सब हमसे खुश रहे, ईस्वर से है यही प्राथना, द्वेष न हो किसी के मन में, न कोई दुर्भावना।
(Everyone should be happy with us, this is our prayer to God, there should be no malice in anyone's mind, nor any ill will.)
I am Dr. Sanjay Kumar Gupta, completed my PhD on 28/June/2022 from Department of CSE, IIT (BHU), Varanasi, Uttar Pradesh. Dr Pratik Chattopadhyay was my PhD supervisor. I had worked for Gait Recognition under image and video processing using machine and deep learning models. After PhD Thesis submission I had joined the Samsung RND Institute of India, Bangalore as a Research Associate (PhD Intern) and worked with camera system team for image deblurring using deep learning models for the duration of six months from 15/July/2022 to 13/Jan/2023.
Research Area : Gait Recognition through image and video processing, Pattern Recognition, Machine Learning
I have Completed my M.Tech from Devi Ahilya Vishwavidyalaya , Indore, Madhya Pradesh, India
I have done B.E in Information Technology from REC Bhopal, affiliated to RGPV, Bhopal, Madhya Pradesh, India
Email ID : rspvsanjay@gmail.com, sanjaykrgupta.rs.cse17@itbhu.ac.in
Access Profile: Google Scholar, GitHub Profile, LinkedIn Profile, Web of Science, ORCID.
PhD Thesis File: "Developing Improved Algorithms for Pose-Based Gait Recognition"
Final Defenec PPT of PhD: "Developing Improved Algorithms for Pose-Based Gait Recognition"
Course Certificates:
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning,
Neural Networks and Deep Learning,
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization,
Journal Papers:
Sanjay Kumar Gupta, Pratik Chattopadhyay “Gait Recognition in the Presence of Co-variate Conditions” Neurocomputing (SCI paper with Impact Factor of 5.719), DOI: https://doi.org/10.1016/j.neucom.2021.04.113
Sanjay Kumar Gupta, Pratik Chattopadhyay, “Exploiting Pose Dynamics for Human Recognition from Their Gait Signature” Multimedia Tools and Applications (Accepted and Published in October 2020 ) (SCI paper with Impact Factor of 2.757), DOI: https://doi.org/10.1007/s11042-020-10071-9
Sanjay Kumar Gupta, “Reduction of Covariate Factors from Silhouette Image for Robust Gait Recognition” Multimedia Tools and Applications (Accepted in April 2021) (SCI paper with Impact Factor of 2.757), DOI: https://doi.org/10.1007/s11042-021-10941-w
Sanjay Kumar Gupta, Pratik Chattopadhyay, "Pose-Based Boundary Energy Image for Gait Recognition from Silhouette Contour Information" Sadhana, Springer, DOI: https://doi.org/10.21203/rs.3.rs-1658508/v1
Conference Papers:
Sanjay Kumar Gupta, Gaurav Mahesh Sultaniya, Pratik Chattopadhyay, "An Efficient Descriptor for Gait Recognition using Spatio-Temporal Cues " International Conference on Emerging Technology in Modelling and Graphics, Springer Singapore, 85-97, 2019
Research Service to:
IEEE Transactions on Image Processing,
IEEE Transactions on Circuits and Systems for Video Technology,
Pattern Recognition Elsevier.
Gait Data for Static Occlusion:
A data set has been created related to Gait Recognition and Occlusion Analysis that is named as Gait-Powershot-SX430-IS.
Project Works:
I worked on DST-SERB sponsored project for a duration of 14 months. This project is coded with JAVA + JavaScript + HTML web programming language. Name of project: Efficient Generation of a Query-specific Extractive Summary on MultipleDocuments – A Distributive Approach, Ref No. YSS/2015/000906