Ruwan B. Tennakoon
Orcid: 0000-0001-8909-5728
According to our database1,
Ruwan B. Tennakoon
authored at least 54 papers
between 2013 and 2024.
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Bibliography
2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
2023
Generalized framework for image and video object segmentation using affinity learning and message passing GNNS.
Comput. Vis. Image Underst., November, 2023
An Information-Theoretic Method to Automatic Shortcut Avoidance and Domain Generalization for Dense Prediction Tasks.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2023
IEEE Trans. Signal Inf. Process. over Networks, 2023
CoRR, 2023
Failure to Achieve Domain Invariance With Domain Generalization Algorithms: An Analysis in Medical Imaging.
IEEE Access, 2023
Stress visualization in geometrically complex structures using Thermoelastic Stress Analysis and Augmented Reality.
Proceedings of the 29th ACM Symposium on Virtual Reality Software and Technology, 2023
Preliminary Study of Pseudo-PET Image Synthesis of Glucose Metabolism from Early-Phase PET Images of an Uncorrelated Radiotracer.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023
2022
Semantic Guided Long Range Stereo Depth Estimation for Safer Autonomous Vehicle Applications.
IEEE Trans. Intell. Transp. Syst., 2022
Deep Learning-Based Incorporation of Planar Constraints for Robust Stereo Depth Estimation in Autonomous Vehicle Applications.
IEEE Trans. Intell. Transp. Syst., 2022
Int. J. Mach. Learn. Cybern., 2022
CoRR, 2022
Proceedings of the 11th International Conference on Control, 2022
Unsupervised Domain Adaptation Using Feature Disentanglement and GCNs for Medical Image Classification.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Centralized Cooperative Sensor Fusion for Dynamic Sensor Network With Limited Field-of-View via Labeled Multi-Bernoulli Filter.
IEEE Trans. Signal Process., 2021
Achieving Domain Robustness in Stereo Matching Networks by Removing Shortcut Learning.
CoRR, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the ADCS '21: Australasian Document Computing Symposium, 2021
2020
Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem.
IEEE Trans. Medical Imaging, 2020
Motion Segmentation of RGB-D Sequences: Combining Semantic and Motion Information Using Statistical Inference.
IEEE Trans. Image Process., 2020
Cooperative sensor fusion in centralized sensor networks using Cauchy-Schwarz divergence.
Signal Process., 2020
CoRR, 2020
2019
IEEE Trans. Medical Imaging, 2019
Information Fusion for Industrial Mobile Platform Safety via Track-Before-Detect Labeled Multi-Bernoulli Filter.
Sensors, 2019
Sensors, 2019
IEEE Access, 2019
Random Finite Set-Based Anomaly Detection for Safety Monitoring in Construction Sites.
IEEE Access, 2019
A deep learning approach to handwritten text recognition in the presence of struck-out text.
Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand, 2019
Machine Vision-Enabled Traffic Controller for Safer and Smoother Traffic Flow Around Construction Sites.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
2018
IEEE Trans. Image Process., 2018
Comput. Vis. Image Underst., 2018
Retinal fluid segmentation in OCT images using adversarial loss based convolutional neural networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Visual Inspection of Storm-Water Pipe Systems using Deep Convolutional Neural Networks.
Proceedings of the 15th International Conference on Informatics in Control, 2018
Non-Bayesian Track-Before-Detect Using Cauchy-Schwarz Divergence-Based Information Fusion.
Proceedings of the 21st International Conference on Information Fusion, 2018
Deep Multi-instance Volumetric Image Classification with Extreme Value Distributions.
Proceedings of the Computer Vision - ACCV 2018, 2018
2017
Multi-stage segmentation of the fovea in retinal fundus images using fully Convolutional Neural Networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
A novel hybrid approach for severity assessment of Diabetic Retinopathy in colour fundus images.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the IEEE International Conference on Mechatronics, 2017
2016
IEEE Trans. Pattern Anal. Mach. Intell., 2016
MCMC based sampling technique for robust multi-model fitting and visual data segmentation.
Proceedings of the Sixth International Conference on Image Processing Theory, 2016
2014
IEEE Trans. Medical Imaging, 2014
2013
Quantification of Smoothing Requirement for 3D Optic Flow Calculation of Volumetric Images.
IEEE Trans. Image Process., 2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013