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Mazhar Hussain
Mazhar Hussain
Deep Learning and Computer Vision Researcher, Image Processing Lab (IPLab), University of Catania
Verified email at nu.edu.pk
Title
Cited by
Cited by
Year
Keys for action: an efficient keyframe-based approach for 3D action recognition using a deep neural network
H Yasin, M Hussain, A Weber
Sensors 20 (8), 2226, 2020
322020
An improved acoustic scene classification method using convolutional neural networks (CNNs)
K Hussain, M Hussain, MG Khan
American Scientific Research Journal for Engineering, Technology, and …, 2018
92018
Food Recognition for Dietary Monitoring during Smoke Quitting.
S Battiato, P Caponnetto, O Giudice, M Hussain, R Leotta, A Ortis, ...
IMPROVE, 160-165, 2021
72021
Improved acoustic scene classification with DNN and CNN
K Hussain, M Hussain, MG Khan
Detection and Classification of Acoustic Scenes and Events (DCASE), 2017
52017
User-biased food recognition for health monitoring
M Hussain, A Ortis, R Polosa, S Battiato
International Conference on Image Analysis and Processing, 98-108, 2022
22022
Semantic Food Segmentation Using Convolutional Deconvolutional Pyramid Network for Health Monitoring
M Hussain, A Ortis, R Polosa, S Battiato
International Journal of Computer Theory and Engineering 15 (4), 2023
2023
Semantic food segmentation for health monitoring
M Hussain, A Ortis, R Polosa, S Battiato
Fifteenth International Conference on Machine Vision (ICMV 2022) 12701, 106-113, 2023
2023
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