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ORCIDSachith Seneviratne
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2020 – today
- 2024
[c16]Nisal Ranasinghe, Damith A. Senanayake, Sachith Seneviratne, Malin Premaratne, Saman K. Halgamuge:
GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations. AAAI 2024: 14776-14784- [c15]Xinye Wanyan, Sachith Seneviratne, Shuchang Shen, Michael Kirley:
Extending global-local view alignment for self-supervised learning with remote sensing imagery. CVPR Workshops 2024: 2443-2453 - [i19]Ken Chen, Sachith Seneviratne, Wei Wang, Dongting Hu, Sanjay Saha, Md. Tarek Hasan, Sanka Rasnayaka, Tamasha Malepathirana, Mingming Gong, Saman K. Halgamuge:
AniFaceDiff: High-Fidelity Face Reenactment via Facial Parametric Conditioned Diffusion Models. CoRR abs/2406.13272 (2024) - [i18]Nan Xu
, Mark Stevenson, Kerry A. Nice, Sachith Seneviratne:
General algorithm of assigning raster features to vector maps at any resolution or scale. CoRR abs/2407.10599 (2024) - [i17]Nisal Ranasinghe, Yu Xia, Sachith Seneviratne, Saman K. Halgamuge:
GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks. CoRR abs/2408.14780 (2024) - [i16]Jayanie Bogahawatte, Sachith Seneviratne, Maneesha Perera, Saman K. Halgamuge:
Rethinking Time Series Forecasting with LLMs via Nearest Neighbor Contrastive Learning. CoRR abs/2412.04806 (2024) - [i15]Haihang Wu, Wei Wang, Tamasha Malepathirana, Sachith Seneviratne, Denny Oetomo, Saman K. Halgamuge:
TT-MPD: Test Time Model Pruning and Distillation. CoRR abs/2412.07114 (2024) - 2023
- [j3]M. K. Hans Thisanke, L. A. Chamli Deshan, Kavindu Chamith, Sachith Seneviratne, Rajith Vidanaarachchi, Damayanthi Herath:
Semantic segmentation using Vision Transformers: A survey. Eng. Appl. Artif. Intell. 126: 106669 (2023) - [c14]Xinye Wanyan, Sachith Seneviratne, Kerry A. Nice, Jason Thompson, Marcus White, Nano Langenheim, Mark Stevenson:
Scalable Label-efficient Footpath Network Generation Using Remote Sensing Data and Self-supervised Learning. DICTA 2023: 137-144 - [c13]Nan Xu, Kerry A. Nice, Sachith Seneviratne, Mark Stevenson:
Leveraging Segment-Anything model for automated zero-shot road width extraction from aerial imagery. DICTA 2023: 176-183 - [c12]Shuchang Shen, Sachith Seneviratne, Xinye Wanyan, Michael Kirley:
FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning. DICTA 2023: 189-196 - [c11]Sanjay Saha, Rashindrie Perera, Sachith Seneviratne, Tamasha Malepathirana, Sanka Rasnayaka, Deshani Geethika, Terence Sim, Saman K. Halgamuge:
Undercover Deepfakes: Detecting Fake Segments in Videos. ICCV (Workshops) 2023: 415-425 - [i14]Xinye Wanyan, Sachith Seneviratne, Shuchang Shen, Michael Kirley:
DINO-MC: Self-supervised Contrastive Learning for Remote Sensing Imagery with Multi-sized Local Crops. CoRR abs/2303.06670 (2023) - [i13]Shuchang Shen, Sachith Seneviratne, Xinye Wanyan, Michael Kirley:
FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning. CoRR abs/2303.07035 (2023) - [i12]M. K. Hans Thisanke, L. A. Chamli Deshan, Kavindu Chamith, Sachith Seneviratne, Rajith Vidanaarachchi, Damayanthi Herath:
Semantic Segmentation using Vision Transformers: A survey. CoRR abs/2305.03273 (2023) - [i11]Sanjay Saha, Rashindrie Perera, Sachith Seneviratne, Tamasha Malepathirana, Sanka Rasnayaka, Deshani Geethika, Terence Sim, Saman K. Halgamuge:
Undercover Deepfakes: Detecting Fake Segments in Videos. CoRR abs/2305.06564 (2023) - [i10]Xinye Wanyan, Sachith Seneviratne, Kerry A. Nice, Jason Thompson, Marcus White, Nano Langenheim, Mark Stevenson:
Scalable Label-efficient Footpath Network Generation Using Remote Sensing Data and Self-supervised Learning. CoRR abs/2309.09446 (2023) - [i9]Nisal Ranasinghe, Damith A. Senanayake, Sachith Seneviratne, Malin Premaratne, Saman K. Halgamuge:
GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations. CoRR abs/2312.10913 (2023) - 2022
- [j2]Vipula Dissanayake, Sachith Seneviratne, Rajib Rana, Elliott Wen, Tharindu Kaluarachchi, Suranga Nanayakkara:
SigRep: Toward Robust Wearable Emotion Recognition With Contrastive Representation Learning. IEEE Access 10: 18105-18120 (2022) - [j1]Sachith Seneviratne, Ridwan Shariffdeen, Sanka Rasnayaka, Nuran Kasthuriarachchi:
Self-Supervised Vision Transformers for Malware Detection. IEEE Access 10: 103121-103135 (2022) - [c10]Sachith Seneviratne, Nuran Kasthuriarachchi, Sanka Rasnayaka, Danula Hettiachchi, Ridwan Shariffdeen:
Does a Face Mask Protect My Privacy?: Deep Learning to Predict Protected Attributes from Masked Face Images. AI 2022: 91-102 - [c9]Jason Thompson, Haifeng Zhao, Sachith Seneviratne, Rohan Byrne, Rajith Vidanaarachchi, Roderick J. McClure:
A Template for Transfer of NetLogo Models to High-Performance Computing Environments for Enhanced Real-World Decision-Support. ESSA 2022: 567-576 - [c8]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, Sumaiya Ahmad, Suraiya Jabin:
IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C). IJCB 2022: 1-7 - [c7]Vipula Dissanayake, Sachith Seneviratne, Hussel Suriyaarachchi, Elliott Wen, Suranga Nanayakkara:
Self-supervised Representation Fusion for Speech and Wearable Based Emotion Recognition. INTERSPEECH 2022: 3598-3602 - [i8]Sachith Seneviratne, Kerry A. Nice, Jasper S. Wijnands, Mark Stevenson, Jason Thompson:
Self-Supervision, Remote Sensing and Abstraction: Representation Learning Across 3 Million Locations. CoRR abs/2203.04445 (2022) - [i7]Sachith Seneviratne, Damith A. Senanayake, Sanka Rasnayaka, Rajith Vidanaarachchi, Jason Thompson:
DALLE-URBAN: Capturing the urban design expertise of large text to image transformers. CoRR abs/2208.04139 (2022) - [i6]Sachith Seneviratne, Ridwan Shariffdeen, Sanka Rasnayaka, Nuran Kasthuriarachchi:
Self-Supervised Vision Transformers for Malware Detection. CoRR abs/2208.07049 (2022) - [i5]Sachith Seneviratne, Jasper S. Wijnands, Kerry A. Nice, Haifeng Zhao, Branislava Godic, Suzanne Mavoa, Rajith Vidanaarachchi, Mark Stevenson, Leandro García, Ruth F. Hunter, Jason Thompson:
Urban feature analysis from aerial remote sensing imagery using self-supervised and semi-supervised computer vision. CoRR abs/2208.08047 (2022) - [i4]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, Sumaiya Ahmad, Suraiya Jabin:
IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C). CoRR abs/2210.03072 (2022) - 2021
- [b1]Sachith Seneviratne:
Automatic Code Generation for Statistical Models with Augmentation and Collapsing. Monash University, Australia, 2021 - [c6]Sachith Seneviratne:
Contrastive Representation Learning for Natural World Imagery: Habitat prediction for 30, 000 species. CLEF (Working Notes) 2021: 1639-1648 - [c5]Sachith Seneviratne, Nuran Kasthuriarachchi, Sanka Rasnayaka:
Multi-Dataset Benchmarks for Masked Identification using Contrastive Representation Learning. DICTA 2021: 1-8 - [c4]Sachith Seneviratne, Kerry A. Nice, Jasper S. Wijnands, Mark Stevenson, Jason Thompson:
Self-Supervision. Remote Sensing and Abstraction: Representation Learning Across 3 Million Locations. DICTA 2021: 1-8 - [c3]Fadi Boutros, Naser Damer, Jan Niklas Kolf, Kiran B. Raja, Florian Kirchbuchner, Raghavendra Ramachandra, Arjan Kuijper, Pengcheng Fang, Chao Zhang, Fei Wang, David Montero, Naiara Aginako, Basilio Sierra, Marcos Nieto, Mustafa Ekrem Erakin, Ugur Demir, Hazim Kemal Ekenel, Asaki Kataoka, Kohei Ichikawa, Shizuma Kubo, Jie Zhang, Mingjie He, Dan Han, Shiguang Shan, Klemen Grm, Vitomir Struc, Sachith Seneviratne, Nuran Kasthuriarachchi, Sanka Rasnayaka, Pedro C. Neto, Ana Filipa Sequeira, João Ribeiro Pinto, Mohsen Saffari, Jaime S. Cardoso:
MFR 2021: Masked Face Recognition Competition. IJCB 2021: 1-10 - [i3]Sachith Seneviratne, Nuran Kasthuriaarachchi, Sanka Rasnayaka:
Multi-Dataset Benchmarks for Masked Identification using Contrastive Representation Learning. CoRR abs/2106.05596 (2021) - [i2]Fadi Boutros, Naser Damer, Jan Niklas Kolf, Kiran B. Raja, Florian Kirchbuchner, Raghavendra Ramachandra, Arjan Kuijper, Pengcheng Fang, Chao Zhang, Fei Wang, David Montero, Naiara Aginako, Basilio Sierra, Marcos Nieto, Mustafa Ekrem Erakin, Ugur Demir, Hazim Kemal Ekenel, Asaki Kataoka, Kohei Ichikawa, Shizuma Kubo, Jie Zhang, Mingjie He, Dan Han, Shiguang Shan, Klemen Grm, Vitomir Struc, Sachith Seneviratne, Nuran Kasthuriaarachchi, Sanka Rasnayaka, Pedro C. Neto, Ana Filipa Sequeira, João Ribeiro Pinto, Mohsen Saffari, Jaime S. Cardoso:
MFR 2021: Masked Face Recognition Competition. CoRR abs/2106.15288 (2021) - [i1]Sachith Seneviratne, Nuran Kasthuriarachchi, Sanka Rasnayaka, Danula Hettiachchi, Ridwan Shariffdeen:
Does a Face Mask Protect my Privacy?: Deep Learning to Predict Protected Attributes from Masked Face Images. CoRR abs/2112.07879 (2021)
2010 – 2019
- 2017
- [c2]Sachini Herath, Vipula Dissanayake, Sanka Rasnayaka, Sachith Seneviratne, Rajith Vidanaarachchi, Chandana Gamage:
Generation of intermediate viewpoints for scalable adaptation of real world environments for virtual reality. ICIIS 2017: 1-6 - 2015
- [c1]Vipula Dissanayake, Sachini Herath, Sanka Rasnayaka, Sachith Seneviratne, Rajith Vidanaarachchi, Chandana Gamage:
Quantitative and Qualitative Evaluation of Performance and Robustness of Image Stitching Algorithms. DICTA 2015: 1-6
Coauthor Index
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