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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) - [c95]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 - [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 - [i113]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) - [i112]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) - [i111]Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz:
Class and Region-Adaptive Constraints for Network Calibration. CoRR abs/2403.12364 (2024) - [i110]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) - [i109]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) - [i108]Philippe Formont, Hugo Jeannin, Pablo Piantanida, Ismail Ben Ayed:
Is Meta-training Really Necessary for Molecular Few-Shot Learning ? CoRR abs/2404.02314 (2024) - [i107]Sina Hajimiri, Ismail Ben Ayed, Jose Dolz:
Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation. CoRR abs/2404.08181 (2024) - [i106]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) - [i105]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) - [i104]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) - [i103]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) - [i102]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) - [i101]Ségolène Martin, Yunshi Huang, Fereshteh Shakeri, Jean-Christophe Pesquet, Ismail Ben Ayed:
Transductive Zero-Shot and Few-Shot CLIP. CoRR abs/2405.18437 (2024) - [i100]Maxime Zanella, Ismail Ben Ayed:
Low-Rank Few-Shot Adaptation of Vision-Language Models. CoRR abs/2405.18541 (2024) - [i99]Maxime Zanella, Benoît Gérin, Ismail Ben Ayed:
Boosting Vision-Language Models with Transduction. CoRR abs/2406.01837 (2024) - [i98]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) - [i97]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) - [i96]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) - [i95]Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz:
Robust Calibration of Large Vision-Language Adapters. CoRR abs/2407.13588 (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]