Ismail Ben Ayed

343 papers A* 41A 13B 10Misc 1Journal 212Unranked 64

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Are foundation models for computer vision good conformal predictors? Trans. Mach. Learn. Res. Leo Fillioux, Julio Silva-Rodríguez, Ismail Ben Ayed, Paul-Henry Cournède, Maria Vakalopoulou, Stergios Christodoulidis, Jose Dolz
2026	J	`jnl`	Class Adaptive Conformal Training. CoRR Badr-Eddine Marani, Julio Silva-Rodríguez, Ismail Ben Ayed, Maria Vakalopoulou, Stergios Christodoulidis, Jose Dolz
2026	J	`jnl`	Histopath-C: Towards Realistic Domain Shifts for Histopathology Vision-Language Adaptation. CoRR Mehrdad Noori, Gustavo Adolfo Vargas Hakim, David Osowiechi, Fereshteh Shakeri, Ali Bahri, Moslem Yazdanpanah, Sahar Dastani, Ismail Ben Ayed, Christian Desrosiers
2026	J	`jnl`	Information Maximization for Long-Tailed Semi-Supervised Domain Generalization. CoRR Leo Fillioux, Omprakash Chakraborty, Quentin Gopée, Pierre Marza, Paul-Henry Cournède, Stergios Christodoulidis, Maria Vakalopoulou, Ismail Ben Ayed, Jose Dolz
2026	J	`jnl`	Language-Aware Information Maximization for Transductive Few-Shot CLIP. Trans. Mach. Learn. Res. Ghassen Baklouti, Maxime Zanella, Ismail Ben Ayed
2026	J	`jnl`	Locality-Attending Vision Transformer. CoRR Sina Hajimiri, Farzad Beizaee, Fereshteh Shakeri, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz
2026	J	`jnl`	MolRGen: A Training and Evaluation Setting for De Novo Molecular Generation with Reasonning Models. CoRR Philippe Formont, Maxime Darrin, Ismail Ben Ayed, Pablo Piantanida
2026	J	`jnl`	ORION: ORthonormal Text Encoding for Universal VLM AdaptatION. CoRR Omprakash Chakraborty, Jose Dolz, Ismail Ben Ayed
2026	J	`jnl`	SoC: Semantic Orthogonal Calibration for Test-Time Prompt Tuning. CoRR Leo Fillioux, Omprakash Chakraborty, Ismail Ben Ayed, Paul-Henry Cournède, Stergios Christodoulidis, Maria Vakalopoulou, Jose Dolz
2025	J	`jnl`	A Foundation Language-Image Model of the Retina (FLAIR): encoding expert knowledge in text supervision. Medical Image Anal. Julio Silva-Rodríguez, Hadi Chakor, Riadh Kobbi, Jose Dolz, Ismail Ben Ayed
2025	—	`conf`	A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text? IPMI (2) Julio Silva-Rodríguez, Jose Dolz, Ismail Ben Ayed
2025	J	`jnl`	A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text? CoRR Julio Silva-Rodríguez, Jose Dolz, Ismail Ben Ayed
2025	J	`jnl`	A Strong Baseline for Molecular Few-Shot Learning. Trans. Mach. Learn. Res. Philippe Formont, Hugo Jeannin, Pablo Piantanida, Ismail Ben Ayed
2025	J	`jnl`	Aggregatedf-average neural network applied to few-shot class incremental learning. Signal Process. Mathieu Vu, Émilie Chouzenoux, Ismail Ben Ayed, Jean-Christophe Pesquet
2025	—	`conf`	Analyzing the Impact of Low-Rank Adaptation for Cross-Domain Few-Shot Object Detection in Aerial Images. EUSIPCO Hicham Talaoubrid, Anissa Mokraoui, Ismail Ben Ayed, Axel Prouvost, Sonimith Hang, Monit Korn, Rémi Harvey
2025	J	`jnl`	Analyzing the Impact of Low-Rank Adaptation for Cross-Domain Few-Shot Object Detection in Aerial Images. CoRR Hicham Talaoubrid, Anissa Mokraoui, Ismail Ben Ayed, Axel Prouvost, Sonimith Hang, Monit Korn, Rémi Harvey
2025	A*	`conf`	AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples. AAAI Antonio Emanuele Cinà, Jérôme Rony, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Ismail Ben Ayed, Fabio Roli
2025	A	`conf`	CLIPArTT: Adaptation of CLIP to New Domains at Test Time. WACV Gustavo Adolfo Vargas Hakim, David Osowiechi, Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Moslem Yazdanpanah, Ismail Ben Ayed, Christian Desrosiers
2025	—	`conf`	Closed-Set Speaker Identification using Few-Shot Transductive Learning. EUSIPCO Gabriel Pirlogeanu, Ana Neacsu, Horia Cucu, Jean-Christophe Pesquet, Ismail Ben Ayed
2025	J	`jnl`	CoLo-CAM: Class activation mapping for object co-localization in weakly-labeled unconstrained videos. Pattern Recognit. Soufiane Belharbi, Shakeeb Murtaza, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2025	A*	`conf`	Conformal Prediction for Zero-Shot Models. CVPR Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz
2025	J	`jnl`	Conformal Prediction for Zero-Shot Models. CoRR Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz
2025	Misc	`conf`	Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene Classification. ICASSP Karim El Khoury, Maxime Zanella, Benoît Gérin, Tiffanie Godelaine, Benoît Macq, Saïd Mahmoudi, Christophe De Vleeschouwer, Ismail Ben Ayed
2025	A	`conf`	FDS: Feedback-Guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain Generalization. WACV Ali Bahri, Mehrdad Noori, Gustavo Adolfo Vargas Hakim, Ismail Ben Ayed, Milad Cheraghalikhani, David Osowiechi, Christian Desrosiers, Moslem Yazdanpanah
2025	—	`conf`	Few-Shot, Now for Real: Medical VLMs Adaptation Without Balanced Sets or Validation. MICCAI (7) Julio Silva-Rodríguez, Fereshteh Shakeri, Houda Bahig, Jose Dolz, Ismail Ben Ayed
2025	J	`jnl`	Few-Shot, Now for Real: Medical VLMs Adaptation without Balanced Sets or Validation. CoRR Julio Silva-Rodríguez, Fereshteh Shakeri, Houda Bahig, Jose Dolz, Ismail Ben Ayed
2025	—	`conf`	Full Conformal Adaptation of Medical Vision-Language Models. IPMI (2) Julio Silva-Rodríguez, Leo Fillioux, Paul-Henry Cournède, Maria Vakalopoulou, Stergios Christodoulidis, Ismail Ben Ayed, Jose Dolz
2025	J	`jnl`	Full Conformal Adaptation of Medical Vision-Language Models. CoRR Julio Silva-Rodríguez, Leo Fillioux, Paul-Henry Cournède, Maria Vakalopoulou, Stergios Christodoulidis, Ismail Ben Ayed, Jose Dolz
2025	J	`jnl`	GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3D. Trans. Mach. Learn. Res. Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori, Milad Cheraghalikhani, Gustavo Adolfo Vargas Hakim, David Osowiechi, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers
2025	J	`jnl`	Language-Aware Information Maximization for Transductive Few-Shot CLIP. CoRR Ghassen Baklouti, Maxime Zanella, Ismail Ben Ayed
2025	J	`jnl`	Learning Task-Agnostic Representations through Multi-Teacher Distillation. CoRR Philippe Formont, Maxime Darrin, Banafsheh Karimian, Jackie CK Cheung, Eric Granger, Ismail Ben Ayed, Mohammadhadi Shateri, Pablo Piantanida
2025	J	`jnl`	Neighbor-aware calibration of segmentation networks with penalty-based constraints. Medical Image Anal. Balamurali Murugesan, Sukesh Adiga Vasudeva, Bingyuan Liu, Herve Lombaert, Ismail Ben Ayed, Jose Dolz
2025	A	`conf`	Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation. WACV Sina Hajimiri, Ismail Ben Ayed, Jose Dolz
2025	J	`jnl`	Purge-Gate: Backpropagation-Free Test-Time Adaptation for Point Clouds Classification via Token Purging. CoRR Moslem Yazdanpanah, Ali Bahri, Mehrdad Noori, Sahar Dastani, Gustavo Adolfo Vargas Hakim, David Osowiechi, Ismail Ben Ayed, Christian Desrosiers
2025	A*	`conf`	Realistic Test-Time Adaptation of Vision-Language Models. CVPR Maxime Zanella, Clément Fuchs, Christophe De Vleeschouwer, Ismail Ben Ayed
2025	J	`jnl`	Realistic Test-Time Adaptation of Vision-Language Models. CoRR Maxime Zanella, Clément Fuchs, Christophe De Vleeschouwer, Ismail Ben Ayed
2025	J	`jnl`	Recovering Fairness Directly from Modularity: a New Way for Fair Community Partitioning. CoRR Yufeng Wang, Yiguang Bai, Tianqing Zhu, Ismail Ben Ayed, Jing Yuan
2025	—	`conf`	Reflect: Rectified Flows for Efficient Brain Anomaly Correction Transport. MICCAI (4) Farzad Beizaee, Sina Hajimiri, Ismail Ben Ayed, Gregory A. Lodygensky, Christian Desrosiers, Jose Dolz
2025	—	`conf`	Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation. MICCAI (7) Ghassen Baklouti, Julio Silva-Rodríguez, Jose Dolz, Houda Bahig, Ismail Ben Ayed
2025	J	`jnl`	Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation. CoRR Ghassen Baklouti, Julio Silva-Rodríguez, Jose Dolz, Houda Bahig, Ismail Ben Ayed
2025	A*	`conf`	SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds. ICML Ali Bahri, Moslem Yazdanpanah, Sahar Dastani, Mehrdad Noori, Gustavo Adolfo Vargas Hakim, David Osowiechi, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers
2025	J	`jnl`	SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds. CoRR Ali Bahri, Moslem Yazdanpanah, Sahar Dastani, Mehrdad Noori, Gustavo Adolfo Vargas Hakim, David Osowiechi, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers
2025	J	`jnl`	Sparsity Outperforms Low-Rank Projections in Few-Shot Adaptation. CoRR Nairouz Mrabah, Nicolas Richet, Ismail Ben Ayed, Éric Granger
2025	A*	`conf`	Spectral Informed Mamba for Robust Point Cloud Processing. CVPR Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori, Sahar Dastani, Milad Cheraghalikhani, Gustavo Adolfo Vargas Hakim, David Osowiechi, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers
2025	J	`jnl`	Spectral Informed Mamba for Robust Point Cloud Processing. CoRR Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori, Sahar Dastani, Milad Cheraghalikhani, David Osowiechi, Gustavo Adolfo Vargas Hakim, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers
2025	J	`jnl`	TRUST: Test-Time Refinement using Uncertainty-Guided SSM Traverses. CoRR Sahar Dastani, Ali Bahri, Gustavo Adolfo Vargas Hakim, Moslem Yazdanpanah, Mehrdad Noori, David Osowiechi, Samuel Barbeau, Ismail Ben Ayed, Herve Lombaert, Christian Desrosiers
2025	A	`conf`	Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging. WACV Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori, Sahar Dastani, Milad Cheraghalikhani, David Osowiechi, Farzad Beizaee, Gustavo Adolfo Vargas Hakim, Ismail Ben Ayed, Christian Desrosiers
2025	—	`conf`	Test-Time Adaptation of Medical Vision-Language Models. MedAGI Fereshteh Shakeri, Ghassen Baklouti, Julio Silva-Rodríguez, Maxime Zanella, Houda Bahig, Jose Dolz, Ismail Ben Ayed
2025	J	`jnl`	Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic Segmentation. CoRR Mehrdad Noori, David Osowiechi, Gustavo Adolfo Vargas Hakim, Ali Bahri, Moslem Yazdanpanah, Sahar Dastani, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers
2025	J	`jnl`	Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation. Medical Image Anal. Julio Silva-Rodríguez, Jose Dolz, Ismail Ben Ayed
2025	—	`conf`	Trustworthy Few-Shot Transfer of Medical VLMs Through Split Conformal Prediction. MICCAI (7) Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz
2025	J	`jnl`	Trustworthy Few-Shot Transfer of Medical VLMs through Split Conformal Prediction. CoRR Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz
2025	A*	`conf`	UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning. CVPR Long Zhou, Fereshteh Shakeri, Aymen Sadraoui, Mounir Kaaniche, Jean-Christophe Pesquet, Ismail Ben Ayed
2025	J	`jnl`	Variable Bregman Majorization-Minimization Algorithm and its Application to Dirichlet Maximum Likelihood Estimation. CoRR Ségolène Martin, Jean-Christophe Pesquet, Gabriele Steidl, Ismail Ben Ayed
2025	J	`jnl`	ViLU: Learning Vision-Language Uncertainties for Failure Prediction. CoRR Marc Lafon, Yannis Karmim, Julio Silva-Rodríguez, Paul Couairon, Clément Rambour, Raphaël Fournier-S'niehotta, Ismail Ben Ayed, Jose Dolz, Nicolas Thome
2025	J	`jnl`	Vocabulary-free few-shot learning for Vision-Language Models. CoRR Maxime Zanella, Clément Fuchs, Ismail Ben Ayed, Christophe De Vleeschouwer
2025	—	`conf`	Vocabulary-free few-shot learning for vision-language models. CVPR Workshops Maxime Zanella, Clément Fuchs, Ismail Ben Ayed, Christophe De Vleeschouwer
2024	A*	`conf`	A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models. CVPR Julio Silva-Rodríguez, Sina Hajimiri, Ismail Ben Ayed, Jose Dolz
2024	—	`conf`	A Transductive Few-Shot Learning Approach for Classification of Digital Histopathological Slides from Liver Cancer. ISBI Aymen Sadraoui, Ségolène Martin, Eliott Barbot, Astrid Laurent-Bellue, Jean-Christophe Pesquet, Catherine Guettier, Ismail Ben Ayed
2024	J	`jnl`	Are foundation models for computer vision good conformal predictors? CoRR Leo Fillioux, Julio Silva-Rodríguez, Ismail Ben Ayed, Paul-Henry Cournède, Maria Vakalopoulou, Stergios Christodoulidis, Jose Dolz
2024	J	`jnl`	AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples. CoRR Antonio Emanuele Cinà, Jérôme Rony, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Ismail Ben Ayed, Fabio Roli
2024	A	`conf`	Bag of Tricks for Fully Test-Time Adaptation. WACV Saypraseuth Mounsaveng, Florent Chiaroni, Malik Boudiaf, Marco Pedersoli, Ismail Ben Ayed
2024	—	`conf`	Boosting Vision-Language Models for Histopathology Classification: Predict All at Once. MedAGI@MICCAI Maxime Zanella, Fereshteh Shakeri, Yunshi Huang, Houda Bahig, Ismail Ben Ayed
2024	J	`jnl`	Boosting Vision-Language Models for Histopathology Classification: Predict all at once. CoRR Maxime Zanella, Fereshteh Shakeri, Yunshi Huang, Houda Bahig, Ismail Ben Ayed
2024	A*	`conf`	Boosting Vision-Language Models with Transduction. NeurIPS Maxime Zanella, Benoît Gérin, Ismail Ben Ayed
2024	J	`jnl`	Boosting Vision-Language Models with Transduction. CoRR Maxime Zanella, Benoît Gérin, Ismail Ben Ayed
2024	J	`jnl`	CLIPArTT: Light-weight Adaptation of CLIP to New Domains at Test Time. CoRR Gustavo Adolfo Vargas Hakim, David Osowiechi, Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Moslem Yazdanpanah, Ismail Ben Ayed, Christian Desrosiers
2024	—	`conf`	Class and Region-Adaptive Constraints for Network Calibration. MICCAI (8) Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz
2024	J	`jnl`	Class and Region-Adaptive Constraints for Network Calibration. CoRR Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz
2024	J	`jnl`	Do not trust what you trust: Miscalibration in Semi-supervised Learning. CoRR Shambhavi Mishra, Balamurali Murugesan, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz
2024	J	`jnl`	Do not trust what you trust: Miscalibration in Semisupervised Learning. Trans. Mach. Learn. Res. Shambhavi Mishra, Balamurali Murugesan, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz
2024	J	`jnl`	Do we really need dice? The hidden region-size biases of segmentation losses. Medical Image Anal. Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed
2024	J	`jnl`	Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene Classification. CoRR Karim El Khoury, Maxime Zanella, Benoît Gérin, Tiffanie Godelaine, Benoît Macq, Saïd Mahmoudi, Christophe De Vleeschouwer, Ismail Ben Ayed
2024	J	`jnl`	Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy. CoRR Julio Silva-Rodríguez, Jihed Chelbi, Waziha Kabir, Hadi Chakor, Jose Dolz, Ismail Ben Ayed, Riadh Kobbi
2024	J	`jnl`	FDS: Feedback-guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain Generalization. CoRR Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Gustavo Adolfo Vargas Hakim, David Osowiechi, Moslem Yazdanpanah, Ismail Ben Ayed, Christian Desrosiers
2024	—	`conf`	Few-Shot Adaptation of Medical Vision-Language Models. MICCAI (12) Fereshteh Shakeri, Yunshi Huang, Julio Silva-Rodríguez, Houda Bahig, An Tang, Jose Dolz, Ismail Ben Ayed
2024	J	`jnl`	Few-shot Adaptation of Medical Vision-Language Models. CoRR Fereshteh Shakeri, Yunshi Huang, Julio Silva-Rodríguez, Houda Bahig, An Tang, Jose Dolz, Ismail Ben Ayed
2024	J	`jnl`	GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3D. CoRR Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori, Milad Cheraghalikhani, Gustavo Adolfo Vargas Hakim, David Osowiechi, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers
2024	J	`jnl`	Is Meta-training Really Necessary for Molecular Few-Shot Learning ? CoRR Philippe Formont, Hugo Jeannin, Pablo Piantanida, Ismail Ben Ayed
2024	A*	`conf`	LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP. CVPR Yunshi Huang, Fereshteh Shakeri, Jose Dolz, Malik Boudiaf, Houda Bahig, Ismail Ben Ayed
2024	J	`jnl`	LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP. CoRR Yunshi Huang, Fereshteh Shakeri, Jose Dolz, Malik Boudiaf, Houda Bahig, Ismail Ben Ayed
2024	—	`conf`	Low-Rank Few-Shot Adaptation of Vision-Language Models. CVPR Workshops Maxime Zanella, Ismail Ben Ayed
2024	J	`jnl`	Low-Rank Few-Shot Adaptation of Vision-Language Models. CoRR Maxime Zanella, Ismail Ben Ayed
2024	A*	`conf`	NC-TTT: A Noise Constrastive Approach for Test-Time Training. CVPR David Osowiechi, Gustavo Adolfo Vargas Hakim, Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Moslem Yazdanpanah, Ismail Ben Ayed, Christian Desrosiers
2024	J	`jnl`	NC-TTT: A Noise Contrastive Approach for Test-Time Training. CoRR David Osowiechi, Gustavo Adolfo Vargas Hakim, Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Moslem Yazdanpanah, Ismail Ben Ayed, Christian Desrosiers
2024	J	`jnl`	Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints. CoRR Balamurali Murugesan, Sukesh Adiga Vasudeva, Bingyuan Liu, Hervé Lombaert, Ismail Ben Ayed, Jose Dolz
2024	A*	`conf`	On the Test-Time Zero-Shot Generalization of Vision-Language Models: Do we Really need Prompt Learning? CVPR Maxime Zanella, Ismail Ben Ayed
2024	J	`jnl`	On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning? CoRR Maxime Zanella, Ismail Ben Ayed
2024	J	`jnl`	Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation. CoRR Sina Hajimiri, Ismail Ben Ayed, Jose Dolz
2024	A	`conf`	Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation. WACV Balamurali Murugesan, Rukhshanda Hussain, Rajarshi Bhattacharya, Ismail Ben Ayed, Jose Dolz
2024	—	`conf`	Robust Calibration of Large Vision-Language Adapters. ECCV (24) Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz
2024	J	`jnl`	Robust Calibration of Large Vision-Language Adapters. CoRR Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz
2024	J	`jnl`	Simplex Clustering via sBeta With Applications to Online Adjustment of Black-Box Predictions. IEEE Trans. Pattern Anal. Mach. Intell. Florent Chiaroni, Malik Boudiaf, Amar Mitiche, Ismail Ben Ayed
2024	J	`jnl`	Structure-aware feature stylization for domain generalization. Comput. Vis. Image Underst. Milad Cheraghalikhani, Mehrdad Noori, David Osowiechi, Gustavo Adolfo Vargas Hakim, Ismail Ben Ayed, Christian Desrosiers
2024	J	`jnl`	TFS-ViT: Token-level feature stylization for domain generalization. Pattern Recognit. Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Gustavo Adolfo Vargas Hakim, David Osowiechi, Ismail Ben Ayed, Christian Desrosiers
2024	J	`jnl`	Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging. CoRR Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori, Sahar Dastani, Milad Cheraghalikhani, David Osowiechi, Farzad Beizaee, Gustavo Adolfo Vargas Hakim, Ismail Ben Ayed, Christian Desrosiers
2024	J	`jnl`	Training Graph Neural Networks Subject to a Tight Lipschitz Constraint. Trans. Mach. Learn. Res. Simona Ioana Juvina, Ana Antonia Neacsu, Jérôme Rony, Jean-Christophe Pesquet, Corneliu Burileanu, Ismail Ben Ayed
2024	A*	`conf`	Transductive Zero-Shot and Few-Shot CLIP. CVPR Ségolène Martin, Yunshi Huang, Fereshteh Shakeri, Jean-Christophe Pesquet, Ismail Ben Ayed
2024	J	`jnl`	Transductive Zero-Shot and Few-Shot CLIP. CoRR Ségolène Martin, Yunshi Huang, Fereshteh Shakeri, Jean-Christophe Pesquet, Ismail Ben Ayed
2024	J	`jnl`	UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning. CoRR Long Zhou, Fereshteh Shakeri, Aymen Sadraoui, Mounir Kaaniche, Jean-Christophe Pesquet, Ismail Ben Ayed
2024	A*	`conf`	WATT: Weight Average Test Time Adaptation of CLIP. NeurIPS David Osowiechi, Mehrdad Noori, Gustavo Adolfo Vargas Hakim, Moslem Yazdanpanah, Ali Bahri, Milad Cheraghalikhani, Sahar Dastani, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers
2024	J	`jnl`	WATT: Weight Average Test-Time Adaptation of CLIP. CoRR David Osowiechi, Mehrdad Noori, Gustavo Adolfo Vargas Hakim, Moslem Yazdanpanah, Ali Bahri, Milad Cheraghalikhani, Sahar Dastani, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers
2024	A*	`conf`	When is an Embedding Model More Promising than Another? NeurIPS Maxime Darrin, Philippe Formont, Ismail Ben Ayed, Jackie CK Cheung, Pablo Piantanida
2024	J	`jnl`	When is an Embedding Model More Promising than Another? CoRR Maxime Darrin, Philippe Formont, Ismail Ben Ayed, Jackie C. K. Cheung, Pablo Piantanida
2024	J	`jnl`	Words Matter: Leveraging Individual Text Embeddings for Code Generation in CLIP Test-Time Adaptation. CoRR Shambhavi Mishra, Julio Silva-Rodríguez, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz
2023	J	`jnl`	A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models. CoRR Julio Silva-Rodríguez, Sina Hajimiri, Ismail Ben Ayed, Jose Dolz
2023	J	`jnl`	A Foundation LAnguage-Image model of the Retina (FLAIR): Encoding expert knowledge in text supervision. CoRR Julio Silva-Rodríguez, Hadi Chakor, Riadh Kobbi, Jose Dolz, Ismail Ben Ayed
2023	A*	`conf`	A Strong Baseline for Generalized Few-Shot Semantic Segmentation. CVPR Sina Hajimiri, Malik Boudiaf, Ismail Ben Ayed, Jose Dolz
2023	J	`jnl`	A transductive few-shot learning approach for classification of digital histopathological slides from liver cancer. CoRR Aymen Sadraoui, Ségolène Martin, Eliott Barbot, Astrid Laurent-Bellue, Jean-Christophe Pesquet, Catherine Guettier, Ismail Ben Ayed
2023	J	`jnl`	Adversarial Robustness Via Fisher-Rao Regularization. IEEE Trans. Pattern Anal. Mach. Intell. Marine Picot, Francisco Messina, Malik Boudiaf, Fabrice Labeau, Ismail Ben Ayed, Pablo Piantanida
2023	J	`jnl`	Aggregated f-average Neural Network for Interpretable Ensembling. CoRR Mathieu Vu, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed
2023	J	`jnl`	Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images. CoRR Saypraseuth Mounsaveng, Issam H. Laradji, David Vázquez, Marco Pedersoli, Ismail Ben Ayed
2023	J	`jnl`	Bag of Tricks for Fully Test-Time Adaptation. CoRR Saypraseuth Mounsaveng, Florent Chiaroni, Malik Boudiaf, Marco Pedersoli, Ismail Ben Ayed
2023	J	`jnl`	Calibrating segmentation networks with margin-based label smoothing. Medical Image Anal. Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz
2023	A*	`conf`	Class Adaptive Network Calibration. CVPR Bingyuan Liu, Jérôme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed
2023	A*	`conf`	ClusT3: Information Invariant Test-Time Training. ICCV Gustavo Adolfo Vargas Hakim, David Osowiechi, Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Ismail Ben Ayed, Christian Desrosiers
2023	J	`jnl`	ClusT3: Information Invariant Test-Time Training. CoRR Gustavo Adolfo Vargas Hakim, David Osowiechi, Mehrdad Noori, Milad Cheraghalikhani, Ismail Ben Ayed, Christian Desrosiers
2023	J	`jnl`	CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos. CoRR Soufiane Belharbi, Shakeeb Murtaza, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2023	—	`conf`	Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy. CGI (3) Julio Silva-Rodríguez, Jihed Chelbi, Waziha Kabir, Hadi Chakor, Jose Dolz, Ismail Ben Ayed, Riadh Kobbi
2023	A*	`conf`	Open-Set Likelihood Maximization for Few-Shot Learning. CVPR Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Céline Hudelot, Ismail Ben Ayed
2023	J	`jnl`	Open-Set Likelihood Maximization for Few-Shot Learning. CoRR Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Céline Hudelot, Ismail Ben Ayed
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`	Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation. CoRR Balamurali Murugesan, Rukhshanda Hussain, Rajarshi Bhattacharya, Ismail Ben Ayed, Jose Dolz
2023	A*	`conf`	Proximal Splitting Adversarial Attack for Semantic Segmentation. CVPR Jérôme Rony, Jean-Christophe Pesquet, Ismail Ben Ayed
2023	J	`jnl`	Segmentation with mixed supervision: Confidence maximization helps knowledge distillation. Medical Image Anal. Bingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz
2023	A	`conf`	TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos. WACV Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2023	J	`jnl`	TFS-ViT: Token-Level Feature Stylization for Domain Generalization. CoRR Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Gustavo Adolfo Vargas Hakim, David Osowiechi, Ismail Ben Ayed, Christian Desrosiers
2023	A	`conf`	TTTFlow: Unsupervised Test-Time Training with Normalizing Flow. WACV David Osowiechi, Gustavo Adolfo Vargas Hakim, Mehrdad Noori, Milad Cheraghalikhani, Ismail Ben Ayed, Christian Desrosiers
2023	J	`jnl`	Task Adaptive Feature Transformation for One-Shot Learning. CoRR Imtiaz Masud Ziko, Freddy Lécué, Ismail Ben Ayed
2023	—	`conf`	Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation. ISIC/Care-AI/MedAGI/DeCaF@MICCAI Julio Silva-Rodríguez, Jose Dolz, Ismail Ben Ayed
2023	A*	`conf`	Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. EMNLP Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Myriam Tami, Victor Storchan, Ismail Ben Ayed, Pablo Piantanida
2023	J	`jnl`	Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. CoRR Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Victor Storchan, Myriam Tami, Ismail Ben Ayed, Céline Hudelot, Pablo Piantanida
2023	J	`jnl`	Transductive few-shot adapters for medical image segmentation. CoRR Julio Silva-Rodríguez, Jose Dolz, Ismail Ben Ayed
2023	—	`conf`	Trust Your Neighbours: Penalty-Based Constraints for Model Calibration. MICCAI (3) Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Herve Lombaert, Ismail Ben Ayed, Jose Dolz
2023	J	`jnl`	Trust your neighbours: Penalty-based constraints for model calibration. CoRR Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Hervé Lombaert, Ismail Ben Ayed, Jose Dolz
2022	J	`jnl`	A Strong Baseline for Generalized Few-Shot Semantic Segmentation. CoRR Sina Hajimiri, Malik Boudiaf, Ismail Ben Ayed, Jose Dolz
2022	J	`jnl`	Calibrating Segmentation Networks with Margin-based Label Smoothing. CoRR Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz
2022	J	`jnl`	Class Adaptive Network Calibration. CoRR Bingyuan Liu, Jérôme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed
2022	J	`jnl`	Connectivity-constrained Interactive Panoptic Segmentation. CoRR Ruobing Shen, Bo Tang, Andrea Lodi, Ismail Ben Ayed, Thomas Guthier
2022	—	`conf`	Constrained deep networks: Lagrangian optimization via Log-barrier extensions. EUSIPCO Hoel Kervadec, Jose Dolz, Jing Yuan, Christian Desrosiers, Eric Granger, Ismail Ben Ayed
2022	J	`jnl`	Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty. IEEE Trans. Medical Imaging Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2022	A	`conf`	F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling. WACV Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2022	J	`jnl`	FHIST: A Benchmark for Few-shot Classification of Histological Images. CoRR Fereshteh Shakeri, Malik Boudiaf, Sina Mohammadi, Ivaxi Sheth, Mohammad Havaei, Ismail Ben Ayed, Samira Ebrahimi Kahou
2022	J	`jnl`	Leveraging Uncertainty for Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images. CoRR Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2022	J	`jnl`	Model-Agnostic Few-Shot Open-Set Recognition. CoRR Malik Boudiaf, Etienne Bennequin, Myriam Tami, Céline Hudelot, Antoine Toubhans, Pablo Piantanida, 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
2022	—	`conf`	Negative Evidence Matters in Interpretable Histology Image Classification. MIDL Soufiane Belharbi, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2022	J	`jnl`	Negative Evidence Matters in Interpretable Histology Image Classification. CoRR Soufiane Belharbi, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2022	A*	`conf`	Parameter-free Online Test-time Adaptation. CVPR Malik Boudiaf, Romain Müller, Ismail Ben Ayed, Luca Bertinetto
2022	J	`jnl`	Parameter-free Online Test-time Adaptation. CoRR Malik Boudiaf, Romain Müller, Ismail Ben Ayed, Luca Bertinetto
2022	J	`jnl`	Proximal Splitting Adversarial Attacks for Semantic Segmentation. CoRR Jérôme Rony, Jean-Christophe Pesquet, Ismail Ben Ayed
2022	J	`jnl`	Realistic Evaluation of Transductive Few-Shot Learning. CoRR Olivier Veilleux, Malik Boudiaf, Pablo Piantanida, Ismail Ben Ayed
2022	J	`jnl`	Simplex Clustering via sBeta with Applications to Online Adjustment of Black-Box Predictions. CoRR Florent Chiaroni, Malik Boudiaf, Amar Mitiche, Ismail Ben Ayed
2022	J	`jnl`	Source-free domain adaptation for image segmentation. Medical Image Anal. Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed
2022	J	`jnl`	TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos. CoRR Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2022	J	`jnl`	TTTFlow: Unsupervised Test-Time Training with Normalizing Flow. CoRR David Osowiechi, Gustavo Adolfo Vargas Hakim, Mehrdad Noori, Milad Cheraghalikhani, Ismail Ben Ayed, Christian Desrosiers
2022	—	`conf`	Test-Time Adaptation with Shape Moments for Image Segmentation. MICCAI (4) Mathilde Bateson, Herve Lombaert, Ismail Ben Ayed
2022	J	`jnl`	Test-Time Adaptation with Shape Moments for Image Segmentation. CoRR Mathilde Bateson, Hervé Lombaert, Ismail Ben Ayed
2022	A*	`conf`	The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration. CVPR Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz
2022	J	`jnl`	Towards Practical Few-Shot Query Sets: Transductive Minimum Description Length Inference. CoRR Ségolène Martin, Malik Boudiaf, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed
2022	A*	`conf`	Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference. NeurIPS Ségolène Martin, Malik Boudiaf, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed
2021	J	`jnl`	A Preconditioned Alternating Minimization Framework for Nonconvex and Half Quadratic Optimization. CoRR Shengxiang Deng, Ismail Ben Ayed, Hongpeng Sun
2021	J	`jnl`	Adversarial Robustness via Fisher-Rao Regularization. CoRR Marine Picot, Francisco Messina, Malik Boudiaf, Fabrice Labeau, Ismail Ben Ayed, Pablo Piantanida
2021	A*	`conf`	Augmented Lagrangian Adversarial Attacks. ICCV Jérôme Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed
2021	—	`conf`	Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good! MIDL Hoel Kervadec, Houda Bahig, Laurent Létourneau-Guillon, Jose Dolz, Ismail Ben Ayed
2021	J	`jnl`	Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good! CoRR Hoel Kervadec, Houda Bahig, Laurent Létourneau-Guillon, José Dolz, Ismail Ben Ayed
2021	J	`jnl`	Boundary loss for highly unbalanced segmentation. Medical Image Anal. Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed
2021	J	`jnl`	Constrained Domain Adaptation for Image Segmentation. IEEE Trans. Medical Imaging Mathilde Bateson, José Dolz, Hoel Kervadec, Hervé Lombaert, Ismail Ben Ayed
2021	A	`conf`	Deep Active Learning for Joint Classification & Segmentation with Weak Annotator. WACV Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2021	J	`jnl`	Deep Clustering: On the Link Between Discriminative Models and K-Means. IEEE Trans. Pattern Anal. Mach. Intell. Mohammed Jabi, Marco Pedersoli, Amar Mitiche, Ismail Ben Ayed
2021	J	`jnl`	Exploiting prunability for person re-identification. EURASIP J. Image Video Process. Hugo Masson, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Mehrsan Javan, Parthipan Siva, Ismail Ben Ayed, Eric Granger
2021	J	`jnl`	F-CAM: Full Resolution CAM via Guided Parametric Upscaling. CoRR Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
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`	Flow guided mutual attention for person re-identification. Image Vis. Comput. Madhu Kiran, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Louis-Antoine Blais-Morin, Ismail Ben Ayed, Eric Granger
2021	A	`conf`	Learning Data Augmentation with Online Bilevel Optimization for Image Classification. WACV Saypraseuth Mounsaveng, Issam H. Laradji, Ismail Ben Ayed, David Vázquez, Marco Pedersoli
2021	J	`jnl`	Mixed-supervised segmentation: Confidence maximization helps knowledge distillation. CoRR Bingyuan Liu, Christian Desrosiers, 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	A	`conf`	On the Texture Bias for Few-Shot CNN Segmentation. WACV Reza Azad, Abdur Razzaq Fayjie, Claude Kauffmann, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz
2021	A*	`conf`	Realistic evaluation of transductive few-shot learning. NeurIPS Olivier Veilleux, Malik Boudiaf, Pablo Piantanida, Ismail Ben Ayed
2021	J	`jnl`	Source-Free Domain Adaptation for Image Segmentation. CoRR Mathilde Bateson, Jose Dolz, Hoel Kervadec, Hervé Lombaert, Ismail Ben Ayed
2021	—	`conf`	Teach Me to Segment with Mixed Supervision: Confident Students Become Masters. IPMI Jose Dolz, Christian Desrosiers, Ismail Ben Ayed
2021	J	`jnl`	The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration. CoRR Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz
2021	J	`jnl`	The hidden label-marginal biases of segmentation losses. CoRR Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed
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`	AIDE: Annotation-efficient deep learning for automatic medical image segmentation. CoRR 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
2020	J	`jnl`	An ILP Model for Multi-Label MRFs With Connectivity Constraints. IEEE Trans. Image Process. Ruobing Shen, Bo Tang, Andrea Lodi, Andrea Tramontani, Ismail Ben Ayed
2020	J	`jnl`	Augmented Lagrangian Adversarial Attacks. CoRR Jérôme Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed
2020	—	`conf`	Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision. MIDL Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed
2020	J	`jnl`	Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision. CoRR Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed
2020	—	`conf`	Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images. MICCAI (5) Adrian Galdran, Jose Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed
2020	J	`jnl`	Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images. CoRR Adrian Galdran, José Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed
2020	J	`jnl`	Deep Active Learning for Joint Classification & Segmentation with Weak Annotator. CoRR Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2020	J	`jnl`	Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation. Comput. Medical Imaging Graph. Jose Dolz, Christian Desrosiers, Li Wang, Jing Yuan, Dinggang Shen, Ismail Ben Ayed
2020	J	`jnl`	Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty. CoRR Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2020	J	`jnl`	Discretely-constrained deep network for weakly supervised segmentation. Neural Networks Jizong Peng, Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, Marco Pedersoli, Christian Desrosiers
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	J	`jnl`	Flow-Guided Attention Networks for Video-Based Person Re-Identification. CoRR Madhu Kiran, Amran Bhuiyan, Louis-Antoine Blais-Morin, Mehrsan Javan, Ismail Ben Ayed, Eric Granger
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	—	`ed.`	International Conference on Medical Imaging with Deep Learning, MIDL 2020, 6-8 July 2020, Montréal, QC, Canada. MIDL Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Hervé Lombaert, Christopher Pal
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`	Learning Data Augmentation with Online Bilevel Optimization for Image Classification. CoRR Saypraseuth Mounsaveng, Issam H. Laradji, Ismail Ben Ayed, David Vázquez, Marco Pedersoli
2020	J	`jnl`	Medical Imaging with Deep Learning: MIDL 2020 - Short Paper Track. CoRR Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Herve Lombaert, Chris Pal
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	—	`conf`	On Direct Distribution Matching for Adapting Segmentation Networks. MIDL Georg Pichler, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida
2020	J	`jnl`	On the Texture Bias for Few-Shot CNN Segmentation. CoRR Reza Azad, Abdur Razzaq Fayjie, Claude Kauffmann, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz
2020	A	`conf`	Pose Guided Gated Fusion for Person Re-identification. WACV Amran Bhuiyan, Yang Liu, Parthipan Siva, Mehrsan Javan, Ismail Ben Ayed, Eric Granger
2020	J	`jnl`	Semi-supervised few-shot learning for medical image segmentation. CoRR Abdur Razzaq Fayjie, Reza Azad, Marco Pedersoli, Claude Kauffmann, Ismail Ben Ayed, Jose Dolz
2020	—	`conf`	Source-Relaxed Domain Adaptation for Image Segmentation. MICCAI (1) Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed
2020	J	`jnl`	Source-Relaxed Domain Adaptation for Image Segmentation. CoRR Mathilde Bateson, Hoel Kervadec, Jose Dolz, Herve Lombaert, Ismail Ben Ayed
2020	J	`jnl`	Teach me to segment with mixed supervision: Confident students become masters. CoRR Jose Dolz, Christian Desrosiers, Ismail Ben Ayed
2020	J	`jnl`	The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models. CoRR Adrian Galdran, André Anjos, José Dolz, Hadi Chakor, Hervé Lombaert, 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`	A Survey of Pruning Methods for Efficient Person Re-identification Across Domains. CoRR Hugo Masson, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Mehrsan Javan, Parthipan Siva, Ismail Ben Ayed, Eric Granger
2019	J	`jnl`	Adversarial Learning of General Transformations for Data Augmentation. CoRR Saypraseuth Mounsaveng, David Vázquez, Ismail Ben Ayed, Marco Pedersoli
2019	J	`jnl`	Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. IEEE Trans. Medical Imaging Li Wang, Dong Nie, Guannan Li, Élodie Puybareau, Jose Dolz, Qian Zhang, Fan Wang, Jing Xia, Zhengwang Wu, Jiawei Chen, Kim-Han Thung, Toan Duc Bui, Jitae Shin, Guodong Zeng, Guoyan Zheng, Vladimir S. Fonov, Andrew Doyle, Yongchao Xu, Pim Moeskops, Josien P. W. Pluim, Christian Desrosiers, Ismail Ben Ayed, Gerard Sanroma, Oualid M. Benkarim, Adrià Casamitjana, Verónica Vilaplana, Weili Lin, Gang Li, Dinggang Shen
2019	A*	`conf`	Beyond Gradient Descent for Regularized Segmentation Losses. CVPR Dmitrii Marin, Meng Tang, Ismail Ben Ayed, Yuri Boykov
2019	—	`conf`	Boundary loss for highly unbalanced segmentation. MIDL Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, 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
2019	—	`conf`	Constrained Domain Adaptation for Segmentation. MICCAI (2) Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed
2019	J	`jnl`	Constrained domain adaptation for segmentation. CoRR Mathilde Bateson, Jose Dolz, Hoel Kervadec, Hervé Lombaert, Ismail Ben Ayed
2019	J	`jnl`	Constrained-CNN losses for weakly supervised segmentation. Medical Image Anal. Hoel Kervadec, Jose Dolz, Meng Tang, Eric Granger, Yuri Boykov, Ismail Ben Ayed
2019	—	`conf`	Curriculum Semi-supervised Segmentation. MICCAI (2) Hoel Kervadec, Jose Dolz, Éric Granger, Ismail Ben Ayed
2019	J	`jnl`	Curriculum semi-supervised segmentation. CoRR Hoel Kervadec, Jose Dolz, Eric Granger, Ismail Ben Ayed
2019	A*	`conf`	Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses. CVPR Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger
2019	J	`jnl`	Deep Ordinal Classification with Inequality Constraints. CoRR Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2019	J	`jnl`	Deep weakly-supervised learning methods for classification and localization in histology images: a survey. CoRR Jérôme Rony, Soufiane Belharbi, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2019	J	`jnl`	Discretely-constrained deep network for weakly supervised segmentation. CoRR Jizong Peng, Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, Marco Pedersoli, Christian Desrosiers
2019	J	`jnl`	HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation. IEEE Trans. Medical Imaging Jose Dolz, Karthik Gopinath, Jing Yuan, Herve Lombaert, Christian Desrosiers, Ismail Ben Ayed
2019	J	`jnl`	Kernel Clustering: Density Biases and Solutions. IEEE Trans. Pattern Anal. Mach. Intell. Dmitrii Marin, Meng Tang, Ismail Ben Ayed, Yuri Boykov
2019	J	`jnl`	Kernel Cuts: Kernel and Spectral Clustering Meet Regularization. Int. J. Comput. Vis. Meng Tang, Dmitrii Marin, Ismail Ben Ayed, Yuri Boykov
2019	J	`jnl`	Log-barrier constrained CNNs. CoRR Hoel Kervadec, Jose Dolz, Jing Yuan, Christian Desrosiers, Eric Granger, Ismail Ben Ayed
2019	J	`jnl`	On Direct Distribution Matching for Adapting Segmentation Networks. CoRR Georg Pichler, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida
2019	J	`jnl`	Universal Adversarial Audio Perturbations. CoRR Sajjad Abdoli, Luiz G. Hafemann, Jérôme Rony, Ismail Ben Ayed, Patrick Cardinal, Alessandro L. Koerich
2019	J	`jnl`	Weakly Supervised Object Localization using Min-Max Entropy: an Interpretable Framework. CoRR Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
2018	J	`jnl`	3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study. NeuroImage Jose Dolz, Christian Desrosiers, Ismail Ben Ayed
2018	J	`jnl`	ADM for grid CRF loss in CNN segmentation. CoRR Dmitrii Marin, Meng Tang, Ismail Ben Ayed, Yuri Boykov
2018	J	`jnl`	Boundary loss for highly unbalanced segmentation. CoRR Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed
2018	J	`jnl`	Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images. NeuroImage Aaron Carass, Jennifer L. Cuzzocreo, Shuo Han, Carlos R. Hernandez-Castillo, Paul E. Rasser, Melanie Ganz, Vincent Beliveau, Jose Dolz, Ismail Ben Ayed, Christian Desrosiers, Benjamin Thyreau, José E. Romero, Pierrick Coupé, José V. Manjón, Vladimir S. Fonov, D. Louis Collins, Sarah H. Ying, Chiadi U. Onyike, Jerry L. Prince
2018	J	`jnl`	Constrained-CNN losses forweakly supervised segmentation. CoRR Hoel Kervadec, Jose Dolz, Meng Tang, Eric Granger, Yuri Boykov, Ismail Ben Ayed
2018	J	`jnl`	Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses. CoRR Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger
2018	J	`jnl`	Deep clustering: On the link between discriminative models and K-means. CoRR Mohammed Jabi, Marco Pedersoli, Amar Mitiche, Ismail Ben Ayed
2018	—	`conf`	Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities. BrainLes@MICCAI (1) Jose Dolz, Ismail Ben Ayed, Christian Desrosiers
2018	J	`jnl`	Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities. CoRR Jose Dolz, Ismail Ben Ayed, Christian Desrosiers
2018	J	`jnl`	HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation. CoRR Jose Dolz, Karthik Gopinath, Jing Yuan, Herve Lombaert, Christian Desrosiers, Ismail Ben Ayed
2018	—	`conf`	IVD-Net: Intervertebral Disc Localization and Segmentation in MRI with a Multi-modal UNet. CSI@MICCAI Jose Dolz, Christian Desrosiers, Ismail Ben Ayed
2018	J	`jnl`	IVD-Net: Intervertebral disc localization and segmentation in MRI with a multi-modal UNet. CoRR Jose Dolz, Christian Desrosiers, Ismail Ben Ayed
2018	—	`conf`	Isointense infant brain segmentation with a hyper-dense connected convolutional neural network. ISBI Jose Dolz, Ismail Ben Ayed, Jing Yuan, Christian Desrosiers
2018	J	`jnl`	Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks. CoRR Jose Dolz, Xiaopan Xu, Jérôme Rony, Jing Yuan, Yang Liu, Eric Granger, Christian Desrosiers, Xi Zhang, Ismail Ben Ayed, Hongbing Lu
2018	—	`conf`	On Regularized Losses for Weakly-supervised CNN Segmentation. ECCV (16) Meng Tang, Federico Perazzi, Abdelaziz Djelouah, Ismail Ben Ayed, Christopher Schroers, Yuri Boykov
2018	J	`jnl`	On Regularized Losses for Weakly-supervised CNN Segmentation. CoRR Meng Tang, Federico Perazzi, Abdelaziz Djelouah, Ismail Ben Ayed, Christopher Schroers, Yuri Boykov
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
2017	J	`jnl`	A 3D fully convolutional neural network and a random walker to segment the esophagus in CT. CoRR Tobias Fechter, Sonja Adebahr, Dimos Baltas, Ismail Ben Ayed, Christian Desrosiers, Jose Dolz
2017	J	`jnl`	An ILP Solver for Multi-label MRFS with Connectivity Constraints. CoRR Ruobing Shen, Eric Kendinibilir, Ismail Ben Ayed, Andrea Lodi, Andrea Tramontani, Gerhard Reinelt
2017	A*	`conf`	DOPE: Distributed Optimization for Pairwise Energies. CVPR Jose Dolz, Ismail Ben Ayed, Christian Desrosiers
2017	J	`jnl`	DOPE: Distributed Optimization for Pairwise Energies. CoRR Jose Dolz, Ismail Ben Ayed, Christian Desrosiers
2017	J	`jnl`	Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation. CoRR Jose Dolz, Christian Desrosiers, Li Wang, Jing Yuan, Dinggang Shen, Ismail Ben Ayed
2017	J	`jnl`	HyperDense-Net: A hyper-densely connected CNN for multi-modal image semantic segmentation. CoRR Jose Dolz, Ismail Ben Ayed, Jing Yuan, Christian Desrosiers
2017	J	`jnl`	Local Submodularization for Binary Pairwise Energies. IEEE Trans. Pattern Anal. Mach. Intell. Lena Gorelick, Yuri Boykov, Olga Veksler, Ismail Ben Ayed, Andrew Delong
2017	J	`jnl`	Regularised differentiation for image derivatives. IET Image Process. Yosra Mathlouthi, Amar Mitiche, Ismail Ben Ayed
2017	J	`jnl`	Spine labeling in MRI via regularized distribution matching. Int. J. Comput. Assist. Radiol. Surg. Seyed-Parsa Hojjat, Ismail Ben Ayed, Gregory J. Garvin, Kumaradevan Punithakumar
2017	—	`conf`	Unbiased Shape Compactness for Segmentation. MICCAI (1) Jose Dolz, Ismail Ben Ayed, Christian Desrosiers
2017	J	`jnl`	Unbiased Shape Compactness for Segmentation. CoRR Jose Dolz, Ismail Ben Ayed, Christian Desrosiers
2016	J	`jnl`	3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study. CoRR Jose Dolz, Christian Desrosiers, Ismail Ben Ayed
2016	—	`conf`	Boundary Preserving Variational Image Differentiation. GCPR Yosra Mathlouthi, Amar Mitiche, Ismail Ben Ayed
2016	J	`jnl`	Detecting left ventricular impaired relaxation in cardiac MRI using moving mesh correspondences. Comput. Methods Programs Biomed. Kumaradevan Punithakumar, Ismail Ben Ayed, Mariam Afshin, Aashish Goela, Ali Islam, Shuo Li, Pierre Boulanger, Harald Becher, Michelle Noga
2016	J	`jnl`	Monocular, Boundary-Preserving Joint Recovery of Scene Flow and Depth. Frontiers ICT Yosra Mathlouthi, Amar Mitiche, Ismail Ben Ayed
2016	—	`conf`	Normalized Cut Meets MRF. ECCV (2) Meng Tang, Dmitrii Marin, Ismail Ben Ayed, Yuri Boykov
2016	—	`ch.`	Shape Distances for Binary Image Segmentation. Perspectives in Shape Analysis Frank R. Schmidt, Lena Gorelick, Ismail Ben Ayed, Yuri Boykov, Thomas Brox
2016	J	`jnl`	Spine labeling in axial magnetic resonance imaging via integral kernels. Comput. Medical Imaging Graph. Brandon Miles, Ismail Ben Ayed, Seyed-Parsa Hojjat, Michael Wang, Shuo Li, Aaron Fenster, Gregory J. Garvin
2015	J	`jnl`	3D multimodal MRI brain glioma tumor and edema segmentation: A graph cut distribution matching approach. Comput. Medical Imaging Graph. Ines Njeh, Lamia Sallemi, Ismail Ben Ayed, Khalil Chtourou, Stéphane Lehéricy, Damien Galanaud, Ahmed Ben Hamida
2015	J	`jnl`	Distribution Matching with the Bhattacharyya Similarity: A Bound Optimization Framework. IEEE Trans. Pattern Anal. Mach. Intell. Ismail Ben Ayed, Kumaradevan Punithakumar, Shuo Li
2015	J	`jnl`	Monocular Concurrent Recovery of Structure and Motion Scene Flow. Frontiers ICT Amar Mitiche, Yosra Mathlouthi, Ismail Ben Ayed
2015	J	`jnl`	Right ventricle segmentation from cardiac MRI: A collation study. Medical Image Anal. Caroline Petitjean, Maria A. Zuluaga, Wenjia Bai, Jean-Nicolas Dacher, Damien Grosgeorge, Jérôme Caudron, Su Ruan, Ismail Ben Ayed, Manuel Jorge Cardoso, Hsiang-Chou Chen, Daniel Jimenez-Carretero, María J. Ledesma-Carbayo, Christos Davatzikos, Jimit Doshi, Güray Erus, Oskar M. O. Maier, Cyrus M. S. Nambakhsh, Yangming Ou, Sébastien Ourselin, Chun-Wei Peng, Nicholas S. Peters, Terry M. Peters, Martin Rajchl, Daniel Rueckert, Andrés Santos, Wenzhe Shi, Ching-Wei Wang, Haiyan Wang, Jing Yuan
2015	J	`jnl`	Right ventricular segmentation in cardiac MRI with moving mesh correspondences. Comput. Medical Imaging Graph. Kumaradevan Punithakumar, Michelle Noga, Ismail Ben Ayed, Pierre Boulanger
2015	A*	`conf`	Secrets of GrabCut and Kernel K-Means. ICCV Meng Tang, Ismail Ben Ayed, Dmitrii Marin, Yuri Boykov
2015	J	`jnl`	Secrets of GrabCut and Kernel K-means. CoRR Meng Tang, Ismail Ben Ayed, Dmitrii Marin, Yuri Boykov
2015	A*	`conf`	Volumetric Bias in Segmentation and Reconstruction: Secrets and Solutions. ICCV Yuri Boykov, Hossam N. Isack, Carl Olsson, Ismail Ben Ayed
2015	J	`jnl`	Volumetric Bias in Segmentation and Reconstruction: Secrets and Solutions. CoRR Yuri Boykov, Hossam N. Isack, Carl Olsson, Ismail Ben Ayed
2014	J	`jnl`	Convex-Relaxed Kernel Mapping for Image Segmentation. IEEE Trans. Image Process. Mohamed Ben Salah, Ismail Ben Ayed, Jing Yuan, Hong Zhang
2014	—	`conf`	Detecting left ventricular impaired relaxation using MR imaging. BHI Kumaradevan Punithakumar, Michelle Noga, Pierre Boulanger, Ismail Ben Ayed, Mariam Afshin, Aashish Goela, Ali Islam, Shuo Li
2014	—	`conf`	Direct Estimation of Dense Scene Flow and Depth from a Monocular Sequence. ISVC (1) Yosra Mathlouthi, Amar Mitiche, Ismail Ben Ayed
2014	—	`conf`	Pseudo-bound Optimization for Binary Energies. ECCV (5) Meng Tang, Ismail Ben Ayed, Yuri Boykov
2014	J	`jnl`	Regional Assessment of Cardiac Left Ventricular Myocardial Function via MRI Statistical Features. IEEE Trans. Medical Imaging Mariam Afshin, Ismail Ben Ayed, Kumaradevan Punithakumar, Max W. K. Law, Ali Islam, Aashish Goela, Terry M. Peters, Shuo Li
2014	A*	`conf`	Submodularization for Binary Pairwise Energies. CVPR Lena Gorelick, Yuri Boykov, Olga Veksler, Ismail Ben Ayed, Andrew Delong
2014	—	`conf`	TRIC: Trust Region for Invariant Compactness and Its Application to Abdominal Aorta Segmentation. MICCAI (1) Ismail Ben Ayed, Michael Wang, Brandon Miles, Gregory J. Garvin
2013	J	`jnl`	An Experimental Comparison of Trust Region and Level Sets. CoRR Lena Gorelick, Ismail Ben Ayed, Frank R. Schmidt, Yuri Boykov
2013	A*	`conf`	Auxiliary Cuts for General Classes of Higher Order Functionals. CVPR Ismail Ben Ayed, Lena Gorelick, Yuri Boykov
2013	J	`jnl`	Left ventricle segmentation in MRI via convex relaxed distribution matching. Medical Image Anal. Cyrus M. S. Nambakhsh, Jing Yuan, Kumaradevan Punithakumar, Aashish Goela, Martin Rajchl, Terry M. Peters, Ismail Ben Ayed
2013	J	`jnl`	Regional heart motion abnormality detection: An information theoretic approach. Medical Image Anal. Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Aashish Goela, Ian G. Ross, Jaron Chong, Shuo Li
2013	—	`conf`	Right Ventricle Segmentation with Probability Product Kernel Constraints. MICCAI (1) Cyrus M. S. Nambakhsh, Terry M. Peters, Ali Islam, Ismail Ben Ayed
2013	J	`jnl`	Spine Image Fusion Via Graph Cuts. IEEE Trans. Biomed. Eng. Brandon Miles, Ismail Ben Ayed, Max W. K. Law, Gregory J. Garvin, Aaron Fenster, Shuo Li
2013	J	`jnl`	Submodularization for Quadratic Pseudo-Boolean Optimization. CoRR Lena Gorelick, Yuri Boykov, Olga Veksler, Ismail Ben Ayed, Andrew Delong
2012	J	`jnl`	A Convex Max-Flow Approach to Distribution-Based Figure-Ground Separation. SIAM J. Imaging Sci. Kumaradevan Punithakumar, Jing Yuan, Ismail Ben Ayed, Shuo Li, Yuri Boykov
2012	—	`conf`	A distribution-matching approach to MRI brain tumor segmentation. ISBI Ines Njeh, Ismail Ben Ayed, Ahmed Ben Hamida
2012	J	`jnl`	Active Curve Recovery of Region Boundary Patterns. IEEE Trans. Pattern Anal. Mach. Intell. Mohamed Ben Salah, Ismail Ben Ayed, Amar Mitiche
2012	B	`conf`	Convex relaxation for image segmentation by kernel mapping. ICIP Mohamed Ben Salah, Ismail Ben Ayed, Jing Yuan, Zhijie Wang, Hong Zhang
2012	—	`conf`	Estimation of the Cardiac Ejection Fraction from image statistics. ISBI Mariam Afshin, Ismail Ben Ayed, Ali Islam, Aashish Goela, Ian G. Ross, Terry M. Peters, Shuo Li
2012	—	`conf`	Global Assessment of Cardiac Function Using Image Statistics in MRI. MICCAI (2) Mariam Afshin, Ismail Ben Ayed, Ali Islam, Aashish Goela, Terry M. Peters, Shuo Li
2012	J	`jnl`	Max-flow segmentation of the left ventricle by recovering subject-specific distributions via a bound of the Bhattacharyya measure. Medical Image Anal. Ismail Ben Ayed, Hua-mei Chen, Kumaradevan Punithakumar, Ian G. Ross, Shuo Li
2012	—	`conf`	Pixel level image fusion for medical imaging: an energy minimizing approach. Computer-Aided Diagnosis Brandon Miles, Max W. K. Law, Ismail Ben Ayed, Gregory J. Garvin, Aaron Fenster, Shuo Li
2012	—	`conf`	Regional Heart Motion Abnormality Detection via Multiview Fusion. MICCAI (2) Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Aashish Goela, Shuo Li
2012	—	`conf`	Vertebral Body Segmentation in MRI via Convex Relaxation and Distribution Matching. MICCAI (1) Ismail Ben Ayed, Kumaradevan Punithakumar, Rashid Minhas, Rohit Joshi, Gregory J. Garvin
2011	—	`conf`	A Convex Max-Flow Segmentation of LV Using Subject-Specific Distributions on Cardiac MRI. IPMI Mohammad Saleh Nambakhsh, Jing Yuan, Ismail Ben Ayed, Kumaradevan Punithakumar, Aashish Goela, Ali Islam, Terry M. Peters, Shuo Li
2011	B	`conf`	A neural network learned information measures for heart motion abnormality detection. Image Processing Mohammad Saleh Nambakhsh, Kumaradevan Punithakumar, Ismail Ben Ayed, Aashish Goela, Ali Islam, Terry M. Peters, Shuo Li
2011	—	`conf`	Assessment of Regional Myocardial Function via Statistical Features in MR Images. MICCAI (3) Mariam Afshin, Ismail Ben Ayed, Kumaradevan Punithakumar, Max W. K. Law, Ali Islam, Aashish Goela, Ian G. Ross, Terry M. Peters, Shuo Li
2011	—	`conf`	Graph Cuts with Invariant Object-Interaction Priors: Application to Intervertebral Disc Segmentation. IPMI Ismail Ben Ayed, Kumaradevan Punithakumar, Gregory J. Garvin, Walter Romano, Shuo Li
2011	J	`jnl`	Multiregion Image Segmentation by Parametric Kernel Graph Cuts. IEEE Trans. Image Process. Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed
2011	B	`conf`	Variational level-set segmentation and tracking of left ventricle using field prior. Image Processing Mariam Afshin, Ismail Ben Ayed, Ali Islam, Ian G. Ross, Terry M. Peters, Shuo Li
2010	J	`jnl`	Detection of left ventricular motion abnormality via information measures and Bayesian filtering. IEEE Trans. Inf. Technol. Biomed. Kumaradevan Punithakumar, Ismail Ben Ayed, Ian G. Ross, Ali Islam, Jaron Chong, Shuo Li
2010	J	`jnl`	Effective Level Set Image Segmentation With a Kernel Induced Data Term. IEEE Trans. Image Process. Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed
2010	A*	`conf`	Finding image distributions on active curves. CVPR Ismail Ben Ayed, Amar Mitiche, Mohamed Ben Salah, Shuo Li
2010	A*	`conf`	Graph cut segmentation with a global constraint: Recovering region distribution via a bound of the Bhattacharyya measure. CVPR Ismail Ben Ayed, Hua-mei Chen, Kumaradevan Punithakumar, Ian G. Ross, Shuo Li
2010	B	`conf`	Image partitioning with kernel mapping and graph cuts. ICIP Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed
2010	—	`conf`	Regional Heart Motion Abnormality Detection via Information Measures and Unscented Kalman Filtering. MICCAI (1) Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Ian G. Ross, Shuo Li
2010	J	`jnl`	Tracking Endocardial Motion Via Multiple Model Filtering. IEEE Trans. Biomed. Eng. Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Ian G. Ross, Shuo Li
2009	J	`jnl`	A Statistical Overlap Prior for Variational Image Segmentation. Int. J. Comput. Vis. Ismail Ben Ayed, Shuo Li, Ian G. Ross
2009	J	`jnl`	Embedding Overlap Priors in Variational Left Ventricle Tracking. IEEE Trans. Medical Imaging Ismail Ben Ayed, Shuo Li, Ian G. Ross
2009	—	`conf`	Heart Motion Abnormality Detection via an Information Measure and Bayesian Filtering. MICCAI (1) Kumaradevan Punithakumar, Shuo Li, Ismail Ben Ayed, Ian G. Ross, Ali Islam, Jaron Chong
2009	B	`conf`	Image segmentation in a kernel-induced space. ICIP Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed
2009	—	`conf`	Left Ventricle Segmentation via Graph Cut Distribution Matching. MICCAI (1) Ismail Ben Ayed, Kumaradevan Punithakumar, Shuo Li, Ali Islam, Jaron Chong
2009	—	`conf`	Level Set Image Segmentation with a Statistical Overlap Constraint. IPMI Ismail Ben Ayed, Shuo Li, Ian G. Ross
2009	J	`jnl`	Myocardium tracking via matching distributions. Int. J. Comput. Assist. Radiol. Surg. Ismail Ben Ayed, Shuo Li, Ian G. Ross, Ali Islam
2009	—	`conf`	Tracking Endocardial Boundary and Motion via Graph Cut Distribution Matching and Multiple Model Filtering. ACCV (3) Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Ian G. Ross, Shuo Li
2008	—	`conf`	A Continuous Labeling for Multiphase Graph Cut Image Partitioning. ISVC (1) Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed
2008	J	`jnl`	A Region Merging Prior for Variational Level Set Image Segmentation. IEEE Trans. Image Process. Ismail Ben Ayed, Amar Mitiche
2008	B	`conf`	Area prior constrained level set evolution for medical image segmentation. Image Processing Ismail Ben Ayed, Shuo Li, Ali Islam, Gregory J. Garvin, Rethy Chhem
2008	—	`conf`	Left Ventricle Tracking Using Overlap Priors. MICCAI (1) Ismail Ben Ayed, Yingli Lu, Shuo Li, Ian G. Ross
2008	—	`conf`	Merging Active Contours. ISVC (2) Ismail Ben Ayed, Amar Mitiche
2008	—	`conf`	Multiregion Graph Cut Image Segmentation. VISAPP (1) Mohamed Ben Salah, Ismail Ben Ayed, Amar Mitiche
2008	A*	`conf`	Tracking distributions with an overlap prior. CVPR Ismail Ben Ayed, Shuo Li, Ian G. Ross
2007	—	`conf`	Embedding a Region Merging Prior in Level Set Vector-Valued Image Segmentation. ACCV (1) Ismail Ben Ayed, Amar Mitiche
2006	B	`conf`	A Partition Constrained Minimization Scheme for Efficient Multiphase Level Set Image Segmentation. ICIP Ismail Ben Ayed, Amar Mitiche
2006	J	`jnl`	Polarimetric Image Segmentation via Maximum-Likelihood Approximation and Efficient Multiphase Level-Sets. IEEE Trans. Pattern Anal. Mach. Intell. Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj
2006	J	`jnl`	Unsupervised Variational Image Segmentation/Classification Using a Weibull Observation Model. IEEE Trans. Image Process. Ismail Ben Ayed, N. Hennane, Amar Mitiche
2006	B	`conf`	Variational Unsupervised Segmentation of Multi-Look Complex Polarimetric Images using a Wishart Observation Model. ICIP Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj
2005	—	`conf`	Level set curve evolution partitioning of polarimetric images. ICIP (1) Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj
2005	J	`jnl`	Multiregion Level-Set Partitioning of Synthetic Aperture Radar Images. IEEE Trans. Pattern Anal. Mach. Intell. Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj
2004	B	`conf`	Image segmentation as regularized clustering: a fully global curve evolution method. ICIP Carlos Vázquez, Amar Mitiche, Ismail Ben Ayed
2004	B	`conf`	Sar image segmentation with active contours and level sets. ICIP Ismail Ben Ayed, Carlos Vázquez, Amar Mitiche, Ziad Belhadj