Sar image segmentation with active contours and level sets. - Ismail Ben Ayed; Carlos Vázquez 001; Amar Mitiche; Ziad Belhadj (ICIP, 2004)

Image segmentation as regularized clustering: a fully global curve evolution method. - Carlos Vázquez 001; Amar Mitiche; Ismail Ben Ayed (ICIP, 2004)

Level set curve evolution partitioning of polarimetric images. - Ismail Ben Ayed; Amar Mitiche; Ziad Belhadj (ICIP (1), 2005)

Multiregion Level-Set Partitioning of Synthetic Aperture Radar Images. - Ismail Ben Ayed; Amar Mitiche; Ziad Belhadj (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

A Partition Constrained Minimization Scheme for Efficient Multiphase Level Set Image Segmentation. - Ismail Ben Ayed; Amar Mitiche (ICIP, 2006)

Variational Unsupervised Segmentation of Multi-Look Complex Polarimetric Images using a Wishart Observation Model. - Ismail Ben Ayed; Amar Mitiche; Ziad Belhadj (ICIP, 2006)

Polarimetric Image Segmentation via Maximum-Likelihood Approximation and Efficient Multiphase Level-Sets. - Ismail Ben Ayed; Amar Mitiche; Ziad Belhadj (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Unsupervised Variational Image Segmentation/Classification Using a Weibull Observation Model. - Ismail Ben Ayed; N. Hennane; Amar Mitiche (IEEE Trans. Image Process., 2006)

Embedding a Region Merging Prior in Level Set Vector-Valued Image Segmentation. - Ismail Ben Ayed; Amar Mitiche (ACCV (1), 2007)

Tracking distributions with an overlap prior. - Ismail Ben Ayed; Shuo Li 001; Ian G. Ross (CVPR, 2008)

Merging Active Contours. - Ismail Ben Ayed; Amar Mitiche (ISVC (2), 2008)

A Continuous Labeling for Multiphase Graph Cut Image Partitioning. - Mohamed Ben Salah; Amar Mitiche; Ismail Ben Ayed (ISVC (1), 2008)

Left Ventricle Tracking Using Overlap Priors. - Ismail Ben Ayed; Yingli Lu; Shuo Li 001; Ian G. Ross (MICCAI (1), 2008)

Area prior constrained level set evolution for medical image segmentation. - Ismail Ben Ayed; Shuo Li 001; Ali Islam; Gregory J. Garvin; Rethy Chhem (Image Processing, 2008)

Multiregion Graph Cut Image Segmentation. - Mohamed Ben Salah; Ismail Ben Ayed; Amar Mitiche (VISAPP (1), 2008)

A Region Merging Prior for Variational Level Set Image Segmentation. - Ismail Ben Ayed; Amar Mitiche (IEEE Trans. Image Process., 2008)

Tracking Endocardial Boundary and Motion via Graph Cut Distribution Matching and Multiple Model Filtering. - Kumaradevan Punithakumar; Ismail Ben Ayed; Ali Islam; Ian G. Ross; Shuo Li 001 (ACCV (3), 2009)

Image segmentation in a kernel-induced space. - Mohamed Ben Salah; Amar Mitiche; Ismail Ben Ayed (ICIP, 2009)

Level Set Image Segmentation with a Statistical Overlap Constraint. - Ismail Ben Ayed; Shuo Li 001; Ian G. Ross (IPMI, 2009)

Left Ventricle Segmentation via Graph Cut Distribution Matching. - Ismail Ben Ayed; Kumaradevan Punithakumar; Shuo Li 001; Ali Islam; Jaron Chong (MICCAI (1), 2009)

Heart Motion Abnormality Detection via an Information Measure and Bayesian Filtering. - Kumaradevan Punithakumar; Shuo Li 001; Ismail Ben Ayed; Ian G. Ross; Ali Islam; Jaron Chong (MICCAI (1), 2009)

Myocardium tracking via matching distributions. - Ismail Ben Ayed; Shuo Li 001; Ian G. Ross; Ali Islam (Int. J. Comput. Assist. Radiol. Surg., 2009)

A Statistical Overlap Prior for Variational Image Segmentation. - Ismail Ben Ayed; Shuo Li 001; Ian G. Ross (Int. J. Comput. Vis., 2009)

Embedding Overlap Priors in Variational Left Ventricle Tracking. - Ismail Ben Ayed; Shuo Li 001; Ian G. Ross (IEEE Trans. Medical Imaging, 2009)

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 001 (CVPR, 2010)

Finding image distributions on active curves. - Ismail Ben Ayed; Amar Mitiche; Mohamed Ben Salah; Shuo Li 001 (CVPR, 2010)

Image partitioning with kernel mapping and graph cuts. - Mohamed Ben Salah; Amar Mitiche; Ismail Ben Ayed (ICIP, 2010)

Regional Heart Motion Abnormality Detection via Information Measures and Unscented Kalman Filtering. - Kumaradevan Punithakumar; Ismail Ben Ayed; Ali Islam; Ian G. Ross; Shuo Li 001 (MICCAI (1), 2010)

Tracking Endocardial Motion Via Multiple Model Filtering. - Kumaradevan Punithakumar; Ismail Ben Ayed; Ali Islam; Ian G. Ross; Shuo Li 001 (IEEE Trans. Biomed. Eng., 2010)

Effective Level Set Image Segmentation With a Kernel Induced Data Term. - Mohamed Ben Salah; Amar Mitiche; Ismail Ben Ayed (IEEE Trans. Image Process., 2010)

Detection of left ventricular motion abnormality via information measures and Bayesian filtering. - Kumaradevan Punithakumar; Ismail Ben Ayed; Ian G. Ross; Ali Islam; Jaron Chong; Shuo Li 001 (IEEE Trans. Inf. Technol. Biomed., 2010)

Graph Cuts with Invariant Object-Interaction Priors: Application to Intervertebral Disc Segmentation. - Ismail Ben Ayed; Kumaradevan Punithakumar; Gregory J. Garvin; Walter Romano; Shuo Li 001 (IPMI, 2011)

A Convex Max-Flow Segmentation of LV Using Subject-Specific Distributions on Cardiac MRI. - Mohammad Saleh Nambakhsh; Jing Yuan 001; Ismail Ben Ayed; Kumaradevan Punithakumar; Aashish Goela; Ali Islam; Terry M. Peters; Shuo Li 001 (IPMI, 2011)

Assessment of Regional Myocardial Function via Statistical Features in MR Images. - Mariam Afshin; Ismail Ben Ayed; Kumaradevan Punithakumar; Max W. K. Law; Ali Islam; Aashish Goela; Ian G. Ross; Terry M. Peters; Shuo Li 001 (MICCAI (3), 2011)

Variational level-set segmentation and tracking of left ventricle using field prior. - Mariam Afshin; Ismail Ben Ayed; Ali Islam; Ian G. Ross; Terry M. Peters; Shuo Li 001 (Image Processing, 2011)

A neural network learned information measures for heart motion abnormality detection. - Mohammad Saleh Nambakhsh; Kumaradevan Punithakumar; Ismail Ben Ayed; Aashish Goela; Ali Islam; Terry M. Peters; Shuo Li 001 (Image Processing, 2011)

Multiregion Image Segmentation by Parametric Kernel Graph Cuts. - Mohamed Ben Salah; Amar Mitiche; Ismail Ben Ayed (IEEE Trans. Image Process., 2011)

Convex relaxation for image segmentation by kernel mapping. - Mohamed Ben Salah; Ismail Ben Ayed; Jing Yuan 001; Zhijie Wang 003; Hong Zhang 013 (ICIP, 2012)

Estimation of the Cardiac Ejection Fraction from image statistics. - Mariam Afshin; Ismail Ben Ayed; Ali Islam; Aashish Goela; Ian G. Ross; Terry M. Peters; Shuo Li 001 (ISBI, 2012)

A distribution-matching approach to MRI brain tumor segmentation. - Ines Njeh; Ismail Ben Ayed; Ahmed Ben Hamida (ISBI, 2012)

Pixel level image fusion for medical imaging: an energy minimizing approach. - Brandon Miles; Max W. K. Law; Ismail Ben Ayed; Gregory J. Garvin; Aaron Fenster; Shuo Li 001 (Computer-Aided Diagnosis, 2012)

Global Assessment of Cardiac Function Using Image Statistics in MRI. - Mariam Afshin; Ismail Ben Ayed; Ali Islam; Aashish Goela; Terry M. Peters; Shuo Li 001 (MICCAI (2), 2012)

Vertebral Body Segmentation in MRI via Convex Relaxation and Distribution Matching. - Ismail Ben Ayed; Kumaradevan Punithakumar; Rashid Minhas; Rohit Joshi; Gregory J. Garvin (MICCAI (1), 2012)

Regional Heart Motion Abnormality Detection via Multiview Fusion. - Kumaradevan Punithakumar; Ismail Ben Ayed; Ali Islam; Aashish Goela; Shuo Li 001 (MICCAI (2), 2012)

Max-flow segmentation of the left ventricle by recovering subject-specific distributions via a bound of the Bhattacharyya measure. - Ismail Ben Ayed; Hua-mei Chen; Kumaradevan Punithakumar; Ian G. Ross; Shuo Li 001 (Medical Image Anal., 2012)

Active Curve Recovery of Region Boundary Patterns. - Mohamed Ben Salah; Ismail Ben Ayed; Amar Mitiche (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

A Convex Max-Flow Approach to Distribution-Based Figure-Ground Separation. - Kumaradevan Punithakumar; Jing Yuan 001; Ismail Ben Ayed; Shuo Li 001; Yuri Boykov (SIAM J. Imaging Sci., 2012)

Auxiliary Cuts for General Classes of Higher Order Functionals. - Ismail Ben Ayed; Lena Gorelick; Yuri Boykov (CVPR, 2013)

Right Ventricle Segmentation with Probability Product Kernel Constraints. - Cyrus M. S. Nambakhsh; Terry M. Peters; Ali Islam; Ismail Ben Ayed (MICCAI (1), 2013)

An Experimental Comparison of Trust Region and Level Sets. - Lena Gorelick; Ismail Ben Ayed; Frank R. Schmidt; Yuri Boykov (CoRR, 2013)

Submodularization for Quadratic Pseudo-Boolean Optimization. - Lena Gorelick; Yuri Boykov; Olga Veksler; Ismail Ben Ayed; Andrew Delong (CoRR, 2013)

Left ventricle segmentation in MRI via convex relaxed distribution matching. - Cyrus M. S. Nambakhsh; Jing Yuan 001; Kumaradevan Punithakumar; Aashish Goela; Martin Rajchl; Terry M. Peters; Ismail Ben Ayed (Medical Image Anal., 2013)

Regional heart motion abnormality detection: An information theoretic approach. - Kumaradevan Punithakumar; Ismail Ben Ayed; Ali Islam; Aashish Goela; Ian G. Ross; Jaron Chong; Shuo Li 001 (Medical Image Anal., 2013)

Spine Image Fusion Via Graph Cuts. - Brandon Miles; Ismail Ben Ayed; Max W. K. Law; Gregory J. Garvin; Aaron Fenster; Shuo Li 001 (IEEE Trans. Biomed. Eng., 2013)

Detecting left ventricular impaired relaxation using MR imaging. - Kumaradevan Punithakumar; Michelle Noga; Pierre Boulanger; Ismail Ben Ayed; Mariam Afshin; Aashish Goela; Ali Islam; Shuo Li 001 (BHI, 2014)

Submodularization for Binary Pairwise Energies. - Lena Gorelick; Yuri Boykov; Olga Veksler; Ismail Ben Ayed; Andrew Delong (CVPR, 2014)

Pseudo-bound Optimization for Binary Energies. - Meng Tang 001; Ismail Ben Ayed; Yuri Boykov (ECCV (5), 2014)

Direct Estimation of Dense Scene Flow and Depth from a Monocular Sequence. - Yosra Mathlouthi; Amar Mitiche; Ismail Ben Ayed (ISVC (1), 2014)

TRIC: Trust Region for Invariant Compactness and Its Application to Abdominal Aorta Segmentation. - Ismail Ben Ayed; Michael Wang; Brandon Miles; Gregory J. Garvin (MICCAI (1), 2014)

Convex-Relaxed Kernel Mapping for Image Segmentation. - Mohamed Ben Salah; Ismail Ben Ayed; Jing Yuan 001; Hong Zhang 013 (IEEE Trans. Image Process., 2014)

Regional Assessment of Cardiac Left Ventricular Myocardial Function via MRI Statistical Features. - Mariam Afshin; Ismail Ben Ayed; Kumaradevan Punithakumar; Max W. K. Law; Ali Islam; Aashish Goela; Terry M. Peters; Shuo Li 001 (IEEE Trans. Medical Imaging, 2014)

Volumetric Bias in Segmentation and Reconstruction: Secrets and Solutions. - Yuri Boykov; Hossam N. Isack; Carl Olsson; Ismail Ben Ayed (ICCV, 2015)

Secrets of GrabCut and Kernel K-Means. - Meng Tang 001; Ismail Ben Ayed; Dmitrii Marin; Yuri Boykov (ICCV, 2015)

3D multimodal MRI brain glioma tumor and edema segmentation: A graph cut distribution matching approach. - Ines Njeh; Lamia Sallemi; Ismail Ben Ayed; Khalil Chtourou; Stéphane Lehéricy; Damien Galanaud; Ahmed Ben Hamida (Comput. Medical Imaging Graph., 2015)

Right ventricular segmentation in cardiac MRI with moving mesh correspondences. - Kumaradevan Punithakumar; Michelle Noga; Ismail Ben Ayed; Pierre Boulanger (Comput. Medical Imaging Graph., 2015)

Monocular Concurrent Recovery of Structure and Motion Scene Flow. - Amar Mitiche; Yosra Mathlouthi; Ismail Ben Ayed (Frontiers ICT, 2015)

Right ventricle segmentation from cardiac MRI: A collation study. - 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; et al. (Medical Image Anal., 2015)

Distribution Matching with the Bhattacharyya Similarity: A Bound Optimization Framework. - Ismail Ben Ayed; Kumaradevan Punithakumar; Shuo Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Shape Distances for Binary Image Segmentation. - Frank R. Schmidt; Lena Gorelick; Ismail Ben Ayed; Yuri Boykov; Thomas Brox (Perspectives in Shape Analysis, 2016)

Boundary Preserving Variational Image Differentiation. - Yosra Mathlouthi; Amar Mitiche; Ismail Ben Ayed (GCPR, 2016)

Normalized Cut Meets MRF. - Meng Tang 001; Dmitrii Marin; Ismail Ben Ayed; Yuri Boykov (ECCV (2), 2016)

Spine labeling in axial magnetic resonance imaging via integral kernels. - Brandon Miles; Ismail Ben Ayed; Seyed-Parsa Hojjat; Michael Wang; Shuo Li 001; Aaron Fenster; Gregory J. Garvin (Comput. Medical Imaging Graph., 2016)

Detecting left ventricular impaired relaxation in cardiac MRI using moving mesh correspondences. - Kumaradevan Punithakumar; Ismail Ben Ayed; Mariam Afshin; Aashish Goela; Ali Islam; Shuo Li 001; Pierre Boulanger; Harald Becher; Michelle Noga (Comput. Methods Programs Biomed., 2016)

Monocular, Boundary-Preserving Joint Recovery of Scene Flow and Depth. - Yosra Mathlouthi; Amar Mitiche; Ismail Ben Ayed (Frontiers ICT, 2016)

DOPE: Distributed Optimization for Pairwise Energies. - Jose Dolz; Ismail Ben Ayed; Christian Desrosiers (CVPR, 2017)

Unbiased Shape Compactness for Segmentation. - Jose Dolz; Ismail Ben Ayed; Christian Desrosiers (MICCAI (1), 2017)

Spine labeling in MRI via regularized distribution matching. - Seyed-Parsa Hojjat; Ismail Ben Ayed; Gregory J. Garvin; Kumaradevan Punithakumar (Int. J. Comput. Assist. Radiol. Surg., 2017)

A 3D fully convolutional neural network and a random walker to segment the esophagus in CT. - Tobias Fechter; Sonja Adebahr; Dimos Baltas; Ismail Ben Ayed; Christian Desrosiers; Jose Dolz (CoRR, 2017)

HyperDense-Net: A hyper-densely connected CNN for multi-modal image semantic segmentation. - Jose Dolz; Ismail Ben Ayed; Jing Yuan 001; Christian Desrosiers (CoRR, 2017)

An ILP Solver for Multi-label MRFS with Connectivity Constraints. - Ruobing Shen; Eric Kendinibilir; Ismail Ben Ayed; Andrea Lodi 001; Andrea Tramontani; Gerhard Reinelt (CoRR, 2017)

Regularised differentiation for image derivatives. - Yosra Mathlouthi; Amar Mitiche; Ismail Ben Ayed (IET Image Process., 2017)

Local Submodularization for Binary Pairwise Energies. - Lena Gorelick; Yuri Boykov; Olga Veksler; Ismail Ben Ayed; Andrew Delong (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

On Regularized Losses for Weakly-supervised CNN Segmentation. - Meng Tang 001; Federico Perazzi; Abdelaziz Djelouah; Ismail Ben Ayed; Christopher Schroers; Yuri Boykov (ECCV (16), 2018)

Isointense infant brain segmentation with a hyper-dense connected convolutional neural network. - Jose Dolz; Ismail Ben Ayed; Jing Yuan 001; Christian Desrosiers (ISBI, 2018)

Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities. - Jose Dolz; Ismail Ben Ayed; Christian Desrosiers (BrainLes@MICCAI (1), 2018)

IVD-Net: Intervertebral Disc Localization and Segmentation in MRI with a Multi-modal UNet. - Jose Dolz; Christian Desrosiers; Ismail Ben Ayed (CSI@MICCAI, 2018)

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

Constrained-CNN losses forweakly supervised segmentation. - Hoel Kervadec; Jose Dolz; Meng Tang 001; Eric Granger; Yuri Boykov; Ismail Ben Ayed (CoRR, 2018)

Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks. - Jose Dolz; Xiaopan Xu; Jérôme Rony; Jing Yuan 001; Yang Liu 093; Eric Granger; Christian Desrosiers; Xi Zhang 017; Ismail Ben Ayed; Hongbing Lu (CoRR, 2018)

ADM for grid CRF loss in CNN segmentation. - Dmitrii Marin; Meng Tang 001; Ismail Ben Ayed; Yuri Boykov (CoRR, 2018)

Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images. - Aaron Carass; Jennifer L. Cuzzocreo; Shuo Han 001; Carlos R. Hernandez-Castillo; Paul E. Rasser; Melanie Ganz; Vincent Beliveau; Jose Dolz; Ismail Ben Ayed; Christian Desrosiers; Benjamin Thyreau; José E. Romero; et al. (NeuroImage, 2018)

3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study. - Jose Dolz; Christian Desrosiers; Ismail Ben Ayed (NeuroImage, 2018)

Beyond Gradient Descent for Regularized Segmentation Losses. - Dmitrii Marin; Meng Tang 001; Ismail Ben Ayed; Yuri Boykov (CVPR, 2019)

Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses. - Jérôme Rony; Luiz G. Hafemann; Luiz S. Oliveira; Ismail Ben Ayed; Robert Sabourin; Eric Granger (CVPR, 2019)

Constrained Domain Adaptation for Segmentation. - Mathilde Bateson; Hoel Kervadec; Jose Dolz; Hervé Lombaert; Ismail Ben Ayed (MICCAI (2), 2019)

Curriculum Semi-supervised Segmentation. - Hoel Kervadec; Jose Dolz; Éric Granger; Ismail Ben Ayed (MICCAI (2), 2019)

Log-barrier constrained CNNs. - Hoel Kervadec; Jose Dolz; Jing Yuan 001; Christian Desrosiers; Eric Granger; Ismail Ben Ayed (CoRR, 2019)

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

A Survey of Pruning Methods for Efficient Person Re-identification Across Domains. - Hugo Masson; Amran Bhuiyan; Le Thanh Nguyen-Meidine; Mehrsan Javan; Parthipan Siva; Ismail Ben Ayed; Eric Granger (CoRR, 2019)

Weakly Supervised Object Localization using Min-Max Entropy: an Interpretable Framework. - Soufiane Belharbi; Jérôme Rony; Jose Dolz; Ismail Ben Ayed; Luke McCaffrey; Eric Granger (CoRR, 2019)

Universal Adversarial Audio Perturbations. - Sajjad Abdoli; Luiz G. Hafemann; Jérôme Rony; Ismail Ben Ayed; Patrick Cardinal; Alessandro L. Koerich (CoRR, 2019)

Deep weakly-supervised learning methods for classification and localization in histology images: a survey. - Jérôme Rony; Soufiane Belharbi; Jose Dolz; Ismail Ben Ayed; Luke McCaffrey; Eric Granger (CoRR, 2019)

Adversarial Learning of General Transformations for Data Augmentation. - Saypraseuth Mounsaveng; David Vázquez 001; Ismail Ben Ayed; Marco Pedersoli (CoRR, 2019)

Deep Ordinal Classification with Inequality Constraints. - Soufiane Belharbi; Ismail Ben Ayed; Luke McCaffrey; Eric Granger (CoRR, 2019)

Kernel Cuts: Kernel and Spectral Clustering Meet Regularization. - Meng Tang 001; Dmitrii Marin; Ismail Ben Ayed; Yuri Boykov (Int. J. Comput. Vis., 2019)

Constrained-CNN losses for weakly supervised segmentation. - Hoel Kervadec; Jose Dolz; Meng Tang 001; Eric Granger; Yuri Boykov; Ismail Ben Ayed (Medical Image Anal., 2019)

Kernel Clustering: Density Biases and Solutions. - Dmitrii Marin; Meng Tang 001; Ismail Ben Ayed; Yuri Boykov (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation. - Jose Dolz; Karthik Gopinath; Jing Yuan 001; Herve Lombaert; Christian Desrosiers; Ismail Ben Ayed (IEEE Trans. Medical Imaging, 2019)

Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. - Li Wang 026; Dong Nie; Guannan Li; Élodie Puybareau; Jose Dolz; Qian Zhang 066; Fan Wang 023; Jing Xia; Zhengwang Wu; Jiawei Chen 001; Kim-Han Thung; Toan Duc Bui; et al. (IEEE Trans. Medical Imaging, 2019)

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

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

Source-Relaxed Domain Adaptation for Image Segmentation. - Mathilde Bateson; Hoel Kervadec; Jose Dolz; Hervé Lombaert; Ismail Ben Ayed (MICCAI (1), 2020)

Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images. - Adrian Galdran; Jose Dolz; Hadi Chakor; Hervé Lombaert; Ismail Ben Ayed (MICCAI (5), 2020)

Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision. - Hoel Kervadec; Jose Dolz; Shanshan Wang 002; Eric Granger; Ismail Ben Ayed (MIDL, 2020)

On Direct Distribution Matching for Adapting Segmentation Networks. - Georg Pichler; Jose Dolz; Ismail Ben Ayed; Pablo Piantanida (MIDL, 2020)

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

Pose Guided Gated Fusion for Person Re-identification. - Amran Bhuiyan; Yang Liu 093; Parthipan Siva; Mehrsan Javan; Ismail Ben Ayed; Eric Granger (WACV, 2020)

Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation. - Jose Dolz; Christian Desrosiers; Li Wang 026; Jing Yuan 001; Dinggang Shen; Ismail Ben Ayed (Comput. Medical Imaging Graph., 2020)

Semi-supervised few-shot learning for medical image segmentation. - Abdur R. Fayjie; Reza Azad; Marco Pedersoli; Claude Kauffmann; Ismail Ben Ayed; Jose Dolz (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)

Medical Imaging with Deep Learning: MIDL 2020 - Short Paper Track. - Tal Arbel; Ismail Ben Ayed; Marleen de Bruijne; Maxime Descoteaux; Herve Lombaert; Chris Pal (CoRR, 2020)

Flow-Guided Attention Networks for Video-Based Person Re-Identification. - Madhu Kiran; Amran Bhuiyan; Louis-Antoine Blais-Morin; Mehrsan Javan; Ismail Ben Ayed; Eric Granger (CoRR, 2020)

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

The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models. - Adrian Galdran; André Anjos; José Dolz; Hadi Chakor; Hervé Lombaert; Ismail Ben Ayed (CoRR, 2020)

AIDE: Annotation-efficient deep learning for automatic medical image segmentation. - Cheng Li 008; Rongpin Wang; Zaiyi Liu; Meiyun Wang; Hongna Tan; Yaping Wu; Xinfeng Liu; Hui Sun; Rui Yang; Xin Liu 053; Ismail Ben Ayed; Hairong Zheng; et al. (CoRR, 2020)

Discretely-constrained deep network for weakly supervised segmentation. - Jizong Peng; Hoel Kervadec; Jose Dolz; Ismail Ben Ayed; Marco Pedersoli; Christian Desrosiers (Neural Networks, 2020)

An ILP Model for Multi-Label MRFs With Connectivity Constraints. - Ruobing Shen; Bo Tang 017; Andrea Lodi 001; Andrea Tramontani; Ismail Ben Ayed (IEEE Trans. Image Process., 2020)

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

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

Augmented Lagrangian Adversarial Attacks. - Jérôme Rony; Eric Granger; Marco Pedersoli; Ismail Ben Ayed (ICCV, 2021)

Teach Me to Segment with Mixed Supervision: Confident Students Become Masters. - Jose Dolz; Christian Desrosiers; Ismail Ben Ayed (IPMI, 2021)

Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good! - Hoel Kervadec; Houda Bahig; Laurent Létourneau-Guillon; Jose Dolz; Ismail Ben Ayed (MIDL, 2021)

Realistic evaluation of transductive few-shot learning. - Olivier Veilleux; Malik Boudiaf; Pablo Piantanida; Ismail Ben Ayed (NeurIPS, 2021)

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

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

Learning Data Augmentation with Online Bilevel Optimization for Image Classification. - Saypraseuth Mounsaveng; Issam H. Laradji; Ismail Ben Ayed; David Vázquez 001; Marco Pedersoli (WACV, 2021)

The hidden label-marginal biases of segmentation losses. - Bingyuan Liu; Jose Dolz; Adrian Galdran; Riadh Kobbi; Ismail Ben Ayed (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)

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

A Preconditioned Alternating Minimization Framework for Nonconvex and Half Quadratic Optimization. - Shengxiang Deng; Ismail Ben Ayed; Hongpeng Sun (CoRR, 2021)

F-CAM: Full Resolution CAM via Guided Parametric Upscaling. - Soufiane Belharbi; Aydin Sarraf; Marco Pedersoli; Ismail Ben Ayed; Luke McCaffrey; Eric Granger (CoRR, 2021)

Mixed-supervised segmentation: Confidence maximization helps knowledge distillation. - Bingyuan Liu; Christian Desrosiers; Ismail Ben Ayed; Jose Dolz (CoRR, 2021)

Exploiting prunability for person re-identification. - Hugo Masson; Amran Bhuiyan; Le Thanh Nguyen-Meidine; Mehrsan Javan; Parthipan Siva; Ismail Ben Ayed; Eric Granger (EURASIP J. Image Video Process., 2021)

Flow guided mutual attention for person re-identification. - Madhu Kiran; Amran Bhuiyan; Le Thanh Nguyen-Meidine; Louis-Antoine Blais-Morin; Ismail Ben Ayed; Eric Granger (Image Vis. Comput., 2021)

Boundary loss for highly unbalanced segmentation. - Hoel Kervadec; Jihene Bouchtiba; Christian Desrosiers; Eric Granger; Jose Dolz; Ismail Ben Ayed (Medical Image Anal., 2021)

Deep Clustering: On the Link Between Discriminative Models and K-Means. - Mohammed Jabi; Marco Pedersoli; Amar Mitiche; Ismail Ben Ayed (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Constrained Domain Adaptation for Image Segmentation. - Mathilde Bateson; José Dolz; Hoel Kervadec; Hervé Lombaert; Ismail Ben Ayed (IEEE Trans. Medical Imaging, 2021)

Parameter-free Online Test-time Adaptation. - Malik Boudiaf; Romain Müller; 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 (CVPR, 2022)

Constrained deep networks: Lagrangian optimization via Log-barrier extensions. - Hoel Kervadec; Jose Dolz; Jing Yuan 001; Christian Desrosiers; Eric Granger; Ismail Ben Ayed (EUSIPCO, 2022)

Test-Time Adaptation with Shape Moments for Image Segmentation. - Mathilde Bateson; Herve Lombaert; Ismail Ben Ayed (MICCAI (4), 2022)

Negative Evidence Matters in Interpretable Histology Image Classification. - Soufiane Belharbi; Marco Pedersoli; Ismail Ben Ayed; Luke McCaffrey; Eric Granger (MIDL, 2022)

Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference. - Ségolène Martin; Malik Boudiaf; Emilie Chouzenoux; Jean-Christophe Pesquet; Ismail Ben Ayed (NeurIPS, 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 (WACV, 2022)

Leveraging Uncertainty for Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images. - Soufiane Belharbi; Jérôme Rony; Jose Dolz; Ismail Ben Ayed; Luke McCaffrey; Eric Granger (CoRR, 2022)

FHIST: A Benchmark for Few-shot Classification of Histological Images. - Fereshteh Shakeri; Malik Boudiaf; Sina Mohammadi; Ivaxi Sheth; Mohammad Havaei; Ismail Ben Ayed; Samira Ebrahimi Kahou (CoRR, 2022)

Proximal Splitting Adversarial Attacks for Semantic Segmentation. - Jérôme Rony; Jean-Christophe Pesquet; Ismail Ben Ayed (CoRR, 2022)

Model-Agnostic Few-Shot Open-Set Recognition. - Malik Boudiaf; Etienne Bennequin; Myriam Tami; Céline Hudelot; Antoine Toubhans; Pablo Piantanida; Ismail Ben Ayed (CoRR, 2022)

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

Connectivity-constrained Interactive Panoptic Segmentation. - Ruobing Shen; Bo Tang 017; Andrea Lodi 001; Ismail Ben Ayed; Thomas Guthier (CoRR, 2022)

Source-free domain adaptation for image segmentation. - Mathilde Bateson; Hoel Kervadec; Jose Dolz; Hervé Lombaert; Ismail Ben Ayed (Medical Image Anal., 2022)

Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty. - Soufiane Belharbi; Jérôme Rony; Jose Dolz; Ismail Ben Ayed; Luke McCaffrey; Eric Granger (IEEE Trans. Medical Imaging, 2022)

Adversarial Library. - Jérôme Rony; Ismail Ben Ayed (Zenodo, 2022)

Adversarial Library. - Jérôme Rony; Ismail Ben Ayed (Zenodo, 2022)

Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy. - Julio Silva-Rodríguez; Jihed Chelbi; Waziha Kabir; Hadi Chakor; Jose Dolz; Ismail Ben Ayed; Riadh Kobbi (CGI (3), 2023)

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

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

Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. - Pierre Colombo; Victor Pellegrain; Malik Boudiaf; Myriam Tami; Victor Storchan; Ismail Ben Ayed; Pablo Piantanida (EMNLP, 2023)

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

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

Trust Your Neighbours: Penalty-Based Constraints for Model Calibration. - Balamurali Murugesan; Sukesh Adiga V; Bingyuan Liu; Herve Lombaert; Ismail Ben Ayed; Jose Dolz (MICCAI (3), 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 Adolfo Vargas Hakim; Mehrdad Noori; Milad Cheraghalikhani; Ismail Ben Ayed; Christian Desrosiers (WACV, 2023)

Transductive few-shot adapters for medical image segmentation. - Julio Silva-Rodríguez; Jose Dolz; Ismail Ben Ayed (CoRR, 2023)

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

Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images. - Saypraseuth Mounsaveng; Issam H. Laradji; David Vázquez 001; Marco Pedersoli; Ismail Ben Ayed (CoRR, 2023)

Aggregated f-average Neural Network for Interpretable Ensembling. - Mathieu Vu; Emilie Chouzenoux; Jean-Christophe Pesquet; Ismail Ben Ayed (CoRR, 2023)

ClusT3: Information Invariant Test-Time Training. - Gustavo Adolfo Vargas Hakim; David Osowiechi; Mehrdad Noori; Milad Cheraghalikhani; Ismail Ben Ayed; Christian Desrosiers (CoRR, 2023)

Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. - Pierre Colombo; Victor Pellegrain; Malik Boudiaf; Victor Storchan; Myriam Tami; Ismail Ben Ayed; Céline Hudelot; Pablo Piantanida (CoRR, 2023)

Segmentation with mixed supervision: Confidence maximization helps knowledge distillation. - Bingyuan Liu; Christian Desrosiers; Ismail Ben Ayed; Jose Dolz (Medical Image Anal., 2023)

Calibrating segmentation networks with margin-based label smoothing. - Balamurali Murugesan; Bingyuan Liu; Adrian Galdran; Ismail Ben Ayed; Jose Dolz (Medical Image Anal., 2023)

Adversarial Robustness Via Fisher-Rao Regularization. - Marine Picot; Francisco Messina; Malik Boudiaf; Fabrice Labeau; Ismail Ben Ayed; Pablo Piantanida (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Adversarial Library. - Jérôme Rony; Ismail Ben Ayed (Zenodo, 2023)

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

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

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

Low-Rank Few-Shot Adaptation of Vision-Language Models. - Maxime Zanella; Ismail Ben Ayed (CVPR Workshops, 2024)

On the Test-Time Zero-Shot Generalization of Vision-Language Models: Do we Really need Prompt Learning? - Maxime Zanella; Ismail Ben Ayed (CVPR, 2024)

Robust Calibration of Large Vision-Language Adapters. - Balamurali Murugesan; Julio Silva-Rodríguez; Ismail Ben Ayed; Jose Dolz (ECCV (24), 2024)

A Transductive Few-Shot Learning Approach for Classification of Digital Histopathological Slides from Liver Cancer. - Aymen Sadraoui; Ségolène Martin; Eliott Barbot; Astrid Laurent-Bellue; Jean-Christophe Pesquet; Catherine Guettier; Ismail Ben Ayed (ISBI, 2024)

Class and Region-Adaptive Constraints for Network Calibration. - Balamurali Murugesan; Julio Silva-Rodríguez; Ismail Ben Ayed; Jose Dolz (MICCAI (8), 2024)

Few-Shot Adaptation of Medical Vision-Language Models. - Fereshteh Shakeri; Yunshi Huang; Julio Silva-Rodríguez; Houda Bahig; An Tang; Jose Dolz; Ismail Ben Ayed (MICCAI (12), 2024)

Boosting Vision-Language Models for Histopathology Classification: Predict All at Once. - Maxime Zanella; Fereshteh Shakeri; Yunshi Huang; Houda Bahig; Ismail Ben Ayed (MedAGI@MICCAI, 2024)

When is an Embedding Model More Promising than Another? - Maxime Darrin; Philippe Formont; Ismail Ben Ayed; Jackie CK Cheung; Pablo Piantanida (NeurIPS, 2024)

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

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

Bag of Tricks for Fully Test-Time Adaptation. - Saypraseuth Mounsaveng; Florent Chiaroni; Malik Boudiaf; Marco Pedersoli; 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 (WACV, 2024)

Do not trust what you trust: Miscalibration in Semi-supervised Learning. - Shambhavi Mishra; Balamurali Murugesan; Ismail Ben Ayed; Marco Pedersoli; Jose Dolz (CoRR, 2024)

Is Meta-training Really Necessary for Molecular Few-Shot Learning ? - Philippe Formont; Hugo Jeannin; Pablo Piantanida; Ismail Ben Ayed (CoRR, 2024)

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

CLIPArTT: Light-weight Adaptation of CLIP to New Domains at Test Time. - Gustavo Adolfo Vargas Hakim; David Osowiechi; Mehrdad Noori; Milad Cheraghalikhani; Ali Bahri; Moslem Yazdanpanah; Ismail Ben Ayed; Christian Desrosiers (CoRR, 2024)

When is an Embedding Model More Promising than Another? - Maxime Darrin; Philippe Formont; Ismail Ben Ayed; Jackie C. K. Cheung; Pablo Piantanida (CoRR, 2024)

Words Matter: Leveraging Individual Text Embeddings for Code Generation in CLIP Test-Time Adaptation. - Shambhavi Mishra; Julio Silva-Rodríguez; Ismail Ben Ayed; Marco Pedersoli; Jose Dolz (CoRR, 2024)

Are foundation models for computer vision good conformal predictors? - Leo Fillioux; Julio Silva-Rodríguez; Ismail Ben Ayed; Paul-Henry Cournède; Maria Vakalopoulou; Stergios Christodoulidis; Jose Dolz (CoRR, 2024)

Structure-aware feature stylization for domain generalization. - Milad Cheraghalikhani; Mehrdad Noori; David Osowiechi; Gustavo Adolfo Vargas Hakim; Ismail Ben Ayed; Christian Desrosiers (Comput. Vis. Image Underst., 2024)

TFS-ViT: Token-level feature stylization for domain generalization. - Mehrdad Noori; Milad Cheraghalikhani; Ali Bahri; Gustavo Adolfo Vargas Hakim; David Osowiechi; Ismail Ben Ayed; Christian Desrosiers (Pattern Recognit., 2024)

Training Graph Neural Networks Subject to a Tight Lipschitz Constraint. - Simona Ioana Juvina; Ana Antonia Neacsu; Jérôme Rony; Jean-Christophe Pesquet; Corneliu Burileanu; Ismail Ben Ayed (Trans. Mach. Learn. Res., 2024)

Do not trust what you trust: Miscalibration in Semisupervised Learning. - Shambhavi Mishra; Balamurali Murugesan; Ismail Ben Ayed; Marco Pedersoli; Jose Dolz (Trans. Mach. Learn. Res., 2024)

Do we really need dice? The hidden region-size biases of segmentation losses. - Bingyuan Liu; Jose Dolz; Adrian Galdran; Riadh Kobbi; Ismail Ben Ayed (Medical Image Anal., 2024)

Adversarial Library. - Jérôme Rony; Ismail Ben Ayed (Zenodo, 2024)

Adversarial Library. - Jérôme Rony; Ismail Ben Ayed (Zenodo, 2024)

Simplex Clustering via sBeta With Applications to Online Adjustment of Black-Box Predictions. - Florent Chiaroni; Malik Boudiaf; Amar Mitiche; Ismail Ben Ayed (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

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 (AAAI, 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 (CVPR, 2025)

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

Vocabulary-free few-shot learning for vision-language models. - Maxime Zanella; Clément Fuchs; Ismail Ben Ayed; Christophe De Vleeschouwer (CVPR Workshops, 2025)

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

Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene Classification. - Karim El Khoury; Maxime Zanella; Benoît Gérin; Tiffanie Godelaine; Benoît Macq; Saïd Mahmoudi; Christophe De Vleeschouwer; Ismail Ben Ayed (ICASSP, 2025)

A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text? - Julio Silva-Rodríguez; Jose Dolz; Ismail Ben Ayed (IPMI (2), 2025)

Full Conformal Adaptation of Medical Vision-Language Models. - Julio Silva-Rodríguez; Leo Fillioux; Paul-Henry Cournède; Maria Vakalopoulou; Stergios Christodoulidis; Ismail Ben Ayed; Jose Dolz (IPMI (2), 2025)

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

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

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

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

Neighbor-aware calibration of segmentation networks with penalty-based constraints. - Balamurali Murugesan; Sukesh Adiga Vasudeva; Bingyuan Liu; Herve Lombaert; Ismail Ben Ayed; Jose Dolz (Medical Image Anal., 2025)

A Foundation Language-Image Model of the Retina (FLAIR): encoding expert knowledge in text supervision. - Julio Silva-Rodríguez; Hadi Chakor; Riadh Kobbi; Jose Dolz; Ismail Ben Ayed (Medical Image Anal., 2025)

Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation. - Julio Silva-Rodríguez; Jose Dolz; Ismail Ben Ayed (Medical Image Anal., 2025)

CoLo-CAM: Class activation mapping for object co-localization in weakly-labeled unconstrained videos. - Soufiane Belharbi; Shakeeb Murtaza; Marco Pedersoli; Ismail Ben Ayed; Luke McCaffrey; Eric Granger (Pattern Recognit., 2025)

Aggregatedf-average neural network applied to few-shot class incremental learning. - Mathieu Vu; Émilie Chouzenoux; Ismail Ben Ayed; Jean-Christophe Pesquet (Signal Process., 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 (Trans. Mach. Learn. Res., 2025)

A Strong Baseline for Molecular Few-Shot Learning. - Philippe Formont; Hugo Jeannin; Pablo Piantanida; Ismail Ben Ayed (Trans. Mach. Learn. Res., 2025)

Variable Bregman Majorization-Minimization Algorithm and its Application to Dirichlet Maximum Likelihood Estimation. - Ségolène Martin; Jean-Christophe Pesquet; Gabriele Steidl; Ismail Ben Ayed (CoRR, 2025)

Adversarial Library. - Jérôme Rony; Ismail Ben Ayed (Zenodo, 2025)

Analyzing the Impact of Low-Rank Adaptation for Cross-Domain Few-Shot Object Detection in Aerial Images. - Hicham Talaoubrid; Anissa Mokraoui; Ismail Ben Ayed; Axel Prouvost; Sonimith Hang; Monit Korn; Rémi Harvey (CoRR, 2025)

Sparsity Outperforms Low-Rank Projections in Few-Shot Adaptation. - Nairouz Mrabah; Nicolas Richet; Ismail Ben Ayed; Éric Granger (CoRR, 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 (CoRR, 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 (CoRR, 2025)

Recovering Fairness Directly from Modularity: a New Way for Fair Community Partitioning. - Yufeng Wang; Yiguang Bai; Tianqing Zhu; Ismail Ben Ayed; Jing Yuan 001 (CoRR, 2025)

Few-Shot, Now for Real: Medical VLMs Adaptation without Balanced Sets or Validation. - Julio Silva-Rodríguez; Fereshteh Shakeri; Houda Bahig; Jose Dolz; Ismail Ben Ayed (CoRR, 2025)

Trustworthy Few-Shot Transfer of Medical VLMs through Split Conformal Prediction. - Julio Silva-Rodríguez; Ismail Ben Ayed; Jose Dolz (CoRR, 2025)

ViLU: Learning Vision-Language Uncertainties for Failure Prediction. - Marc Lafon; Yannis Karmim; Julio Silva-Rodríguez; Paul Couairon; Clément Rambour; Raphaël Fournier-S'niehotta; Ismail Ben Ayed; Jose Dolz; Nicolas Thome (CoRR, 2025)

Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation. - Ghassen Baklouti; Julio Silva-Rodríguez; Jose Dolz; Houda Bahig; Ismail Ben Ayed (CoRR, 2025)