Sequential Hierarchical Pattern Clustering. - Bassam Farran; Amirthalingam Ramanan; Mahesan Niranjan (PRIB, 2009)

Designing a resource-allocating codebook for patch-based visual object recognition. - Amirthalingam Ramanan (2010)

A Review of Codebook Models in Patch-Based Visual Object Recognition. - Amirthalingam Ramanan; Mahesan Niranjan (J. Signal Process. Syst., 2012)

Creating Compact and Discriminative Visual Vocabularies Using Visual Bits. - T. Kirishanthy; Amirthalingam Ramanan (DICTA, 2015)

Are Large Scale Training Images or Discriminative Features Important for Codebook Construction?. - Veerapathirapillai Vinoharan; Amirthalingam Ramanan (ICPRAM, 2016)

A feature-driven hierarchical classification approach to emotions in speeches using SVMs. - Majuran Shajini; Amirthalingam Ramanan (ICIIS, 2017)

Gate connected convolutional neural network for object tracking. - Thanikasalam Kokul; Clinton Fookes; Sridha Sridharan; Amirthalingam Ramanan; U. A. J. Pinidiyaarachchi (ICIP, 2017)

Deep Match Tracker: Classifying when Dissimilar, Similarity Matching when Not. - Thanikasalam Kokul; Clinton Fookes; Sridha Sridharan; Amirthalingam Ramanan; U. A. J. Pinidiyaarachchi (ICIP, 2018)

Loss functions for optimizing Kappa as the evaluation measure for classifying diabetic retinopathy and prostate cancer images. - Rajendran Nirthika; Siyamalan Manivannan; Amirthalingam Ramanan (ICIIS, 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)

An improved landmark-driven and spatial-channel attentive convolutional neural network for fashion clothes classification. - Majuran Shajini; Amirthalingam Ramanan (Vis. Comput., 2021)

Siamese network based fine grained classification for Diabetic Retinopathy grading. - Rajendran Nirthika; Siyamalan Manivannan; Amirthalingam Ramanan (Biomed. Signal Process. Control., 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)

A knowledge-sharing semi-supervised approach for fashion clothes classification and attribute prediction. - Majuran Shajini; Amirthalingam Ramanan (Vis. Comput., 2022)

Transformers in Single Object Tracking: An Experimental Survey. - Janani Kugarajeevan; Thanikasalam Kokul; Amirthalingam Ramanan; Subha Fernando (IEEE Access, 2023)

Transformers in Single Object Tracking: An Experimental Survey. - Janani Thangavel; Thanikasalam Kokul; Amirthalingam Ramanan; Subha Fernando (CoRR, 2023)

A single-stage fashion clothing detection using multilevel visual attention. - Majuran Shajini; Amirthalingam Ramanan (Vis. Comput., 2023)

Optimized Information Flow for Transformer Tracking. - Janani Kugarajeevan; Thanikasalam Kokul; Amirthalingam Ramanan; Subha Fernando (CoRR, 2024)

Insights into Artificial Intelligence Bias: Implications for Agriculture. - Mathuranathan Mayuravaani; Amirthalingam Ramanan; Maneesha Perera; Damith A. Senanayake; Rajith Vidanaarachchi (Digit. Soc., 2024)

Selective Information Flow for Transformer Tracking. - Janani Kugarajeevan; Thanikasalam Kokul; Amirthalingam Ramanan; Subha Fernando (Expert Syst. Appl., 2025)