Amirthalingam Ramanan

According to our database, Amirthalingam Ramanan authored at least 20 papers between 2009 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

Insights into Artificial Intelligence Bias: Implications for Agriculture.

Mathuranathan Mayuravaani, Amirthalingam Ramanan, Maneesha Perera, Damith A. Senanayake, Rajith Vidanaarachchi

Digit. Soc., December, 2024

Optimized Information Flow for Transformer Tracking.

Janani Kugarajeevan, Thanikasalam Kokul, Amirthalingam Ramanan, Subha Fernando

CoRR, 2024

2023

A single-stage fashion clothing detection using multilevel visual attention.

Majuran Shajini, Amirthalingam Ramanan

Vis. Comput., December, 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

A knowledge-sharing semi-supervised approach for fashion clothes classification and attribute prediction.

Majuran Shajini, Amirthalingam Ramanan

Vis. Comput., 2022

Pooling in convolutional neural networks for medical image analysis: a survey and an empirical study.

Rajendran Nirthika, Siyamalan Manivannan, Amirthalingam Ramanan, Ruixuan Wang

Neural Comput. Appl., 2022

Siamese network based fine grained classification for Diabetic Retinopathy grading.

Rajendran Nirthika, Siyamalan Manivannan, Amirthalingam Ramanan

Biomed. Signal Process. Control., 2022

2021

An improved landmark-driven and spatial-channel attentive convolutional neural network for fashion clothes classification.

Majuran Shajini, Amirthalingam Ramanan

Vis. Comput., 2021

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

Loss functions for optimizing Kappa as the evaluation measure for classifying diabetic retinopathy and prostate cancer images.

Rajendran Nirthika, Siyamalan Manivannan, Amirthalingam Ramanan

Proceedings of the 15th IEEE International Conference on Industrial and Information Systems, 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

A feature-driven hierarchical classification approach to emotions in speeches using SVMs.

Majuran Shajini, Amirthalingam Ramanan

Proceedings of the 2017 IEEE International Conference on Industrial and Information Systems, 2017

2016

Are Large Scale Training Images or Discriminative Features Important for Codebook Construction?.

Veerapathirapillai Vinoharan, Amirthalingam Ramanan

Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

2015

Creating Compact and Discriminative Visual Vocabularies Using Visual Bits.

T. Kirishanthy, Amirthalingam Ramanan

Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

2012

A Review of Codebook Models in Patch-Based Visual Object Recognition.

Amirthalingam Ramanan, Mahesan Niranjan

J. Signal Process. Syst., 2012

2010

Designing a resource-allocating codebook for patch-based visual object recognition.

Amirthalingam Ramanan

PhD thesis, 2010

2009

Sequential Hierarchical Pattern Clustering.

Bassam Farran, Amirthalingam Ramanan, Mahesan Niranjan

Proceedings of the Pattern Recognition in Bioinformatics, 2009