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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) - [c105]Maxime Zanella, Ismail Ben Ayed:
Low-Rank Few-Shot Adaptation of Vision-Language Models. CVPR Workshops 2024: 1593-1603 - [c104]David Osowiechi, Gustavo Adolfo Vargas Hakim, Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Moslem Yazdanpanah, Ismail Ben Ayed, Christian Desrosiers:
NC-TTT: A Noise Constrastive Approach for Test-Time Training. CVPR 2024: 6078-6086 - [c103]Julio Silva-Rodríguez, Sina Hajimiri, Ismail Ben Ayed, Jose Dolz:
A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models. CVPR 2024: 23681-23690 - [c102]Yunshi Huang, Fereshteh Shakeri, Jose Dolz, Malik Boudiaf, Houda Bahig, Ismail Ben Ayed:
LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP. CVPR 2024: 23773-23782 - [c101]Maxime Zanella, Ismail Ben Ayed:
On the Test-Time Zero-Shot Generalization of Vision-Language Models: Do we Really need Prompt Learning? CVPR 2024: 23783-23793 - [c100]Ségolène Martin, Yunshi Huang, Fereshteh Shakeri, Jean-Christophe Pesquet, Ismail Ben Ayed:
Transductive Zero-Shot and Few-Shot CLIP. CVPR 2024: 28816-28826 - [c99]Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz:
Robust Calibration of Large Vision-Language Adapters. ECCV (24) 2024: 147-165 - [c98]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. ISBI 2024: 1-5 - [c97]Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz:
Class and Region-Adaptive Constraints for Network Calibration. MICCAI (8) 2024: 57-67 - [c96]Maxime Zanella, Fereshteh Shakeri, Yunshi Huang, Houda Bahig, Ismail Ben Ayed:
Boosting Vision-Language Models for Histopathology Classification: Predict All at Once. MedAGI@MICCAI 2024: 153-162 - [c95]Fereshteh Shakeri, Yunshi Huang, Julio Silva-Rodríguez, Houda Bahig, An Tang, Jose Dolz, Ismail Ben Ayed:
Few-Shot Adaptation of Medical Vision-Language Models. MICCAI (12) 2024: 553-563 - [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 - [i116]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) - [i115]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) - [i114]Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz:
Class and Region-Adaptive Constraints for Network Calibration. CoRR abs/2403.12364 (2024) - [i113]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) - [i112]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) - [i111]Philippe Formont, Hugo Jeannin, Pablo Piantanida, Ismail Ben Ayed:
Is Meta-training Really Necessary for Molecular Few-Shot Learning ? CoRR abs/2404.02314 (2024) - [i110]Sina Hajimiri, Ismail Ben Ayed, Jose Dolz:
Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation. CoRR abs/2404.08181 (2024) - [i109]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) - [i108]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) - [i107]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) - [i106]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) - [i105]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) - [i104]Ségolène Martin, Yunshi Huang, Fereshteh Shakeri, Jean-Christophe Pesquet, Ismail Ben Ayed:
Transductive Zero-Shot and Few-Shot CLIP. CoRR abs/2405.18437 (2024) - [i103]Maxime Zanella, Ismail Ben Ayed:
Low-Rank Few-Shot Adaptation of Vision-Language Models. CoRR abs/2405.18541 (2024) - [i102]Maxime Zanella, Benoît Gérin, Ismail Ben Ayed:
Boosting Vision-Language Models with Transduction. CoRR abs/2406.01837 (2024) - [i101]Maxime Darrin, Philippe Formont, Ismail Ben Ayed, Jackie C. K. Cheung, Pablo Piantanida:
When is an Embedding Model More Promising than Another? CoRR abs/2406.07640 (2024) - [i100]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) - [i99]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) - [i98]Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz:
Robust Calibration of Large Vision-Language Adapters. CoRR abs/2407.13588 (2024) - [i97]Karim El Khoury, Maxime Zanella, Benoît Gérin, Tiffanie Godelaine, Benoît Macq, Saïd Mahmoudi, Christophe De Vleeschouwer, Ismail Ben Ayed:
Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene Classification. CoRR abs/2409.00698 (2024) - [i96]Maxime Zanella, Fereshteh Shakeri, Yunshi Huang, Houda Bahig, Ismail Ben Ayed:
Boosting Vision-Language Models for Histopathology Classification: Predict all at once. CoRR abs/2409.01883 (2024) - [i95]Fereshteh Shakeri, Yunshi Huang, Julio Silva-Rodríguez, Houda Bahig, An Tang, Jose Dolz, Ismail Ben Ayed:
Few-shot Adaptation of Medical Vision-Language Models. CoRR abs/2409.03868 (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
Jose Dolz
aka: José Dolz
aka: José Dolz
[j53] [c103] [c102] [c99] [c97] [c95] [c94] [i116] [i115] [i114] [i113] [i112] [i110] [i98] [i95] [j50] [j49] [c92] [c91] [c90] [c86] [c84] [c83] [i93] [i90] [i88] [i86] [i80] [j47] [j46] [c80] [c78] [i76] [i69] [i66] [i65] [i64] [j43] [j41] [c72] [c70] [c69] [c66] [i62] [i61] [i59] [i58] [i56] [i54] [i53] [j40] [j39] [c63] [c62] [c61] [c60] [c59] [c58] [i52] [i51] [i49] [i48] [i46] [i43] [i42] [i41] [i39] [i36] [i35] [j36] [j34] [j33] [c54] [c53] [c52] [i34] [i33] [i32] [i29] [i28] [i26] [i25] [j32] [j31] [c50] [c49] [c48] [i21] [i20] [i19] [i16] [i14] [i12] [c46] [c45] [i11] [i10] [i9] [i8] [i7] [i5]
Eric Granger
aka: Éric Granger
aka: Éric Granger
Hervé Lombaert
aka: Herve Lombaert
aka: Herve Lombaert
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