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Mohammad Adiban
Mohammad Adiban
PhD Candidate at NTNU, Senior Data Scientist at Bluware
Verified email at ntnu.no
Title
Cited by
Cited by
Year
Replay Spoofing Countermeasure Using Autoencoder and Siamese Network on ASVspoof 2019 Challenge
M Adiban, H Sameti, S Shehnepoor
Computer Speech & Language 64, 101105, 2020
222020
SUT System Description for Anti-spoofing 2017 Challenge
M Adiban, H Sameti, N Maghsoodi, S Shahsavari
Proceedings of the 29th Conference on Computational Linguistics and Speech …, 2018
182018
STEP-GAN: A one-class anomaly detection model with applications to power system security
M Adiban, A Safari, G Salvi
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
15*2021
Statistical Feature Embedding for Heart Sound Classification
M Adiban, B BabaAli, S Shehnepoor
ELECTRICAL ENGINEERING 70 (4), 259–272, 2019
10*2019
A step-by-step training method for multi generator GANs with application to anomaly detection and cybersecurity
M Adiban, SM Siniscalchi, G Salvi
Neurocomputing 537, 296-308, 2023
72023
Hierarchical Residual Learning Based Vector Quantized Variational Autoencoder for Image Reconstruction and Generation
M Adiban, K Stefanov, SM Siniscalchi, G Salvi
The 33rd British Machine Vision Conference (BMVC 2022), 2022
32022
Spatial bias in vision-based voice activity detection
K Stefanov, M Adiban, G Salvi
2020 25th International Conference on Pattern Recognition (ICPR), 10433-10440, 2021
22021
S-HR-VQVAE: Sequential Hierarchical Residual Learning Vector Quantized Variational Autoencoder for Video Prediction
M Adiban, K Stefanov, SM Siniscalchi, G Salvi
arXiv preprint arXiv:2307.06701, 2023
12023
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