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ORCIDDinesh Kumar Vishwakarma
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Journal Articles
- 2025
[j72]Sajal Aggarwal, Ashish Bajaj, Dinesh Kumar Vishwakarma:
HOMOGRAPH: a novel textual adversarial attack architecture to unmask the susceptibility of linguistic acceptability classifiers. Int. J. Inf. Sec. 24(1): 6 (2025)- 2024
- [j71]Ananya Pandey
, Dinesh Kumar Vishwakarma:
Progress, achievements, and challenges in multimodal sentiment analysis using deep learning: A survey. Appl. Soft Comput. 152: 111206 (2024) - [j70]Ankit Yadav, Dinesh Kumar Vishwakarma:
AW-MSA: Adaptively weighted multi-scale attentional features for DeepFake detection. Eng. Appl. Artif. Intell. 127(Part B): 107443 (2024) - [j69]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: 108128 (2024) - [j68]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) - [j67]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: 122894 (2024) - [j66]Ankit Yadav, Dinesh Kumar Vishwakarma:
Datasets, clues and state-of-the-arts for multimedia forensics: An extensive review. Expert Syst. Appl. 249: 123756 (2024) - [j65]Sajal Aggarwal, Dinesh Kumar Vishwakarma:
Exposing the Achilles' heel of textual hate speech classifiers using indistinguishable adversarial examples. Expert Syst. Appl. 254: 124278 (2024) - [j64]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): 2711-2737 (2024) - [j63]Deepak Dagar, Dinesh Kumar Vishwakarma:
Tex-Net: texture-based parallel branch cross-attention generalized robust Deepfake detector. Multim. Syst. 30(4): 233 (2024) - [j62]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): 1965-2005 (2024) - [j61]Ashish Bajaj, Dinesh Kumar Vishwakarma:
A state-of-the-art review on adversarial machine learning in image classification. Multim. Tools Appl. 83(3): 9351-9416 (2024) - [j60]Ankit Yadav, Dinesh Kumar Vishwakarma:
Deep learning algorithms for person re-identification: sate-of-the-art and research challenges. Multim. Tools Appl. 83(8): 22005-22054 (2024) - [j59]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): 1259-1272 (2024) - [j58]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): 3341-3352 (2024) - [j57]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): 7065-7077 (2024) - [j56]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): 588-599 (2024) - [j55]Shaurya Gupta, Dinesh Kumar Vishwakarma, Nitin Kumar Puri:
A human activity recognition framework in videos using segmented human subject focus. Vis. Comput. 40(10): 6983-6999 (2024) - 2023
- [j54]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): 111037 (2023) - [j53]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: 102103 (2023) - [j52]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: 106815 (2023) - [j51]Anusha Chhabra, Dinesh Kumar Vishwakarma:
Multimodal hate speech detection via multi-scale visual kernels and knowledge distillation architecture. Eng. Appl. Artif. Intell. 126: 106991 (2023) - [j50]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): 120537 (2023) - [j49]Ankit Yadav, Dinesh Kumar Vishwakarma:
MRT-Net: Auto-adaptive weighting of manipulation residuals and texture clues for face manipulation detection. Expert Syst. Appl. 232: 120898 (2023) - [j48]Ashish Bajaj, Dinesh Kumar Vishwakarma:
Evading text based emotion detection mechanism via adversarial attacks. Neurocomputing 558: 126787 (2023) - [j47]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: 110515 (2023) - [j46]Anusha Chhabra, Dinesh Kumar Vishwakarma:
A literature survey on multimodal and multilingual automatic hate speech identification. Multim. Syst. 29(3): 1203-1230 (2023) - [j45]Shaurya Gupta, Dinesh Kumar Vishwakarma:
HISNet: a Human Image Segmentation Network aiding bokeh effect generation. Multim. Tools Appl. 82(8): 12469-12492 (2023) - [j44]Ayush Tanwar, Dinesh Kumar Vishwakarma:
A deep neural network-based hybrid recommender system with user-user networks. Multim. Tools Appl. 82(10): 15613-15633 (2023) - [j43]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): 5999-6013 (2023) - [j42]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): 14799-14824 (2023) - [j41]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): 24 (2023) - [j40]Neil Gautam, Dinesh Kumar Vishwakarma:
Obscenity Detection in Videos Through a Sequential ConvNet Pipeline Classifier. IEEE Trans. Cogn. Dev. Syst. 15(1): 310-318 (2023) - [j39]Ashima Yadav, Dinesh Kumar Vishwakarma:
A Deep Multi-level Attentive Network for Multimodal Sentiment Analysis. ACM Trans. Multim. Comput. Commun. Appl. 19(1): 15:1-15:19 (2023) - 2022
- [j38]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: 101763 (2022) - [j37]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) - [j36]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: 116394 (2022) - [j35]Deepak Dagar, Dinesh Kumar Vishwakarma:
A literature review and perspectives in deepfakes: generation, detection, and applications. Int. J. Multim. Inf. Retr. 11(3): 219-289 (2022) - [j34]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): 445-459 (2022) - [j33]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): 6239 (2022) - [j32]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): 28:1-28:30 (2022) - [j31]Mohammad Sabih, Dinesh Kumar Vishwakarma:
Crowd anomaly detection with LSTMs using optical features and domain knowledge for improved inferring. Vis. Comput. 38(5): 1719-1730 (2022) - 2021
- [j30]Deepika Varshney, Dinesh Kumar Vishwakarma:
A unified approach for detection of Clickbait videos on YouTube using cognitive evidences. Appl. Intell. 51(7): 4214-4235 (2021) - [j29]Deepika Varshney, Dinesh Kumar Vishwakarma:
A review on rumour prediction and veracity assessment in online social network. Expert Syst. Appl. 168: 114208 (2021) - [j28]Priyanka Meel, Dinesh Kumar Vishwakarma:
A temporal ensembling based semi-supervised ConvNet for the detection of fake news articles. Expert Syst. Appl. 177: 115002 (2021) - [j27]Priyanka Meel, Dinesh Kumar Vishwakarma:
HAN, image captioning, and forensics ensemble multimodal fake news detection. Inf. Sci. 567: 23-41 (2021) - [j26]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): 8961-8974 (2021) - [j25]Tej Singh, Dinesh Kumar Vishwakarma:
A deep multimodal network based on bottleneck layer features fusion for action recognition. Multim. Tools Appl. 80(24): 33505-33525 (2021) - [j24]Tej Singh, Dinesh Kumar Vishwakarma:
A deeply coupled ConvNet for human activity recognition using dynamic and RGB images. Neural Comput. Appl. 33(1): 469-485 (2021) - [j23]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): 86:1-86:24 (2021) - 2020
- [j22]Ashima Yadav, Dinesh Kumar Vishwakarma:
Sentiment analysis using deep learning architectures: a review. Artif. Intell. Rev. 53(6): 4335-4385 (2020) - [j21]Ashima Yadav, Dinesh Kumar Vishwakarma:
A unified framework of deep networks for genre classification using movie trailer. Appl. Soft Comput. 96: 106624 (2020) - [j20]Ashima Yadav, Dinesh Kumar Vishwakarma:
A comparative study on bio-inspired algorithms for sentiment analysis. Clust. Comput. 23(4): 2969-2989 (2020) - [j19]Dinesh Kumar Vishwakarma:
A two-fold transformation model for human action recognition using decisive pose. Cogn. Syst. Res. 61: 1-13 (2020) - [j18]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: 112986 (2020) - [j17]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: 188-198 (2020) - [j16]Gaurav Tripathi, Kuldeep Singh, Dinesh Kumar Vishwakarma:
Violence recognition using convolutional neural network: A survey. J. Intell. Fuzzy Syst. 39(5): 7931-7952 (2020) - [j15]Ashima Yadav, Dinesh Kumar Vishwakarma:
A deep learning architecture of RA-DLNet for visual sentiment analysis. Multim. Syst. 26(4): 431-451 (2020) - [j14]Chhavi Dhiman, Dinesh Kumar Vishwakarma:
View-Invariant Deep Architecture for Human Action Recognition Using Two-Stream Motion and Shape Temporal Dynamics. IEEE Trans. Image Process. 29: 3835-3844 (2020) - 2019
- [j13]Tej Singh, Dinesh Kumar Vishwakarma:
Video benchmarks of human action datasets: a review. Artif. Intell. Rev. 52(2): 1107-1154 (2019) - [j12]Dinesh Kumar Vishwakarma, Deepika Varshney, Ashima Yadav:
Detection and veracity analysis of fake news via scrapping and authenticating the web search. Cogn. Syst. Res. 58: 217-229 (2019) - [j11]Chhavi Dhiman, Dinesh Kumar Vishwakarma:
A review of state-of-the-art techniques for abnormal human activity recognition. Eng. Appl. Artif. Intell. 77: 21-45 (2019) - [j10]Kuldeep Singh, Dinesh Kumar Vishwakarma, Gurjit Singh Walia:
Blind image deblurring via gradient orientation-based clustered coupled sparse dictionaries. Pattern Anal. Appl. 22(2): 549-558 (2019) - [j9]Gaurav Tripathi, Kuldeep Singh, Dinesh Kumar Vishwakarma:
Convolutional neural networks for crowd behaviour analysis: a survey. Vis. Comput. 35(5): 753-776 (2019) - [j8]Dinesh Kumar Vishwakarma, Chhavi Dhiman:
A unified model for human activity recognition using spatial distribution of gradients and difference of Gaussian kernel. Vis. Comput. 35(11): 1595-1613 (2019) - 2018
- [j7]Himanshu Aggarwal, Dinesh Kumar Vishwakarma:
Covariate Conscious Approach for Gait Recognition Based Upon Zernike Moment Invariants. IEEE Trans. Cogn. Dev. Syst. 10(2): 397-407 (2018) - [j6]Dinesh Kumar Vishwakarma, Sakshi Upadhyay:
A Deep Structure of Person Re-Identification Using Multi-Level Gaussian Models. IEEE Trans. Multi Scale Comput. Syst. 4(4): 513-521 (2018) - 2017
- [j5]Dinesh Kumar Vishwakarma, Rajiv Kapoor:
An efficient interpretation of hand gestures to control smart interactive television. Int. J. Comput. Vis. Robotics 7(4): 454-471 (2017) - [j4]Dinesh Kumar Vishwakarma, Kuldeep Singh:
Human Activity Recognition Based on Spatial Distribution of Gradients at Sublevels of Average Energy Silhouette Images. IEEE Trans. Cogn. Dev. Syst. 9(4): 316-327 (2017) - 2016
- [j3]Dinesh Kumar Vishwakarma, Rajiv Kapoor, Ashish Dhiman:
A proposed unified framework for the recognition of human activity by exploiting the characteristics of action dynamics. Robotics Auton. Syst. 77: 25-38 (2016) - 2015
- [j2]Dinesh Kumar Vishwakarma, Rajiv Kapoor:
Integrated approach for human action recognition using edge spatial distribution, direction pixel and ℛ-transform. Adv. Robotics 29(23): 1553-1562 (2015) - [j1]Dinesh Kumar Vishwakarma, Rajiv Kapoor:
Hybrid classifier based human activity recognition using the silhouette and cells. Expert Syst. Appl. 42(20): 6957-6965 (2015)
Conference and Workshop Papers
- 2024
- [c31]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: 23628-23630 - [c30]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: 213-219 - 2023
- [c29]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: 16178-16179 - [c28]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: 16196-16197 - [c27]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: 16240-16241 - [c26]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: 386-395 - [c25]Rithwick Sethi, Dinesh Kumar Vishwakarma, Sreetam Ganguly, Raj Ray:
A Comparative Study on Different Machine Learning Algorithms to Detect PCOS. ICCCNT 2023: 1-7 - [c24]Dinesh Kumar Vishwakarma, Amaan Bilal, Abrar Zahoor:
Hybrid XGBoost and Extreme Machine Learning Algorithm on Diabetes Disease Prediction. ICCCNT 2023: 1-7 - [c23]Ashish Bajaj, Dinesh Kumar Vishwakarma:
Deceiving Deep Learning-based Fraud SMS Detection Models through Adversarial Attacks. SITIS 2023: 327-332 - 2022
- [c22]Rishit Toteja, Dhruv Gupta, Vibhor Gautam, Dinesh Kumar Vishwakarma:
Skin Disease Detection Using Saliency Maps and Segmentation Techniques. CVIP (1) 2022: 328-340 - [c21]Siddharth Yadav, Sahithi Bommareddy, Dinesh Kumar Vishwakarma:
Robust and Generalized DeepFake Detection. ICCCNT 2022: 1-6 - [c20]Arjun Choudhry, Inder Khatri, Arkajyoti Chakraborty, Dinesh Kumar Vishwakarma, Mukesh Prasad:
Emotion-guided Cross-domain Fake News Detection using Adversarial Domain Adaptation. ICON 2022: 75-79 - 2021
- [c19]Mini Jain, Peya Mowar, Ruchika Goel, Dinesh Kumar Vishwakarma:
Clickbait in Social Media: Detection and Analysis of the Bait. CISS 2021: 1-6 - [c18]Aadhar Dutta, Dinesh Kumar Vishwakarma:
Personalized Music Recommendation System based on Streamer Streaming Trends. ICCCNT 2021: 1-7 - [c17]Divyansh Goel, Sakshi Jain, Dinesh Kumar Vishwakarma, Aryan Bansal:
Automatic Image Colorization using U-Net. ICCCNT 2021: 1-7 - [c16]Aditva Jain, Abhishek Sethi, Dinesh Kumar Vishwakarma, Aashima Jain:
Ensembled Neural Network for Static Hand Gesture Recognition. ICCCNT 2021: 1-5 - [c15]Deepika Varshney, Dinesh Kumar Vishwakarma:
ArtiMarker: A Novel Artificially Inflated Video Marking And Characterization Method on YouTube. ICCCSP 2021: 244-249 - [c14]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: 1-8 - 2020
- [c13]Kunal Chaturvedi, Dinesh Kumar Vishwakarma:
Face Recognition in an Unconstrained Environment using ConvNet. BDET 2020: 67-71 - [c12]Bhaye Malhotra, Dinesh Kumar Vishwakarma:
Classification of Propagation Path and Tweets for Rumor Detection using Graphical Convolutional Networks and Transformer based Encodings. BigMM 2020: 183-190 - [c11]Ashima Yadav, Dinesh Kumar Vishwakarma:
A Weighted Text Representation framework for Sentiment Analysis of Medical Drug Reviews. BigMM 2020: 326-332 - [c10]Ankit Yadav, Dinesh Kumar Vishwakarma:
Recent Developments in Generative Adversarial Networks: A Review (Workshop Paper). BigMM 2020: 404-413 - [c9]Mansi Agarwal, Maitree Leekha, Ramit Sawhney, Rajiv Ratn Shah, Rajesh Kumar Yadav, Dinesh Kumar Vishwakarma:
MEMIS: Multimodal Emergency Management Information System. ECIR (1) 2020: 479-494 - [c8]Ashima Yadav, Dinesh Kumar Vishwakarma:
A Multilingual Framework of CNN and Bi-LSTM for Emotion Classification. ICCCNT 2020: 1-6 - [c7]Gaurav Tripathi, Kuldeep Singh, Dinesh Kumar Vishwakarma:
Detecting Arson and Stone Pelting in Extreme Violence: A Deep Learning Based Identification Approach. IHCI (1) 2020: 458-468 - 2019
- [c6]Ayush Agarwal, Ashima Yadav, Dinesh Kumar Vishwakarma:
Multimodal Sentiment Analysis via RNN variants. BCD 2019: 19-23 - [c5]Ashima Yadav, Ayush Agarwal, Dinesh Kumar Vishwakarma:
XRA-Net Framework for Visual Sentiments Analysis. BigMM 2019: 219-224 - [c4]Chhavi Dhiman, Manan Saxena, Dinesh Kumar Vishwakarma:
Skeleton-Based View Invariant Deep Features for Human Activity Recognition. BigMM 2019: 225-230 - [c3]Tej Singh, Shivam Rustagi, Aakash Garg, Dinesh Kumar Vishwakarma:
Deep Learning Framework for Single and Dyadic Human Activity Recognition. BigMM 2019: 237-241 - 2017
- [c2]Kuang-Pen Chou, Mukesh Prasad, Deepak Puthal, Ping-Hung Chen, Dinesh Kumar Vishwakarma, Suresh Sundaram, Chin-Teng Lin, Wen-Chieh Lin:
Fast Deformable Model for Pedestrian Detection with Haar-like features. SSCI 2017: 1-8 - 2012
- [c1]Dinesh Kumar Vishwakarma, Rajiv Kapoor:
Simple and intelligent system to recognize the expression of speech-disabled person. IHCI 2012: 1-6
Informal and Other Publications
- 2024
- [i36]Ankit Yadav, Dinesh Kumar Vishwakarma:
A Visually Attentive Splice Localization Network with Multi-Domain Feature Extractor and Multi-Receptive Field Upsampler. CoRR abs/2401.06995 (2024) - [i35]Ankit Yadav, Dinesh Kumar Vishwakarma:
Towards Effective Image Forensics via A Novel Computationally Efficient Framework and A New Image Splice Dataset. CoRR abs/2401.06998 (2024) - [i34]Ankit Yadav, Dinesh Kumar Vishwakarma:
Datasets, Clues and State-of-the-Arts for Multimedia Forensics: An Extensive Review. CoRR abs/2401.06999 (2024) - [i33]Ananya Pandey, Dinesh Kumar Vishwakarma:
Contrastive Learning-based Multi Modal Architecture for Emoticon Prediction by Employing Image-Text Pairs. CoRR abs/2408.02571 (2024) - [i32]Sajal Aggarwal, Ananya Pandey, Dinesh Kumar Vishwakarma:
Modelling Visual Semantics via Image Captioning to extract Enhanced Multi-Level Cross-Modal Semantic Incongruity Representation with Attention for Multimodal Sarcasm Detection. CoRR abs/2408.02595 (2024) - [i31]Ananya Pandey, Dinesh Kumar Vishwakarma:
VyAnG-Net: A Novel Multi-Modal Sarcasm Recognition Model by Uncovering Visual, Acoustic and Glossary Features. CoRR abs/2408.10246 (2024) - [i30]Ananya Pandey, Dinesh Kumar Vishwakarma:
Target-Dependent Multimodal Sentiment Analysis Via Employing Visual-to Emotional-Caption Translation Network using Visual-Caption Pairs. CoRR abs/2408.10248 (2024) - [i29]Deepak Dagar, Dinesh Kumar Vishwakarma:
Tex-ViT: A Generalizable, Robust, Texture-based dual-branch cross-attention deepfake detector. CoRR abs/2408.16892 (2024) - [i28]Deepak Dagar, Dinesh Kumar Vishwakarma:
A Noise and Edge extraction-based dual-branch method for Shallowfake and Deepfake Localization. CoRR abs/2409.00896 (2024) - [i27]Anusha Chhabra, Dinesh Kumar Vishwakarma:
Hate Content Detection via Novel Pre-Processing Sequencing and Ensemble Methods. CoRR abs/2409.05134 (2024) - [i26]Anusha Chhabra, Dinesh Kumar Vishwakarma:
MHS-STMA: Multimodal Hate Speech Detection via Scalable Transformer-Based Multilevel Attention Framework. CoRR abs/2409.05136 (2024) - 2023
- [i25]Arjun Choudhry, Inder Khatri, Pankaj Gupta, Aaryan Gupta, Maxime Nicol, Marie-Jean Meurs, Dinesh Kumar Vishwakarma:
Adversarial Adaptation for French Named Entity Recognition. CoRR abs/2301.05220 (2023) - [i24]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 abs/2311.08085 (2023) - [i23]Aryaman Rao, Parth Singh, Dinesh Kumar Vishwakarma, Mukesh Prasad:
DQSSA: A Quantum-Inspired Solution for Maximizing Influence in Online Social Networks (Student Abstract). CoRR abs/2311.18676 (2023) - 2022
- [i22]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 abs/2211.09657 (2022) - [i21]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 abs/2211.09683 (2022) - [i20]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 abs/2211.12374 (2022) - [i19]Arjun Choudhry, Inder Khatri, Arkajyoti Chakraborty, Dinesh Kumar Vishwakarma, Mukesh Prasad:
Emotion-guided Cross-domain Fake News Detection using Adversarial Domain Adaptation. CoRR abs/2211.13718 (2022) - [i18]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 abs/2211.17108 (2022) - [i17]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 abs/2211.17200 (2022) - [i16]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 abs/2212.03692 (2022) - 2021
- [i15]Walid Hariri, Nadir Farah, Dinesh Kumar Vishwakarma:
Deep and Shallow Covariance Feature Quantization for 3D Facial Expression Recognition. CoRR abs/2105.05708 (2021) - [i14]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 abs/2109.06488 (2021) - [i13]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 abs/2109.09929 (2021) - [i12]Priyanka Meel, Dinesh Kumar Vishwakarma:
Multi-modal Fusion using Fine-tuned Self-attention and Transfer Learning for Veracity Analysis of Web Information. CoRR abs/2109.12547 (2021) - [i11]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 abs/2109.13063 (2021) - [i10]Priyanka Meel, Dinesh Kumar Vishwakarma:
Fake News Detection using Semi-Supervised Graph Convolutional Network. CoRR abs/2109.13476 (2021) - [i9]Peya Mowar, Mini Jain, Ruchika Goel, Dinesh Kumar Vishwakarma:
Clickbait in YouTube Prevention, Detection and Analysis of the Bait using Ensemble Learning. CoRR abs/2112.08611 (2021) - 2020
- [i8]Ashima Yadav, Dinesh Kumar Vishwakarma:
A Deep Language-independent Network to analyze the impact of COVID-19 on the World via Sentiment Analysis. CoRR abs/2011.10358 (2020) - [i7]Ashima Yadav, Dinesh Kumar Vishwakarma:
A Deep Multi-Level Attentive network for Multimodal Sentiment Analysis. CoRR abs/2012.08256 (2020) - [i6]Ankit Yadav, Dinesh Kumar Vishwakarma:
Person Re-Identification using Deep Learning Networks: A Systematic Review. CoRR abs/2012.13318 (2020) - 2019
- [i5]Tej Singh, Dinesh Kumar Vishwakarma:
A Hybrid Framework for Action Recognition in Low-Quality Video Sequences. CoRR abs/1903.04090 (2019) - [i4]Chhavi Dhiman, Dinesh Kumar Vishwakarma, Paras Aggarwal:
Skeleton based Activity Recognition by Fusing Part-wise Spatio-temporal and Attention Driven Residues. CoRR abs/1912.00576 (2019) - [i3]Chhavi Dhiman, Dinesh Kumar Vishwakarma:
View-invariant Deep Architecture for Human Action Recognition using late fusion. CoRR abs/1912.03632 (2019) - 2018
- [i2]Dinesh Kumar Vishwakarma, Sakshi Upadhyay:
A Deep Structure of Person Re-Identification using Multi-Level Gaussian Models. CoRR abs/1805.07720 (2018) - 2016
- [i1]Himanshu Aggarwal, Dinesh Kumar Vishwakarma:
Covariate conscious approach for Gait recognition based upon Zernike moment invariants. CoRR abs/1611.06683 (2016)
Coauthor Index
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