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ORCIDImtiaz Masud Ziko
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2020 – today
- 2024
[c10]Julien Nicolas, Florent Chiaroni, Imtiaz Masud Ziko, Ola Ahmad, Christian Desrosiers, Jose Dolz:
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning. WACV 2024: 1751-1761- 2023
- [c9]Florent Chiaroni, Jose Dolz, Imtiaz Masud Ziko, Amar Mitiche, Ismail Ben Ayed:
Parametric Information Maximization for Generalized Category Discovery. ICCV 2023: 1729-1739 - [i11]Imtiaz Masud Ziko, Freddy Lécué, Ismail Ben Ayed:
Task Adaptive Feature Transformation for One-Shot Learning. CoRR abs/2304.06832 (2023) - [i10]Julien Nicolas, Florent Chiaroni, Imtiaz Masud Ziko, Ola Ahmad, Christian Desrosiers, Jose Dolz:
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning. CoRR abs/2307.05707 (2023) - 2022
- [i9]Florent Chiaroni, Jose Dolz, Imtiaz Masud Ziko, Amar Mitiche, Ismail Ben Ayed:
Mutual Information-based Generalized Category Discovery. CoRR abs/2212.00334 (2022) - 2021
- [c8]Imtiaz Masud Ziko, Jing Yuan, Eric Granger, Ismail Ben Ayed:
Variational Fair Clustering. AAAI 2021: 11202-11209 - [c7]Malik Boudiaf, Hoel Kervadec, Imtiaz Masud Ziko, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz:
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CVPR 2021: 13979-13988 - [i8]Imtiaz Masud Ziko, Malik Boudiaf, Jose Dolz, Eric Granger, Ismail Ben Ayed:
Transductive Few-Shot Learning: Clustering is All You Need? CoRR abs/2106.09516 (2021) - [i7]Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida:
Mutual-Information Based Few-Shot Classification. CoRR abs/2106.12252 (2021) - 2020
- [c6]Malik Boudiaf
, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed:
A Unifying Mutual Information View of Metric Learning: Cross-Entropy vs. Pairwise Losses. ECCV (6) 2020: 548-564 - [c5]Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed:
Laplacian Regularized Few-Shot Learning. ICML 2020: 11660-11670 - [c4]Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Pablo Piantanida, Ismail Ben Ayed:
Information Maximization for Few-Shot Learning. NeurIPS 2020 - [i6]Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed:
Metric learning: cross-entropy vs. pairwise losses. CoRR abs/2003.08983 (2020) - [i5]Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed:
Laplacian Regularized Few-Shot Learning. CoRR abs/2006.15486 (2020) - [i4]Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, José Dolz, Pablo Piantanida, Ismail Ben Ayed:
Transductive Information Maximization For Few-Shot Learning. CoRR abs/2008.11297 (2020) - [i3]Malik Boudiaf, Hoel Kervadec, Imtiaz Masud Ziko, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz:
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CoRR abs/2012.06166 (2020)
2010 – 2019
- 2019
- [i2]Imtiaz Masud Ziko, Eric Granger, Jing Yuan, Ismail Ben Ayed:
Clustering with Fairness Constraints: A Flexible and Scalable Approach. CoRR abs/1906.08207 (2019) - 2018
- [c3]Imtiaz Masud Ziko, Eric Granger, Ismail Ben Ayed:
Scalable Laplacian K-modes. NeurIPS 2018: 10062-10072 - [i1]Imtiaz Masud Ziko, Eric Granger, Ismail Ben Ayed:
Scalable Laplacian K-modes. CoRR abs/1810.13044 (2018) - 2015
- [c2]Imtiaz Masud Ziko, Élisa Fromont, Damien Muselet, Marc Sebban:
Supervised spectral subspace clustering for visual dictionary creation in the context of image classification. ACPR 2015: 356-360 - 2014
- [c1]Imtiaz Masud Ziko, Shida Beigpour, Jon Yngve Hardeberg:
Design and Creation of a Multi-illuminant Scene Image Dataset. ICISP 2014: 531-538
Coauthor Index
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