CFS performance improvement using Binomial Heap. - Shirish Singh; Praveen Kumar 005 (ICACCI, 2015)

Human Activity Recognition by Fusion of RGB, Depth, and Skeletal Data. - Pushpajit Khaire; Javed Imran; Praveen Kumar 005 (CVIP (1), 2017)

User specific context construction for personalized multimedia retrieval. - Shirish Singh; Praveen Kumar 005 (Multim. Tools Appl., 2018)

Combining CNN streams of RGB-D and skeletal data for human activity recognition. - Pushpajit Khaire; Praveen Kumar 005; Javed Imran (Pattern Recognit. Lett., 2018)

Real-time implementation of moving object detection in UAV videos using GPUs. - Deepak Jaiswal; Praveen Kumar 005 (J. Real Time Image Process., 2020)

RGB+D and deep learning-based real-time detection of suspicious event in Bank-ATMs. - Pushpajit Khaire; Praveen Kumar 005 (J. Real Time Image Process., 2021)

A survey on parallel computing for traditional computer vision. - Deepak Jaiswal; Praveen Kumar 005 (Concurr. Comput. Pract. Exp., 2022)

A comparative study on SoC embedded low power GPUs for real-time edge-based automated traffic surveillance. - Deepak Jaiswal; Praveen Kumar 005 (Concurr. Comput. Pract. Exp., 2022)

A semi-supervised deep learning based video anomaly detection framework using RGB-D for surveillance of real-world critical environments. - Pushpajit Khaire; Praveen Kumar 005 (Digit. Investig., 2022)

An intelligent system for monitoring students' engagement in large classroom teaching through facial expression recognition. - Chakradhar Pabba; Praveen Kumar 005 (Expert Syst. J. Knowl. Eng., 2022)

Deep learning and RGB-D based human action, human-human and human-object interaction recognition: A survey. - Pushpajit Khaire; Praveen Kumar 005 (J. Vis. Commun. Image Represent., 2022)

Fall detection approach based on combined displacement of spatial features for intelligent indoor surveillance. - Anurag De; Ashim Saha; Praveen Kumar 005 (Multim. Tools Appl., 2022)

Fall detection method based on Spatio-temporal feature fusion using combined two-channel classification. - Anurag De; Ashim Saha; Praveen Kumar 005; Gautam Pal (Multim. Tools Appl., 2022)

Online suspicious event detection in a constrained environment with RGB+D camera using multi-stream CNNs and SVM. - Pushpajit Khaire; Praveen Kumar 005 (Multim. Tools Appl., 2022)

EngageDat-vL: A Multimodal Engagement Dataset Comprising of Emotional, Cognitive, and Behavioral Cues in Virtual Learning Environment. - Sarthak Akre; Nilesh Palandurkar; Akshat Iyengar; Gourav Chayande; Praveen Kumar 005 (PReMI, 2023)

MuOE: A Multi-task Ordinality Aware Approach Towards Engagement Detection. - Saumya Gandhi; Aayush Fadia; Ritik Agrawal; Surbhi Agrawal; Praveen Kumar 005 (PReMI, 2023)

Fall detection approach based on combined two-channel body activity classification for innovative indoor environment. - Anurag De; Ashim Saha; Praveen Kumar 005; Gautam Pal (J. Ambient Intell. Humaniz. Comput., 2023)

A novel multi-modal depression detection approach based on mobile crowd sensing and task-based mechanisms. - Ravi Prasad Thati; Abhishek Singh Dhadwal; Praveen Kumar 005; Sainaba P (Multim. Tools Appl., 2023)

Multimodal Depression Detection: Using Fusion Strategies with Smart Phone Usage and Audio-visual Behavior. - Ravi Prasad Thati; Abhishek Singh Dhadwal; Praveen Kumar 005; Sainaba P (Int. J. Artif. Intell. Tools, 2023)

A visual intelligent system for students' behavior classification using body pose and facial features in a smart classroom. - Chakradhar Pabba; Vishal Bhardwaj; Praveen Kumar 005 (Multim. Tools Appl., 2024)

A vision-based multi-cues approach for individual students' and overall class engagement monitoring in smart classroom environments. - Chakradhar Pabba; Praveen Kumar 005 (Multim. Tools Appl., 2024)