STAFF PROFILE
Dr Ruwan Tennakoon
Position:
Senior Lecturer
College / Portfolio:
STEM College
School / Department:
STEM|School of Computing Technologies
Phone:
+61399253306
Email:
ruwan.tennakoon@rmit.edu.au
Campus:
City Campus
Contact me about:
Research supervision
- Chuah, W.,Tennakoon, R.,Hoseinnezhad, R.,Bab-Hadiashar, A. (2021). Deep Learning-Based Incorporation of Planar Constraints for Robust Stereo Depth Estimation in Autonomous Vehicle Applications In: IEEE Transactions on Intelligent Transportation Systems, , 1 - 12
- Khodadadian Gostar, A.,Rathnayake, T.,Tennakoon, R.,Bab-Hadiashar, A.,Battistelli, G.,Chisci, L.,Hoseinnezhad, R. (2021). Centralized Cooperative Sensor Fusion for Dynamic Sensor Network with Limited Field-of-View via Labeled Multi-Bernoulli Filter In: IEEE Transactions on Signal Processing, 69, 878 - 891
- Korevaar, S.,Tennakoon, R.,Page, M.,Brotchie, P.,Thangarajah, J.,Florescu, C.,Sutherland, T.,Kam, N.,Bab-Hadiashar, A. (2021). Incidental detection of prostate cancer with computed tomography scans In: Scientific Reports, 11, 1 - 10
- Tennakoon, R.,Suter, D.,Zhang, E.,Chin, T.,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), Virtual, 19-25 June 2021
- Ali, S.,Mayo, S.,Khodadadian Gostar, A.,Tennakoon, R.,Bab-Hadiashar, A.,Mcann, T.,Tuhumury, H.,Favaro, J. (2021). Automatic segmentation for synchrotron-based imaging of porous bread dough using deep learning approach In: Journal of Synchrotron Radiation, 28, 566 - 575
- Khodadadian Gostar, A.,Rathnayake, T.,Tennakoon, R.,Bab-Hadiashar, A.,Battistelli, G.,Chisci, L.,Hoseinnezhad, R. (2020). Cooperative sensor fusion in centralized sensor networks using Cauchy–Schwarz divergence In: Signal Processing, 167, 1 - 12
- Rathnayake, T.,Khodadadian Gostar, A.,Hoseinnezhad, R.,Tennakoon, R.,Bab-Hadiashar, A. (2020). On-line visual tracking with occlusion handling In: Sensors, 20, 1 - 23
- Muthu, S.,Tennakoon, R.,Rathnayake, T.,Hoseinnezhad, R.,Suter, D.,Bab-Hadiashar, A. (2020). Motion Segmentation of RGB-D Sequences: Combining Semantic and Motion Information Using Statistical Inference In: IEEE Transactions on Image Processing, 29, 5557 - 5570
- Tennakoon, R.,Bortsova, G.,Ørting, S.,Khodadadian Gostar, A.,Wille, M.,Saghir, Z.,Hoseinnezhad, R.,de Bruijne, M.,Bab-Hadiashar, A. (2020). Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem In: IEEE Transactions on Medical Imaging, 39, 854 - 865
- Tennakoon, R.,Khodadadian Gostar, A.,Hoseinnezhad, R.,de-Bruijne, M.,Bab-Hadiashar, A. (2019). Deep Multi-instance Volumetric Image Classification with Extreme Value Distributions In: Proceedings of the 14th Asian Conference on Computer Vision (ACCV 2018), Perth, Australia, 2 - 6 December 2018
Computer vision, Machine learning
3 PhD Completions and 1 Masters by Research Completions5 PhD Current Supervisions
- Automated Integrity Assessment of Self-Piercing Rivet Joints: i4.0 Approach. Funded by: ARC Linkage Project Grants 2019 from (2020 to 2023)
- Automated inspection system for polypropylene sheet extrusion. Funded by: Innovation Connections grant - Cat 1 from (2020 to 2022)