Imtiaz Masud Ziko

21 papers A* 6A 1C 1Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	A	`conf`	MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning. WACV Julien Nicolas, Florent Chiaroni, Imtiaz Masud Ziko, Ola Ahmad, Christian Desrosiers, Jose Dolz
2023	J	`jnl`	MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning. CoRR Julien Nicolas, Florent Chiaroni, Imtiaz Masud Ziko, Ola Ahmad, Christian Desrosiers, Jose Dolz
2023	A*	`conf`	Parametric Information Maximization for Generalized Category Discovery. ICCV Florent Chiaroni, Jose Dolz, Imtiaz Masud Ziko, Amar Mitiche, Ismail Ben Ayed
2023	J	`jnl`	Task Adaptive Feature Transformation for One-Shot Learning. CoRR Imtiaz Masud Ziko, Freddy Lécué, Ismail Ben Ayed
2022	J	`jnl`	Mutual Information-based Generalized Category Discovery. CoRR Florent Chiaroni, Jose Dolz, Imtiaz Masud Ziko, Amar Mitiche, Ismail Ben Ayed
2021	A*	`conf`	Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CVPR Malik Boudiaf, Hoel Kervadec, Imtiaz Masud Ziko, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz
2021	J	`jnl`	Mutual-Information Based Few-Shot Classification. CoRR Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida
2021	J	`jnl`	Transductive Few-Shot Learning: Clustering is All You Need? CoRR Imtiaz Masud Ziko, Malik Boudiaf, Jose Dolz, Eric Granger, Ismail Ben Ayed
2021	A*	`conf`	Variational Fair Clustering. AAAI Imtiaz Masud Ziko, Jing Yuan, Eric Granger, Ismail Ben Ayed
2020	—	`conf`	A Unifying Mutual Information View of Metric Learning: Cross-Entropy vs. Pairwise Losses. ECCV (6) Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed
2020	J	`jnl`	Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CoRR Malik Boudiaf, Hoel Kervadec, Imtiaz Masud Ziko, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz
2020	A*	`conf`	Information Maximization for Few-Shot Learning. NeurIPS Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Pablo Piantanida, Ismail Ben Ayed
2020	A*	`conf`	Laplacian Regularized Few-Shot Learning. ICML Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed
2020	J	`jnl`	Laplacian Regularized Few-Shot Learning. CoRR Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed
2020	J	`jnl`	Metric learning: cross-entropy vs. pairwise losses. CoRR Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed
2020	J	`jnl`	Transductive Information Maximization For Few-Shot Learning. CoRR Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, José Dolz, Pablo Piantanida, Ismail Ben Ayed
2019	J	`jnl`	Clustering with Fairness Constraints: A Flexible and Scalable Approach. CoRR Imtiaz Masud Ziko, Eric Granger, Jing Yuan, Ismail Ben Ayed
2018	A*	`conf`	Scalable Laplacian K-modes. NeurIPS Imtiaz Masud Ziko, Eric Granger, Ismail Ben Ayed
2018	J	`jnl`	Scalable Laplacian K-modes. CoRR Imtiaz Masud Ziko, Eric Granger, Ismail Ben Ayed
2015	—	`conf`	Supervised spectral subspace clustering for visual dictionary creation in the context of image classification. ACPR Imtiaz Masud Ziko, Élisa Fromont, Damien Muselet, Marc Sebban
2014	C	`conf`	Design and Creation of a Multi-illuminant Scene Image Dataset. ICISP Imtiaz Masud Ziko, Shida Beigpour, Jon Yngve Hardeberg