Imtiaz Masud Ziko

According to our database, Imtiaz Masud Ziko authored at least 17 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Task Adaptive Feature Transformation for One-Shot Learning.

Imtiaz Masud Ziko, Freddy Lécué, Ismail Ben Ayed

CoRR, 2023

Parametric Information Maximization for Generalized Category Discovery.

Florent Chiaroni, Jose Dolz, Imtiaz Masud Ziko, Amar Mitiche, Ismail Ben Ayed

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Mutual Information-based Generalized Category Discovery.

Florent Chiaroni, Jose Dolz, Imtiaz Masud Ziko, Amar Mitiche, Ismail Ben Ayed

CoRR, 2022

2021

Mutual-Information Based Few-Shot Classification.

Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida

CoRR, 2021

Transductive Few-Shot Learning: Clustering is All You Need?

Imtiaz Masud Ziko, Malik Boudiaf, Jose Dolz, Eric Granger, Ismail Ben Ayed

CoRR, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Variational Fair Clustering.

Imtiaz Masud Ziko, Jing Yuan, Eric Granger, Ismail Ben Ayed

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Transductive Information Maximization For Few-Shot Learning.

Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, José Dolz, Pablo Piantanida, Ismail Ben Ayed

CoRR, 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

Information Maximization for Few-Shot Learning.

Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Pablo Piantanida, Ismail Ben Ayed

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Laplacian Regularized Few-Shot Learning.

Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed

Proceedings of the 37th International Conference on Machine Learning, 2020

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

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Clustering with Fairness Constraints: A Flexible and Scalable Approach.

Imtiaz Masud Ziko, Eric Granger, Jing Yuan, Ismail Ben Ayed

CoRR, 2019

2018

Scalable Laplacian K-modes.

Imtiaz Masud Ziko, Eric Granger, Ismail Ben Ayed

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2015

Supervised spectral subspace clustering for visual dictionary creation in the context of image classification.

Imtiaz Masud Ziko, Élisa Fromont, Damien Muselet, Marc Sebban

Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

2014

Design and Creation of a Multi-illuminant Scene Image Dataset.

Imtiaz Masud Ziko, Shida Beigpour, Jon Yngve Hardeberg

Proceedings of the Image and Signal Processing - 6th International Conference, 2014