 000 species.
S Seneviratne
CLEF (Working Notes), 1639-1648, 2021
122021
Isolating the impacts of urban form and fabric from geography on urban heat and human thermal comfort
KA Nice, N Nazarian, MJ Lipson, MA Hart, S Seneviratne, J Thompson, ...
Building and Environment 224, 109502, 2022
11*2022
DINO-MC: Self-supervised Contrastive Learning for Remote Sensing Imagery with Multi-sized Local Crops
X Wanyan, S Seneviratne, S Shen, M Kirley
arXiv preprint arXiv:2303.06670, 2023
102023
Multi-dataset benchmarks for masked identification using contrastive representation learning
S Seneviratne, N Kasthuriarachchi, S Rasnayaka
2021 Digital Image Computing: Techniques and Applications (DICTA), 01-08, 2021
82021
Does a face mask protect my privacy?: Deep learning to predict protected attributes from masked face images
S Seneviratne, N Kasthuriarachchi, S Rasnayaka, D Hettiachchi, ...
Australasian Joint Conference on Artificial Intelligence, 91-102, 2022
72022
Self-Supervision. Remote Sensing and Abstraction: Representation Learning Across 3 Million Locations
S Seneviratne, KA Nice, JS Wijnands, M Stevenson, J Thompson
2021 Digital Image Computing: Techniques and Applications (DICTA), 01-08, 2021
72021
IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C)
G Stragapede, R Vera-Rodriguez, R Tolosana, A Morales, J Fierrez, ...
2022 IEEE International Joint Conference on Biometrics (IJCB), 1-7, 2022
62022
Real-time gesture prediction using mobile sensor data for vr applications
V Dissanayake, S Herath, S Rasnayaka, S Seneviratne, ...
International Journal of Machine Learning and Computing 6 (3), 215, 2016
62016
A systematic scoping review of methods for estimating link-level bicycling volumes
D Bhowmick, M Saberi, M Stevenson, J Thompson, M Winters, T Nelson, ...
Transport reviews 43 (4), 622-651, 2023
42023
Association between network characteristics and bicycle ridership across a large metropolitan region
B Beck, C Pettit, M Winters, T Nelson, HL Vu, K Nice, S Seneviratne, ...
International Journal of Sustainable Transportation, 1-12, 2024
32024
Improving speed of models for improved real-world decision-making
J Thompson, H Zhao, S Seneviratne, R Byrne, R Vidanaarachichi, ...
SocArXiv, 2021
22021
FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning
S Shen, S Seneviratne, X Wanyan, M Kirley
arXiv preprint arXiv:2303.07035, 2023
12023
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