Ruwan Tennakoon

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Monotone Boolean Functions, Feasibility/Infeasibility, LP-type problems and MaxCon pdf

Tat-Jun Chin, David Suter, Ruwan Tennakoon, 2020, ArXiv.

Machine Vision-Enabled Traffic Controller for Safer and Smoother Traffic Flow Around Construction Sites

Ruwan Tennakoon, Alireza Bab-Hadiashar, Reza Hoseinnezhad, 2019, 2019 IEEE Intelligent Transportation Systems Conference (ITSC).

Random Finite Set-Based Anomaly Detection for Safety Monitoring in Construction Sites

Ruwan Tennakoon, Alireza Bab-Hadiashar, Reza Hoseinnezhad, 2019, IEEE Access.

Robust Object Classification Approach Using Spherical Harmonics pdf

Ruwan Tennakoon, Alireza Bab-Hadiashar, Reza Hoseinnezhad, 2020, IEEE Access.

Long Range Stereo Matching by Learning Depth and Disparity pdf

Ruwan Tennakoon, Alireza Bab-Hadiashar, WeiQin Chuah, 2020, ArXiv.

Effective Sampling: Fast Segmentation Using Robust Geometric Model Fitting

Ruwan Tennakoon, Alireza Bab-Hadiashar, Reza Hoseinnezhad, 2017, IEEE Transactions on Image Processing.

Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem

Marleen de Bruijne, Ruwan Tennakoon, Alireza Bab-Hadiashar, 2020, IEEE Transactions on Medical Imaging.

Motion Segmentation of RGB-D Sequences: Combining Semantic and Motion Information Using Statistical Inference

David Suter, Ruwan Tennakoon, Alireza Bab-Hadiashar, 2020, IEEE Transactions on Image Processing.

Comparative Analysis of 3D Shape Recognition in the Presence of Data Inaccuracies

Ruwan Tennakoon, Alireza Bab-Hadiashar, Chow Yin Lai, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Adjusting Bias in Long Range Stereo Matching: A semantics guided approach

David Suter, Ruwan Tennakoon, Alireza Bab-Hadiashar, 2020 .

PL-Net3d: Robust 3D Object Class Recognition Using Geometric Models

Ruwan Tennakoon, Alireza Bab-Hadiashar, Reza Hoseinnezhad, 2019, IEEE Access.

Visual Inspection of Storm-Water Pipe Systems Using Deep Convolutional Neural Networks

Ruwan Tennakoon, Alireza Bab-Hadiashar, Huu Tran, 2018 .

RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge

Keshab K. Parhi, Ulas Bagci, Jayanthi Sivaswamy, 2019, IEEE Transactions on Medical Imaging.

A deep learning approach to handwritten text recognition in the presence of struck-out text

James A. Thom, Ruwan Tennakoon, Vic Ciesielski, 2019, 2019 International Conference on Image and Vision Computing New Zealand (IVCNZ).

Rotation Averaging with Attention Graph Neural Networks pdf

Ruwan Tennakoon, Alireza Bab-Hadiashar, Joshua Thorpe, 2020, ArXiv.

Image Quality Classification for DR Screening Using Convolutional Neural Networks

Dwarikanath Mahapatra, Ruwan Tennakoon, Rahil Garnavi, 2016 .

Maximum Consensus by Weighted Influences of Monotone Boolean Functions pdf

Tat-Jun Chin, David Suter, Syed Zulqarnain Gilani, 2021, ArXiv.

Achieving Domain Robustness in Stereo Matching Networks by Removing Shortcut Learning pdf

David Suter, Ruwan Tennakoon, Alireza Bab-Hadiashar, 2021, ArXiv.

Consensus Maximisation Using Influences of Monotone Boolean Functions

Tat-Jun Chin, David Suter, Ruwan Tennakoon, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Centralized Cooperative Sensor Fusion for Dynamic Sensor Network With Limited Field-of-View via Labeled Multi-Bernoulli Filter

Giorgio Battistelli, Luigi Chisci, Ruwan Tennakoon, 2021, IEEE Transactions on Signal Processing.

Deep Learning-Based Incorporation of Planar Constraints for Robust Stereo Depth Estimation in Autonomous Vehicle Applications

Ruwan Tennakoon, Alireza Bab-Hadiashar, Reza Hoseinnezhad, 2021, IEEE Transactions on Intelligent Transportation Systems.

ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks

David Suter, Ruwan Tennakoon, Alireza Bab-Hadiashar, 2022 .

Unsupervised video object segmentation: An affinity and edge learning approach.

Ruwan Tennakoon, Alireza Bab-Hadiashar, Reza Hoseinnezhad, 2021 .

Retinal Fluid Segmentation and Classification in OCT Images Using Adversarial Loss Based CNN

Ruwan Tennakoon, Alireza Bab-Hadiashar, Reza Hoseinnezhad, 2017 .