Publications
An up to date list of my publications is on my google scholar page. This page contains the links to code and pre-print pdfs for some of the publications.
2023
Chuah, W., Tennakoon, R., Hoseinnezhad, R., Suter, D. and Bab-Hadiashar, A., “An Information-Theoretic Method to Automatic Shortcut Avoidance and Domain Generalization for Dense Prediction Tasks”. IEEE transactions on pattern analysis and machine intelligence, 2023.
[PDF][Code]Mahapatra, D., Korevaar, S., Bozorgtabar, B. and Tennakoon, R. “Unsupervised domain adaptation using feature disentanglement and GCNs for medical image classification”. In Computer Vision–ECCV 2022 Workshops, Proceedings, Part VII (pp. 735-748) 2022.
[Link].
🏅 Best paper award (Silver), Workshop on AI-enabled Medical Image Analysis (AIMIA)Muthu, S., Tennakoon, R., Rathnayake, T., Hoseinnezhad, R., Suter, D. and Bab-Hadiashar, A., “Generalized framework for image and video object segmentation using affinity learning and message passing GNNS”. Computer Vision and Image Understanding, 2023.
[Link].Korevaar, S., Tennakoon, R. and Bab-Hadiashar, A., “Failure to Achieve Domain Invariance With Domain Generalization Algorithms: An Analysis in Medical Imaging”. IEEE Access, 2023.
[PDF].Muthu, S., Tennakoon, R., Hoseinnezhad, R. and Bab-Hadiashar, A., “A survey of CNN-based techniques for scene flow estimation” IEEE Access, 2023.
[PDF]Aidan Blair , Amirali Khodadadian Gostar , Ruwan Bandara Tennakoon , Ali Bab-Hadiashar , Reza Hoseinnezhad. “Temporal Multiple Rotation Averaging on a Distributed Dynamic Network”. IEEE Transactions on Signal and Information Processing over Networks, 2023.
[Link]Papangkorn Jessadatavornwong, Ruwan Tennakoon, Alireza Bab-Hadiashar, Raj Das, Adrian P. Mouritz, Mark A. Easton, “Defect detectability assessment of notches in a self-piercing rivet using X-ray computed tomography”, NDT & E International, 2023.
[Link]Ayman Mukhaimar, Ruwan Tennakoon, Nik Rajic, Fabio Zambetta, Pier Marzocca, Reza Hoseinnezhad, Chris Brooks, Stephen Van Der Velden, and Kheang Khauv. “Stress visualization in geometrically complex structures using Thermoelastic Stress Analysis and Augmented Reality”. ACM Symposium on Virtual Reality Software and Technology (VRST ‘23). 2023.
[PDF]
2022
Chuah, W., Tennakoon, R., Hoseinnezhad, R., Bab-Hadiashar, A. and Suter, D., “ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks”. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[Link][Code] [Video]Zhang, E., Suter, D., Tennakoon, R., Chin, T.J., Bab-Hadiashar, A., Truong, G. and Gilani, S.Z., “Maximum Consensus by Weighted Influences of Monotone Boolean Functions”. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[Link]Chuah, W., Tennakoon, R., Hoseinnezhad, R., Suter, D. and Bab-Hadiashar, A.,. Semantic Guided Long Range Stereo Depth Estimation for Safer Autonomous Vehicle Applications. IEEE Transactions on Intelligent Transportation Systems, 2022.
[PDF]Acharya, D., Tennakoon, R., Muthu, S., Khoshelham, K., Hoseinnezhad, R. and Bab-Hadiashar, A.,. Single-image localisation using 3D models: Combining hierarchical edge maps and semantic segmentation for domain adaptation. Automation in Construction, 2022.
[Link]Muthu, S., Tennakoon, R., Hoseinnezhad, R. and Bab-Hadiashar, A.,. Unsupervised video object segmentation: an affinity and edge learning approach. International Journal of Machine Learning and Cybernetics, 2022.
[Link]Mukhaimar, A., Tennakoon, R., Lai, C.Y., Hoseinnezhad, R. and Bab-Hadiashar, A.,. Robust Object Classification Approach using Spherical Harmonics. IEEE Access, 2022.
[PDF]Mukhaimar, A., Tennakoon, R., Hoseinnezhad, R., Lai, C.Y. and Bab-Hadiashar, A.,. Robust Pooling Through The Data Mode. Intelligent Systems with Applications, 2022.
[Link]Blair, A., Gostar, A.K., Tennakoon, R., Bab-Hadiashar, A., Li, X., Palmer, J. and Hoseinnezhad, R.,. Distributed Multi-Sensor Control for Multi-Target Tracking. In 11th International Conference on Control, Automation and Information Sciences (ICCAIS), 2022.
[Link]
2021
Tennakoon, R., Suter, D., Zhang, E., Chin, T.J. and Bab-Hadiashar, A., 2021. “Consensus Maximisation Using Influences of Monotone Boolean Functions”. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[Link][Code] [Video]Korevaar, S., Tennakoon, R., Page, M., Brotchie, P., Thangarajah, J., Florescu, C., Sutherland, T., Kam, N.M. and Bab-Hadiashar, A. “Incidental detection of prostate cancer with computed tomography scans”. Scientific Reports, 2021.
[Link] [Video]Chuah, W., Tennakoon, R., Hoseinnezhad, R. and Bab-Hadiashar, A. “Deep Learning-Based Incorporation of Planar Constraints for Robust Stereo Depth Estimation in Autonomous Vehicle Applications”. IEEE Transactions on Intelligent Transportation Systems, 2021.
[Link]Ali, S., Mayo, S., Gostar, A.K., Tennakoon, R., Bab-Hadiashar, A., MCann, T., Tuhumury, H. and Favaro, J. “Automatic segmentation for synchrotron-based imaging of porous bread dough using deep learning approach”. Journal of Synchrotron Radiation, 2021.
[Link]Nisa, H., Ciesielski, V., Thom, J. and Tennakoon, R., December. “Annotation of struck-out text in handwritten documents”. In Proceedings of the 25th Australasian Document Computing Symposium .
[Link]
2020
Muthu, S., Tennakoon, R., Rathnayake, T., Hoseinnezhad, R., Suter, D. and Bab-Hadiashar, A. “Motion Segmentation of RGB-D Sequences: Combining Semantic and Motion Information Using Statistical Inference”. IEEE Transactions on Image Processing, 2020.
[PDF]Gostar, A.K., Rathnayake, T., Tennakoon, R., Bab-Hadiashar, A., Battistelli, G., Chisci, L. and Hoseinnezhad, R. “Centralized Cooperative Sensor Fusion for Dynamic Sensor Network With Limited Field-of-View via Labeled Multi-Bernoulli Filter”. IEEE Transactions on Signal Processing, 2020.
[Link]Rathnayake, T., Khodadadian Gostar, A., Hoseinnezhad, R., Tennakoon, R. and Bab-Hadiashar, A. On-line visual tracking with occlusion handling. Sensors. [PDF]
2019
Tennakoon, R., Bortsova, G., Ørting, S., Gostar, A.K., Wille, M.M., Saghir, Z., Hoseinnezhad, R., de Bruijne, M. and Bab-Hadiashar, A. “Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem”. IEEE Transactions on Medical Imaging, 2019.
[PDF] [Code]Bogunović, H. et al. “RETOUCH: The retinal OCT fluid detection and segmentation benchmark and challenge”. IEEE transactions on medical imaging, 2019.
[PDF] [Link]Mukhaimar, A., Tennakoon, R., Lai, C.Y., Hoseinnezhad, R. and Bab-Hadiashar, A. “PL-Net3d: Robust 3D Object Class Recognition Using Geometric Models”. IEEE Access, 2019.
[PDF] [Code]Mukhaimar, A., Tennakoon, R., Lai, C.Y., Hoseinnezhad, R. and Bab-Hadiashar, A. “Comparative analysis of 3D shape recognition in the presence of data inaccuracies”. In 2019 IEEE International Conference on Image Processing (ICIP). 2019.
[Link]Gostar, A.K., Fu, C., Chuah, W., Hossain, M.I., Tennakoon, R., Bab-Hadiashar, A. and Hoseinnezhad, R., 2019. State transition for statistical SLAM using planar features in 3D point clouds. Sensors, 19(7), p.1614.
[PDF]
2018
Tennakoon, R., Sadri, A., Hoseinnezhad, R. and Bab-Hadiashar, A. “Effective sampling: Fast segmentation using robust geometric model fitting”. IEEE Transactions on Image Processing, 2018.
[PDF] [Code]Sadri, A., Tennakoon, R., Hosseinnezhad, R. and Bab-Hadiashar, A. “Robust visual data segmentation: Sampling from distribution of model parameters”. Computer Vision and Image Understanding, 2018.
[Link]Tennakoon, R., Gostar, A.K., Hoseinnezhad, R., de-Bruijne, M. and Bab-Hadiashar, A. “Deep multi-instance volumetric image classification with extreme value distributions”. In Asian Conference on Computer Vision, 2018.
[Link]Tennakoon, R., Gostar, A.K., Hoseinnezhad, R. and Bab-Hadiashar, A. “Retinal fluid segmentation in oct images using adversarial loss based convolutional neural networks”. In 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).
[Link] [Code]
2017
Roy, P., Tennakoon, R., Cao, K., Sedai, S., Mahapatra, D., Maetschke, S. and Garnavi, R. “A novel hybrid approach for severity assessment of diabetic retinopathy in colour fundus images”. In 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).
[Link]Sedai, S., Tennakoon, R., Roy, P., Cao, K. and Garnavi, R. “Multi-stage segmentation of the fovea in retinal fundus images using fully convolutional neural networks”. In 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).
[Link]
2016
Tennakoon, R.B., Bab-Hadiashar, A., Cao, Z., Hoseinnezhad, R. and Suter, D. “Robust model fitting using higher than minimal subset sampling”. IEEE transactions on pattern analysis and machine intelligence, 2016.
[PDF]Tennakoon, R., Mahapatra, D., Roy, P., Sedai, S. and Garnavi, R. “Image quality classification for DR screening using convolutional neural networks”. The Ophthalmic Medical Image Analysis International Workshop (OMIA) 2016.
[PDF]
2015
- Tennakoon, R., Bab-Hadiashar, A. and Cao, Z. “Nonlinear Approaches in Three Dimensional Medical Image Registration”. In Nonlinear Approaches in Engineering Applications (pp. 251-280). Springer, Cham.
[Link]
2013
Tennakoon, R.B., Bab-Hadiashar, A., Cao, Z. and de Bruijne, M. “Nonrigid registration of volumetric images using ranked order statistics”. IEEE transactions on medical imaging, 2013.
[PDF]Bab-Hadiashar, A., Tennakoon, R.B. and deBruijne, M. “Quantification of smoothing requirement for 3D optic flow calculation of volumetric images”. IEEE Transactions on Image Processing, 2013.
[PDF]Tennakoon, R.B., Bab-Hadiashar, A., de Bruijne, M. and Cao, Z. “Efficient nonrigid registration using ranked order statistics”. In 10th International Symposium on Biomedical Imaging (ISBI), 2013.
[Link]Tennakoon, R.B., Bab-Hadiashar, A., Suter, D. and Cao, Z. “Robust data modelling using thin plate splines”. In 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA).
[Link] [Code]