Vidit Kumar

Orcid: 0000-0002-6157-7562

According to our database1, Vidit Kumar authored at least 11 papers between 2021 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Multi-feature Fusion Deep Network for Skin Disease Diagnosis.
Multim. Tools Appl., January, 2025

2024
Spatial attention enhanced deep learning model for Alzheimer's disease diagnosis.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Mobi-Effb0: Dual convolutional neural network fusion approach for automated diagnosis of Alzheimer's disease.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

An Efficient Deep Learning Approach for Diabetic Retinopathy Classification.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

A Hybrid U-Net and Vision Transformer approach for Video Anomaly detection.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Enhancing Skin Disease Diagnosis with a Dual Vision Transformer Model.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

2023
Learning Noise-Assisted Robust Image Features for Fine-Grained Image Retrieval.
Comput. Syst. Sci. Eng., 2023

A Deep Learning Fusion Approach for Automatic Diagnosis and Grading of Diabetic Retinopathy.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022
Unsupervised Learning of Spatio-Temporal Representation with Multi-Task Learning for Video Retrieval.
Proceedings of the 27th National Conference on Communications, 2022

2021
Unsupervised Learning of Visual Representations via Rotation and Future Frame Prediction for Video Retrieval.
Proceedings of the Advances in Computing and Data Sciences - 5th International Conference, 2021

Enhancing Unsupervised Video Representation Learning by Temporal Contrastive Modelling Using 2D CNN.
Proceedings of the Computer Vision and Image Processing - 6th International Conference, 2021


  Loading...