Ismail Ben Ayed

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 178

Top Venues

Publications

Balamurali Murugesan, Sukesh Adiga Vasudeva, Bingyuan Liu, Hervé Lombaert, Ismail Ben Ayed, Jose Dolz
Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints. CoRR (2024)
Julio Silva-Rodríguez, Jihed Chelbi, Waziha Kabir, Hadi Chakor, Jose Dolz, Ismail Ben Ayed, Riadh Kobbi
Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy. CoRR (2024)
Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed
Do we really need dice? The hidden region-size biases of segmentation losses. Medical Image Anal. 91 (2024)
Soufiane Belharbi, Shakeeb Murtaza, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos. CoRR (2023)
Mathieu Vu, Émilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed
Aggregated f-average Neural Network for Interpretable Ensembling. CoRR (2023)
Sina Hajimiri, Malik Boudiaf, Ismail Ben Ayed, Jose Dolz
A Strong Baseline for Generalized Few-Shot Semantic Segmentation. CVPR (2023)
Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Myriam Tami, Victor Storchan, Ismail Ben Ayed, Pablo Piantanida
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. EMNLP (2023)
Jérôme Rony, Jean-Christophe Pesquet, Ismail Ben Ayed
Proximal Splitting Adversarial Attack for Semantic Segmentation. CVPR (2023)
Julio Silva-Rodríguez, Jose Dolz, Ismail Ben Ayed
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation. ISIC/Care-AI/MedAGI/DeCaF@MICCAI (2023)
Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz
Calibrating segmentation networks with margin-based label smoothing. Medical Image Anal. 87 (2023)
Balamurali Murugesan, Rukhshanda Hussain, Rajarshi Bhattacharya, Ismail Ben Ayed, Jose Dolz
Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation. CoRR (2023)
Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Gustavo Adolfo Vargas Hakim, David Osowiechi, Ismail Ben Ayed, Christian Desrosiers
TFS-ViT: Token-Level Feature Stylization for Domain Generalization. CoRR (2023)
Julio Silva-Rodríguez, Hadi Chakor, Riadh Kobbi, Jose Dolz, Ismail Ben Ayed
A Foundation LAnguage-Image model of the Retina (FLAIR): Encoding expert knowledge in text supervision. CoRR (2023)
Bingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz
Segmentation with mixed supervision: Confidence maximization helps knowledge distillation. Medical Image Anal. 83 (2023)
Saypraseuth Mounsaveng, Issam H. Laradji, David Vázquez, Marco Pedersoli, Ismail Ben Ayed
Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images. CoRR (2023)
Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Hervé Lombaert, Ismail Ben Ayed, Jose Dolz
Trust your neighbours: Penalty-based constraints for model calibration. CoRR (2023)
Imtiaz Masud Ziko, Freddy Lécué, Ismail Ben Ayed
Task Adaptive Feature Transformation for One-Shot Learning. CoRR (2023)
Marine Picot, Francisco Messina, Malik Boudiaf, Fabrice Labeau, Ismail Ben Ayed, Pablo Piantanida
Adversarial Robustness Via Fisher-Rao Regularization. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Gustavo Adolfo Vargas Hakim, David Osowiechi, Mehrdad Noori, Milad Cheraghalikhani, Ismail Ben Ayed, Christian Desrosiers
ClusT3: Information Invariant Test-Time Training. CoRR (2023)
Julio Silva-Rodríguez, Jose Dolz, Ismail Ben Ayed
Transductive few-shot adapters for medical image segmentation. CoRR (2023)
Florent Chiaroni, Jose Dolz, Imtiaz Masud Ziko, Amar Mitiche, Ismail Ben Ayed
Parametric Information Maximization for Generalized Category Discovery. ICCV (2023)
Saypraseuth Mounsaveng, Florent Chiaroni, Malik Boudiaf, Marco Pedersoli, Ismail Ben Ayed
Bag of Tricks for Fully Test-Time Adaptation. CoRR (2023)
Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Céline Hudelot, Ismail Ben Ayed
Open-Set Likelihood Maximization for Few-Shot Learning. CoRR (2023)
Julio Silva-Rodríguez, Sina Hajimiri, Ismail Ben Ayed, Jose Dolz
A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models. CoRR (2023)
Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Herve Lombaert, Ismail Ben Ayed, Jose Dolz
Trust Your Neighbours: Penalty-Based Constraints for Model Calibration. MICCAI (3) (2023)
Julio Silva-Rodríguez, Jihed Chelbi, Waziha Kabir, Hadi Chakor, Jose Dolz, Ismail Ben Ayed, Riadh Kobbi
Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy. CGI (3) (2023)
Aymen Sadraoui, Ségolène Martin, Eliott Barbot, Astrid Laurent-Bellue, Jean-Christophe Pesquet, Catherine Guettier, Ismail Ben Ayed
A transductive few-shot learning approach for classification of digital histopathological slides from liver cancer. CoRR (2023)
David Osowiechi, Gustavo Adolfo Vargas Hakim, Mehrdad Noori, Milad Cheraghalikhani, Ismail Ben Ayed, Christian Desrosiers
TTTFlow: Unsupervised Test-Time Training with Normalizing Flow. WACV (2023)
Gustavo Adolfo Vargas Hakim, David Osowiechi, Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Ismail Ben Ayed, Christian Desrosiers
ClusT3: Information Invariant Test-Time Training. ICCV (2023)
Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos. WACV (2023)
Bingyuan Liu, Jérôme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed
Class Adaptive Network Calibration. CVPR (2023)
Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Céline Hudelot, Ismail Ben Ayed
Open-Set Likelihood Maximization for Few-Shot Learning. CVPR (2023)
Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Victor Storchan, Myriam Tami, Ismail Ben Ayed, Céline Hudelot, Pablo Piantanida
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. CoRR (2023)
Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz
The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration. CVPR (2022)
Malik Boudiaf, Etienne Bennequin, Myriam Tami, Céline Hudelot, Antoine Toubhans, Pablo Piantanida, Ismail Ben Ayed
Model-Agnostic Few-Shot Open-Set Recognition. CoRR (2022)
Mathilde Bateson, Hervé Lombaert, Ismail Ben Ayed
Test-Time Adaptation with Shape Moments for Image Segmentation. CoRR (2022)
Bingyuan Liu, Jérôme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed
Class Adaptive Network Calibration. CoRR (2022)
Mathilde Bateson, Herve Lombaert, Ismail Ben Ayed
Test-Time Adaptation with Shape Moments for Image Segmentation. MICCAI (4) (2022)
Ségolène Martin, Malik Boudiaf, Émilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed
Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference. NeurIPS (2022)
Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz
Calibrating Segmentation Networks with Margin-based Label Smoothing. CoRR (2022)
Florent Chiaroni, Malik Boudiaf, Amar Mitiche, Ismail Ben Ayed
Simplex Clustering via sBeta with Applications to Online Adjustment of Black-Box Predictions. CoRR (2022)
Soufiane Belharbi, Marco Pedersoli, Ismail Ben Ayed, Luck McCaffrey, Eric Granger
Negative Evidence Matters in Interpretable Histology Image Classification. MIDL (2022)
Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed
Source-free domain adaptation for image segmentation. Medical Image Anal. 82 (2022)
Florent Chiaroni, Jose Dolz, Imtiaz Masud Ziko, Amar Mitiche, Ismail Ben Ayed
Mutual Information-based Generalized Category Discovery. CoRR (2022)
Olivier Veilleux, Malik Boudiaf, Pablo Piantanida, Ismail Ben Ayed
Realistic Evaluation of Transductive Few-Shot Learning. CoRR (2022)
David Osowiechi, Gustavo Adolfo Vargas Hakim, Mehrdad Noori, Milad Cheraghalikhani, Ismail Ben Ayed, Christian Desrosiers
TTTFlow: Unsupervised Test-Time Training with Normalizing Flow. CoRR (2022)
Malik Boudiaf, Romain Müller, Ismail Ben Ayed, Luca Bertinetto
Parameter-free Online Test-time Adaptation. CVPR (2022)
Fereshteh Shakeri, Malik Boudiaf, Sina Mohammadi, Ivaxi Sheth, Mohammad Havaei, Ismail Ben Ayed, Samira Ebrahimi Kahou
FHIST: A Benchmark for Few-shot Classification of Histological Images. CoRR (2022)
Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling. WACV (2022)
Hoel Kervadec, Jose Dolz, Jing Yuan, Christian Desrosiers, Eric Granger, Ismail Ben Ayed
Constrained deep networks: Lagrangian optimization via Log-barrier extensions. EUSIPCO (2022)
Jérôme Rony, Jean-Christophe Pesquet, Ismail Ben Ayed
Proximal Splitting Adversarial Attacks for Semantic Segmentation. CoRR (2022)
Soufiane Belharbi, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
Negative Evidence Matters in Interpretable Histology Image Classification. CoRR (2022)
Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty. IEEE Trans. Medical Imaging 41 (3) (2022)
Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos. CoRR (2022)
Ségolène Martin, Malik Boudiaf, Émilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed
Towards Practical Few-Shot Query Sets: Transductive Minimum Description Length Inference. CoRR (2022)
Sina Hajimiri, Malik Boudiaf, Ismail Ben Ayed, Jose Dolz
A Strong Baseline for Generalized Few-Shot Semantic Segmentation. CoRR (2022)
Malik Boudiaf, Romain Müller, Ismail Ben Ayed, Luca Bertinetto
Parameter-free Online Test-time Adaptation. CoRR (2022)
Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
Leveraging Uncertainty for Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images. CoRR (2022)
Ruobing Shen, Bo Tang, Andrea Lodi, Ismail Ben Ayed, Thomas Guthier
Connectivity-constrained Interactive Panoptic Segmentation. CoRR (2022)
Jérôme Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed
Augmented Lagrangian Adversarial Attacks. ICCV (2021)
Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
Deep Active Learning for Joint Classification & Segmentation with Weak Annotator. WACV (2021)
Saypraseuth Mounsaveng, Issam H. Laradji, Ismail Ben Ayed, David Vázquez, Marco Pedersoli
Learning Data Augmentation with Online Bilevel Optimization for Image Classification. WACV (2021)
Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed
Boundary loss for highly unbalanced segmentation. Medical Image Anal. 67 (2021)
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)
Bingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz
Mixed-supervised segmentation: Confidence maximization helps knowledge distillation. CoRR (2021)
Mathilde Bateson, Jose Dolz, Hoel Kervadec, Hervé Lombaert, Ismail Ben Ayed
Source-Free Domain Adaptation for Image Segmentation. CoRR (2021)
Hoel Kervadec, Houda Bahig, Laurent Létourneau-Guillon, Jose Dolz, Ismail Ben Ayed
Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good! MIDL (2021)
Madhu Kiran, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Louis-Antoine Blais-Morin, Ismail Ben Ayed, Eric Granger
Flow guided mutual attention for person re-identification. Image Vis. Comput. 113 (2021)
Hugo Masson, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Mehrsan Javan, Parthipan Siva, Ismail Ben Ayed, Eric Granger
Exploiting prunability for person re-identification. EURASIP J. Image Video Process. 2021 (1) (2021)
Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
F-CAM: Full Resolution CAM via Guided Parametric Upscaling. CoRR (2021)
Reza Azad, Abdur R. Fayjie, Claude Kauffmann, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz
On the Texture Bias for Few-Shot CNN Segmentation. WACV (2021)
Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz
The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration. CoRR (2021)
Mathilde Bateson, José Dolz, Hoel Kervadec, Hervé Lombaert, Ismail Ben Ayed
Constrained Domain Adaptation for Image Segmentation. IEEE Trans. Medical Imaging 40 (7) (2021)
Mohammed Jabi, Marco Pedersoli, Amar Mitiche, Ismail Ben Ayed
Deep Clustering: On the Link Between Discriminative Models and K-Means. IEEE Trans. Pattern Anal. Mach. Intell. 43 (6) (2021)
Jose Dolz, Christian Desrosiers, Ismail Ben Ayed
Teach Me to Segment with Mixed Supervision: Confident Students Become Masters. IPMI (2021)
Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed
The hidden label-marginal biases of segmentation losses. CoRR (2021)
Hoel Kervadec, Houda Bahig, Laurent Létourneau-Guillon, José Dolz, Ismail Ben Ayed
Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good! CoRR (2021)
Imtiaz Masud Ziko, Jing Yuan, Eric Granger, Ismail Ben Ayed
Variational Fair Clustering. AAAI (2021)
Marine Picot, Francisco Messina, Malik Boudiaf, Fabrice Labeau, Ismail Ben Ayed, Pablo Piantanida
Adversarial Robustness via Fisher-Rao Regularization. CoRR (2021)
Shengxiang Deng, Ismail Ben Ayed, Hongpeng Sun
A Preconditioned Alternating Minimization Framework for Nonconvex and Half Quadratic Optimization. CoRR (2021)
Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida
Mutual-Information Based Few-Shot Classification. CoRR (2021)
Olivier Veilleux, Malik Boudiaf, Pablo Piantanida, Ismail Ben Ayed
Realistic evaluation of transductive few-shot learning. NeurIPS (2021)
Imtiaz Masud Ziko, Malik Boudiaf, Jose Dolz, Eric Granger, Ismail Ben Ayed
Transductive Few-Shot Learning: Clustering is All You Need? CoRR (2021)
Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed
Laplacian Regularized Few-Shot Learning. ICML (2020)
Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed
Laplacian Regularized Few-Shot Learning. CoRR (2020)
Georg Pichler, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida
On Direct Distribution Matching for Adapting Segmentation Networks. MIDL (2020)
Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, José Dolz, Pablo Piantanida, Ismail Ben Ayed
Transductive Information Maximization For Few-Shot Learning. CoRR (2020)
Amran Bhuiyan, Yang Liu, Parthipan Siva, Mehrsan Javan, Ismail Ben Ayed, Eric Granger
Pose Guided Gated Fusion for Person Re-identification. WACV (2020)
Reza Azad, Abdur R. Fayjie, Claude Kauffmann, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz
On the Texture Bias for Few-Shot CNN Segmentation. CoRR (2020)
Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision. MIDL (2020)
Jose Dolz, Christian Desrosiers, Li Wang, Jing Yuan, Dinggang Shen, Ismail Ben Ayed
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation. Comput. Medical Imaging Graph. 79 (2020)
Adrian Galdran, José Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed
Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images. CoRR (2020)
Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed
Metric learning: cross-entropy vs. pairwise losses. CoRR (2020)
Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Pablo Piantanida, Ismail Ben Ayed
Information Maximization for Few-Shot Learning. NeurIPS (2020)
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 (2020)
Mathilde Bateson, Hoel Kervadec, Jose Dolz, Herve Lombaert, Ismail Ben Ayed
Source-Relaxed Domain Adaptation for Image Segmentation. CoRR (2020)
Madhu Kiran, Amran Bhuiyan, Louis-Antoine Blais-Morin, Mehrsan Javan, Ismail Ben Ayed, Eric Granger
Flow-Guided Attention Networks for Video-Based Person Re-Identification. CoRR (2020)
Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Herve Lombaert, Chris Pal
Medical Imaging with Deep Learning: MIDL 2020 - Short Paper Track. CoRR (2020)
Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision. CoRR (2020)
Cheng Li, Rongpin Wang, Zaiyi Liu, Meiyun Wang, Hongna Tan, Yaping Wu, Xinfeng Liu, Hui Sun, Rui Yang, Xin Liu, Ismail Ben Ayed, Hairong Zheng, Hanchuan Peng, Shanshan Wang
AIDE: Annotation-efficient deep learning for automatic medical image segmentation. CoRR (2020)

Ismail Ben Ayed.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Ismail Ben Ayed