Підписатись
Dr. Dinesh Kumar Vishwakarma
Dr. Dinesh Kumar Vishwakarma
Professor, Department of Information Technology, Delhi Technological University, Delhi
Підтверджена електронна адреса в dtu.ac.in - Домашня сторінка
Назва
Посилання
Посилання
Рік
COVID-19 and its impact on education, social life and mental health of students: A survey
K Chaturvedi, DK Vishwakarma, N Singh
Children and youth services review 121, 105866, 2021
8662021
Sentiment analysis using deep learning architectures: a review
A Yadav, DK Vishwakarma
Artificial Intelligence Review 53 (6), 4335-4385, 2020
8462020
Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities
P Meel, DK Vishwakarma
Expert Systems with Applications 153, 112986, 2020
6022020
A review of state-of-the-art techniques for abnormal human activity recognition
C Dhiman, DK Vishwakarma
Engineering Applications of Artificial Intelligence 77, 21-45, 2019
2652019
Convolutional neural networks for crowd behaviour analysis: a survey
G Tripathi, K Singh, DK Vishwakarma
The Visual Computer 35, 753-776, 2019
1752019
View-invariant deep architecture for human action recognition using two-stream motion and shape temporal dynamics
C Dhiman, DK Vishwakarma
IEEE Transactions on Image Processing 29, 3835-3844, 2020
1552020
Contrast enhancement via texture region based histogram equalization
K Singh, DK Vishwakarma, GS Walia, R Kapoor
Journal of modern optics 63 (15), 1444-1450, 2016
1312016
Crowd anomaly detection using aggregation of ensembles of fine-tuned convnets
K Singh, S Rajora, DK Vishwakarma, G Tripathi, S Kumar, GS Walia
Neurocomputing 371, 188-198, 2020
1272020
Detection and veracity analysis of fake news via scrapping and authenticating the web search
DK Vishwakarma, D Varshney, A Yadav
Cognitive Systems Research 58, 217-229, 2019
1192019
Video benchmarks of human action datasets: a review
T Singh, DK Vishwakarma
Artificial Intelligence Review 52, 1107-1154, 2019
942019
HAN, image captioning, and forensics ensemble multimodal fake news detection
P Meel, DK Vishwakarma
Information Sciences 567, 23-41, 2021
902021
A deeply coupled ConvNet for human activity recognition using dynamic and RGB images
T Singh, DK Vishwakarma
Neural Computing and Applications 33 (1), 469-485, 2021
882021
Multimodal sentiment analysis via RNN variants
A Agarwal, A Yadav, DK Vishwakarma
2019 IEEE International Conference on Big Data, Cloud Computing, Data …, 2019
842019
A Robust Framework for Abnormal Human Action Recognition using R-Transform and Zernike Moments in Depth Videos
C Dhiman, DK Vishwakarma
IEEE Sensors Journal, 2019
842019
A temporal ensembling based semi-supervised ConvNet for the detection of fake news articles
P Meel, DK Vishwakarma
Expert Systems with Applications 177, 115002, 2021
802021
A review on rumour prediction and veracity assessment in online social network
D Varshney, DK Vishwakarma
Expert Systems with Applications 168, 114208, 2021
782021
Hybrid classifier based human activity recognition using the silhouette and cells
DK Vishwakarma, R Kapoor
Expert Systems with Applications 42 (20), 6957-6965, 2015
762015
A literature survey on multimodal and multilingual automatic hate speech identification
A Chhabra, DK Vishwakarma
Multimedia Systems 29 (3), 1203-1230, 2023
742023
A Deep Multi-Level Attentive network for Multimodal Sentiment Analysis
Y Ashima, DK Vishwakarma
ACM Transactions on Multimedia Computing, Communications, and Applications, 2022
72*2022
A unified model for human activity recognition using spatial distribution of gradients and difference of Gaussian kernel
DK Vishwakarma, C Dhiman
The Visual Computer 35 (11), 1595-1613, 2019
682019
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