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2020 – today
- 2024
- [j54]Milad Cheraghalikhani, Mehrdad Noori, David Osowiechi, Gustavo Adolfo Vargas Hakim
, Ismail Ben Ayed, Christian Desrosiers:
Structure-aware feature stylization for domain generalization. Comput. Vis. Image Underst. 244: 104016 (2024) - [j53]Bingyuan Liu, Jose Dolz
, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed:
Do we really need dice? The hidden region-size biases of segmentation losses. Medical Image Anal. 91: 103015 (2024) - [j52]Mehrdad Noori, Milad Cheraghalikhani
, Ali Bahri, Gustavo Adolfo Vargas Hakim, David Osowiechi, Ismail Ben Ayed, Christian Desrosiers
:
TFS-ViT: Token-level feature stylization for domain generalization. Pattern Recognit. 149: 110213 (2024) - [j51]Simona Ioana Juvina, Ana Antonia Neacsu, Jérôme Rony, Jean-Christophe Pesquet, Corneliu Burileanu, Ismail Ben Ayed:
Training Graph Neural Networks Subject to a Tight Lipschitz Constraint. Trans. Mach. Learn. Res. 2024 (2024) - [c94]Balamurali Murugesan, Rukhshanda Hussain, Rajarshi Bhattacharya, Ismail Ben Ayed, Jose Dolz:
Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation. WACV 2024: 290-301 - [c93]Saypraseuth Mounsaveng, Florent Chiaroni, Malik Boudiaf, Marco Pedersoli, Ismail Ben Ayed:
Bag of Tricks for Fully Test-Time Adaptation. WACV 2024: 1925-1934 - [i112]Balamurali Murugesan, Sukesh Adiga Vasudeva, Bingyuan Liu, Hervé Lombaert, Ismail Ben Ayed, Jose Dolz:
Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints. CoRR abs/2401.14487 (2024) - [i111]Julio Silva-Rodríguez, Jihed Chelbi, Waziha Kabir, Hadi Chakor, Jose Dolz, Ismail Ben Ayed, Riadh Kobbi:
Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy. CoRR abs/2401.15526 (2024) - [i110]Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz:
Class and Region-Adaptive Constraints for Network Calibration. CoRR abs/2403.12364 (2024) - [i109]Shambhavi Mishra, Balamurali Murugesan, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz:
Do not trust what you trust: Miscalibration in Semi-supervised Learning. CoRR abs/2403.15567 (2024) - [i108]Yunshi Huang, Fereshteh Shakeri, Jose Dolz, Malik Boudiaf, Houda Bahig, Ismail Ben Ayed:
LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP. CoRR abs/2404.02285 (2024) - [i107]Philippe Formont, Hugo Jeannin, Pablo Piantanida, Ismail Ben Ayed:
Is Meta-training Really Necessary for Molecular Few-Shot Learning ? CoRR abs/2404.02314 (2024) - [i106]Sina Hajimiri, Ismail Ben Ayed, Jose Dolz:
Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation. CoRR abs/2404.08181 (2024) - [i105]David Osowiechi, Gustavo Adolfo Vargas Hakim, Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Moslem Yazdanpanah, Ismail Ben Ayed, Christian Desrosiers:
NC-TTT: A Noise Contrastive Approach for Test-Time Training. CoRR abs/2404.08392 (2024) - [i104]Antonio Emanuele Cinà, Jérôme Rony, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Ismail Ben Ayed, Fabio Roli:
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples. CoRR abs/2404.19460 (2024) - [i103]Gustavo Adolfo Vargas Hakim, David Osowiechi, Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Moslem Yazdanpanah, Ismail Ben Ayed, Christian Desrosiers:
CLIPArTT: Light-weight Adaptation of CLIP to New Domains at Test Time. CoRR abs/2405.00754 (2024) - [i102]Maxime Zanella, Ismail Ben Ayed:
On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning? CoRR abs/2405.02266 (2024) - [i101]Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori, Milad Cheraghalikhani, Gustavo Adolfo Vargas Hakim, David Osowiechi, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers:
GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3D. CoRR abs/2405.12419 (2024) - [i100]Ségolène Martin, Yunshi Huang, Fereshteh Shakeri, Jean-Christophe Pesquet, Ismail Ben Ayed:
Transductive Zero-Shot and Few-Shot CLIP. CoRR abs/2405.18437 (2024) - [i99]Maxime Zanella, Ismail Ben Ayed:
Low-Rank Few-Shot Adaptation of Vision-Language Models. CoRR abs/2405.18541 (2024) - [i98]Maxime Zanella, Benoît Gérin, Ismail Ben Ayed:
Boosting Vision-Language Models with Transduction. CoRR abs/2406.01837 (2024) - [i97]Maxime Darrin, Philippe Formont, Ismail Ben Ayed, Jackie CK Cheung, Pablo Piantanida:
When is an Embedding Model More Promising than Another? CoRR abs/2406.07640 (2024) - [i96]David Osowiechi, Mehrdad Noori, Gustavo Adolfo Vargas Hakim, Moslem Yazdanpanah, Ali Bahri, Milad Cheraghalikhani, Sahar Dastani, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers:
WATT: Weight Average Test-Time Adaptation of CLIP. CoRR abs/2406.13875 (2024) - [i95]Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Gustavo Adolfo Vargas Hakim, David Osowiechi, Moslem Yazdanpanah, Ismail Ben Ayed, Christian Desrosiers:
FDS: Feedback-guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain Generalization. CoRR abs/2407.03588 (2024) - 2023
- [j50]Bingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz:
Segmentation with mixed supervision: Confidence maximization helps knowledge distillation. Medical Image Anal. 83: 102670 (2023) - [j49]Balamurali Murugesan
, Bingyuan Liu, Adrian Galdran
, Ismail Ben Ayed, Jose Dolz:
Calibrating segmentation networks with margin-based label smoothing. Medical Image Anal. 87: 102826 (2023) - [j48]Marine Picot
, Francisco Messina
, Malik Boudiaf
, Fabrice Labeau
, Ismail Ben Ayed
, Pablo Piantanida
:
Adversarial Robustness Via Fisher-Rao Regularization. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2698-2710 (2023) - [c92]Julio Silva-Rodríguez, Jihed Chelbi, Waziha Kabir, Hadi Chakor, Jose Dolz, Ismail Ben Ayed, Riadh Kobbi:
Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy. CGI (3) 2023: 427-437 - [c91]Sina Hajimiri, Malik Boudiaf, Ismail Ben Ayed, Jose Dolz:
A Strong Baseline for Generalized Few-Shot Semantic Segmentation. CVPR 2023: 11269-11278 - [c90]Bingyuan Liu, Jérôme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed:
Class Adaptive Network Calibration. CVPR 2023: 16070-16079 - [c89]Jérôme Rony, Jean-Christophe Pesquet, Ismail Ben Ayed:
Proximal Splitting Adversarial Attack for Semantic Segmentation. CVPR 2023: 20524-20533 - [c88]Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Céline Hudelot, Ismail Ben Ayed:
Open-Set Likelihood Maximization for Few-Shot Learning. CVPR 2023: 24007-24016 - [c87]Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Myriam Tami, Victor Storchan, Ismail Ben Ayed, Pablo Piantanida:
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. EMNLP 2023: 4214-4231 - [c86]Florent Chiaroni, Jose Dolz, Imtiaz Masud Ziko, Amar Mitiche, Ismail Ben Ayed:
Parametric Information Maximization for Generalized Category Discovery. ICCV 2023: 1729-1739 - [c85]Gustavo Adolfo Vargas Hakim, David Osowiechi, Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Ismail Ben Ayed, Christian Desrosiers:
ClusT3: Information Invariant Test-Time Training. ICCV 2023: 6113-6112 - [c84]Julio Silva-Rodríguez, Jose Dolz, Ismail Ben Ayed:
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 213-224 - [c83]Balamurali Murugesan
, Sukesh Adiga V
, Bingyuan Liu, Herve Lombaert
, Ismail Ben Ayed, Jose Dolz
:
Trust Your Neighbours: Penalty-Based Constraints for Model Calibration. MICCAI (3) 2023: 572-581 - [c82]Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
:
TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos. WACV 2023: 137-146 - [c81]David Osowiechi, Gustavo Adolfo Vargas Hakim, Mehrdad Noori, Milad Cheraghalikhani, Ismail Ben Ayed, Christian Desrosiers:
TTTFlow: Unsupervised Test-Time Training with Normalizing Flow. WACV 2023: 2125-2126 - [i94]Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Céline Hudelot, Ismail Ben Ayed:
Open-Set Likelihood Maximization for Few-Shot Learning. CoRR abs/2301.08390 (2023) - [i93]Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Hervé Lombaert, Ismail Ben Ayed, Jose Dolz:
Trust your neighbours: Penalty-based constraints for model calibration. CoRR abs/2303.06268 (2023) - [i92]Soufiane Belharbi, Shakeeb Murtaza, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
:
CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos. CoRR abs/2303.09044 (2023) - [i91]Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Gustavo Adolfo Vargas Hakim, David Osowiechi, Ismail Ben Ayed, Christian Desrosiers:
TFS-ViT: Token-Level Feature Stylization for Domain Generalization. CoRR abs/2303.15698 (2023) - [i90]Julio Silva-Rodríguez, Jose Dolz, Ismail Ben Ayed:
Transductive few-shot adapters for medical image segmentation. CoRR abs/2303.17051 (2023) - [i89]Imtiaz Masud Ziko, Freddy Lécué, Ismail Ben Ayed:
Task Adaptive Feature Transformation for One-Shot Learning. CoRR abs/2304.06832 (2023) - [i88]Balamurali Murugesan, Rukhshanda Hussain, Rajarshi Bhattacharya, Ismail Ben Ayed, Jose Dolz:
Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation. CoRR abs/2307.00097 (2023) - [i87]Saypraseuth Mounsaveng, Issam H. Laradji, David Vázquez, Marco Pedersoli, Ismail Ben Ayed:
Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images. CoRR abs/2307.11808 (2023) - [i86]Julio Silva-Rodríguez, Hadi Chakor, Riadh Kobbi, Jose Dolz, Ismail Ben Ayed:
A Foundation LAnguage-Image model of the Retina (FLAIR): Encoding expert knowledge in text supervision. CoRR abs/2308.07898 (2023) - [i85]Saypraseuth Mounsaveng, Florent Chiaroni, Malik Boudiaf, Marco Pedersoli, Ismail Ben Ayed:
Bag of Tricks for Fully Test-Time Adaptation. CoRR abs/2310.02416 (2023) - [i84]Mathieu Vu, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed:
Aggregated f-average Neural Network for Interpretable Ensembling. CoRR abs/2310.05566 (2023) - [i83]Gustavo Adolfo Vargas Hakim, David Osowiechi, Mehrdad Noori, Milad Cheraghalikhani, Ismail Ben Ayed, Christian Desrosiers:
ClusT3: Information Invariant Test-Time Training. CoRR abs/2310.12345 (2023) - [i82]Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Victor Storchan, Myriam Tami, Ismail Ben Ayed, Céline Hudelot, Pablo Piantanida:
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. CoRR abs/2310.13998 (2023) - [i81]Aymen Sadraoui, Ségolène Martin, Eliott Barbot, Astrid Laurent-Bellue, Jean-Christophe Pesquet, Catherine Guettier, Ismail Ben Ayed:
A transductive few-shot learning approach for classification of digital histopathological slides from liver cancer. CoRR abs/2311.17740 (2023) - [i80]Julio Silva-Rodríguez, Sina Hajimiri, Ismail Ben Ayed, Jose Dolz:
A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models. CoRR abs/2312.12730 (2023) - 2022
- [j47]Mathilde Bateson
, Hoel Kervadec
, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed:
Source-free domain adaptation for image segmentation. Medical Image Anal. 82: 102617 (2022) - [j46]Soufiane Belharbi
, Jérôme Rony
, Jose Dolz
, Ismail Ben Ayed
, Luke McCaffrey, Eric Granger
:
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty. IEEE Trans. Medical Imaging 41(3): 702-714 (2022) - [c80]Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran
, Jose Dolz:
The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration. CVPR 2022: 80-88 - [c79]Malik Boudiaf, Romain Müller, Ismail Ben Ayed, Luca Bertinetto:
Parameter-free Online Test-time Adaptation. CVPR 2022: 8334-8343 - [c78]Hoel Kervadec, Jose Dolz, Jing Yuan, Christian Desrosiers, Eric Granger, Ismail Ben Ayed:
Constrained deep networks: Lagrangian optimization via Log-barrier extensions. EUSIPCO 2022: 962-966 - [c77]Mathilde Bateson, Herve Lombaert, Ismail Ben Ayed:
Test-Time Adaptation with Shape Moments for Image Segmentation. MICCAI (4) 2022: 736-745 - [c76]Soufiane Belharbi, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Negative Evidence Matters in Interpretable Histology Image Classification. MIDL 2022: 103-129 - [c75]Ségolène Martin, Malik Boudiaf, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed:
Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference. NeurIPS 2022 - [c74]Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
:
F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling. WACV 2022: 3727-3736 - [i79]Soufiane Belharbi, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Negative Evidence Matters in Interpretable Histology Image Classification. CoRR abs/2201.02445 (2022) - [i78]Malik Boudiaf, Romain Müller, Ismail Ben Ayed, Luca Bertinetto:
Parameter-free Online Test-time Adaptation. CoRR abs/2201.05718 (2022) - [i77]Olivier Veilleux, Malik Boudiaf, Pablo Piantanida, Ismail Ben Ayed:
Realistic Evaluation of Transductive Few-Shot Learning. CoRR abs/2204.11181 (2022) - [i76]Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
:
Leveraging Uncertainty for Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images. CoRR abs/2205.05841 (2022) - [i75]Mathilde Bateson, Hervé Lombaert, Ismail Ben Ayed:
Test-Time Adaptation with Shape Moments for Image Segmentation. CoRR abs/2205.07983 (2022) - [i74]Fereshteh Shakeri, Malik Boudiaf, Sina Mohammadi, Ivaxi Sheth, Mohammad Havaei, Ismail Ben Ayed, Samira Ebrahimi Kahou:
FHIST: A Benchmark for Few-shot Classification of Histological Images. CoRR abs/2206.00092 (2022) - [i73]Jérôme Rony, Jean-Christophe Pesquet, Ismail Ben Ayed:
Proximal Splitting Adversarial Attacks for Semantic Segmentation. CoRR abs/2206.07179 (2022) - [i72]Malik Boudiaf, Etienne Bennequin, Myriam Tami, Céline Hudelot, Antoine Toubhans, Pablo Piantanida, Ismail Ben Ayed:
Model-Agnostic Few-Shot Open-Set Recognition. CoRR abs/2206.09236 (2022) - [i71]Florent Chiaroni, Malik Boudiaf, Amar Mitiche, Ismail Ben Ayed:
Simplex Clustering via sBeta with Applications to Online Adjustment of Black-Box Predictions. CoRR abs/2208.00287 (2022) - [i70]Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
:
TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos. CoRR abs/2208.14542 (2022) - [i69]Balamurali Murugesan, Bingyuan Liu, Adrian Galdran
, Ismail Ben Ayed, Jose Dolz:
Calibrating Segmentation Networks with Margin-based Label Smoothing. CoRR abs/2209.09641 (2022) - [i68]David Osowiechi, Gustavo Adolfo Vargas Hakim, Mehrdad Noori, Milad Cheraghalikhani, Ismail Ben Ayed, Christian Desrosiers:
TTTFlow: Unsupervised Test-Time Training with Normalizing Flow. CoRR abs/2210.11389 (2022) - [i67]Ségolène Martin, Malik Boudiaf, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed:
Towards Practical Few-Shot Query Sets: Transductive Minimum Description Length Inference. CoRR abs/2210.14545 (2022) - [i66]Sina Hajimiri, Malik Boudiaf, Ismail Ben Ayed, Jose Dolz:
A Strong Baseline for Generalized Few-Shot Semantic Segmentation. CoRR abs/2211.14126 (2022) - [i65]Bingyuan Liu, Jérôme Rony, Adrian Galdran
, Jose Dolz, Ismail Ben Ayed:
Class Adaptive Network Calibration. CoRR abs/2211.15088 (2022) - [i64]Florent Chiaroni, Jose Dolz, Imtiaz Masud Ziko, Amar Mitiche, Ismail Ben Ayed:
Mutual Information-based Generalized Category Discovery. CoRR abs/2212.00334 (2022) - [i63]Ruobing Shen, Bo Tang, Andrea Lodi, Ismail Ben Ayed, Thomas Guthier:
Connectivity-constrained Interactive Panoptic Segmentation. CoRR abs/2212.06756 (2022) - 2021
- [j45]Hugo Masson, Amran Bhuiyan
, Le Thanh Nguyen-Meidine, Mehrsan Javan
, Parthipan Siva, Ismail Ben Ayed, Eric Granger
:
Exploiting prunability for person re-identification. EURASIP J. Image Video Process. 2021(1): 22 (2021) - [j44]Madhu Kiran, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Louis-Antoine Blais-Morin, Ismail Ben Ayed, Eric Granger
:
Flow guided mutual attention for person re-identification. Image Vis. Comput. 113: 104246 (2021) - [j43]Hoel Kervadec
, Jihene Bouchtiba, Christian Desrosiers, Eric Granger
, Jose Dolz, Ismail Ben Ayed:
Boundary loss for highly unbalanced segmentation. Medical Image Anal. 67: 101851 (2021) - [j42]Mohammed Jabi, Marco Pedersoli
, Amar Mitiche
, Ismail Ben Ayed
:
Deep Clustering: On the Link Between Discriminative Models and K-Means. IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 1887-1896 (2021) - [j41]Mathilde Bateson
, José Dolz
, Hoel Kervadec
, Hervé Lombaert
, Ismail Ben Ayed
:
Constrained Domain Adaptation for Image Segmentation. IEEE Trans. Medical Imaging 40(7): 1875-1887 (2021) - [c73]Imtiaz Masud Ziko, Jing Yuan, Eric Granger, Ismail Ben Ayed:
Variational Fair Clustering. AAAI 2021: 11202-11209 - [c72]Malik Boudiaf, Hoel Kervadec, Imtiaz Masud Ziko, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz:
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CVPR 2021: 13979-13988 - [c71]Jérôme Rony, Eric Granger
, Marco Pedersoli, Ismail Ben Ayed:
Augmented Lagrangian Adversarial Attacks. ICCV 2021: 7718-7727 - [c70]Jose Dolz, Christian Desrosiers, Ismail Ben Ayed:
Teach Me to Segment with Mixed Supervision: Confident Students Become Masters. IPMI 2021: 517-529 - [c69]Hoel Kervadec, Houda Bahig, Laurent Létourneau-Guillon, Jose Dolz, Ismail Ben Ayed:
Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good! MIDL 2021: 354-368 - [c68]Olivier Veilleux, Malik Boudiaf, Pablo Piantanida, Ismail Ben Ayed:
Realistic evaluation of transductive few-shot learning. NeurIPS 2021: 9290-9302 - [c67]Saypraseuth Mounsaveng, Issam H. Laradji, Ismail Ben Ayed, David Vázquez, Marco Pedersoli:
Learning Data Augmentation with Online Bilevel Optimization for Image Classification. WACV 2021: 1690-1699 - [c66]Reza Azad, Abdur R. Fayjie, Claude Kauffmann, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz:
On the Texture Bias for Few-Shot CNN Segmentation. WACV 2021: 2673-2682 - [c65]Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
:
Deep Active Learning for Joint Classification & Segmentation with Weak Annotator. WACV 2021: 3337-3346 - [i62]Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed:
The hidden label-marginal biases of segmentation losses. CoRR abs/2104.08717 (2021) - [i61]Hoel Kervadec, Houda Bahig, Laurent Létourneau-Guillon, José Dolz, Ismail Ben Ayed:
Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good! CoRR abs/2105.00859 (2021) - [i60]Marine Picot, Francisco Messina, Malik Boudiaf, Fabrice Labeau, Ismail Ben Ayed, Pablo Piantanida:
Adversarial Robustness via Fisher-Rao Regularization. CoRR abs/2106.06685 (2021) - [i59]Imtiaz Masud Ziko, Malik Boudiaf, Jose Dolz, Eric Granger, Ismail Ben Ayed:
Transductive Few-Shot Learning: Clustering is All You Need? CoRR abs/2106.09516 (2021) - [i58]Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida:
Mutual-Information Based Few-Shot Classification. CoRR abs/2106.12252 (2021) - [i57]Shengxiang Deng, Ismail Ben Ayed, Hongpeng Sun:
A Preconditioned Alternating Minimization Framework for Nonconvex and Half Quadratic Optimization. CoRR abs/2107.13755 (2021) - [i56]Mathilde Bateson, Jose Dolz, Hoel Kervadec, Hervé Lombaert, Ismail Ben Ayed:
Source-Free Domain Adaptation for Image Segmentation. CoRR abs/2108.03152 (2021) - [i55]Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
F-CAM: Full Resolution CAM via Guided Parametric Upscaling. CoRR abs/2109.07069 (2021) - [i54]Bingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz:
Mixed-supervised segmentation: Confidence maximization helps knowledge distillation. CoRR abs/2109.10902 (2021) - [i53]Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz:
The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration. CoRR abs/2111.15430 (2021) - 2020
- [j40]Jose Dolz
, Christian Desrosiers, Li Wang
, Jing Yuan, Dinggang Shen, Ismail Ben Ayed:
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation. Comput. Medical Imaging Graph. 79: 101660 (2020) - [j39]Jizong Peng, Hoel Kervadec, Jose Dolz
, Ismail Ben Ayed, Marco Pedersoli, Christian Desrosiers
:
Discretely-constrained deep network for weakly supervised segmentation. Neural Networks 130: 297-308 (2020) - [j38]Ruobing Shen
, Bo Tang
, Andrea Lodi, Andrea Tramontani, Ismail Ben Ayed:
An ILP Model for Multi-Label MRFs With Connectivity Constraints. IEEE Trans. Image Process. 29: 6909-6917 (2020) - [c64]Malik Boudiaf
, Jérôme Rony
, Imtiaz Masud Ziko
, Eric Granger
, Marco Pedersoli
, Pablo Piantanida
, Ismail Ben Ayed
:
A Unifying Mutual Information View of Metric Learning: Cross-Entropy vs. Pairwise Losses. ECCV (6) 2020: 548-564 - [c63]Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed:
Laplacian Regularized Few-Shot Learning. ICML 2020: 11660-11670 - [c62]Mathilde Bateson
, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed:
Source-Relaxed Domain Adaptation for Image Segmentation. MICCAI (1) 2020: 490-499 - [c61]Adrian Galdran
, Jose Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed:
Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images. MICCAI (5) 2020: 665-674 - [c60]Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed:
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision. MIDL 2020: 365-381 - [c59]Georg Pichler, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida:
On Direct Distribution Matching for Adapting Segmentation Networks. MIDL 2020: 624-637 - [c58]Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Pablo Piantanida, Ismail Ben Ayed:
Information Maximization for Few-Shot Learning. NeurIPS 2020 - [c57]Amran Bhuiyan, Yang Liu, Parthipan Siva, Mehrsan Javan
, Ismail Ben Ayed, Eric Granger
:
Pose Guided Gated Fusion for Person Re-identification. WACV 2020: 2664-2673 - [e1]Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Hervé Lombaert, Christopher Pal:
International Conference on Medical Imaging with Deep Learning, MIDL 2020, 6-8 July 2020, Montréal, QC, Canada. Proceedings of Machine Learning Research 121, PMLR 2020 [contents] - [i52]Reza Azad, Abdur R. Fayjie, Claude Kauffmann, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz:
On the Texture Bias for Few-Shot CNN Segmentation. CoRR abs/2003.04052 (2020) - [i51]Abdur R. Fayjie, Reza Azad, Marco Pedersoli, Claude Kauffmann, Ismail Ben Ayed, Jose Dolz:
Semi-supervised few-shot learning for medical image segmentation. CoRR abs/2003.08462 (2020) - [i50]Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed:
Metric learning: cross-entropy vs. pairwise losses. CoRR abs/2003.08983 (2020) - [i49]Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed:
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision. CoRR abs/2004.06816 (2020) - [i48]Mathilde Bateson, Hoel Kervadec, Jose Dolz, Herve Lombaert, Ismail Ben Ayed:
Source-Relaxed Domain Adaptation for Image Segmentation. CoRR abs/2005.03697 (2020) - [i47]Saypraseuth Mounsaveng, Issam H. Laradji, Ismail Ben Ayed, David Vázquez, Marco Pedersoli:
Learning Data Augmentation with Online Bilevel Optimization for Image Classification. CoRR abs/2006.14699 (2020) - [i46]Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed:
Laplacian Regularized Few-Shot Learning. CoRR abs/2006.15486 (2020) - [i45]Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Herve Lombaert, Chris Pal:
Medical Imaging with Deep Learning: MIDL 2020 - Short Paper Track. CoRR abs/2007.02319 (2020) - [i44]Madhu Kiran, Amran Bhuiyan, Louis-Antoine Blais-Morin, Mehrsan Javan, Ismail Ben Ayed, Eric Granger:
Flow-Guided Attention Networks for Video-Based Person Re-Identification. CoRR abs/2008.03788 (2020) - [i43]Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, José Dolz, Pablo Piantanida, Ismail Ben Ayed:
Transductive Information Maximization For Few-Shot Learning. CoRR abs/2008.11297 (2020) - [i42]Adrian Galdran, André Anjos
, José Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed:
The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models. CoRR abs/2009.01907 (2020) - [i41]Adrian Galdran, José Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed:
Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images. CoRR abs/2010.00291 (2020) - [i40]Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Deep Active Learning for Joint Classification & Segmentation with Weak Annotator. CoRR abs/2010.04889 (2020) - [i39]Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty. CoRR abs/2011.07221 (2020) - [i38]Jérôme Rony
, Eric Granger, Marco Pedersoli, Ismail Ben Ayed:
Augmented Lagrangian Adversarial Attacks. CoRR abs/2011.11857 (2020) - [i37]Cheng Li, Rongpin Wang, Zaiyi Liu, Meiyun Wang, Hongna Tan, Yaping Wu, Xinfeng Liu, Hui Sun, Rui Yang, Xin Liu, Ismail Ben Ayed, Hairong Zheng, Hanchuan Peng, Shanshan Wang:
AIDE: Annotation-efficient deep learning for automatic medical image segmentation. CoRR abs/2012.04885 (2020) - [i36]Malik Boudiaf, Hoel Kervadec, Imtiaz Masud Ziko, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz:
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CoRR abs/2012.06166 (2020) - [i35]Jose Dolz, Christian Desrosiers, Ismail Ben Ayed:
Teach me to segment with mixed supervision: Confident students become masters. CoRR abs/2012.08051 (2020)
2010 – 2019
- 2019
- [j37]Meng Tang, Dmitrii Marin, Ismail Ben Ayed, Yuri Boykov:
Kernel Cuts: Kernel and Spectral Clustering Meet Regularization. Int. J. Comput. Vis. 127(5): 477-511 (2019) - [j36]Hoel Kervadec
, Jose Dolz
, Meng Tang, Eric Granger
, Yuri Boykov, Ismail Ben Ayed:
Constrained-CNN losses for weakly supervised segmentation. Medical Image Anal. 54: 88-99 (2019) - [j35]Dmitrii Marin
, Meng Tang
, Ismail Ben Ayed, Yuri Boykov
:
Kernel Clustering: Density Biases and Solutions. IEEE Trans. Pattern Anal. Mach. Intell. 41(1): 136-147 (2019) - [j34]Jose Dolz
, Karthik Gopinath
, Jing Yuan, Herve Lombaert
, Christian Desrosiers
, Ismail Ben Ayed:
HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation. IEEE Trans. Medical Imaging 38(5): 1116-1126 (2019) - [j33]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
:
Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. IEEE Trans. Medical Imaging 38(9): 2219-2230 (2019) - [c56]Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger
:
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses. CVPR 2019: 4322-4330 - [c55]Dmitrii Marin
, Meng Tang, Ismail Ben Ayed, Yuri Boykov:
Beyond Gradient Descent for Regularized Segmentation Losses. CVPR 2019: 10187-10196 - [c54]Mathilde Bateson
, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed:
Constrained Domain Adaptation for Segmentation. MICCAI (2) 2019: 326-334 - [c53]Hoel Kervadec, Jose Dolz, Éric Granger
, Ismail Ben Ayed:
Curriculum Semi-supervised Segmentation. MICCAI (2) 2019: 568-576 - [c52]Hoel Kervadec
, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed:
Boundary loss for highly unbalanced segmentation. MIDL 2019: 285-296 - [i34]Georg Pichler, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida:
On Direct Distribution Matching for Adapting Segmentation Networks. CoRR abs/1904.02657 (2019) - [i33]Hoel Kervadec, Jose Dolz, Jing Yuan, Christian Desrosiers, Eric Granger, Ismail Ben Ayed:
Log-barrier constrained CNNs. CoRR abs/1904.04205 (2019) - [i32]Hoel Kervadec, Jose Dolz, Eric Granger, Ismail Ben Ayed:
Curriculum semi-supervised segmentation. CoRR abs/1904.05236 (2019) - [i31]Imtiaz Masud Ziko, Eric Granger, Jing Yuan, Ismail Ben Ayed:
Clustering with Fairness Constraints: A Flexible and Scalable Approach. CoRR abs/1906.08207 (2019) - [i30]Hugo Masson, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Mehrsan Javan, Parthipan Siva, Ismail Ben Ayed, Eric Granger:
A Survey of Pruning Methods for Efficient Person Re-identification Across Domains. CoRR abs/1907.02547 (2019) - [i29]Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Weakly Supervised Object Localization using Min-Max Entropy: an Interpretable Framework. CoRR abs/1907.12934 (2019) - [i28]Mathilde Bateson, Jose Dolz, Hoel Kervadec, Hervé Lombaert, Ismail Ben Ayed:
Constrained domain adaptation for segmentation. CoRR abs/1908.02996 (2019) - [i27]Sajjad Abdoli, Luiz G. Hafemann, Jérôme Rony, Ismail Ben Ayed, Patrick Cardinal, Alessandro L. Koerich:
Universal Adversarial Audio Perturbations. CoRR abs/1908.03173 (2019) - [i26]Jizong Peng, Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, Marco Pedersoli, Christian Desrosiers:
Discretely-constrained deep network for weakly supervised segmentation. CoRR abs/1908.05770 (2019) - [i25]Jérôme Rony, Soufiane Belharbi, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Deep weakly-supervised learning methods for classification and localization in histology images: a survey. CoRR abs/1909.03354 (2019) - [i24]Saypraseuth Mounsaveng, David Vázquez, Ismail Ben Ayed, Marco Pedersoli:
Adversarial Learning of General Transformations for Data Augmentation. CoRR abs/1909.09801 (2019) - [i23]Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Deep Ordinal Classification with Inequality Constraints. CoRR abs/1911.10720 (2019) - 2018
- [j32]Jose Dolz, Christian Desrosiers, Ismail Ben Ayed:
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study. NeuroImage 170: 456-470 (2018) - [j31]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:
Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images. NeuroImage 183: 150-172 (2018) - [c51]Meng Tang, Federico Perazzi, Abdelaziz Djelouah, Ismail Ben Ayed, Christopher Schroers, Yuri Boykov:
On Regularized Losses for Weakly-supervised CNN Segmentation. ECCV (16) 2018: 524-540 - [c50]Jose Dolz, Ismail Ben Ayed, Jing Yuan, Christian Desrosiers:
Isointense infant brain segmentation with a hyper-dense connected convolutional neural network. ISBI 2018: 616-620 - [c49]Jose Dolz, Christian Desrosiers, Ismail Ben Ayed:
IVD-Net: Intervertebral Disc Localization and Segmentation in MRI with a Multi-modal UNet. CSI@MICCAI 2018: 130-143 - [c48]Jose Dolz, Ismail Ben Ayed, Christian Desrosiers:
Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities. BrainLes@MICCAI (1) 2018: 271-282 - [c47]Imtiaz Masud Ziko, Eric Granger, Ismail Ben Ayed:
Scalable Laplacian K-modes. NeurIPS 2018: 10062-10072 - [i22]Meng Tang, Federico Perazzi, Abdelaziz Djelouah, Ismail Ben Ayed, Christopher Schroers, Yuri Boykov:
On Regularized Losses for Weakly-supervised CNN Segmentation. CoRR abs/1803.09569 (2018) - [i21]Jose Dolz, Karthik Gopinath, Jing Yuan, Herve Lombaert, Christian Desrosiers, Ismail Ben Ayed:
HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation. CoRR abs/1804.02967 (2018) - [i20]Hoel Kervadec, Jose Dolz, Meng Tang, Eric Granger, Yuri Boykov, Ismail Ben Ayed:
Constrained-CNN losses forweakly supervised segmentation. CoRR abs/1805.04628 (2018) - [i19]Jose Dolz, Xiaopan Xu, Jérôme Rony, Jing Yuan, Yang Liu, Eric Granger, Christian Desrosiers, Xi Zhang, Ismail Ben Ayed, Hongbing Lu:
Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks. CoRR abs/1805.10720 (2018) - [i18]Dmitrii Marin, Meng Tang, Ismail Ben Ayed, Yuri Boykov:
ADM for grid CRF loss in CNN segmentation. CoRR abs/1809.02322 (2018) - [i17]Mohammed Jabi, Marco Pedersoli, Amar Mitiche, Ismail Ben Ayed:
Deep clustering: On the link between discriminative models and K-means. CoRR abs/1810.04246 (2018) - [i16]Jose Dolz, Ismail Ben Ayed, Christian Desrosiers:
Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities. CoRR abs/1810.07003 (2018) - [i15]Imtiaz Masud Ziko, Eric Granger, Ismail Ben Ayed:
Scalable Laplacian K-modes. CoRR abs/1810.13044 (2018) - [i14]Jose Dolz, Christian Desrosiers, Ismail Ben Ayed:
IVD-Net: Intervertebral disc localization and segmentation in MRI with a multi-modal UNet. CoRR abs/1811.08305 (2018) - [i13]Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger:
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses. CoRR abs/1811.09600 (2018) - [i12]Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed:
Boundary loss for highly unbalanced segmentation. CoRR abs/1812.07032 (2018) - 2017
- [j30]Seyed-Parsa Hojjat, Ismail Ben Ayed
, Gregory J. Garvin, Kumaradevan Punithakumar
:
Spine labeling in MRI via regularized distribution matching. Int. J. Comput. Assist. Radiol. Surg. 12(11): 1911-1922 (2017) - [j29]Yosra Mathlouthi, Amar Mitiche, Ismail Ben Ayed:
Regularised differentiation for image derivatives. IET Image Process. 11(5): 310-316 (2017) - [j28]Lena Gorelick, Yuri Boykov, Olga Veksler
, Ismail Ben Ayed, Andrew Delong:
Local Submodularization for Binary Pairwise Energies. IEEE Trans. Pattern Anal. Mach. Intell. 39(10): 1985-1999 (2017) - [c46]Jose Dolz, Ismail Ben Ayed, Christian Desrosiers:
DOPE: Distributed Optimization for Pairwise Energies. CVPR 2017: 4095-4104 - [c45]Jose Dolz, Ismail Ben Ayed, Christian Desrosiers:
Unbiased Shape Compactness for Segmentation. MICCAI (1) 2017: 755-763 - [i11]Jose Dolz, Ismail Ben Ayed, Christian Desrosiers:
DOPE: Distributed Optimization for Pairwise Energies. CoRR abs/1704.03116 (2017) - [i10]Tobias Fechter, Sonja Adebahr, Dimos Baltas, Ismail Ben Ayed, Christian Desrosiers, Jose Dolz:
A 3D fully convolutional neural network and a random walker to segment the esophagus in CT. CoRR abs/1704.06544 (2017) - [i9]Jose Dolz, Ismail Ben Ayed, Christian Desrosiers:
Unbiased Shape Compactness for Segmentation. CoRR abs/1704.08908 (2017) - [i8]Jose Dolz, Ismail Ben Ayed, Jing Yuan, Christian Desrosiers:
HyperDense-Net: A hyper-densely connected CNN for multi-modal image semantic segmentation. CoRR abs/1710.05956 (2017) - [i7]Jose Dolz, Christian Desrosiers, Li Wang, Jing Yuan, Dinggang Shen, Ismail Ben Ayed:
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation. CoRR abs/1712.05319 (2017) - [i6]Ruobing Shen, Eric Kendinibilir, Ismail Ben Ayed, Andrea Lodi, Andrea Tramontani, Gerhard Reinelt:
An ILP Solver for Multi-label MRFS with Connectivity Constraints. CoRR abs/1712.06020 (2017) - 2016
- [j27]Brandon Miles, Ismail Ben Ayed, Seyed-Parsa Hojjat, Michael Wang
, Shuo Li
, Aaron Fenster, Gregory J. Garvin:
Spine labeling in axial magnetic resonance imaging via integral kernels. Comput. Medical Imaging Graph. 54: 27-34 (2016) - [j26]Kumaradevan Punithakumar
, Ismail Ben Ayed, Mariam Afshin, Aashish Goela
, Ali Islam, Shuo Li
, Pierre Boulanger, Harald Becher, Michelle Noga
:
Detecting left ventricular impaired relaxation in cardiac MRI using moving mesh correspondences. Comput. Methods Programs Biomed. 124: 58-66 (2016) - [j25]Yosra Mathlouthi, Amar Mitiche, Ismail Ben Ayed:
Monocular, Boundary-Preserving Joint Recovery of Scene Flow and Depth. Frontiers ICT 3: 21 (2016) - [c44]Yosra Mathlouthi, Amar Mitiche, Ismail Ben Ayed:
Boundary Preserving Variational Image Differentiation. GCPR 2016: 355-364 - [c43]Meng Tang, Dmitrii Marin, Ismail Ben Ayed, Yuri Boykov:
Normalized Cut Meets MRF. ECCV (2) 2016: 748-765 - [p1]Frank R. Schmidt, Lena Gorelick, Ismail Ben Ayed, Yuri Boykov, Thomas Brox:
Shape Distances for Binary Image Segmentation. Perspectives in Shape Analysis 2016: 137-154 - [i5]Jose Dolz, Christian Desrosiers, Ismail Ben Ayed:
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study. CoRR abs/1612.03925 (2016) - 2015
- [j24]Ines Njeh
, Lamia Sallemi, Ismail Ben Ayed, Khalil Chtourou, Stéphane Lehéricy, Damien Galanaud, Ahmed Ben Hamida:
3D multimodal MRI brain glioma tumor and edema segmentation: A graph cut distribution matching approach. Comput. Medical Imaging Graph. 40: 108-119 (2015) - [j23]Kumaradevan Punithakumar
, Michelle Noga
, Ismail Ben Ayed, Pierre Boulanger:
Right ventricular segmentation in cardiac MRI with moving mesh correspondences. Comput. Medical Imaging Graph. 43: 15-25 (2015) - [j22]Amar Mitiche, Yosra Mathlouthi, Ismail Ben Ayed:
Monocular Concurrent Recovery of Structure and Motion Scene Flow. Frontiers ICT 2: 16 (2015) - [j21]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:
Right ventricle segmentation from cardiac MRI: A collation study. Medical Image Anal. 19(1): 187-202 (2015) - [j20]Ismail Ben Ayed, Kumaradevan Punithakumar
, Shuo Li
:
Distribution Matching with the Bhattacharyya Similarity: A Bound Optimization Framework. IEEE Trans. Pattern Anal. Mach. Intell. 37(9): 1777-1791 (2015) - [c42]Meng Tang, Ismail Ben Ayed, Dmitrii Marin, Yuri Boykov:
Secrets of GrabCut and Kernel K-Means. ICCV 2015: 1555-1563 - [c41]Yuri Boykov, Hossam N. Isack, Carl Olsson, Ismail Ben Ayed:
Volumetric Bias in Segmentation and Reconstruction: Secrets and Solutions. ICCV 2015: 1769-1777 - [i4]Yuri Boykov, Hossam N. Isack, Carl Olsson, Ismail Ben Ayed:
Volumetric Bias in Segmentation and Reconstruction: Secrets and Solutions. CoRR abs/1505.00218 (2015) - [i3]Meng Tang, Ismail Ben Ayed, Dmitrii Marin, Yuri Boykov:
Secrets of GrabCut and Kernel K-means. CoRR abs/1506.07439 (2015) - 2014
- [j19]Mohamed Ben Salah, Ismail Ben Ayed, Jing Yuan, Hong Zhang:
Convex-Relaxed Kernel Mapping for Image Segmentation. IEEE Trans. Image Process. 23(3): 1143-1153 (2014) - [j18]Mariam Afshin, Ismail Ben Ayed, Kumaradevan Punithakumar
, Max W. K. Law, Ali Islam, Aashish Goela
, Terry M. Peters, Shuo Li
:
Regional Assessment of Cardiac Left Ventricular Myocardial Function via MRI Statistical Features. IEEE Trans. Medical Imaging 33(2): 481-494 (2014) - [c40]Kumaradevan Punithakumar
, Michelle Noga
, Pierre Boulanger, Ismail Ben Ayed, Mariam Afshin, Aashish Goela, Ali Islam, Shuo Li
:
Detecting left ventricular impaired relaxation using MR imaging. BHI 2014: 310-313 - [c39]Lena Gorelick, Yuri Boykov, Olga Veksler, Ismail Ben Ayed, Andrew Delong:
Submodularization for Binary Pairwise Energies. CVPR 2014: 1154-1161 - [c38]Meng Tang, Ismail Ben Ayed, Yuri Boykov:
Pseudo-bound Optimization for Binary Energies. ECCV (5) 2014: 691-707 - [c37]Yosra Mathlouthi, Amar Mitiche, Ismail Ben Ayed:
Direct Estimation of Dense Scene Flow and Depth from a Monocular Sequence. ISVC (1) 2014: 107-117 - [c36]Ismail Ben Ayed, Michael Wang
, Brandon Miles, Gregory J. Garvin:
TRIC: Trust Region for Invariant Compactness and Its Application to Abdominal Aorta Segmentation. MICCAI (1) 2014: 381-388 - 2013
- [j17]Kumaradevan Punithakumar
, Ismail Ben Ayed, Ali Islam, Aashish Goela
, Ian G. Ross, Jaron Chong, Shuo Li
:
Regional heart motion abnormality detection: An information theoretic approach. Medical Image Anal. 17(3): 311-324 (2013) - [j16]Cyrus M. S. Nambakhsh, Jing Yuan, Kumaradevan Punithakumar
, Aashish Goela
, Martin Rajchl
, Terry M. Peters, Ismail Ben Ayed:
Left ventricle segmentation in MRI via convex relaxed distribution matching. Medical Image Anal. 17(8): 1010-1024 (2013) - [j15]Brandon Miles, Ismail Ben Ayed, Max W. K. Law, Gregory J. Garvin, Aaron Fenster, Shuo Li
:
Spine Image Fusion Via Graph Cuts. IEEE Trans. Biomed. Eng. 60(7): 1841-1850 (2013) - [c35]Ismail Ben Ayed, Lena Gorelick, Yuri Boykov:
Auxiliary Cuts for General Classes of Higher Order Functionals. CVPR 2013: 1304-1311 - [c34]Cyrus M. S. Nambakhsh, Terry M. Peters, Ali Islam, Ismail Ben Ayed:
Right Ventricle Segmentation with Probability Product Kernel Constraints. MICCAI (1) 2013: 509-517 - [i2]Lena Gorelick, Yuri Boykov, Olga Veksler, Ismail Ben Ayed, Andrew Delong:
Submodularization for Quadratic Pseudo-Boolean Optimization. CoRR abs/1311.1856 (2013) - [i1]Lena Gorelick, Ismail Ben Ayed, Frank R. Schmidt, Yuri Boykov:
An Experimental Comparison of Trust Region and Level Sets. CoRR abs/1311.2102 (2013) - 2012
- [j14]Ismail Ben Ayed, Hua-mei Chen, Kumaradevan Punithakumar
, Ian G. Ross, Shuo Li
:
Max-flow segmentation of the left ventricle by recovering subject-specific distributions via a bound of the Bhattacharyya measure. Medical Image Anal. 16(1): 87-100 (2012) - [j13]Mohamed Ben Salah, Ismail Ben Ayed, Amar Mitiche:
Active Curve Recovery of Region Boundary Patterns. IEEE Trans. Pattern Anal. Mach. Intell. 34(5): 834-849 (2012) - [j12]Kumaradevan Punithakumar
, Jing Yuan, Ismail Ben Ayed, Shuo Li
, Yuri Boykov:
A Convex Max-Flow Approach to Distribution-Based Figure-Ground Separation. SIAM J. Imaging Sci. 5(4): 1333-1354 (2012) - [c33]Mohamed Ben Salah, Ismail Ben Ayed, Jing Yuan, Zhijie Wang, Hong Zhang:
Convex relaxation for image segmentation by kernel mapping. ICIP 2012: 289-292 - [c32]Mariam Afshin, Ismail Ben Ayed, Ali Islam, Aashish Goela, Ian G. Ross, Terry M. Peters, Shuo Li
:
Estimation of the Cardiac Ejection Fraction from image statistics. ISBI 2012: 824-827 - [c31]Ines Njeh, Ismail Ben Ayed, Ahmed Ben Hamida:
A distribution-matching approach to MRI brain tumor segmentation. ISBI 2012: 1707-1710 - [c30]Brandon Miles, Max W. K. Law, Ismail Ben Ayed, Gregory J. Garvin, Aaron Fenster, Shuo Li
:
Pixel level image fusion for medical imaging: an energy minimizing approach. Medical Imaging: Computer-Aided Diagnosis 2012: 831511 - [c29]Ismail Ben Ayed, Kumaradevan Punithakumar, Rashid Minhas, Rohit Joshi, Gregory J. Garvin:
Vertebral Body Segmentation in MRI via Convex Relaxation and Distribution Matching. MICCAI (1) 2012: 520-527 - [c28]Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Aashish Goela
, Shuo Li
:
Regional Heart Motion Abnormality Detection via Multiview Fusion. MICCAI (2) 2012: 527-534 - [c27]Mariam Afshin, Ismail Ben Ayed, Ali Islam, Aashish Goela
, Terry M. Peters, Shuo Li
:
Global Assessment of Cardiac Function Using Image Statistics in MRI. MICCAI (2) 2012: 535-543 - 2011
- [j11]Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed:
Multiregion Image Segmentation by Parametric Kernel Graph Cuts. IEEE Trans. Image Process. 20(2): 545-557 (2011) - [c26]Mohammad Saleh Nambakhsh, Jing Yuan, Ismail Ben Ayed, Kumaradevan Punithakumar
, Aashish Goela
, Ali Islam, Terry M. Peters, Shuo Li
:
A Convex Max-Flow Segmentation of LV Using Subject-Specific Distributions on Cardiac MRI. IPMI 2011: 171-183 - [c25]Ismail Ben Ayed, Kumaradevan Punithakumar
, Gregory J. Garvin, Walter Romano, Shuo Li
:
Graph Cuts with Invariant Object-Interaction Priors: Application to Intervertebral Disc Segmentation. IPMI 2011: 221-232 - [c24]Mariam Afshin, Ismail Ben Ayed, Kumaradevan Punithakumar
, Max W. K. Law, Ali Islam, Aashish Goela
, Ian G. Ross, Terry M. Peters, Shuo Li
:
Assessment of Regional Myocardial Function via Statistical Features in MR Images. MICCAI (3) 2011: 107-114 - [c23]Mohammad Saleh Nambakhsh, Kumaradevan Punithakumar
, Ismail Ben Ayed, Aashish Goela, Ali Islam, Terry M. Peters, Shuo Li
:
A neural network learned information measures for heart motion abnormality detection. Medical Imaging: Image Processing 2011: 79621H - [c22]Mariam Afshin, Ismail Ben Ayed, Ali Islam, Ian G. Ross, Terry M. Peters, Shuo Li
:
Variational level-set segmentation and tracking of left ventricle using field prior. Medical Imaging: Image Processing 2011: 79622D - 2010
- [j10]Kumaradevan Punithakumar
, Ismail Ben Ayed, Ali Islam, Ian G. Ross, Shuo Li
:
Tracking Endocardial Motion Via Multiple Model Filtering. IEEE Trans. Biomed. Eng. 57(8): 2001-2010 (2010) - [j9]Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed:
Effective Level Set Image Segmentation With a Kernel Induced Data Term. IEEE Trans. Image Process. 19(1): 220-232 (2010) - [j8]Kumaradevan Punithakumar
, Ismail Ben Ayed, Ian G. Ross, Ali Islam, Jaron Chong, Shuo Li
:
Detection of left ventricular motion abnormality via information measures and Bayesian filtering. IEEE Trans. Inf. Technol. Biomed. 14(4): 1106-1113 (2010) - [c21]Ismail Ben Ayed, Amar Mitiche, Mohamed Ben Salah, Shuo Li
:
Finding image distributions on active curves. CVPR 2010: 3225-3232 - [c20]Ismail Ben Ayed, Hua-mei Chen, Kumaradevan Punithakumar
, Ian G. Ross, Shuo Li
:
Graph cut segmentation with a global constraint: Recovering region distribution via a bound of the Bhattacharyya measure. CVPR 2010: 3288-3295 - [c19]Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed:
Image partitioning with kernel mapping and graph cuts. ICIP 2010: 245-248 - [c18]Kumaradevan Punithakumar
, Ismail Ben Ayed, Ali Islam, Ian G. Ross, Shuo Li
:
Regional Heart Motion Abnormality Detection via Information Measures and Unscented Kalman Filtering. MICCAI (1) 2010: 409-417
2000 – 2009
- 2009
- [j7]Ismail Ben Ayed, Shuo Li
, Ian G. Ross, Ali Islam:
Myocardium tracking via matching distributions. Int. J. Comput. Assist. Radiol. Surg. 4(1): 37-44 (2009) - [j6]Ismail Ben Ayed, Shuo Li
, Ian G. Ross:
A Statistical Overlap Prior for Variational Image Segmentation. Int. J. Comput. Vis. 85(1): 115-132 (2009) - [j5]Ismail Ben Ayed, Shuo Li
, Ian G. Ross:
Embedding Overlap Priors in Variational Left Ventricle Tracking. IEEE Trans. Medical Imaging 28(12): 1902-1913 (2009) - [c17]Kumaradevan Punithakumar
, Ismail Ben Ayed, Ali Islam, Ian G. Ross, Shuo Li
:
Tracking Endocardial Boundary and Motion via Graph Cut Distribution Matching and Multiple Model Filtering. ACCV (3) 2009: 172-182 - [c16]Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed:
Image segmentation in a kernel-induced space. ICIP 2009: 2997-3000 - [c15]Ismail Ben Ayed, Shuo Li
, Ian G. Ross:
Level Set Image Segmentation with a Statistical Overlap Constraint. IPMI 2009: 589-601 - [c14]Kumaradevan Punithakumar
, Shuo Li
, Ismail Ben Ayed, Ian G. Ross, Ali Islam, Jaron Chong:
Heart Motion Abnormality Detection via an Information Measure and Bayesian Filtering. MICCAI (1) 2009: 373-380 - [c13]Ismail Ben Ayed, Kumaradevan Punithakumar
, Shuo Li
, Ali Islam, Jaron Chong:
Left Ventricle Segmentation via Graph Cut Distribution Matching. MICCAI (1) 2009: 901-909 - 2008
- [j4]Ismail Ben Ayed, Amar Mitiche:
A Region Merging Prior for Variational Level Set Image Segmentation. IEEE Trans. Image Process. 17(12): 2301-2311 (2008) - [c12]Ismail Ben Ayed, Shuo Li
, Ian G. Ross:
Tracking distributions with an overlap prior. CVPR 2008 - [c11]Ismail Ben Ayed, Amar Mitiche:
Merging Active Contours. ISVC (2) 2008: 181-191 - [c10]Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed:
A Continuous Labeling for Multiphase Graph Cut Image Partitioning. ISVC (1) 2008: 268-277 - [c9]Ismail Ben Ayed, Yingli Lu, Shuo Li
, Ian G. Ross:
Left Ventricle Tracking Using Overlap Priors. MICCAI (1) 2008: 1025-1033 - [c8]Ismail Ben Ayed, Shuo Li
, Ali Islam, Gregory J. Garvin, Rethy Chhem:
Area prior constrained level set evolution for medical image segmentation. Medical Imaging: Image Processing 2008: 691402 - [c7]Mohamed Ben Salah, Ismail Ben Ayed, Amar Mitiche:
Multiregion Graph Cut Image Segmentation. VISAPP (1) 2008: 535-538 - 2007
- [c6]Ismail Ben Ayed, Amar Mitiche:
Embedding a Region Merging Prior in Level Set Vector-Valued Image Segmentation. ACCV (1) 2007: 925-934 - 2006
- [j3]Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj:
Polarimetric Image Segmentation via Maximum-Likelihood Approximation and Efficient Multiphase Level-Sets. IEEE Trans. Pattern Anal. Mach. Intell. 28(9): 1493-1500 (2006) - [j2]Ismail Ben Ayed, N. Hennane, Amar Mitiche:
Unsupervised Variational Image Segmentation/Classification Using a Weibull Observation Model. IEEE Trans. Image Process. 15(11): 3431-3439 (2006) - [c5]Ismail Ben Ayed, Amar Mitiche:
A Partition Constrained Minimization Scheme for Efficient Multiphase Level Set Image Segmentation. ICIP 2006: 1641-1644 - [c4]Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj:
Variational Unsupervised Segmentation of Multi-Look Complex Polarimetric Images using a Wishart Observation Model. ICIP 2006: 3233-3236 - 2005
- [j1]Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj:
Multiregion Level-Set Partitioning of Synthetic Aperture Radar Images. IEEE Trans. Pattern Anal. Mach. Intell. 27(5): 793-800 (2005) - [c3]Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj:
Level set curve evolution partitioning of polarimetric images. ICIP (1) 2005: 281-284 - 2004
- [c2]Ismail Ben Ayed, Carlos Vázquez, Amar Mitiche, Ziad Belhadj:
Sar image segmentation with active contours and level sets. ICIP 2004: 2717-2720 - [c1]Carlos Vázquez, Amar Mitiche, Ismail Ben Ayed:
Image segmentation as regularized clustering: a fully global curve evolution method. ICIP 2004: 3467-3470
Coauthor Index
aka: José Dolz
aka: Éric Granger
aka: Herve Lombaert
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