Simple and intelligent system to recognize the expression of speech-disabled person. - Dinesh Kumar Vishwakarma; Rajiv Kapoor (IHCI, 2012)

Integrated approach for human action recognition using edge spatial distribution, direction pixel and ℛ-transform. - Dinesh Kumar Vishwakarma; Rajiv Kapoor (Adv. Robotics, 2015)

Hybrid classifier based human activity recognition using the silhouette and cells. - Dinesh Kumar Vishwakarma; Rajiv Kapoor (Expert Syst. Appl., 2015)

A proposed unified framework for the recognition of human activity by exploiting the characteristics of action dynamics. - Dinesh Kumar Vishwakarma; Rajiv Kapoor; Ashish Dhiman 001 (Robotics Auton. Syst., 2016)

Fast Deformable Model for Pedestrian Detection with Haar-like features. - Kuang-Pen Chou; Mukesh Prasad; Deepak Puthal; Ping-Hung Chen; Dinesh Kumar Vishwakarma; Suresh Sundaram 002; Chin-Teng Lin; Wen-Chieh Lin (SSCI, 2017)

An efficient interpretation of hand gestures to control smart interactive television. - Dinesh Kumar Vishwakarma; Rajiv Kapoor (Int. J. Comput. Vis. Robotics, 2017)

Human Activity Recognition Based on Spatial Distribution of Gradients at Sublevels of Average Energy Silhouette Images. - Dinesh Kumar Vishwakarma; Kuldeep Singh 002 (IEEE Trans. Cogn. Dev. Syst., 2017)

Covariate Conscious Approach for Gait Recognition Based Upon Zernike Moment Invariants. - Himanshu Aggarwal; Dinesh Kumar Vishwakarma (IEEE Trans. Cogn. Dev. Syst., 2018)

A Deep Structure of Person Re-Identification Using Multi-Level Gaussian Models. - Dinesh Kumar Vishwakarma; Sakshi Upadhyay (IEEE Trans. Multi Scale Comput. Syst., 2018)

Multimodal Sentiment Analysis via RNN variants. - Ayush Agarwal; Ashima Yadav; Dinesh Kumar Vishwakarma (BCD, 2019)

Skeleton-Based View Invariant Deep Features for Human Activity Recognition. - Chhavi Dhiman; Manan Saxena; Dinesh Kumar Vishwakarma (BigMM, 2019)

Deep Learning Framework for Single and Dyadic Human Activity Recognition. - Tej Singh; Shivam Rustagi; Aakash Garg; Dinesh Kumar Vishwakarma (BigMM, 2019)

XRA-Net Framework for Visual Sentiments Analysis. - Ashima Yadav; Ayush Agarwal; Dinesh Kumar Vishwakarma (BigMM, 2019)

Video benchmarks of human action datasets: a review. - Tej Singh; Dinesh Kumar Vishwakarma (Artif. Intell. Rev., 2019)

Detection and veracity analysis of fake news via scrapping and authenticating the web search. - Dinesh Kumar Vishwakarma; Deepika Varshney; Ashima Yadav (Cogn. Syst. Res., 2019)

A Hybrid Framework for Action Recognition in Low-Quality Video Sequences. - Tej Singh; Dinesh Kumar Vishwakarma (CoRR, 2019)

Skeleton based Activity Recognition by Fusing Part-wise Spatio-temporal and Attention Driven Residues. - Chhavi Dhiman; Dinesh Kumar Vishwakarma; Paras Aggarwal (CoRR, 2019)

View-invariant Deep Architecture for Human Action Recognition using late fusion. - Chhavi Dhiman; Dinesh Kumar Vishwakarma (CoRR, 2019)

A review of state-of-the-art techniques for abnormal human activity recognition. - Chhavi Dhiman; Dinesh Kumar Vishwakarma (Eng. Appl. Artif. Intell., 2019)

Blind image deblurring via gradient orientation-based clustered coupled sparse dictionaries. - Kuldeep Singh 002; Dinesh Kumar Vishwakarma; Gurjit Singh Walia (Pattern Anal. Appl., 2019)

Convolutional neural networks for crowd behaviour analysis: a survey. - Gaurav Tripathi; Kuldeep Singh 002; Dinesh Kumar Vishwakarma (Vis. Comput., 2019)

A unified model for human activity recognition using spatial distribution of gradients and difference of Gaussian kernel. - Dinesh Kumar Vishwakarma; Chhavi Dhiman (Vis. Comput., 2019)

Face Recognition in an Unconstrained Environment using ConvNet. - Kunal Chaturvedi; Dinesh Kumar Vishwakarma (BDET, 2020)

Classification of Propagation Path and Tweets for Rumor Detection using Graphical Convolutional Networks and Transformer based Encodings. - Bhaye Malhotra; Dinesh Kumar Vishwakarma (BigMM, 2020)

A Weighted Text Representation framework for Sentiment Analysis of Medical Drug Reviews. - Ashima Yadav; Dinesh Kumar Vishwakarma (BigMM, 2020)

Recent Developments in Generative Adversarial Networks: A Review (Workshop Paper). - Ankit Yadav; Dinesh Kumar Vishwakarma (BigMM, 2020)

MEMIS: Multimodal Emergency Management Information System. - Mansi Agarwal; Maitree Leekha; Ramit Sawhney; Rajiv Ratn Shah; Rajesh Kumar Yadav; Dinesh Kumar Vishwakarma (ECIR (1), 2020)

A Multilingual Framework of CNN and Bi-LSTM for Emotion Classification. - Ashima Yadav; Dinesh Kumar Vishwakarma (ICCCNT, 2020)

Detecting Arson and Stone Pelting in Extreme Violence: A Deep Learning Based Identification Approach. - Gaurav Tripathi; Kuldeep Singh 002; Dinesh Kumar Vishwakarma (IHCI (1), 2020)

Sentiment analysis using deep learning architectures: a review. - Ashima Yadav; Dinesh Kumar Vishwakarma (Artif. Intell. Rev., 2020)

A unified framework of deep networks for genre classification using movie trailer. - Ashima Yadav; Dinesh Kumar Vishwakarma (Appl. Soft Comput., 2020)

A comparative study on bio-inspired algorithms for sentiment analysis. - Ashima Yadav; Dinesh Kumar Vishwakarma (Clust. Comput., 2020)

A two-fold transformation model for human action recognition using decisive pose. - Dinesh Kumar Vishwakarma (Cogn. Syst. Res., 2020)

A Deep Language-independent Network to analyze the impact of COVID-19 on the World via Sentiment Analysis. - Ashima Yadav; Dinesh Kumar Vishwakarma (CoRR, 2020)

Person Re-Identification using Deep Learning Networks: A Systematic Review. - Ankit Yadav; Dinesh Kumar Vishwakarma (CoRR, 2020)

Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities. - Priyanka Meel; Dinesh Kumar Vishwakarma (Expert Syst. Appl., 2020)

Crowd anomaly detection using Aggregation of Ensembles of fine-tuned ConvNets. - Kuldeep Singh 002; Shantanu Rajora; Dinesh Kumar Vishwakarma; Gaurav Tripathi; Sandeep Kumar 006; Gurjit Singh Walia (Neurocomputing, 2020)

Violence recognition using convolutional neural network: A survey. - Gaurav Tripathi; Kuldeep Singh 002; Dinesh Kumar Vishwakarma (J. Intell. Fuzzy Syst., 2020)

A deep learning architecture of RA-DLNet for visual sentiment analysis. - Ashima Yadav; Dinesh Kumar Vishwakarma (Multim. Syst., 2020)

View-Invariant Deep Architecture for Human Action Recognition Using Two-Stream Motion and Shape Temporal Dynamics. - Chhavi Dhiman; Dinesh Kumar Vishwakarma (IEEE Trans. Image Process., 2020)

Clickbait in Social Media: Detection and Analysis of the Bait. - Mini Jain; Peya Mowar; Ruchika Goel; Dinesh Kumar Vishwakarma (CISS, 2021)

Personalized Music Recommendation System based on Streamer Streaming Trends. - Aadhar Dutta; Dinesh Kumar Vishwakarma (ICCCNT, 2021)

Automatic Image Colorization using U-Net. - Divyansh Goel; Sakshi Jain; Dinesh Kumar Vishwakarma; Aryan Bansal (ICCCNT, 2021)

Ensembled Neural Network for Static Hand Gesture Recognition. - Aditva Jain; Abhishek Sethi; Dinesh Kumar Vishwakarma; Aashima Jain (ICCCNT, 2021)

ArtiMarker: A Novel Artificially Inflated Video Marking And Characterization Method on YouTube. - Deepika Varshney; Dinesh Kumar Vishwakarma (ICCCSP, 2021)

Automated Threat Objects Detection with Synthetic Data for Real-Time X-ray Baggage Inspection. - Kunal Chaturvedi; Ali Braytee; Dinesh Kumar Vishwakarma; Muhammad Saqib; Domingo Mery; Mukesh Prasad (IJCNN, 2021)

A unified approach for detection of Clickbait videos on YouTube using cognitive evidences. - Deepika Varshney; Dinesh Kumar Vishwakarma (Appl. Intell., 2021)

Deep and Shallow Covariance Feature Quantization for 3D Facial Expression Recognition. - Walid Hariri; Nadir Farah; Dinesh Kumar Vishwakarma (CoRR, 2021)

Multilevel profiling of situation and dialogue-based deep networks for movie genre classification using movie trailers. - Dinesh Kumar Vishwakarma; Mayank Jindal; Ayush Mittal; Aditya Sharma (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. - Deepika Varshney; Dinesh Kumar Vishwakarma (CoRR, 2021)

Fake News Detection using Semi-Supervised Graph Convolutional Network. - Priyanka Meel; Dinesh Kumar Vishwakarma (CoRR, 2021)

Clickbait in YouTube Prevention, Detection and Analysis of the Bait using Ensemble Learning. - Peya Mowar; Mini Jain; Ruchika Goel; Dinesh Kumar Vishwakarma (CoRR, 2021)

A temporal ensembling based semi-supervised ConvNet for the detection of fake news articles. - Priyanka Meel; Dinesh Kumar Vishwakarma (Expert Syst. Appl., 2021)

A review on rumour prediction and veracity assessment in online social network. - Deepika Varshney; Dinesh Kumar Vishwakarma (Expert Syst. Appl., 2021)

HAN, image captioning, and forensics ensemble multimodal fake news detection. - Priyanka Meel; Dinesh Kumar Vishwakarma (Inf. Sci., 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. - Deepika Varshney; Dinesh Kumar Vishwakarma (J. Ambient Intell. Humaniz. Comput., 2021)

A deep multimodal network based on bottleneck layer features fusion for action recognition. - Tej Singh; Dinesh Kumar Vishwakarma (Multim. Tools Appl., 2021)

A deeply coupled ConvNet for human activity recognition using dynamic and RGB images. - Tej Singh; Dinesh Kumar Vishwakarma (Neural Comput. Appl., 2021)

Part-wise Spatio-temporal Attention Driven CNN-based 3D Human Action Recognition. - Chhavi Dhiman; Dinesh Kumar Vishwakarma; Paras Agarwal (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Skin Disease Detection Using Saliency Maps and Segmentation Techniques. - Rishit Toteja; Dhruv Gupta; Vibhor Gautam; Dinesh Kumar Vishwakarma (CVIP (1), 2022)

Robust and Generalized DeepFake Detection. - Siddharth Yadav; Sahithi Bommareddy; Dinesh Kumar Vishwakarma (ICCCNT, 2022)

Emotion-guided Cross-domain Fake News Detection using Adversarial Domain Adaptation. - Arjun Choudhry; Inder Khatri; Arkajyoti Chakraborty; Dinesh Kumar Vishwakarma; Mukesh Prasad (ICON, 2022)

A Spreader Ranking Algorithm for Extremely Low-budget Influence Maximization in Social Networks using Community Bridge Nodes. - Aaryan Gupta; Inder Khatri; Arjun Choudhry; Pranav Chandhok; Dinesh Kumar Vishwakarma; Mukesh Prasad (CoRR, 2022)

Influence Maximization in Social Networks using Discretized Harris Hawks Optimization Algorithm and Neighbour Scout Strategy. - Inder Khatri; Arjun Choudhry; Aryaman Rao; Aryan Tyagi; Dinesh Kumar Vishwakarma; Mukesh Prasad (CoRR, 2022)

An Emotion-Aware Multi-Task Approach to Fake News and Rumour Detection using Transfer Learning. - Arjun Choudhry; Inder Khatri; Minni Jain; Dinesh Kumar Vishwakarma (CoRR, 2022)

An Emotion-guided Approach to Domain Adaptive Fake News Detection using Adversarial Learning. - Arkajyoti Chakraborty; Inder Khatri; Arjun Choudhry; Pankaj Gupta 004; Dinesh Kumar Vishwakarma; Mukesh Prasad (CoRR, 2022)

CKS: A Community-based K-shell Decomposition Approach using Community Bridge Nodes for Influence Maximization. - Inder Khatri; Aaryan Gupta; Arjun Choudhry; Aryan Tyagi; Dinesh Kumar Vishwakarma; Mukesh Prasad (CoRR, 2022)

Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora. - Arjun Choudhry; Pankaj Gupta 004; Inder Khatri; Aaryan Gupta; Maxime Nicol; Marie-Jean Meurs; Dinesh Kumar Vishwakarma (CoRR, 2022)

Watershed prioritization using morphometric analysis by MCDM approaches. - Purabi Sarkar; Pankaj Kumar; Dinesh Kumar Vishwakarma; Alaknanda Ashok; Ahmed Elbeltagi; Sandeep Gupta; Alban Kuriqi (Ecol. Informatics, 2022)

A sparse coded composite descriptor for human activity recognition. - Kuldeep Singh 002; Chhavi Dhiman; Dinesh Kumar Vishwakarma; Himanshu Makhija; Gurjit Singh Walia (Expert Syst. J. Knowl. Eng., 2022)

A novel framework for detection of motion and appearance-based Anomaly using ensemble learning and LSTMs. - Mohammad Sabih; Dinesh Kumar Vishwakarma (Expert Syst. Appl., 2022)

A literature review and perspectives in deepfakes: generation, detection, and applications. - Deepak Dagar; Dinesh Kumar Vishwakarma (Int. J. Multim. Inf. Retr., 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. - Deepika Varshney; Dinesh Kumar Vishwakarma (Int. J. Multim. Inf. Retr., 2022)

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

A Language-independent Network to Analyze the Impact of COVID-19 on the World via Sentiment Analysis. - Ashima Yadav; Dinesh Kumar Vishwakarma (ACM Trans. Internet Techn., 2022)

Crowd anomaly detection with LSTMs using optical features and domain knowledge for improved inferring. - Mohammad Sabih; Dinesh Kumar Vishwakarma (Vis. Comput., 2022)

An Emotion-Guided Approach to Domain Adaptive Fake News Detection Using Adversarial Learning (Student Abstract). - Arkajyoti Chakraborty; Inder Khatri; Arjun Choudhry; Pankaj Gupta 004; Dinesh Kumar Vishwakarma; Mukesh Prasad (AAAI, 2023)

Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora (Student Abstract). - Arjun Choudhry; Pankaj Gupta 004; Inder Khatri; Aaryan Gupta; Maxime Nicol; Marie-Jean Meurs; Dinesh Kumar Vishwakarma (AAAI, 2023)

CKS: A Community-Based K-shell Decomposition Approach Using Community Bridge Nodes for Influence Maximization (Student Abstract). - Inder Khatri; Aaryan Gupta; Arjun Choudhry; Aryan Tyagi; Dinesh Kumar Vishwakarma; Mukesh Prasad (AAAI, 2023)

Adversarial Adaptation for French Named Entity Recognition. - Arjun Choudhry; Inder Khatri; Pankaj Gupta 004; Aaryan Gupta; Maxime Nicol; Marie-Jean Meurs; Dinesh Kumar Vishwakarma (ECIR (2), 2023)

A Comparative Study on Different Machine Learning Algorithms to Detect PCOS. - Rithwick Sethi; Dinesh Kumar Vishwakarma; Sreetam Ganguly; Raj Ray (ICCCNT, 2023)

Hybrid XGBoost and Extreme Machine Learning Algorithm on Diabetes Disease Prediction. - Dinesh Kumar Vishwakarma; Amaan Bilal; Abrar Zahoor (ICCCNT, 2023)

Deceiving Deep Learning-based Fraud SMS Detection Models through Adversarial Attacks. - Ashish Bajaj; Dinesh Kumar Vishwakarma (SITIS, 2023)

Optimizing Electric Vehicle Efficiency with Real-Time Telemetry using Machine Learning. - Aryaman Rao; Harshit Gupta; Parth Singh; Shivam Mittal; Utkrash Singh; Dinesh Kumar Vishwakarma (CoRR, 2023)

An automated multi-web platform voting framework to predict misleading information proliferated during COVID-19 outbreak using ensemble method. - Deepika Varshney; Dinesh Kumar Vishwakarma (Data Knowl. Eng., 2023)

VABDC-Net: A framework for Visual-Caption Sentiment Recognition via spatio-depth visual attention and bi-directional caption processing. - Ananya Pandey; Dinesh Kumar Vishwakarma (Knowl. Based Syst., 2023)

A framework of fake news detection on web platform using ConvNet. - Dinesh Kumar Vishwakarma; Priyanka Meel; Ashima Yadav; Kuldeep Singh 002 (Soc. Netw. Anal. Min., 2023)

A Deep Multi-level Attentive Network for Multimodal Sentiment Analysis. - Ashima Yadav; Dinesh Kumar Vishwakarma (ACM Trans. Multim. Comput. Commun. Appl., 2023)

HISNet: a Human Image Segmentation Network aiding bokeh effect generation. - Shaurya Gupta; Dinesh Kumar Vishwakarma (Multim. Tools Appl., 2023)

Framework for detection of probable clues to predict misleading information proliferated during COVID-19 outbreak. - Deepika Varshney; Dinesh Kumar Vishwakarma (Neural Comput. Appl., 2023)

Obscenity Detection in Videos Through a Sequential ConvNet Pipeline Classifier. - Neil Gautam; Dinesh Kumar Vishwakarma (IEEE Trans. Cogn. Dev. Syst., 2023)

A deep neural network-based hybrid recommender system with user-user networks. - Ayush Tanwar; Dinesh Kumar Vishwakarma (Multim. Tools Appl., 2023)

A literature survey on multimodal and multilingual automatic hate speech identification. - Anusha Chhabra; Dinesh Kumar Vishwakarma (Multim. Syst., 2023)

GLUE analysis of meteorological-based crop coefficient predictions to derive the explicit equation. - Ahmed Elbeltagi; Akram Seifi; Mohammad Ehteram; Bilel Zerouali; Dinesh Kumar Vishwakarma; Kusum Pandey (Neural Comput. Appl., 2023)

HOMOCHAR: A novel adversarial attack framework for exposing the vulnerability of text based neural sentiment classifiers. - Ashish Bajaj; Dinesh Kumar Vishwakarma (Eng. Appl. Artif. Intell., 2023)

Multimodal hate speech detection via multi-scale visual kernels and knowledge distillation architecture. - Anusha Chhabra; Dinesh Kumar Vishwakarma (Eng. Appl. Artif. Intell., 2023)

Multi-modal fusion using Fine-tuned Self-attention and transfer learning for veracity analysis of web information. - Priyanka Meel; Dinesh Kumar Vishwakarma (Expert Syst. Appl., 2023)

Evading text based emotion detection mechanism via adversarial attacks. - Ashish Bajaj; Dinesh Kumar Vishwakarma (Neurocomputing, 2023)

Influence Maximization in social networks using discretized Harris' Hawks Optimization algorithm. - Inder Khatri; Arjun Choudhry; Aryaman Rao; Aryan Tyagi; Dinesh Kumar Vishwakarma; Mukesh Prasad (Appl. Soft Comput., 2023)

MRT-Net: Auto-adaptive weighting of manipulation residuals and texture clues for face manipulation detection. - Ankit Yadav; Dinesh Kumar Vishwakarma (Expert Syst. Appl., 2023)

DQSSA: A Quantum-Inspired Solution for Maximizing Influence in Online Social Networks (Student Abstract). - Aryaman Rao; Parth Singh; Dinesh Kumar Vishwakarma; Mukesh Prasad (AAAI, 2024)

Audio Based Machine Fault Diagnosis using Hybrid Feature Extraction and Ensemble Learning. - Shashvat Singhal; Bhavya Goel; Kshitij Agrawal; Rithwick Sethi; Shashi Sah; Rachit Jain; Dinesh Kumar Vishwakarma (ICCCNT, 2024)

Optimizing Electric Vehicle Efficiency with Real-Time Telemetry using Machine Learning. - Aryaman Rao; Harshit Gupta; Parth Singh; Shivam Mittal; Utkarsh Singh; Dinesh Kumar Vishwakarma (ICMRE, 2024)

Progress, achievements, and challenges in multimodal sentiment analysis using deep learning: A survey. - Ananya Pandey; Dinesh Kumar Vishwakarma (Appl. Soft Comput., 2024)

A Visually Attentive Splice Localization Network with Multi-Domain Feature Extractor and Multi-Receptive Field Upsampler. - Ankit Yadav; Dinesh Kumar Vishwakarma (CoRR, 2024)

Towards Effective Image Forensics via A Novel Computationally Efficient Framework and A New Image Splice Dataset. - Ankit Yadav; Dinesh Kumar Vishwakarma (CoRR, 2024)

Contrastive Learning-based Multi Modal Architecture for Emoticon Prediction by Employing Image-Text Pairs. - Ananya Pandey; Dinesh Kumar Vishwakarma (CoRR, 2024)

Modelling Visual Semantics via Image Captioning to extract Enhanced Multi-Level Cross-Modal Semantic Incongruity Representation with Attention for Multimodal Sarcasm Detection. - Sajal Aggarwal; Ananya Pandey; Dinesh Kumar Vishwakarma (CoRR, 2024)

VyAnG-Net: A Novel Multi-Modal Sarcasm Recognition Model by Uncovering Visual, Acoustic and Glossary Features. - Ananya Pandey; Dinesh Kumar Vishwakarma (CoRR, 2024)

Target-Dependent Multimodal Sentiment Analysis Via Employing Visual-to Emotional-Caption Translation Network using Visual-Caption Pairs. - Ananya Pandey; Dinesh Kumar Vishwakarma (CoRR, 2024)

Tex-ViT: A Generalizable, Robust, Texture-based dual-branch cross-attention deepfake detector. - Deepak Dagar; Dinesh Kumar Vishwakarma (CoRR, 2024)

Hate Content Detection via Novel Pre-Processing Sequencing and Ensemble Methods. - Anusha Chhabra; Dinesh Kumar Vishwakarma (CoRR, 2024)

MHS-STMA: Multimodal Hate Speech Detection via Scalable Transformer-Based Multilevel Attention Framework. - Anusha Chhabra; Dinesh Kumar Vishwakarma (CoRR, 2024)

A comprehensive review on Federated Learning for Data-Sensitive Application: Open issues & challenges. - Manu Narula; Jasraj Meena; Dinesh Kumar Vishwakarma (Eng. Appl. Artif. Intell., 2024)

Exposing the Achilles' heel of textual hate speech classifiers using indistinguishable adversarial examples. - Sajal Aggarwal; Dinesh Kumar Vishwakarma (Expert Syst. Appl., 2024)

HumanPoseNet: An all-transformer architecture for pose estimation with efficient patch expansion and attentional feature refinement. - Varun Gupta; Ankit Yadav; Dinesh Kumar Vishwakarma (Expert Syst. Appl., 2024)

Datasets, clues and state-of-the-arts for multimedia forensics: An extensive review. - Ankit Yadav; Dinesh Kumar Vishwakarma (Expert Syst. Appl., 2024)

Deep learning algorithms for person re-identification: sate-of-the-art and research challenges. - Ankit Yadav; Dinesh Kumar Vishwakarma (Multim. Tools Appl., 2024)

Uncovering visual attention-based multi-level tampering traces for face forgery detection. - Ankit Yadav; Dhruv Gupta; Dinesh Kumar Vishwakarma (Signal Image Video Process., 2024)

AW-MSA: Adaptively weighted multi-scale attentional features for DeepFake detection. - Ankit Yadav; Dinesh Kumar Vishwakarma (Eng. Appl. Artif. Intell., 2024)

Fight detection with spatial and channel wise attention-based ConvLSTM model. - Kunal Chaturvedi; Chhavi Dhiman; Dinesh Kumar Vishwakarma (Expert Syst. J. Knowl. Eng., 2024)

A state-of-the-art review on adversarial machine learning in image classification. - Ashish Bajaj; Dinesh Kumar Vishwakarma (Multim. Tools Appl., 2024)

A review of vision-based indoor HAR: state-of-the-art, challenges, and future prospects. - Geetanjali Bhola; Dinesh Kumar Vishwakarma (Multim. Tools Appl., 2024)

An Emotion-Aware Multitask Approach to Fake News and Rumor Detection Using Transfer Learning. - Arjun Choudhry; Inder Khatri; Minni Jain; Dinesh Kumar Vishwakarma (IEEE Trans. Comput. Soc. Syst., 2024)

Toward effective image forensics via a novel computationally efficient framework and a new image splice dataset. - Ankit Yadav; Dinesh Kumar Vishwakarma (Signal Image Video Process., 2024)

Non-Alpha-Num: a novel architecture for generating adversarial examples for bypassing NLP-based clickbait detection mechanisms. - Ashish Bajaj; Dinesh Kumar Vishwakarma (Int. J. Inf. Sec., 2024)

Tex-Net: texture-based parallel branch cross-attention generalized robust Deepfake detector. - Deepak Dagar; Dinesh Kumar Vishwakarma (Multim. Syst., 2024)

Shallowfake and deepfake image manipulation localization using noise and RGB-based dual branch method. - Deepak Dagar; Dinesh Kumar Vishwakarma (Signal Image Video Process., 2024)

A human activity recognition framework in videos using segmented human subject focus. - Shaurya Gupta; Dinesh Kumar Vishwakarma; Nitin Kumar Puri (Vis. Comput., 2024)

Evaluating statistical and machine learning techniques for sugarcane yield forecasting in the tarai region of North India. - Anurag Satpathi; Neha Chand; Parul Setiya; Rajeev Ranjan; Ajeet Singh Nain; Dinesh Kumar Vishwakarma; Kashif Saleem; Ahmad J. Obaidullah; Krishna Kumar Yadav; Ozgur Kisi (Comput. Electron. Agric., 2025)

Navigating sentiment analysis through fusion, learning, utterance, and attention Methods: An extensive four-fold perspective survey. - Bhavana Verma; Priyanka Meel; Dinesh Kumar Vishwakarma (Eng. Appl. Artif. Intell., 2025)

Federated workload-aware quantized framework for secure learning in data-sensitive applications. - Manu Narula; Jasraj Meena; Dinesh Kumar Vishwakarma (Future Gener. Comput. Syst., 2025)

HOMOGRAPH: a novel textual adversarial attack architecture to unmask the susceptibility of linguistic acceptability classifiers. - Sajal Aggarwal; Ashish Bajaj; Dinesh Kumar Vishwakarma (Int. J. Inf. Sec., 2025)

A noise and edge extraction-based dual-branch method for shallowfake and deepfake localization. - Deepak Dagar; Dinesh Kumar Vishwakarma (Signal Image Video Process., 2025)

FreqFaceNet: an enhanced transformer architecture with dual-order frequency attention for deepfake detection. - Varun Gupta; Vaibhav Srivastava; Ankit Yadav; Dinesh Kumar Vishwakarma; Narendra Kumar (Appl. Intell., 2025)

Weighted voting ensemble of hybrid CNN-LSTM Models for vision-based human activity recognition. - Sajal Aggarwal; Geetanjali Bhola; Dinesh Kumar Vishwakarma (Multim. Tools Appl., 2025)

Extracting cross-modal semantic incongruity with attention for multimodal sarcasm detection. - Sajal Aggarwal; Ananya Pandey; Dinesh Kumar Vishwakarma (Appl. Intell., 2025)

Aspect-based multimodal sentiment analysis via employing visual-to-emotional-caption translation network using visual-caption pairs. - Ananya Pandey; Dinesh Kumar Vishwakarma (Lang. Resour. Evaluation, 2025)

Investigating the performance vs. computational complexity tradeoff in cross-domain fire risk detection. - Abhishek Verma; Virender Ranga; Dinesh Kumar Vishwakarma (Signal Image Video Process., 2025)

Photograph-based machine learning approach for automated detection and differentiation of aerial blight disease in soybean crops. - Mukta Nainwal; Anurag Satpathi; Saqib Shamsi; Ali Salem; Ajeet Singh Nain; Dinesh Kumar Vishwakarma; Ahmed Elbeltagi; Salah El-Hendawy; Mohamed A. Mattar (J. Big Data, 2025)