Ayed, Ismail Ben

67 publications

TMLR 2025 A Strong Baseline for Molecular Few-Shot Learning Philippe Formont, Hugo Jeannin, Pablo Piantanida, Ismail Ben Ayed

AAAI 2025 AttackBench: Evaluating Gradient-Based Attacks for Adversarial Examples Antonio Emanuele Cinà, Jérôme Rony, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Ismail Ben Ayed, Fabio Roli

WACV 2025 CLIPArTT: Adaptation of CLIP to New Domains at Test Time Gustavo A Vargas Hakim, David Osowiechi, Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Moslem Yazdanpanah, Ismail Ben Ayed, Christian Desrosiers

CVPR 2025 Conformal Prediction for Zero-Shot Models Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz

WACV 2025 FDS: Feedback-Guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain Generalization Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Gustavo A Vargas Hakim, David Osowiechi, Moslem Yazdanpanah, Ismail Ben Ayed, Christian Desrosiers

TMLR 2025 GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3D Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori, Milad Cheraghalikhani, Gustavo Adolfo Vargas Hakim, David Osowiechi, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers

NeurIPS 2025 Learning Task-Agnostic Representations Through Multi-Teacher Distillation Philippe Formont, Maxime Darrin, Banafsheh Karimian, Eric Granger, Jackie CK Cheung, Ismail Ben Ayed, Mohammadhadi Shateri, Pablo Piantanida

WACV 2025 Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation Sina Hajimiri, Ismail Ben Ayed, Jose Dolz

ICCV 2025 Purge-Gate: Backpropagation-Free Test-Time Adaptation for Point Clouds Classification via Token Purging Moslem Yazdanpanah, Ali Bahri, Mehrdad Noori, Sahar Dastani, Gustavo Adolfo Vargas Hakim, David Osowiechi, Ismail Ben Ayed, Christian Desrosiers

CVPR 2025 Realistic Test-Time Adaptation of Vision-Language Models Maxime Zanella, Clément Fuchs, Christophe De Vleeschouwer, Ismail Ben Ayed

ICML 2025 SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds Ali Bahri, Moslem Yazdanpanah, Sahar Dastani, Mehrdad Noori, Gustavo Adolfo Vargas Hakim, David Osowiechi, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers

ICCV 2025 Sparsity Outperforms Low-Rank Projections in Few-Shot Adaptation Nairouz Mrabah, Nicolas Richet, Ismail Ben Ayed, Eric Granger

CVPR 2025 Spectral Informed Mamba for Robust Point Cloud Processing Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori, Sahar Dastani, Milad Cheraghalikhani, Gustavo Adolfo Vargas Hakim, David Osowiechi, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers

NeurIPS 2025 TRUST: Test-Time Refinement Using Uncertainty-Guided SSM Traverses Sahar Dastani, Ali Bahri, Gustavo Adolfo Vargas Hakim, Moslem Yazdanpanah, Mehrdad Noori, David Osowiechi, Samuel Barbeau, Ismail Ben Ayed, Herve Lombaert, Christian Desrosiers

WACV 2025 Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori, Sahar Dastani Oghani, Milad Cheraghalikhani, David Osowiechi, Farzad Beizaee, Gustavo A. Vargas Hakim, Ismail Ben Ayed, Christian Desrosiers

NeurIPS 2025 Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic Segmentation Mehrdad Noori, David Osowiechi, Gustavo Adolfo Vargas Hakim, Ali Bahri, Moslem Yazdanpanah, Sahar Dastani, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers

CVPR 2025 UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning Long Zhou, Fereshteh Shakeri, Aymen Sadraoui, Mounir Kaaniche, Jean-Christophe Pesquet, Ismail Ben Ayed

ICCV 2025 ViLU: Learning Vision-Language Uncertainties for Failure Prediction Marc Lafon, Yannis Karmim, Julio Silva-Rodríguez, Paul Couairon, Clément Rambour, Raphael Fournier-Sniehotta, Ismail Ben Ayed, Jose Dolz, Nicolas Thome

CVPRW 2025 Vocabulary-Free Few-Shot Learning for Vision-Language Models Maxime Zanella, Clément Fuchs, Ismail Ben Ayed, Christophe De Vleeschouwer

CVPR 2024 A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models Julio Silva-Rodríguez, Sina Hajimiri, Ismail Ben Ayed, Jose Dolz

WACV 2024 Bag of Tricks for Fully Test-Time Adaptation Saypraseuth Mounsaveng, Florent Chiaroni, Malik Boudiaf, Marco Pedersoli, Ismail Ben Ayed

NeurIPS 2024 Boosting Vision-Language Models with Transduction Maxime Zanella, Benoît Gérin, Ismail Ben Ayed

TMLR 2024 Do Not Trust What You Trust: Miscalibration in Semisupervised Learning Shambhavi Mishra, Balamurali Murugesan, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz

CVPR 2024 LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP Yunshi Huang, Fereshteh Shakeri, Jose Dolz, Malik Boudiaf, Houda Bahig, Ismail Ben Ayed

CVPRW 2024 Low-Rank Few-Shot Adaptation of Vision-Language Models Maxime Zanella, Ismail Ben Ayed

CVPR 2024 NC-TTT: A Noise Constrastive Approach for Test-Time Training David Osowiechi, Gustavo A. Vargas Hakim, Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Moslem Yazdanpanah, Ismail Ben Ayed, Christian Desrosiers

CVPR 2024 On the Test-Time Zero-Shot Generalization of Vision-Language Models: Do We Really Need Prompt Learning? Maxime Zanella, Ismail Ben Ayed

WACV 2024 Prompting Classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation Balamurali Murugesan, Rukhshanda Hussain, Rajarshi Bhattacharya, Ismail Ben Ayed, Jose Dolz

ECCV 2024 Robust Calibration of Large Vision-Language Adapters Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz

TMLR 2024 Training Graph Neural Networks Subject to a Tight Lipschitz Constraint Simona Ioana Juvina, Ana Antonia Neacșu, Jérôme Rony, Jean-Christophe Pesquet, Corneliu Burileanu, Ismail Ben Ayed

CVPR 2024 Transductive Zero-Shot and Few-Shot CLIP Ségolène Martin, Yunshi Huang, Fereshteh Shakeri, Jean-Christophe Pesquet, Ismail Ben Ayed

NeurIPS 2024 WATT: Weight Average Test Time Adaptation of CLIP David Osowiechi, Mehrdad Noori, Gustavo A. Vargas Hakim, Moslem Yazdanpanah, Ali Bahri, Milad Cheraghalikhani, Sahar Dastani, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers

NeurIPS 2024 When Is an Embedding Model More Promising than Another? Maxime Darrin, Philippe Formont, Ismail BEN Ayed, Jackie Chi Kit Cheung, Pablo Piantanida

CVPR 2023 A Strong Baseline for Generalized Few-Shot Semantic Segmentation Sina Hajimiri, Malik Boudiaf, Ismail Ben Ayed, Jose Dolz

CVPR 2023 Class Adaptive Network Calibration Bingyuan Liu, Jérôme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed

ICCV 2023 ClusT3: Information Invariant Test-Time Training Gustavo A. Vargas Hakim, David Osowiechi, Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Ismail Ben Ayed, Christian Desrosiers

CVPR 2023 Open-Set Likelihood Maximization for Few-Shot Learning Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Celine Hudelot, Ismail Ben Ayed

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

CVPR 2023 Proximal Splitting Adversarial Attack for Semantic Segmentation Jérôme Rony, Jean-Christophe Pesquet, Ismail Ben Ayed

WACV 2023 TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

WACV 2023 TTTFlow: Unsupervised Test-Time Training with Normalizing Flow David Osowiechi, Gustavo A. Vargas Hakim, Mehrdad Noori, Milad Cheraghalikhani, Ismail Ben Ayed, Christian Desrosiers

WACV 2022 F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

CVPR 2022 Parameter-Free Online Test-Time Adaptation Malik Boudiaf, Romain Mueller, Ismail Ben Ayed, Luca Bertinetto

CVPR 2022 The Devil Is in the Margin: Margin-Based Label Smoothing for Network Calibration Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz

ICCV 2021 Augmented Lagrangian Adversarial Attacks Jérôme Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed

WACV 2021 Deep Active Learning for Joint Classification & Segmentation with Weak Annotator Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

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

WACV 2021 Learning Data Augmentation with Online Bilevel Optimization for Image Classification Saypraseuth Mounsaveng, Issam Laradji, Ismail Ben Ayed, David Vazquez, Marco Pedersoli

WACV 2021 On the Texture Bias for Few-Shot CNN Segmentation Reza Azad, Abdur R. Fayjie, Claude Kauffmann, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz

NeurIPS 2021 Realistic Evaluation of Transductive Few-Shot Learning Olivier Veilleux, Malik Boudiaf, Pablo Piantanida, Ismail Ben Ayed

AAAI 2021 Variational Fair Clustering Imtiaz Masud Ziko, Jing Yuan, Eric Granger, Ismail Ben Ayed

ECCV 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

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

ICML 2020 Laplacian Regularized Few-Shot Learning Imtiaz Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed

WACV 2020 Pose Guided Gated Fusion for Person Re-Identification Amran Bhuiyan, Yang Liu, Parthipan Siva, Mehrsan Javan, Ismail Ben Ayed, Eric Granger

ICLRW 2019 Adversarial Learning of General Transformations for Data Augmentation Saypraseuth Mounsaveng, David Vazquez, Ismail Ben Ayed, Marco Pedersoli

NeurIPS 2018 Scalable Laplacian K-Modes Imtiaz Ziko, Eric Granger, Ismail Ben Ayed

CVPR 2017 DOPE: Distributed Optimization for Pairwise Energies Jose Dolz, Ismail Ben Ayed, Christian Desrosiers

ECCV 2016 Normalized Cut Meets MRF Meng Tang, Dmitrii Marin, Ismail Ben Ayed, Yuri Boykov

ICCV 2015 Secrets of GrabCut and Kernel K-Means Meng Tang, Ismail Ben Ayed, Dmitrii Marin, Yuri Boykov

ICCV 2015 Volumetric Bias in Segmentation and Reconstruction: Secrets and Solutions Yuri Boykov, Hossam Isack, Carl Olsson, Ismail Ben Ayed

ECCV 2014 Pseudo-Bound Optimization for Binary Energies Meng Tang, Ismail Ben Ayed, Yuri Boykov

CVPR 2014 Submodularization for Binary Pairwise Energies Lena Gorelick, Yuri Boykov, Olga Veksler, Ismail Ben Ayed, Andrew Delong

CVPR 2013 Auxiliary Cuts for General Classes of Higher Order Functionals Ismail Ben Ayed, Lena Gorelick, Yuri Boykov

CVPR 2010 Finding Image Distributions on Active Curves Ismail Ben Ayed, Amar Mitiche, Mohamed Ben Salah, Shuo Li

CVPR 2010 Graph Cut Segmentation with a Global Constraint: Recovering Region Distribution via a Bound of the Bhattacharyya Measure Ismail Ben Ayed, Hua-mei Chen, Kumaradevan Punithakumar, Ian G. Ross, Shuo Li

CVPR 2008 Tracking Distributions with an Overlap Prior Ismail Ben Ayed, Shuo Li, Ian G. Ross