Thanikasalam Kokul

According to our database, Thanikasalam Kokul authored at least 8 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Selective Information Flow for Transformer Tracking.

Janani Kugarajeevan, Thanikasalam Kokul, Amirthalingam Ramanan, Subha Fernando

Expert Syst. Appl., 2025

2024

Optimized Information Flow for Transformer Tracking.

Janani Kugarajeevan, Thanikasalam Kokul, Amirthalingam Ramanan, Subha Fernando

CoRR, 2024

2023

Transformers in Single Object Tracking: An Experimental Survey.

Janani Thangavel, Thanikasalam Kokul, Amirthalingam Ramanan, Subha Fernando

CoRR, 2023

Transformers in Single Object Tracking: An Experimental Survey.

Janani Kugarajeevan, Thanikasalam Kokul, Amirthalingam Ramanan, Subha Fernando

IEEE Access, 2023

2022

Segmentation of Whole-Brain Tractography: A Deep Learning Algorithm Based on 3D Raw Curve Points.

Logiraj Kumaralingam, Thanikasalam Kokul, Sittampalam Sotheeswaran, Jeyasuthan Mahadevan, Nagulan Ratnarajah

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2020

Target-Specific Siamese Attention Network for Real-Time Object Tracking.

Thanikasalam Kokul, Clinton Fookes, Sridha Sridharan, Amirthalingam Ramanan, Amalka Pinidiyaarachchi

IEEE Trans. Inf. Forensics Secur., 2020

2018

Deep Match Tracker: Classifying when Dissimilar, Similarity Matching when Not.

Thanikasalam Kokul, Clinton Fookes, Sridha Sridharan, Amirthalingam Ramanan, U. A. J. Pinidiyaarachchi

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

Gate connected convolutional neural network for object tracking.

Thanikasalam Kokul, Clinton Fookes, Sridha Sridharan, Amirthalingam Ramanan, U. A. J. Pinidiyaarachchi

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017