Dinesh Kumar Vishwakarma

According to our database1, Dinesh Kumar Vishwakarma authored at least 43 papers between 2012 and 2021.

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Bibliography

2021
A deeply coupled ConvNet for human activity recognition using dynamic and RGB images.
Neural Comput. Appl., 2021

A review on rumour prediction and veracity assessment in online social network.
Expert Syst. Appl., 2021

2020
View-Invariant Deep Architecture for Human Action Recognition Using Two-Stream Motion and Shape Temporal Dynamics.
IEEE Trans. Image Process., 2020

A deep learning architecture of RA-DLNet for visual sentiment analysis.
Multim. Syst., 2020

Violence recognition using convolutional neural network: A survey.
J. Intell. Fuzzy Syst., 2020

Crowd anomaly detection using Aggregation of Ensembles of fine-tuned ConvNets.
Neurocomputing, 2020

Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities.
Expert Syst. Appl., 2020

Person Re-Identification using Deep Learning Networks: A Systematic Review.
CoRR, 2020

A Deep Multi-Level Attentive network for Multimodal Sentiment Analysis.
CoRR, 2020

A Deep Language-independent Network to analyze the impact of COVID-19 on the World via Sentiment Analysis.
CoRR, 2020

A two-fold transformation model for human action recognition using decisive pose.
Cogn. Syst. Res., 2020

A comparative study on bio-inspired algorithms for sentiment analysis.
Clust. Comput., 2020

A unified framework of deep networks for genre classification using movie trailer.
Appl. Soft Comput., 2020

Sentiment analysis using deep learning architectures: a review.
Artif. Intell. Rev., 2020

Detecting Arson and Stone Pelting in Extreme Violence: A Deep Learning Based Identification Approach.
Proceedings of the Intelligent Human Computer Interaction, 2020

A Multilingual Framework of CNN and Bi-LSTM for Emotion Classification.
Proceedings of the 11th International Conference on Computing, 2020

MEMIS: Multimodal Emergency Management Information System.
Proceedings of the Advances in Information Retrieval, 2020

Recent Developments in Generative Adversarial Networks: A Review (Workshop Paper).
Proceedings of the 6th IEEE International Conference on Multimedia Big Data, 2020

A Weighted Text Representation framework for Sentiment Analysis of Medical Drug Reviews.
Proceedings of the 6th IEEE International Conference on Multimedia Big Data, 2020

Classification of Propagation Path and Tweets for Rumor Detection using Graphical Convolutional Networks and Transformer based Encodings.
Proceedings of the 6th IEEE International Conference on Multimedia Big Data, 2020

Face Recognition in an Unconstrained Environment using ConvNet.
Proceedings of the BDET 2020: 2nd International Conference on Big Data Engineering and Technology, 2020

2019
A unified model for human activity recognition using spatial distribution of gradients and difference of Gaussian kernel.
Vis. Comput., 2019

Convolutional neural networks for crowd behaviour analysis: a survey.
Vis. Comput., 2019

Blind image deblurring via gradient orientation-based clustered coupled sparse dictionaries.
Pattern Anal. Appl., 2019

A review of state-of-the-art techniques for abnormal human activity recognition.
Eng. Appl. Artif. Intell., 2019

View-invariant Deep Architecture for Human Action Recognition using late fusion.
CoRR, 2019

Skeleton based Activity Recognition by Fusing Part-wise Spatio-temporal and Attention Driven Residues.
CoRR, 2019

A Hybrid Framework for Action Recognition in Low-Quality Video Sequences.
CoRR, 2019

Detection and veracity analysis of fake news via scrapping and authenticating the web search.
Cogn. Syst. Res., 2019

Video benchmarks of human action datasets: a review.
Artif. Intell. Rev., 2019

XRA-Net Framework for Visual Sentiments Analysis.
Proceedings of the Fifth IEEE International Conference on Multimedia Big Data, 2019

Deep Learning Framework for Single and Dyadic Human Activity Recognition.
Proceedings of the Fifth IEEE International Conference on Multimedia Big Data, 2019

Skeleton-Based View Invariant Deep Features for Human Activity Recognition.
Proceedings of the Fifth IEEE International Conference on Multimedia Big Data, 2019

Multimodal Sentiment Analysis via RNN variants.
Proceedings of the 2019 IEEE International Conference on Big Data, 2019

2018
A Deep Structure of Person Re-Identification Using Multi-Level Gaussian Models.
IEEE Trans. Multi Scale Comput. Syst., 2018

Covariate Conscious Approach for Gait Recognition Based Upon Zernike Moment Invariants.
IEEE Trans. Cogn. Dev. Syst., 2018

2017
Human Activity Recognition Based on Spatial Distribution of Gradients at Sublevels of Average Energy Silhouette Images.
IEEE Trans. Cogn. Dev. Syst., 2017

An efficient interpretation of hand gestures to control smart interactive television.
Int. J. Comput. Vis. Robotics, 2017

Fast Deformable Model for Pedestrian Detection with Haar-like features.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016
A proposed unified framework for the recognition of human activity by exploiting the characteristics of action dynamics.
Robotics Auton. Syst., 2016

2015
Hybrid classifier based human activity recognition using the silhouette and cells.
Expert Syst. Appl., 2015

Integrated approach for human action recognition using edge spatial distribution, direction pixel and ℛ-transform.
Adv. Robotics, 2015

2012
Simple and intelligent system to recognize the expression of speech-disabled person.
Proceedings of the 4th International Conference on Intelligent Human Computer Interaction, 2012


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