Pavithra Latha Kumaresan

Orcid: 0000-0003-3042-0068

Affiliations:
  • Vellore Institute of Technology, Centre for Human Movement Analytics, Chennai, India


According to our database1, Pavithra Latha Kumaresan authored at least 14 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2025
Proactive DDoS detection: integrating packet marking, traffic analysis, and machine learning for enhanced network security.
Clust. Comput., June, 2025

Enhanced Semantic Natural Scenery Retrieval System Through Novel Dominant Colour and Multi-Resolution Texture Feature Learning Model.
Expert Syst. J. Knowl. Eng., February, 2025

Deep Learning Innovations for Underwater Waste Detection: An In-Depth Analysis.
IEEE Access, 2025

FUSION: Frequency-guided Underwater Spatial Image recOnstructioN.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024
Unveiling the hidden depths: advancements in underwater image enhancement using deep learning and auto-encoders.
PeerJ Comput. Sci., 2024

Deep Learning Innovations for Underwater Waste Detection: An In-Depth Analysis.
CoRR, 2024

2022
Optimum anamorphic image generation using image rotation and relative entropy.
Multim. Tools Appl., November, 2022

2021
Texture Image Classification and Retrieval Using Multi-resolution Radial Gradient Binary Pattern.
Appl. Artif. Intell., 2021

Parallel Exploitation of 2D LiDAR Simultaneous Localization and Mapping.
Proceedings of the 5th International Conference on Computer, 2021

2020
A new multi-level radial difference encoded pattern for image classification and retrieval.
Multidimens. Syst. Signal Process., 2020

An Improved Seed Point Selection-Based Unsupervised Color Clustering for Content-Based Image Retrieval Application.
Comput. J., 2020

2019
Direction-invariant binary pattern-encoded descriptor for texture classification and retrieval.
J. Electronic Imaging, 2019

An efficient seed points selection approach in dominant color descriptors (DCD).
Clust. Comput., 2019

2018
An efficient framework for image retrieval using color, texture and edge features.
Comput. Electr. Eng., 2018


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