Praveen Kumar

Orcid: 0000-0003-4820-3088

Affiliations:
  • Visvesvaraya National Institute of Technology, Department of Computer Science and Engineering, Nagpur, India


According to our database1, Praveen Kumar authored at least 21 papers between 2015 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
A vision-based multi-cues approach for individual students' and overall class engagement monitoring in smart classroom environments.
Multim. Tools Appl., May, 2024

A visual intelligent system for students' behavior classification using body pose and facial features in a smart classroom.
Multim. Tools Appl., April, 2024

2023
Multimodal Depression Detection: Using Fusion Strategies with Smart Phone Usage and Audio-visual Behavior.
Int. J. Artif. Intell. Tools, March, 2023

A novel multi-modal depression detection approach based on mobile crowd sensing and task-based mechanisms.
Multim. Tools Appl., February, 2023

Fall detection approach based on combined two-channel body activity classification for innovative indoor environment.
J. Ambient Intell. Humaniz. Comput., 2023

MuOE: A Multi-task Ordinality Aware Approach Towards Engagement Detection.
Proceedings of the Pattern Recognition and Machine Intelligence, 2023

EngageDat-vL: A Multimodal Engagement Dataset Comprising of Emotional, Cognitive, and Behavioral Cues in Virtual Learning Environment.
Proceedings of the Pattern Recognition and Machine Intelligence, 2023

2022
Online suspicious event detection in a constrained environment with RGB+D camera using multi-stream CNNs and SVM.
Multim. Tools Appl., 2022

Fall detection method based on Spatio-temporal feature fusion using combined two-channel classification.
Multim. Tools Appl., 2022

Fall detection approach based on combined displacement of spatial features for intelligent indoor surveillance.
Multim. Tools Appl., 2022

Deep learning and RGB-D based human action, human-human and human-object interaction recognition: A survey.
J. Vis. Commun. Image Represent., 2022

An intelligent system for monitoring students' engagement in large classroom teaching through facial expression recognition.
Expert Syst. J. Knowl. Eng., 2022

A semi-supervised deep learning based video anomaly detection framework using RGB-D for surveillance of real-world critical environments.
Digit. Investig., 2022

A comparative study on SoC embedded low power GPUs for real-time edge-based automated traffic surveillance.
Concurr. Comput. Pract. Exp., 2022

A survey on parallel computing for traditional computer vision.
Concurr. Comput. Pract. Exp., 2022

2021
RGB+D and deep learning-based real-time detection of suspicious event in Bank-ATMs.
J. Real Time Image Process., 2021

2020
Real-time implementation of moving object detection in UAV videos using GPUs.
J. Real Time Image Process., 2020

2018
Combining CNN streams of RGB-D and skeletal data for human activity recognition.
Pattern Recognit. Lett., 2018

User specific context construction for personalized multimedia retrieval.
Multim. Tools Appl., 2018

2017
Human Activity Recognition by Fusion of RGB, Depth, and Skeletal Data.
Proceedings of 2nd International Conference on Computer Vision & Image Processing, 2017

2015
CFS performance improvement using Binomial Heap.
Proceedings of the 2015 International Conference on Advances in Computing, 2015


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