Imtiaz Masud ziko
Imtiaz Masud ziko
R&T Lead @Thales
Verified email at - Homepage
Cited by
Cited by
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?
M Boudiaf, H Kervadec, ZI Masud, P Piantanida, I Ben Ayed, J Dolz
Computer Vision and Pattern Recognition (CVPR), 2021
Laplacian regularized few-shot learning
IM Ziko, J Dolz, E Granger, IB Ayed
International Conference on Machine Learning (ICML), 2020
Transductive information maximization for few-shot learning
M Boudiaf, ZI Masud, J Rony, J Dolz, P Piantanida, IB Ayed
Neural Information Processing Systems (NeurIPS), 2020
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses
M Boudiaf, J Rony, IM Ziko, E Granger, M Pedersoli, P Piantanida, ...
European Conference on Computer Vision (ECCV), 2020
Variational Fair Clustering
IM Ziko, E Granger, J Yuan, IB Ayed
AAAI Conference on Artificial Intelligence, 2021
Parametric information maximization for generalized category discovery
F Chiaroni, J Dolz, ZI Masud, A Mitiche, I Ben Ayed
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
Scalable laplacian k-modes
IM Ziko, E Granger, IB Ayed
Neural Information Processing Systems (NeurIPS), 2018
An enhanced decision based adaptive median filtering technique to remove Salt and Pepper noise in digital images
MI Jubair, MM Rahman, S Ashfaqueuddin, IM Ziko
International Conference on Computer and Information Technology (ICCIT), 2011
Transductive information maximization for few-shot learning; 2020. arXiv
M Boudiaf, ZI Masud, J Rony, J Dolz, P Piantanida, IB Ayed
arXiv preprint arXiv:2008.11297, 0
Design and creation of a multi-illuminant scene image dataset
IM Ziko, S Beigpour, JY Hardeberg
International Conference on Image and Signal Processing (ICISP), 2014
Transductive Few-Shot Learning: Clustering is All You Need?
IM Ziko, M Boudiaf, J Dolz, E Granger, IB Ayed
arXiv preprint arXiv:2106.09516, 2021
Supervised spectral subspace clustering for visual dictionary creation in the context of image classification
IM Ziko, E Fromont, D Muselet, M Sebban
2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR), 356-360, 2015
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning
J Nicolas, F Chiaroni, I Ziko, O Ahmad, C Desrosiers, J Dolz
arXiv preprint arXiv:2307.05707, 2023
Task adaptive feature transformation for one-shot learning
IM Ziko, F Lecue, IB Ayed
arXiv preprint arXiv:2304.06832, 2023
Mutual-information based few-shot classification
M Boudiaf, ZI Masud, J Rony, J Dolz, IB Ayed, P Piantanida
arXiv preprint arXiv:2106.12252, 2021
Flexible and scalable models for clustering and few-shot learning
IM Ziko
École de technologie supérieure, 2020
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