Linu Shine

Orcid: 0000-0003-4526-6075

According to our database1, Linu Shine authored at least 12 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
SwarmShield: A Fully Decentralized Trust-Based Defense Against Adversarial Poisoning in Federated Learning.
Informatica (Slovenia), 2026

2024
A two-stage CNN model for the classification and severity analysis of retinal and choroidal diseases in OCT images.
Int. J. Intell. Networks, 2024

Refine3DNet: Scaling Precision in 3D Object Reconstruction from Multi-View RGB Images using Attention✱.
Proceedings of the Fifteenth Indian Conference on Computer Vision Graphics and Image Processing, 2024

An Instance-Aware Attention Vision Transformer for Glaucoma Detection Using Retinal Fundus Image Analysis.
Proceedings of the Computer Vision and Image Processing - 9th International Conference, 2024

2023
An Efficient 3D CNN Framework with Attention Mechanisms for Alzheimer's Disease Classification.
Comput. Syst. Sci. Eng., 2023

2021
Comparative Analysis of Two Stage and Single Stage Detectors for Anomaly Detection.
Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021

2020
Automated detection of helmet on motorcyclists from traffic surveillance videos: a comparative analysis using hand-crafted features and CNN.
Multim. Tools Appl., 2020


Fractional Data Distillation Model for Anomaly Detection in Traffic Videos.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Vision Based Advanced Driver Assistance System Using Deep Learning.
Proceedings of the 10th International Conference on Computing, 2019

Real-Time Traffic Sign Recognition using YOLOv3 based Detector.
Proceedings of the 10th International Conference on Computing, 2019

A Comparative Study of Faster R-CNN Models for Anomaly Detection in 2019 AI City Challenge.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019


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