Enhancing Unsupervised Video Representation Learning by Temporal Contrastive Modelling Using 2D CNN. - Vidit Kumar; Vikas Tripathi; Bhaskar Pant (CVIP (2), 2021)

Unsupervised Learning of Visual Representations via Rotation and Future Frame Prediction for Video Retrieval. - Vidit Kumar; Vikas Tripathi; Bhaskar Pant (ICACDS (1), 2021)

Unsupervised Learning of Spatio-Temporal Representation with Multi-Task Learning for Video Retrieval. - Vidit Kumar (NCC, 2022)

A Deep Learning Fusion Approach for Automatic Diagnosis and Grading of Diabetic Retinopathy. - Anisha Gupta; Vidit Kumar (ICCCNT, 2023)

Learning Noise-Assisted Robust Image Features for Fine-Grained Image Retrieval. - Vidit Kumar; Hemant Petwal; Ajay Krishan Gairola; Pareshwar Prasad Barmola (Comput. Syst. Sci. Eng., 2023)

Enhancing Skin Disease Diagnosis with a Dual Vision Transformer Model. - Ajay Krishan Gairola; Vidit Kumar; Ashok Kumar Sahoo (ICCCNT, 2024)

A Hybrid U-Net and Vision Transformer approach for Video Anomaly detection. - Anisha Gupta; Vidit Kumar (ICCCNT, 2024)

An Efficient Deep Learning Approach for Diabetic Retinopathy Classification. - Richa Gupta; Vidit Kumar; Vikas Tripathi (ICCCNT, 2024)

Mobi-Effb0: Dual convolutional neural network fusion approach for automated diagnosis of Alzheimer's disease. - Upendra Singh; Vidit Kumar; Bhaskar Pant (ICCCNT, 2024)

Spatial attention enhanced deep learning model for Alzheimer's disease diagnosis. - Upendra Singh; Vidit Kumar; Bhaskar Pant (ICCCNT, 2024)

Multi-feature Fusion Deep Network for Skin Disease Diagnosis. - Ajay Krishan Gairola; Vidit Kumar; Ashok Kumar Sahoo; Manoj Diwakar; Prabhishek Singh; Deepak Garg 002 (Multim. Tools Appl., 2025)