Dinesh Kumar Vishwakarma

Orcid: 0000-0002-1026-0047

According to our database1, Dinesh Kumar Vishwakarma authored at least 130 papers between 2012 and 2025.

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Bibliography

2025
HOMOGRAPH: a novel textual adversarial attack architecture to unmask the susceptibility of linguistic acceptability classifiers.
Int. J. Inf. Sec., February, 2025

2024
A human activity recognition framework in videos using segmented human subject focus.
Vis. Comput., October, 2024

Shallowfake and deepfake image manipulation localization using noise and RGB-based dual branch method.
Signal Image Video Process., September, 2024

Tex-Net: texture-based parallel branch cross-attention generalized robust Deepfake detector.
Multim. Syst., August, 2024

Non-Alpha-Num: a novel architecture for generating adversarial examples for bypassing NLP-based clickbait detection mechanisms.
Int. J. Inf. Sec., August, 2024

Toward effective image forensics via a novel computationally efficient framework and a new image splice dataset.
Signal Image Video Process., June, 2024

An Emotion-Aware Multitask Approach to Fake News and Rumor Detection Using Transfer Learning.
IEEE Trans. Comput. Soc. Syst., February, 2024

A review of vision-based indoor HAR: state-of-the-art, challenges, and future prospects.
Multim. Tools Appl., January, 2024

A state-of-the-art review on adversarial machine learning in image classification.
Multim. Tools Appl., January, 2024

Fight detection with spatial and channel wise attention-based ConvLSTM model.
Expert Syst. J. Knowl. Eng., January, 2024

AW-MSA: Adaptively weighted multi-scale attentional features for DeepFake detection.
Eng. Appl. Artif. Intell., January, 2024

Uncovering visual attention-based multi-level tampering traces for face forgery detection.
Signal Image Video Process., 2024

Deep learning algorithms for person re-identification: sate-of-the-art and research challenges.
Multim. Tools Appl., 2024

Datasets, clues and state-of-the-arts for multimedia forensics: An extensive review.
Expert Syst. Appl., 2024

HumanPoseNet: An all-transformer architecture for pose estimation with efficient patch expansion and attentional feature refinement.
Expert Syst. Appl., 2024

Exposing the Achilles' heel of textual hate speech classifiers using indistinguishable adversarial examples.
Expert Syst. Appl., 2024

A comprehensive review on Federated Learning for Data-Sensitive Application: Open issues & challenges.
Eng. Appl. Artif. Intell., 2024

MHS-STMA: Multimodal Hate Speech Detection via Scalable Transformer-Based Multilevel Attention Framework.
CoRR, 2024

Hate Content Detection via Novel Pre-Processing Sequencing and Ensemble Methods.
CoRR, 2024

A Noise and Edge extraction-based dual-branch method for Shallowfake and Deepfake Localization.
CoRR, 2024

Tex-ViT: A Generalizable, Robust, Texture-based dual-branch cross-attention deepfake detector.
CoRR, 2024

Target-Dependent Multimodal Sentiment Analysis Via Employing Visual-to Emotional-Caption Translation Network using Visual-Caption Pairs.
CoRR, 2024

VyAnG-Net: A Novel Multi-Modal Sarcasm Recognition Model by Uncovering Visual, Acoustic and Glossary Features.
CoRR, 2024

Modelling Visual Semantics via Image Captioning to extract Enhanced Multi-Level Cross-Modal Semantic Incongruity Representation with Attention for Multimodal Sarcasm Detection.
CoRR, 2024

Contrastive Learning-based Multi Modal Architecture for Emoticon Prediction by Employing Image-Text Pairs.
CoRR, 2024

Towards Effective Image Forensics via A Novel Computationally Efficient Framework and A New Image Splice Dataset.
CoRR, 2024

A Visually Attentive Splice Localization Network with Multi-Domain Feature Extractor and Multi-Receptive Field Upsampler.
CoRR, 2024

Progress, achievements, and challenges in multimodal sentiment analysis using deep learning: A survey.
Appl. Soft Comput., 2024

Optimizing Electric Vehicle Efficiency with Real-Time Telemetry using Machine Learning.
Proceedings of the 10th International Conference on Mechatronics and Robotics Engineering, 2024

DQSSA: A Quantum-Inspired Solution for Maximizing Influence in Online Social Networks (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
MRT-Net: Auto-adaptive weighting of manipulation residuals and texture clues for face manipulation detection.
Expert Syst. Appl., December, 2023

Influence Maximization in social networks using discretized Harris' Hawks Optimization algorithm.
Appl. Soft Comput., December, 2023

Evading text based emotion detection mechanism via adversarial attacks.
Neurocomputing, November, 2023

Multi-modal fusion using Fine-tuned Self-attention and transfer learning for veracity analysis of web information.
Expert Syst. Appl., November, 2023

Multimodal hate speech detection via multi-scale visual kernels and knowledge distillation architecture.
Eng. Appl. Artif. Intell., November, 2023

HOMOCHAR: A novel adversarial attack framework for exposing the vulnerability of text based neural sentiment classifiers.
Eng. Appl. Artif. Intell., November, 2023

GLUE analysis of meteorological-based crop coefficient predictions to derive the explicit equation.
Neural Comput. Appl., July, 2023

A literature survey on multimodal and multilingual automatic hate speech identification.
Multim. Syst., June, 2023

A deep neural network-based hybrid recommender system with user-user networks.
Multim. Tools Appl., April, 2023

Obscenity Detection in Videos Through a Sequential ConvNet Pipeline Classifier.
IEEE Trans. Cogn. Dev. Syst., March, 2023

Framework for detection of probable clues to predict misleading information proliferated during COVID-19 outbreak.
Neural Comput. Appl., March, 2023

HISNet: a Human Image Segmentation Network aiding bokeh effect generation.
Multim. Tools Appl., March, 2023

A Deep Multi-level Attentive Network for Multimodal Sentiment Analysis.
ACM Trans. Multim. Comput. Commun. Appl., January, 2023

A framework of fake news detection on web platform using ConvNet.
Soc. Netw. Anal. Min., 2023

VABDC-Net: A framework for Visual-Caption Sentiment Recognition via spatio-depth visual attention and bi-directional caption processing.
Knowl. Based Syst., 2023

An automated multi-web platform voting framework to predict misleading information proliferated during COVID-19 outbreak using ensemble method.
Data Knowl. Eng., 2023

Optimizing Electric Vehicle Efficiency with Real-Time Telemetry using Machine Learning.
CoRR, 2023

Deceiving Deep Learning-based Fraud SMS Detection Models through Adversarial Attacks.
Proceedings of the 17th International Conference on Signal-Image Technology & Internet-Based Systems, 2023

Hybrid XGBoost and Extreme Machine Learning Algorithm on Diabetes Disease Prediction.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

A Comparative Study on Different Machine Learning Algorithms to Detect PCOS.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Adversarial Adaptation for French Named Entity Recognition.
Proceedings of the Advances in Information Retrieval, 2023

CKS: A Community-Based K-shell Decomposition Approach Using Community Bridge Nodes for Influence Maximization (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

An Emotion-Guided Approach to Domain Adaptive Fake News Detection Using Adversarial Learning (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Crowd anomaly detection with LSTMs using optical features and domain knowledge for improved inferring.
Vis. Comput., 2022

A Language-independent Network to Analyze the Impact of COVID-19 on the World via Sentiment Analysis.
ACM Trans. Internet Techn., 2022

Development of Smart Weighing Lysimeter for Measuring Evapotranspiration and Developing Crop Coefficient for Greenhouse Chrysanthemum.
Sensors, 2022

A unified approach of detecting misleading images via tracing its instances on web and analyzing its past context for the verification of multimedia content.
Int. J. Multim. Inf. Retr., 2022

A literature review and perspectives in deepfakes: generation, detection, and applications.
Int. J. Multim. Inf. Retr., 2022

A novel framework for detection of motion and appearance-based Anomaly using ensemble learning and LSTMs.
Expert Syst. Appl., 2022

A sparse coded composite descriptor for human activity recognition.
Expert Syst. J. Knowl. Eng., 2022

Watershed prioritization using morphometric analysis by MCDM approaches.
Ecol. Informatics, 2022

Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora.
CoRR, 2022

CKS: A Community-based K-shell Decomposition Approach using Community Bridge Nodes for Influence Maximization.
CoRR, 2022

An Emotion-guided Approach to Domain Adaptive Fake News Detection using Adversarial Learning.
CoRR, 2022

An Emotion-Aware Multi-Task Approach to Fake News and Rumour Detection using Transfer Learning.
CoRR, 2022

Influence Maximization in Social Networks using Discretized Harris Hawks Optimization Algorithm and Neighbour Scout Strategy.
CoRR, 2022

A Spreader Ranking Algorithm for Extremely Low-budget Influence Maximization in Social Networks using Community Bridge Nodes.
CoRR, 2022

Emotion-guided Cross-domain Fake News Detection using Adversarial Domain Adaptation.
Proceedings of the 19th International Conference on Natural Language Processing, 2022

Robust and Generalized DeepFake Detection.
Proceedings of the 13th International Conference on Computing Communication and Networking Technologies, 2022

Skin Disease Detection Using Saliency Maps and Segmentation Techniques.
Proceedings of the Computer Vision and Image Processing - 7th International Conference, 2022

2021
Part-wise Spatio-temporal Attention Driven CNN-based 3D Human Action Recognition.
ACM Trans. Multim. Comput. Commun. Appl., 2021

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

A deep multimodal network based on bottleneck layer features fusion for action recognition.
Multim. Tools Appl., 2021

Hoax news-inspector: a real-time prediction of fake news using content resemblance over web search results for authenticating the credibility of news articles.
J. Ambient Intell. Humaniz. Comput., 2021

HAN, image captioning, and forensics ensemble multimodal fake news detection.
Inf. Sci., 2021

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

A temporal ensembling based semi-supervised ConvNet for the detection of fake news articles.
Expert Syst. Appl., 2021

Clickbait in YouTube Prevention, Detection and Analysis of the Bait using Ensemble Learning.
CoRR, 2021

Fake News Detection using Semi-Supervised Graph Convolutional Network.
CoRR, 2021

A Unified Approach of Detecting Misleading Images via Tracing its Instances on Web and Analysing its Past Context for the Verification of Content.
CoRR, 2021

Multilevel profiling of situation and dialogue-based deep networks for movie genre classification using movie trailers.
CoRR, 2021

Deep and Shallow Covariance Feature Quantization for 3D Facial Expression Recognition.
CoRR, 2021

A unified approach for detection of Clickbait videos on YouTube using cognitive evidences.
Appl. Intell., 2021

Automated Threat Objects Detection with Synthetic Data for Real-Time X-ray Baggage Inspection.
Proceedings of the International Joint Conference on Neural Networks, 2021

ArtiMarker: A Novel Artificially Inflated Video Marking And Characterization Method on YouTube.
Proceedings of the 5th International Conference on Computer, 2021

Ensembled Neural Network for Static Hand Gesture Recognition.
Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021

Automatic Image Colorization using U-Net.
Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021

Personalized Music Recommendation System based on Streamer Streaming Trends.
Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021

Clickbait in Social Media: Detection and Analysis of the Bait.
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 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 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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