Browsing Department of Physical Science by Author "Pinidiyaarachchi, U.A.J."

Browsing Department of Physical Science by Author "Pinidiyaarachchi, U.A.J."

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  • Classification of Vegetable Plant Pests using Deep Transfer Learning 
    Vijayakanthan, G.; Kokul, T.; Pakeerathan, S.; Pinidiyaarachchi, U.A.J. (IEEE, 2021-08)
    Sri Lankan farmers face several issues and among them crop loss due to insect pest infestation is the major hurdle. Several approaches have been proposed to detect the pest class by using computer vision and machine learning ...
  • Deep Match Tracker Classifying when Dissimilar, Similarity Matching when Not 
    Kokul, T.; Fookes, C.; Sridharan, S.; Ramanan, A.; Pinidiyaarachchi, U.A.J. (IEEE, IEEE International Conference on Image Processing (ICIP)., 07-10-18)
    Visual tracking frameworks employing ConvolutionalNeural Networks (CNNs) have shown state-of-the-art performancedue to their hierarchical feature representation. Whileclassification and update based deep neural net tracking ...
  • Discriminative Patterns of White Matter Changes in Alzheimer's 
    Subaramya, S.; Kumaralingam, L.; Kokul, T.; Pinidiyaarachchi, U.A.J.; Nagulan, R. (Elsevier, 2023-01)
    Changes in structural connectivity of the Alzheimer's brain have not been widely studied utilizing cutting-edge methodologies. This study develops an efficient structural connectome-based convolutional neural network (CNN) ...
  • Gate connected convolutional neural network for object tracking 
    Kokul, T.; Fookes, C.; Sridharan, C.; Ramanan, A.; Pinidiyaarachchi, U.A.J. (IEEE, IEEE International Conference on Image Processing (ICIP), 17-09-17)
    Convolutional neural networks (CNNs) have been employedin visual tracking due to their rich levels of feature representation.While the learning capability of a CNN increaseswith its depth, unfortunately spatial information ...
  • Online Multi-Person Tracking-by-detection Method Using ACF and Particle Filter 
    Kokul, T.; Ramanan, A.; Pinidiyaarachchi, U.A.J. (IEEE, IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS), 12-12-15)
    Automatically detecting and tracking multiple persons in videos is one of the main research interests in computer vision based applications. This paper presents a tracking-by-detection approach for tracking people in dynamic ...

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