Ismail Ben Ayed

According to our database1, Ismail Ben Ayed authored at least 155 papers between 2004 and 2022.

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Bibliography

2022
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty.
IEEE Trans. Medical Imaging, 2022

Leveraging Uncertainty for Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images.
CoRR, 2022

Parameter-free Online Test-time Adaptation.
CoRR, 2022

Negative Evidence Matters in Interpretable Histology Image Classification.
CoRR, 2022

F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021
Constrained Domain Adaptation for Image Segmentation.
IEEE Trans. Medical Imaging, 2021

Deep Clustering: On the Link Between Discriminative Models and K-Means.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Boundary loss for highly unbalanced segmentation.
Medical Image Anal., 2021

Flow guided mutual attention for person re-identification.
Image Vis. Comput., 2021

Exploiting prunability for person re-identification.
EURASIP J. Image Video Process., 2021

The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration.
CoRR, 2021

Mixed-supervised segmentation: Confidence maximization helps knowledge distillation.
CoRR, 2021

F-CAM: Full Resolution CAM via Guided Parametric Upscaling.
CoRR, 2021

Source-Free Domain Adaptation for Image Segmentation.
CoRR, 2021

A Preconditioned Alternating Minimization Framework for Nonconvex and Half Quadratic Optimization.
CoRR, 2021

Mutual-Information Based Few-Shot Classification.
CoRR, 2021

Transductive Few-Shot Learning: Clustering is All You Need?
CoRR, 2021

Adversarial Robustness via Fisher-Rao Regularization.
CoRR, 2021

The hidden label-marginal biases of segmentation losses.
CoRR, 2021

Learning Data Augmentation with Online Bilevel Optimization for Image Classification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Deep Active Learning for Joint Classification & Segmentation with Weak Annotator.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

On the Texture Bias for Few-Shot CNN Segmentation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Realistic evaluation of transductive few-shot learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good!
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Teach Me to Segment with Mixed Supervision: Confident Students Become Masters.
Proceedings of the Information Processing in Medical Imaging, 2021

Augmented Lagrangian Adversarial Attacks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Variational Fair Clustering.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
An ILP Model for Multi-Label MRFs With Connectivity Constraints.
IEEE Trans. Image Process., 2020

Discretely-constrained deep network for weakly supervised segmentation.
Neural Networks, 2020

AIDE: Annotation-efficient deep learning for automatic medical image segmentation.
CoRR, 2020

The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models.
CoRR, 2020

Transductive Information Maximization For Few-Shot Learning.
CoRR, 2020

Flow-Guided Attention Networks for Video-Based Person Re-Identification.
CoRR, 2020

Medical Imaging with Deep Learning: MIDL 2020 - Short Paper Track.
CoRR, 2020

Metric learning: cross-entropy vs. pairwise losses.
CoRR, 2020

Semi-supervised few-shot learning for medical image segmentation.
CoRR, 2020

Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation.
Comput. Medical Imaging Graph., 2020

Pose Guided Gated Fusion for Person Re-identification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Information Maximization for Few-Shot Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On Direct Distribution Matching for Adapting Segmentation Networks.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Source-Relaxed Domain Adaptation for Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Laplacian Regularized Few-Shot Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

A Unifying Mutual Information View of Metric Learning: Cross-Entropy vs. Pairwise Losses.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge.
IEEE Trans. Medical Imaging, 2019

HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation.
IEEE Trans. Medical Imaging, 2019

Kernel Clustering: Density Biases and Solutions.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Constrained-CNN losses for weakly supervised segmentation.
Medical Image Anal., 2019

Kernel Cuts: Kernel and Spectral Clustering Meet Regularization.
Int. J. Comput. Vis., 2019

Deep Ordinal Classification with Inequality Constraints.
CoRR, 2019

Adversarial Learning of General Transformations for Data Augmentation.
CoRR, 2019

Deep weakly-supervised learning methods for classification and localization in histology images: a survey.
CoRR, 2019

Universal Adversarial Audio Perturbations.
CoRR, 2019

Weakly Supervised Object Localization using Min-Max Entropy: an Interpretable Framework.
CoRR, 2019

A Survey of Pruning Methods for Efficient Person Re-identification Across Domains.
CoRR, 2019

Clustering with Fairness Constraints: A Flexible and Scalable Approach.
CoRR, 2019

Log-barrier constrained CNNs.
CoRR, 2019

Curriculum Semi-supervised Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Constrained Domain Adaptation for Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Beyond Gradient Descent for Regularized Segmentation Losses.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study.
NeuroImage, 2018

Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images.
NeuroImage, 2018

ADM for grid CRF loss in CNN segmentation.
CoRR, 2018

Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks.
CoRR, 2018

Constrained-CNN losses forweakly supervised segmentation.
CoRR, 2018

Scalable Laplacian K-modes.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

IVD-Net: Intervertebral Disc Localization and Segmentation in MRI with a Multi-modal UNet.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2018

Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Isointense infant brain segmentation with a hyper-dense connected convolutional neural network.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

On Regularized Losses for Weakly-supervised CNN Segmentation.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Local Submodularization for Binary Pairwise Energies.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Regularised differentiation for image derivatives.
IET Image Process., 2017

An ILP Solver for Multi-label MRFS with Connectivity Constraints.
CoRR, 2017

HyperDense-Net: A hyper-densely connected CNN for multi-modal image semantic segmentation.
CoRR, 2017

A 3D fully convolutional neural network and a random walker to segment the esophagus in CT.
CoRR, 2017

Spine labeling in MRI via regularized distribution matching.
Int. J. Comput. Assist. Radiol. Surg., 2017

Unbiased Shape Compactness for Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

DOPE: Distributed Optimization for Pairwise Energies.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Monocular, Boundary-Preserving Joint Recovery of Scene Flow and Depth.
Frontiers ICT, 2016

Detecting left ventricular impaired relaxation in cardiac MRI using moving mesh correspondences.
Comput. Methods Programs Biomed., 2016

Spine labeling in axial magnetic resonance imaging via integral kernels.
Comput. Medical Imaging Graph., 2016

Normalized Cut Meets MRF.
Proceedings of the Computer Vision - ECCV 2016, 2016

Boundary Preserving Variational Image Differentiation.
Proceedings of the Pattern Recognition - 38th German Conference, 2016

Shape Distances for Binary Image Segmentation.
Proceedings of the Perspectives in Shape Analysis, 2016

2015
Distribution Matching with the Bhattacharyya Similarity: A Bound Optimization Framework.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Right ventricle segmentation from cardiac MRI: A collation study.
Medical Image Anal., 2015

Monocular Concurrent Recovery of Structure and Motion Scene Flow.
Frontiers ICT, 2015

Right ventricular segmentation in cardiac MRI with moving mesh correspondences.
Comput. Medical Imaging Graph., 2015

3D multimodal MRI brain glioma tumor and edema segmentation: A graph cut distribution matching approach.
Comput. Medical Imaging Graph., 2015

Secrets of GrabCut and Kernel K-Means.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Volumetric Bias in Segmentation and Reconstruction: Secrets and Solutions.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Regional Assessment of Cardiac Left Ventricular Myocardial Function via MRI Statistical Features.
IEEE Trans. Medical Imaging, 2014

Convex-Relaxed Kernel Mapping for Image Segmentation.
IEEE Trans. Image Process., 2014

TRIC: Trust Region for Invariant Compactness and Its Application to Abdominal Aorta Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Direct Estimation of Dense Scene Flow and Depth from a Monocular Sequence.
Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014

Pseudo-bound Optimization for Binary Energies.
Proceedings of the Computer Vision - ECCV 2014, 2014

Submodularization for Binary Pairwise Energies.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Detecting left ventricular impaired relaxation using MR imaging.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2013
Spine Image Fusion Via Graph Cuts.
IEEE Trans. Biomed. Eng., 2013

Regional heart motion abnormality detection: An information theoretic approach.
Medical Image Anal., 2013

Left ventricle segmentation in MRI via convex relaxed distribution matching.
Medical Image Anal., 2013

Submodularization for Quadratic Pseudo-Boolean Optimization.
CoRR, 2013

An Experimental Comparison of Trust Region and Level Sets.
CoRR, 2013

Right Ventricle Segmentation with Probability Product Kernel Constraints.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Auxiliary Cuts for General Classes of Higher Order Functionals.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
A Convex Max-Flow Approach to Distribution-Based Figure-Ground Separation.
SIAM J. Imaging Sci., 2012

Active Curve Recovery of Region Boundary Patterns.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Max-flow segmentation of the left ventricle by recovering subject-specific distributions via a bound of the Bhattacharyya measure.
Medical Image Anal., 2012

Regional Heart Motion Abnormality Detection via Multiview Fusion.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Vertebral Body Segmentation in MRI via Convex Relaxation and Distribution Matching.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Global Assessment of Cardiac Function Using Image Statistics in MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Pixel level image fusion for medical imaging: an energy minimizing approach.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

A distribution-matching approach to MRI brain tumor segmentation.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Estimation of the Cardiac Ejection Fraction from image statistics.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Convex relaxation for image segmentation by kernel mapping.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011
Multiregion Image Segmentation by Parametric Kernel Graph Cuts.
IEEE Trans. Image Process., 2011

A neural network learned information measures for heart motion abnormality detection.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Variational level-set segmentation and tracking of left ventricle using field prior.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Assessment of Regional Myocardial Function via Statistical Features in MR Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

A Convex Max-Flow Segmentation of LV Using Subject-Specific Distributions on Cardiac MRI.
Proceedings of the Information Processing in Medical Imaging, 2011

Graph Cuts with Invariant Object-Interaction Priors: Application to Intervertebral Disc Segmentation.
Proceedings of the Information Processing in Medical Imaging, 2011

2010
Detection of left ventricular motion abnormality via information measures and Bayesian filtering.
IEEE Trans. Inf. Technol. Biomed., 2010

Effective Level Set Image Segmentation With a Kernel Induced Data Term.
IEEE Trans. Image Process., 2010

Tracking Endocardial Motion Via Multiple Model Filtering.
IEEE Trans. Biomed. Eng., 2010

Regional Heart Motion Abnormality Detection via Information Measures and Unscented Kalman Filtering.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Image partitioning with kernel mapping and graph cuts.
Proceedings of the International Conference on Image Processing, 2010

Finding image distributions on active curves.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Graph cut segmentation with a global constraint: Recovering region distribution via a bound of the Bhattacharyya measure.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Embedding Overlap Priors in Variational Left Ventricle Tracking.
IEEE Trans. Medical Imaging, 2009

A Statistical Overlap Prior for Variational Image Segmentation.
Int. J. Comput. Vis., 2009

Myocardium tracking via matching distributions.
Int. J. Comput. Assist. Radiol. Surg., 2009

Heart Motion Abnormality Detection via an Information Measure and Bayesian Filtering.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Left Ventricle Segmentation via Graph Cut Distribution Matching.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Level Set Image Segmentation with a Statistical Overlap Constraint.
Proceedings of the Information Processing in Medical Imaging, 2009

Image segmentation in a kernel-induced space.
Proceedings of the International Conference on Image Processing, 2009

Tracking Endocardial Boundary and Motion via Graph Cut Distribution Matching and Multiple Model Filtering.
Proceedings of the Computer Vision, 2009

2008
A Region Merging Prior for Variational Level Set Image Segmentation.
IEEE Trans. Image Process., 2008

Multiregion Graph Cut Image Segmentation.
Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008

Area prior constrained level set evolution for medical image segmentation.
Proceedings of the Medical Imaging 2008: Image Processing, 2008

Left Ventricle Tracking Using Overlap Priors.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

A Continuous Labeling for Multiphase Graph Cut Image Partitioning.
Proceedings of the Advances in Visual Computing, 4th International Symposium, 2008

Merging Active Contours.
Proceedings of the Advances in Visual Computing, 4th International Symposium, 2008

Tracking distributions with an overlap prior.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Embedding a Region Merging Prior in Level Set Vector-Valued Image Segmentation.
Proceedings of the Computer Vision, 2007

2006
Unsupervised Variational Image Segmentation/Classification Using a Weibull Observation Model.
IEEE Trans. Image Process., 2006

Polarimetric Image Segmentation via Maximum-Likelihood Approximation and Efficient Multiphase Level-Sets.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Variational Unsupervised Segmentation of Multi-Look Complex Polarimetric Images using a Wishart Observation Model.
Proceedings of the International Conference on Image Processing, 2006

A Partition Constrained Minimization Scheme for Efficient Multiphase Level Set Image Segmentation.
Proceedings of the International Conference on Image Processing, 2006

2005
Multiregion Level-Set Partitioning of Synthetic Aperture Radar Images.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Level set curve evolution partitioning of polarimetric images.
Proceedings of the 2005 International Conference on Image Processing, 2005

2004
Image segmentation as regularized clustering: a fully global curve evolution method.
Proceedings of the 2004 International Conference on Image Processing, 2004

Sar image segmentation with active contours and level sets.
Proceedings of the 2004 International Conference on Image Processing, 2004


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