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Ismail Ben Ayed

  1. Parameter-free Online Test-time Adaptation
    2022/01/15 by Malik Boudiaf, Boudiaf, Malik, Romain Mueller +5 · 29 citations
    Computer Science · #Advanced Neural Network Applications #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
  2. Low-Rank Few-Shot Adaptation of Vision-Language Models
    2024/05/28 by Maxime Zanella, Ismail Ben Ayed, Zanella, Maxime +1 · 37 citations
    Computer Science · #Multimodal Machine Learning Applications
  3. The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration
    2021/11/30 by Bingyuan Liu, Liu, Bingyuan, Ismail Ben Ayed +5 · 16 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  4. A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
    2023/12/20 by Julio Silva-Rodríguez, Silva-Rodríguez, Julio, Sina Hajimiri +5 · 24 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Topic Modeling
  5. Parametric Information Maximization for Generalized Category Discovery
    2022/12/01 by Florent Chiaroni, Chiaroni, Florent, José Dolz +7 · 13 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning and Data Classification #Text and Document Classification Technologies
  6. LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP
    2024/04/02 by Yunshi Huang, Huang, Yunshi, Fereshteh Shakeri +9 · 21 citations
    Engineering · Physics and Astronomy · #Photonic and Optical Devices #Advanced Fiber Laser Technologies #Magneto-Optical Properties and Applications
  7. On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning?
    2024/05/03 by Maxime Zanella, Ismail Ben Ayed, Zanella, Maxime +1 · 19 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  8. Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation
    2024/04/12 by Sina Hajimiri, Hajimiri, Sina, Ismail Ben Ayed +3 · 17 citations
    Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  9. Few-Shot Segmentation Without Meta-Learning: A Good Transductive\n Inference Is All You Need?
    2020/12/11 by Malik Boudiaf, Hoel Kervadec, Boudiaf, Malik +9 · 9 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  10. TTTFlow: Unsupervised Test-Time Training with Normalizing Flow
    2022/10/20 by David Osowiechi, Gustavo A. Vargas Hakim, Osowiechi, David +9 · 10 citations
    Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  11. HyperDense-Net: A hyper-densely connected CNN for multi-modal image\n segmentation
    2018/04/09 by José Dolz, Karthik Gopinath, Dolz, Jose +9 · 5 citations
    Computer Science · Medicine · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Neonatal and fetal brain pathology
  12. A unifying mutual information view of metric learning: cross-entropy vs.\n pairwise losses
    2020/03/19 by Malik Boudiaf, Jérôme Rony, Boudiaf, Malik +11 · 5 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face and Expression Recognition #Face recognition and analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Video Surveillance and Tracking Methods
  13. Robust Calibration of Large Vision-Language Adapters
    2024/07/18 by Balamurali Murugesan, Murugesan, Balamurali, Julio Silva-Rodríguez +5 · 13 citations
    Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing Techniques and Applications
  14. WATT: Weight Average Test-Time Adaptation of CLIP
    2024/06/19 by David Osowiechi, Osowiechi, David, Mehrdad Noori +17 · 13 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Embedded Systems Design Techniques #FOS: Computer and information sciences #VLSI and Analog Circuit Testing #Video Coding and Compression Technologies
  15. Boosting Vision-Language Models with Transduction
    2024/06/03 by Maxime Zanella, Zanella, Maxime, Benoît Gérin +3 · 11 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  16. Proximal Splitting Adversarial Attacks for Semantic Segmentation
    2022/06/14 by Jérôme Rony, Jean‐Christophe Pesquet, Rony, Jérôme +3 · 5 citations
    Computer Science · Materials Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science
  17. Source-Free Domain Adaptation for Image Segmentation
    2021/08/06 by Mathilde Bateson, Hoel Kervadec, Bateson, Mathilde +7 · 4 citations
    Computer Science · Medicine · Engineering · #Domain Adaptation and Few-Shot Learning #COVID-19 diagnosis using AI #Medical Imaging and Analysis
  18. ClusT3: Information Invariant Test-Time Training
    2023/10/18 by Gustavo A. Vargas Hakim, Hakim, Gustavo A. Vargas, David Osowiechi +9 · 7 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  19. Few-shot Adaptation of Medical Vision-Language Models
    2024/09/05 by Fereshteh Shakeri, Shakeri, Fereshteh, Yunshi Huang +11 · 12 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  20. A Strong Baseline for Generalized Few-Shot Semantic Segmentation
    2022/11/25 by Sina Hajimiri, Malik Boudiaf, Hajimiri, Sina +5 · 4 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  21. Laplacian Regularized Few-Shot Learning
    2020/06/28 by Imtiaz Masud Ziko, José Dolz, Ziko, Imtiaz Masud +5 · 3 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Multimodal Machine Learning Applications
  22. CLIPArTT: Adaptation of CLIP to New Domains at Test Time
    2024/05/01 by Gustavo A. Vargas Hakim, Hakim, Gustavo Adolfo Vargas, David Osowiechi +13 · 7 citations
    Chemical Engineering · #Analytical Chemistry and Sensors #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  23. FHIST: A Benchmark for Few-shot Classification of Histological Images
    2022/05/31 by Fereshteh Shakeri, Malik Boudiaf, Shakeri, Fereshteh +11 · 3 citations
    Computer Science · Medicine · #AI in cancer detection #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
  24. TFS-ViT: Token-Level Feature Stylization for Domain Generalization
    2023/03/28 by Mehrdad Noori, Noori, Mehrdad, Milad Cheraghalikhani +11 · 4 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  25. Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision
    2020/04/14 by Hoel Kervadec, Kervadec, Hoel, José Dolz +7 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Image Segmentation Techniques #Stochastic Gradient Optimization Techniques
  26. Class Adaptive Network Calibration
    2022/11/28 by Bingyuan Liu, Liu, Bingyuan, Jérôme Rony +7 · 2 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning and Data Classification
  27. Realistic Evaluation of Transductive Few-Shot Learning
    2022/04/24 by Olivier Veilleux, Malik Boudiaf, Veilleux, Olivier +5 · 2 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM
  28. Trust your neighbours: Penalty-based constraints for model calibration
    2023/03/11 by Balamurali Murugesan, Sukesh Adiga V, Murugesan, Balamurali +9 · 2 citations
    Computer Science · #Machine Learning and Data Classification #Advanced Neural Network Applications #Medical Image Segmentation Techniques
  29. Transductive Information Maximization For Few-Shot Learning
    2020/08/25 by Mohamed Amine Boudiaf, Boudiaf, Malik, Masud, Ziko Imtiaz +8 · 2 citations
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Geophysical Methods and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM
  30. Adversarial Learning of General Transformations for Data Augmentation
    2019/09/21 by Saypraseuth Mounsaveng, David Vázquez, Mounsaveng, Saypraseuth +5 · 2 citations
    Computer Science · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (stat.ML)
  31. Deep CNN ensembles and suggestive annotations for infant brain MRI\n segmentation
    2017/12/14 by José Dolz, Dolz, Jose, Christian Desrosiers +9 · 1 citation
    Computer Science · Medicine · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Neonatal and fetal brain pathology
  32. Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in\n Multiple Image Modalities
    2018/10/16 by José Dolz, Dolz, Jose, Ismail Ben Ayed +3 · 1 citation
    Computer Science · Engineering · Medicine · #Acute Ischemic Stroke Management #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Imaging and Analysis
  33. IVD-Net: Intervertebral disc localization and segmentation in MRI with a\n multi-modal UNet
    2018/11/19 by José Dolz, Christian Desrosiers, Dolz, Jose +3 · 1 citation
    Engineering · Medicine · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Imaging and Analysis #Spinal Fractures and Fixation Techniques #Spine and Intervertebral Disc Pathology
  34. Exploiting Prunability for Person Re-Identification
    2019/07/04 by Hugo Masson, Masson, Hugo, Amran Bhuiyan +11 · 1 citation
    Computer Science · #Video Surveillance and Tracking Methods #Advanced Neural Network Applications #Face recognition and analysis
  35. A Strong Baseline for Molecular Few-Shot Learning
    2024/04/02 by Philippe Formont, Formont, Philippe, Hugo Jeannin +5 · 2 citations
    Medicine · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Radiopharmaceutical Chemistry and Applications
  36. Learning Data Augmentation with Online Bilevel Optimization for Image\n Classification
    2020/06/25 by Saypraseuth Mounsaveng, Issam Laradji, Mounsaveng, Saypraseuth +7 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (stat.ML) #Machine Learning and Data Classification
  37. Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty
    2020/11/14 by Soufiane Belharbi, Jérôme Rony, Belharbi, Soufiane +9 · 1 citation
    Computer Science · Medicine · #AI in cancer detection #Radiomics and Machine Learning in Medical Imaging #Digital Imaging for Blood Diseases
  38. F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling
    2021/09/15 by Soufiane Belharbi, Aydin Sarraf, Belharbi, Soufiane +9 · 1 citation
    Computer Science · Medicine · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  39. Model-Agnostic Few-Shot Open-Set Recognition
    2022/06/18 by Malik Boudiaf, Boudiaf, Malik, Etienne Bennequin +11 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM
  40. When is an Embedding Model More Promising than Another?
    2024/06/11 by Maxime Darrin, Philippe Formont, Darrin, Maxime +7 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bioinformatics and Genomic Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  41. Realistic Test-Time Adaptation of Vision-Language Models
    2025/01/07 by Maxime Zanella, Zanella, Maxime, Clément Fuchs +5 · 3 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  42. Open-Set Likelihood Maximization for Few-Shot Learning
    2023/01/20 by Malik Boudiaf, Etienne Bennequin, Boudiaf, Malik +11 · 1 citation
    Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms
  43. TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos
    2022/08/30 by Soufiane Belharbi, Belharbi, Soufiane, Ismail Ben Ayed +5 · 1 citation
    Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Robotics and Sensor-Based Localization
  44. Task Adaptive Feature Transformation for One-Shot Learning
    2023/04/13 by Imtiaz Masud Ziko, Freddy Lécué, Ziko, Imtiaz Masud +3 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning and Data Classification
  45. Isointense Infant Brain Segmentation with a Hyper-dense Connected\n Convolutional Neural Network
    2017/10/16 by José Dolz, Ismail Ben Ayed, Dolz, Jose +5 · 2 citations
    Medicine · Computer Science · #Neonatal and fetal brain pathology #Advanced Neural Network Applications #Medical Image Segmentation Techniques
  46. Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye\n Fundus Images
    2020/10/01 by Adrián Galdrán, José Dolz, Galdran, Adrian +7 · 1 citation
    Health Professions · Medicine · #Artificial Intelligence in Healthcare #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Retinal Diseases and Treatments #Retinal Imaging and Analysis
  47. Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging
    2024/11/02 by Ali Bahri, Moslem Yazdanpanah, Bahri, Ali +16 · 4 citations
    Computer Science · Engineering · Environmental Science · #3D Shape Modeling and Analysis #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Optical measurement and interference techniques #Remote Sensing and LiDAR Applications
  48. Semantic Anchor Transport: Robust Test-Time Adaptation for Vision-Language Models
    2024/11/26 by Shambhavi Mishra, Julio Silva-Rodríguez, Mishra, Shambhavi +7 · 2 citations
    Computer Science · Social Sciences · #Text Readability and Simplification #Digital Accessibility for Disabilities #Natural Language Processing Techniques
  49. Boosting Vision-Language Models for Histopathology Classification: Predict all at once
    2024/09/03 by Maxime Zanella, Zanella, Maxime, Fereshteh Shakeri +7 · 1 citation
    Computer Science · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #FOS: Computer and information sciences
  50. Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic Segmentation
    2025/05/28 by Mehrdad Noori, David Osowiechi, Noori, Mehrdad +15 · 3 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  51. PRiSM: Prototype Regularization for Few-Shot VLMs
    2026/07/20 by Ghassen Baklouti, Omprakash Chakraborty, Jose Dolz +1
    #cs.CV