Dinesh Kumar Vishwakarma

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 128

Top Venues

Publications

Geetanjali Bhola, Dinesh Kumar Vishwakarma
A review of vision-based indoor HAR: state-of-the-art, challenges, and future prospects. Multim. Tools Appl. 83 (1) (2024)
Sajal Aggarwal, Dinesh Kumar Vishwakarma
Exposing the Achilles' heel of textual hate speech classifiers using indistinguishable adversarial examples. Expert Syst. Appl. 254 (2024)
Ankit Yadav, Dinesh Kumar Vishwakarma
Toward effective image forensics via a novel computationally efficient framework and a new image splice dataset. Signal Image Video Process. 18 (4) (2024)
Arjun Choudhry, Inder Khatri, Minni Jain, Dinesh Kumar Vishwakarma
An Emotion-Aware Multitask Approach to Fake News and Rumor Detection Using Transfer Learning. IEEE Trans. Comput. Soc. Syst. 11 (1) (2024)
Ankit Yadav, Dhruv Gupta, Dinesh Kumar Vishwakarma
Uncovering visual attention-based multi-level tampering traces for face forgery detection. Signal Image Video Process. 18 (2) (2024)
Ankit Yadav, Dinesh Kumar Vishwakarma
AW-MSA: Adaptively weighted multi-scale attentional features for DeepFake detection. Eng. Appl. Artif. Intell. 127 (Part B) (2024)
Ankit Yadav, Dinesh Kumar Vishwakarma
Towards Effective Image Forensics via A Novel Computationally Efficient Framework and A New Image Splice Dataset. CoRR (2024)
Manu Narula, Jasraj Meena, Dinesh Kumar Vishwakarma
A comprehensive review on Federated Learning for Data-Sensitive Application: Open issues & challenges. Eng. Appl. Artif. Intell. 133 (2024)
Ankit Yadav, Dinesh Kumar Vishwakarma
Datasets, Clues and State-of-the-Arts for Multimedia Forensics: An Extensive Review. CoRR (2024)
Ankit Yadav, Dinesh Kumar Vishwakarma
Datasets, clues and state-of-the-arts for multimedia forensics: An extensive review. Expert Syst. Appl. 249 (2024)
Ashish Bajaj, Dinesh Kumar Vishwakarma
A state-of-the-art review on adversarial machine learning in image classification. Multim. Tools Appl. 83 (3) (2024)
Kunal Chaturvedi, Chhavi Dhiman, Dinesh Kumar Vishwakarma
Fight detection with spatial and channel wise attention-based ConvLSTM model. Expert Syst. J. Knowl. Eng. 41 (1) (2024)
Ankit Yadav, Dinesh Kumar Vishwakarma
A Visually Attentive Splice Localization Network with Multi-Domain Feature Extractor and Multi-Receptive Field Upsampler. CoRR (2024)
Aryaman Rao, Harshit Gupta, Parth Singh, Shivam Mittal, Utkarsh Singh, Dinesh Kumar Vishwakarma
Optimizing Electric Vehicle Efficiency with Real-Time Telemetry using Machine Learning. ICMRE (2024)
Ashish Bajaj, Dinesh Kumar Vishwakarma
Non-Alpha-Num: a novel architecture for generating adversarial examples for bypassing NLP-based clickbait detection mechanisms. Int. J. Inf. Sec. 23 (4) (2024)
Deepak Dagar, Dinesh Kumar Vishwakarma
Tex-Net: texture-based parallel branch cross-attention generalized robust Deepfake detector. Multim. Syst. 30 (4) (2024)
Ankit Yadav, Dinesh Kumar Vishwakarma
Deep learning algorithms for person re-identification: sate-of-the-art and research challenges. Multim. Tools Appl. 83 (8) (2024)
Ananya Pandey, Dinesh Kumar Vishwakarma
Progress, achievements, and challenges in multimodal sentiment analysis using deep learning: A survey. Appl. Soft Comput. 152 (2024)
Varun Gupta, Ankit Yadav, Dinesh Kumar Vishwakarma
HumanPoseNet: An all-transformer architecture for pose estimation with efficient patch expansion and attentional feature refinement. Expert Syst. Appl. 244 (2024)
Aryaman Rao, Parth Singh, Dinesh Kumar Vishwakarma, Mukesh Prasad
DQSSA: A Quantum-Inspired Solution for Maximizing Influence in Online Social Networks (Student Abstract). AAAI (2024)
Deepak Dagar, Dinesh Kumar Vishwakarma
Shallowfake and deepfake image manipulation localization using noise and RGB-based dual branch method. Signal Image Video Process. 18 (10) (2024)
Arjun Choudhry, Inder Khatri, Pankaj Gupta, Aaryan Gupta, Maxime Nicol, Marie-Jean Meurs, Dinesh Kumar Vishwakarma
Adversarial Adaptation for French Named Entity Recognition. CoRR (2023)
Anusha Chhabra, Dinesh Kumar Vishwakarma
A literature survey on multimodal and multilingual automatic hate speech identification. Multim. Syst. 29 (3) (2023)
Arjun Choudhry, Inder Khatri, Pankaj Gupta, Aaryan Gupta, Maxime Nicol, Marie-Jean Meurs, Dinesh Kumar Vishwakarma
Adversarial Adaptation for French Named Entity Recognition. ECIR (2) (2023)
Arkajyoti Chakraborty, Inder Khatri, Arjun Choudhry, Pankaj Gupta, Dinesh Kumar Vishwakarma, Mukesh Prasad
An Emotion-Guided Approach to Domain Adaptive Fake News Detection Using Adversarial Learning (Student Abstract). AAAI (2023)
Deepika Varshney, Dinesh Kumar Vishwakarma
Framework for detection of probable clues to predict misleading information proliferated during COVID-19 outbreak. Neural Comput. Appl. 35 (8) (2023)
Dinesh Kumar Vishwakarma, Amaan Bilal, Abrar Zahoor
Hybrid XGBoost and Extreme Machine Learning Algorithm on Diabetes Disease Prediction. ICCCNT (2023)
Priyanka Meel, Dinesh Kumar Vishwakarma
Multi-modal fusion using Fine-tuned Self-attention and transfer learning for veracity analysis of web information. Expert Syst. Appl. 229 (Part A) (2023)
Ashish Bajaj, Dinesh Kumar Vishwakarma
HOMOCHAR: A novel adversarial attack framework for exposing the vulnerability of text based neural sentiment classifiers. Eng. Appl. Artif. Intell. 126 (2023)
Neil Gautam, Dinesh Kumar Vishwakarma
Obscenity Detection in Videos Through a Sequential ConvNet Pipeline Classifier. IEEE Trans. Cogn. Dev. Syst. 15 (1) (2023)
Ananya Pandey, Dinesh Kumar Vishwakarma
VABDC-Net: A framework for Visual-Caption Sentiment Recognition via spatio-depth visual attention and bi-directional caption processing. Knowl. Based Syst. 269 (2023)
Deepika Varshney, Dinesh Kumar Vishwakarma
An automated multi-web platform voting framework to predict misleading information proliferated during COVID-19 outbreak using ensemble method. Data Knowl. Eng. 143 (2023)
Ankit Yadav, Dinesh Kumar Vishwakarma
MRT-Net: Auto-adaptive weighting of manipulation residuals and texture clues for face manipulation detection. Expert Syst. Appl. 232 (2023)
Aryaman Rao, Parth Singh, Dinesh Kumar Vishwakarma, Mukesh Prasad
DQSSA: A Quantum-Inspired Solution for Maximizing Influence in Online Social Networks (Student Abstract). CoRR (2023)
Arjun Choudhry, Pankaj Gupta, Inder Khatri, Aaryan Gupta, Maxime Nicol, Marie-Jean Meurs, Dinesh Kumar Vishwakarma
Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora (Student Abstract). AAAI (2023)
Ashish Bajaj, Dinesh Kumar Vishwakarma
Evading text based emotion detection mechanism via adversarial attacks. Neurocomputing 558 (2023)
Shaurya Gupta, Dinesh Kumar Vishwakarma
HISNet: a Human Image Segmentation Network aiding bokeh effect generation. Multim. Tools Appl. 82 (8) (2023)
Inder Khatri, Arjun Choudhry, Aryaman Rao, Aryan Tyagi, Dinesh Kumar Vishwakarma, Mukesh Prasad
Influence Maximization in social networks using discretized Harris' Hawks Optimization algorithm. Appl. Soft Comput. 149 (Part B) (2023)
Ashima Yadav, Dinesh Kumar Vishwakarma
A Deep Multi-level Attentive Network for Multimodal Sentiment Analysis. ACM Trans. Multim. Comput. Commun. Appl. 19 (1) (2023)
Ashish Bajaj, Dinesh Kumar Vishwakarma
Deceiving Deep Learning-based Fraud SMS Detection Models through Adversarial Attacks. SITIS (2023)
Inder Khatri, Aaryan Gupta, Arjun Choudhry, Aryan Tyagi, Dinesh Kumar Vishwakarma, Mukesh Prasad
CKS: A Community-Based K-shell Decomposition Approach Using Community Bridge Nodes for Influence Maximization (Student Abstract). AAAI (2023)
Aryaman Rao, Harshit Gupta, Parth Singh, Shivam Mittal, Utkrash Singh, Dinesh Kumar Vishwakarma
Optimizing Electric Vehicle Efficiency with Real-Time Telemetry using Machine Learning. CoRR (2023)
Anusha Chhabra, Dinesh Kumar Vishwakarma
Multimodal hate speech detection via multi-scale visual kernels and knowledge distillation architecture. Eng. Appl. Artif. Intell. 126 (2023)
Ayush Tanwar, Dinesh Kumar Vishwakarma
A deep neural network-based hybrid recommender system with user-user networks. Multim. Tools Appl. 82 (10) (2023)
Dinesh Kumar Vishwakarma, Priyanka Meel, Ashima Yadav, Kuldeep Singh
A framework of fake news detection on web platform using ConvNet. Soc. Netw. Anal. Min. 13 (1) (2023)
Rithwick Sethi, Dinesh Kumar Vishwakarma, Sreetam Ganguly, Raj Ray
A Comparative Study on Different Machine Learning Algorithms to Detect PCOS. ICCCNT (2023)
Ahmed Elbeltagi, Akram Seifi, Mohammad Ehteram, Bilel Zerouali, Dinesh Kumar Vishwakarma, Kusum Pandey
GLUE analysis of meteorological-based crop coefficient predictions to derive the explicit equation. Neural Comput. Appl. 35 (20) (2023)
Mohammad Sabih, Dinesh Kumar Vishwakarma
Crowd anomaly detection with LSTMs using optical features and domain knowledge for improved inferring. Vis. Comput. 38 (5) (2022)
Rishit Toteja, Dhruv Gupta, Vibhor Gautam, Dinesh Kumar Vishwakarma
Skin Disease Detection Using Saliency Maps and Segmentation Techniques. CVIP (1) (2022)
Deepika Varshney, Dinesh Kumar Vishwakarma
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. 11 (3) (2022)
Aaryan Gupta, Inder Khatri, Arjun Choudhry, Pranav Chandhok, Dinesh Kumar Vishwakarma, Mukesh Prasad
A Spreader Ranking Algorithm for Extremely Low-budget Influence Maximization in Social Networks using Community Bridge Nodes. CoRR (2022)
Purabi Sarkar, Pankaj Kumar, Dinesh Kumar Vishwakarma, Alaknanda Ashok, Ahmed Elbeltagi, Sandeep Gupta, Alban Kuriqi
Watershed prioritization using morphometric analysis by MCDM approaches. Ecol. Informatics 70 (2022)
Ashima Yadav, Dinesh Kumar Vishwakarma
A Language-independent Network to Analyze the Impact of COVID-19 on the World via Sentiment Analysis. ACM Trans. Internet Techn. 22 (1) (2022)
Deepak Dagar, Dinesh Kumar Vishwakarma
A literature review and perspectives in deepfakes: generation, detection, and applications. Int. J. Multim. Inf. Retr. 11 (3) (2022)
Inder Khatri, Arjun Choudhry, Aryaman Rao, Aryan Tyagi, Dinesh Kumar Vishwakarma, Mukesh Prasad
Influence Maximization in Social Networks using Discretized Harris Hawks Optimization Algorithm and Neighbour Scout Strategy. CoRR (2022)
Kuldeep Singh, Chhavi Dhiman, Dinesh Kumar Vishwakarma, Himanshu Makhija, Gurjit Singh Walia
A sparse coded composite descriptor for human activity recognition. Expert Syst. J. Knowl. Eng. 39 (1) (2022)
Arkajyoti Chakraborty, Inder Khatri, Arjun Choudhry, Pankaj Gupta, Dinesh Kumar Vishwakarma, Mukesh Prasad
An Emotion-guided Approach to Domain Adaptive Fake News Detection using Adversarial Learning. CoRR (2022)
Arjun Choudhry, Inder Khatri, Arkajyoti Chakraborty, Dinesh Kumar Vishwakarma, Mukesh Prasad
Emotion-guided Cross-domain Fake News Detection using Adversarial Domain Adaptation. ICON (2022)
Mohammad Sabih, Dinesh Kumar Vishwakarma
A novel framework for detection of motion and appearance-based Anomaly using ensemble learning and LSTMs. Expert Syst. Appl. 192 (2022)
Siddharth Yadav, Sahithi Bommareddy, Dinesh Kumar Vishwakarma
Robust and Generalized DeepFake Detection. ICCCNT (2022)
Arjun Choudhry, Inder Khatri, Arkajyoti Chakraborty, Dinesh Kumar Vishwakarma, Mukesh Prasad
Emotion-guided Cross-domain Fake News Detection using Adversarial Domain Adaptation. CoRR (2022)
Atish Sagar, Murtaza Hasan, Dhirendra Kumar Singh, Nadhir Al-Ansari, Debashis Chakraborty, Mam Chand Singh, Mir Asif Iquebal, Amit Kumar, Pankaj Malkani, Dinesh Kumar Vishwakarma, Ahmed Elbeltagi
Development of Smart Weighing Lysimeter for Measuring Evapotranspiration and Developing Crop Coefficient for Greenhouse Chrysanthemum. Sensors 22 (16) (2022)
Arjun Choudhry, Pankaj Gupta, Inder Khatri, Aaryan Gupta, Maxime Nicol, Marie-Jean Meurs, Dinesh Kumar Vishwakarma
Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora. CoRR (2022)
Inder Khatri, Aaryan Gupta, Arjun Choudhry, Aryan Tyagi, Dinesh Kumar Vishwakarma, Mukesh Prasad
CKS: A Community-based K-shell Decomposition Approach using Community Bridge Nodes for Influence Maximization. CoRR (2022)
Arjun Choudhry, Inder Khatri, Minni Jain, Dinesh Kumar Vishwakarma
An Emotion-Aware Multi-Task Approach to Fake News and Rumour Detection using Transfer Learning. CoRR (2022)
Priyanka Meel, Dinesh Kumar Vishwakarma
HAN, image captioning, and forensics ensemble multimodal fake news detection. Inf. Sci. 567 (2021)
Priyanka Meel, Dinesh Kumar Vishwakarma
Multi-modal Fusion using Fine-tuned Self-attention and Transfer Learning for Veracity Analysis of Web Information. CoRR (2021)
Deepika Varshney, Dinesh Kumar Vishwakarma
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)
Tej Singh, Dinesh Kumar Vishwakarma
A deeply coupled ConvNet for human activity recognition using dynamic and RGB images. Neural Comput. Appl. 33 (1) (2021)
Deepika Varshney, Dinesh Kumar Vishwakarma
ArtiMarker: A Novel Artificially Inflated Video Marking And Characterization Method on YouTube. ICCCSP (2021)
Deepika Varshney, Dinesh Kumar Vishwakarma
An Automated Multi-Web Platform Voting Framework to Predict Misleading Information Proliferated during COVID-19 Outbreak using Ensemble Method. CoRR (2021)
Tej Singh, Dinesh Kumar Vishwakarma
A deep multimodal network based on bottleneck layer features fusion for action recognition. Multim. Tools Appl. 80 (24) (2021)
Deepika Varshney, Dinesh Kumar Vishwakarma
A review on rumour prediction and veracity assessment in online social network. Expert Syst. Appl. 168 (2021)
Priyanka Meel, Dinesh Kumar Vishwakarma
A temporal ensembling based semi-supervised ConvNet for the detection of fake news articles. Expert Syst. Appl. 177 (2021)
Peya Mowar, Mini Jain, Ruchika Goel, Dinesh Kumar Vishwakarma
Clickbait in YouTube Prevention, Detection and Analysis of the Bait using Ensemble Learning. CoRR (2021)
Deepika Varshney, Dinesh Kumar Vishwakarma
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. 12 (9) (2021)
Divyansh Goel, Sakshi Jain, Dinesh Kumar Vishwakarma, Aryan Bansal
Automatic Image Colorization using U-Net. ICCCNT (2021)
Kunal Chaturvedi, Ali Braytee, Dinesh Kumar Vishwakarma, Muhammad Saqib, Domingo Mery, Mukesh Prasad
Automated Threat Objects Detection with Synthetic Data for Real-Time X-ray Baggage Inspection. IJCNN (2021)
Aadhar Dutta, Dinesh Kumar Vishwakarma
Personalized Music Recommendation System based on Streamer Streaming Trends. ICCCNT (2021)
Priyanka Meel, Dinesh Kumar Vishwakarma
Fake News Detection using Semi-Supervised Graph Convolutional Network. CoRR (2021)
Aditva Jain, Abhishek Sethi, Dinesh Kumar Vishwakarma, Aashima Jain
Ensembled Neural Network for Static Hand Gesture Recognition. ICCCNT (2021)
Dinesh Kumar Vishwakarma, Mayank Jindal, Ayush Mittal, Aditya Sharma
Multilevel profiling of situation and dialogue-based deep networks for movie genre classification using movie trailers. CoRR (2021)
Walid Hariri, Nadir Farah, Dinesh Kumar Vishwakarma
Deep and Shallow Covariance Feature Quantization for 3D Facial Expression Recognition. CoRR (2021)
Deepika Varshney, Dinesh Kumar Vishwakarma
A unified approach for detection of Clickbait videos on YouTube using cognitive evidences. Appl. Intell. 51 (7) (2021)
Mini Jain, Peya Mowar, Ruchika Goel, Dinesh Kumar Vishwakarma
Clickbait in Social Media: Detection and Analysis of the Bait. CISS (2021)
Chhavi Dhiman, Dinesh Kumar Vishwakarma, Paras Agarwal
Part-wise Spatio-temporal Attention Driven CNN-based 3D Human Action Recognition. ACM Trans. Multim. Comput. Commun. Appl. 17 (3) (2021)
Ashima Yadav, Dinesh Kumar Vishwakarma
A comparative study on bio-inspired algorithms for sentiment analysis. Clust. Comput. 23 (4) (2020)
Ashima Yadav, Dinesh Kumar Vishwakarma
A Multilingual Framework of CNN and Bi-LSTM for Emotion Classification. ICCCNT (2020)
Ashima Yadav, Dinesh Kumar Vishwakarma
Sentiment analysis using deep learning architectures: a review. Artif. Intell. Rev. 53 (6) (2020)
Mansi Agarwal, Maitree Leekha, Ramit Sawhney, Rajiv Ratn Shah, Rajesh Kumar Yadav, Dinesh Kumar Vishwakarma
MEMIS: Multimodal Emergency Management Information System. ECIR (1) (2020)
Ashima Yadav, Dinesh Kumar Vishwakarma
A unified framework of deep networks for genre classification using movie trailer. Appl. Soft Comput. 96 (2020)
Bhaye Malhotra, Dinesh Kumar Vishwakarma
Classification of Propagation Path and Tweets for Rumor Detection using Graphical Convolutional Networks and Transformer based Encodings. BigMM (2020)
Kuldeep Singh, Shantanu Rajora, Dinesh Kumar Vishwakarma, Gaurav Tripathi, Sandeep Kumar, Gurjit Singh Walia
Crowd anomaly detection using Aggregation of Ensembles of fine-tuned ConvNets. Neurocomputing 371 (2020)
Dinesh Kumar Vishwakarma
A two-fold transformation model for human action recognition using decisive pose. Cogn. Syst. Res. 61 (2020)
Gaurav Tripathi, Kuldeep Singh, Dinesh Kumar Vishwakarma
Violence recognition using convolutional neural network: A survey. J. Intell. Fuzzy Syst. 39 (5) (2020)
Priyanka Meel, Dinesh Kumar Vishwakarma
Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities. Expert Syst. Appl. 153 (2020)
Ankit Yadav, Dinesh Kumar Vishwakarma
Recent Developments in Generative Adversarial Networks: A Review (Workshop Paper). BigMM (2020)
Ashima Yadav, Dinesh Kumar Vishwakarma
A Deep Language-independent Network to analyze the impact of COVID-19 on the World via Sentiment Analysis. CoRR (2020)
Kunal Chaturvedi, Dinesh Kumar Vishwakarma
Face Recognition in an Unconstrained Environment using ConvNet. BDET (2020)
Ankit Yadav, Dinesh Kumar Vishwakarma
Person Re-Identification using Deep Learning Networks: A Systematic Review. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dinesh Kumar Vishwakarma