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ORCIDAmirthalingam Ramanan
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2020 – today
- 2025
[j10]Janani Kugarajeevan, Thanikasalam Kokul
, Amirthalingam Ramanan, Subha Fernando:
Selective Information Flow for Transformer Tracking. Expert Syst. Appl. 259: 125381 (2025)- 2024
- [j9]Mathuranathan Mayuravaani, Amirthalingam Ramanan, Maneesha Perera, Damith A. Senanayake, Rajith Vidanaarachchi:
Insights into Artificial Intelligence Bias: Implications for Agriculture. Digit. Soc. 3(3): 48 (2024) - [i2]Janani Kugarajeevan, Thanikasalam Kokul, Amirthalingam Ramanan, Subha Fernando:
Optimized Information Flow for Transformer Tracking. CoRR abs/2402.08195 (2024) - 2023
- [j8]Janani Kugarajeevan, Thanikasalam Kokul, Amirthalingam Ramanan, Subha Fernando:
Transformers in Single Object Tracking: An Experimental Survey. IEEE Access 11: 80297-80326 (2023) - [j7]Majuran Shajini, Amirthalingam Ramanan:
A single-stage fashion clothing detection using multilevel visual attention. Vis. Comput. 39(12): 6609-6623 (2023) - [i1]Janani Thangavel, Thanikasalam Kokul, Amirthalingam Ramanan, Subha Fernando:
Transformers in Single Object Tracking: An Experimental Survey. CoRR abs/2302.11867 (2023) - 2022
- [j6]Rajendran Nirthika, Siyamalan Manivannan, Amirthalingam Ramanan:
Siamese network based fine grained classification for Diabetic Retinopathy grading. Biomed. Signal Process. Control. 78: 103874 (2022) - [j5]Rajendran Nirthika, Siyamalan Manivannan, Amirthalingam Ramanan, Ruixuan Wang:
Pooling in convolutional neural networks for medical image analysis: a survey and an empirical study. Neural Comput. Appl. 34(7): 5321-5347 (2022) - [j4]Majuran Shajini, Amirthalingam Ramanan:
A knowledge-sharing semi-supervised approach for fashion clothes classification and attribute prediction. Vis. Comput. 38(11): 3551-3561 (2022) - 2021
- [j3]Majuran Shajini, Amirthalingam Ramanan:
An improved landmark-driven and spatial-channel attentive convolutional neural network for fashion clothes classification. Vis. Comput. 37(6): 1517-1526 (2021) - 2020
- [j2]Thanikasalam Kokul, Clinton Fookes, Sridha Sridharan, Amirthalingam Ramanan, Amalka Pinidiyaarachchi:
Target-Specific Siamese Attention Network for Real-Time Object Tracking. IEEE Trans. Inf. Forensics Secur. 15: 1276-1289 (2020) - [c7]Rajendran Nirthika, Siyamalan Manivannan, Amirthalingam Ramanan:
Loss functions for optimizing Kappa as the evaluation measure for classifying diabetic retinopathy and prostate cancer images. ICIIS 2020: 144-149
2010 – 2019
- 2018
- [c6]Thanikasalam Kokul, Clinton Fookes, Sridha Sridharan, Amirthalingam Ramanan, U. A. J. Pinidiyaarachchi:
Deep Match Tracker: Classifying when Dissimilar, Similarity Matching when Not. ICIP 2018: 2730-2734 - 2017
- [c5]Majuran Shajini, Amirthalingam Ramanan:
A feature-driven hierarchical classification approach to emotions in speeches using SVMs. ICIIS 2017: 1-5 - [c4]Thanikasalam Kokul, Clinton Fookes, Sridha Sridharan, Amirthalingam Ramanan, U. A. J. Pinidiyaarachchi:
Gate connected convolutional neural network for object tracking. ICIP 2017: 2602-2606 - 2016
- [c3]Veerapathirapillai Vinoharan, Amirthalingam Ramanan:
Are Large Scale Training Images or Discriminative Features Important for Codebook Construction?. ICPRAM 2016: 193-198 - 2015
- [c2]T. Kirishanthy, Amirthalingam Ramanan:
Creating Compact and Discriminative Visual Vocabularies Using Visual Bits. DICTA 2015: 1-6 - 2012
- [j1]Amirthalingam Ramanan, Mahesan Niranjan:
A Review of Codebook Models in Patch-Based Visual Object Recognition. J. Signal Process. Syst. 68(3): 333-352 (2012) - 2010
- [b1]Amirthalingam Ramanan:
Designing a resource-allocating codebook for patch-based visual object recognition. University of Southampton, UK, 2010
2000 – 2009
- 2009
- [c1]Bassam Farran, Amirthalingam Ramanan, Mahesan Niranjan:
Sequential Hierarchical Pattern Clustering. PRIB 2009: 79-88
Coauthor Index
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