Design and Creation of a Multi-illuminant Scene Image Dataset. - Imtiaz Masud Ziko; Shida Beigpour; Jon Yngve Hardeberg (ICISP, 2014)

Supervised spectral subspace clustering for visual dictionary creation in the context of image classification. - Imtiaz Masud Ziko; Élisa Fromont; Damien Muselet; Marc Sebban (ACPR, 2015)

Scalable Laplacian K-modes. - Imtiaz Masud Ziko; Eric Granger; Ismail Ben Ayed (NeurIPS, 2018)

Clustering with Fairness Constraints: A Flexible and Scalable Approach. - Imtiaz Masud Ziko; Eric Granger; Jing Yuan 001; Ismail Ben Ayed (CoRR, 2019)

A Unifying Mutual Information View of Metric Learning: Cross-Entropy vs. Pairwise Losses. - Malik Boudiaf; Jérôme Rony; Imtiaz Masud Ziko; Eric Granger; Marco Pedersoli; Pablo Piantanida; Ismail Ben Ayed (ECCV (6), 2020)

Laplacian Regularized Few-Shot Learning. - Imtiaz Masud Ziko; Jose Dolz; Eric Granger; Ismail Ben Ayed (ICML, 2020)

Information Maximization for Few-Shot Learning. - Malik Boudiaf; Imtiaz Masud Ziko; Jérôme Rony; Jose Dolz; Pablo Piantanida; Ismail Ben Ayed (NeurIPS, 2020)

Metric learning: cross-entropy vs. pairwise losses. - Malik Boudiaf; Jérôme Rony; Imtiaz Masud Ziko; Eric Granger; Marco Pedersoli; Pablo Piantanida; Ismail Ben Ayed (CoRR, 2020)

Transductive Information Maximization For Few-Shot Learning. - Malik Boudiaf; Imtiaz Masud Ziko; Jérôme Rony; José Dolz; Pablo Piantanida; Ismail Ben Ayed (CoRR, 2020)

Variational Fair Clustering. - Imtiaz Masud Ziko; Jing Yuan 001; Eric Granger; Ismail Ben Ayed (AAAI, 2021)

Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? - Malik Boudiaf; Hoel Kervadec; Imtiaz Masud Ziko; Pablo Piantanida; Ismail Ben Ayed; Jose Dolz (CVPR, 2021)

Transductive Few-Shot Learning: Clustering is All You Need? - Imtiaz Masud Ziko; Malik Boudiaf; Jose Dolz; Eric Granger; Ismail Ben Ayed (CoRR, 2021)

Mutual-Information Based Few-Shot Classification. - Malik Boudiaf; Imtiaz Masud Ziko; Jérôme Rony; Jose Dolz; Ismail Ben Ayed; Pablo Piantanida (CoRR, 2021)

Mutual Information-based Generalized Category Discovery. - Florent Chiaroni; Jose Dolz; Imtiaz Masud Ziko; Amar Mitiche; Ismail Ben Ayed (CoRR, 2022)

Parametric Information Maximization for Generalized Category Discovery. - Florent Chiaroni; Jose Dolz; Imtiaz Masud Ziko; Amar Mitiche; Ismail Ben Ayed (ICCV, 2023)

Task Adaptive Feature Transformation for One-Shot Learning. - Imtiaz Masud Ziko; Freddy Lécué; Ismail Ben Ayed (CoRR, 2023)

MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning. - Julien Nicolas; Florent Chiaroni; Imtiaz Masud Ziko; Ola Ahmad; Christian Desrosiers; Jose Dolz (WACV, 2024)