Thiran, Jean-Philippe
- FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents
2019/05/27 by Jaume, Guillaume, Ekenel, Hazim Kemal, Thiran, Jean-Philippe · 36 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network
2018/06/14 by Mahapatra, Dwarikanath, Bozorgtabar, Behzad, Thiran, Jean-Philippe +1 · 6 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- What to align in multimodal contrastive learning?
2024/09/11 by Dufumier, Benoit, Castillo-Navarro, Javiera, Tuia, Devis +1 · 16 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for\n Histopathological Image Classification
2020/07/01 by Pushpak Pati, Pati, Pushpak, Guillaume Jaume +29 · 6 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #AI in cancer detection #Biomedical Text Mining and Ontologies #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques
- SROBB: Targeted Perceptual Loss for Single Image Super-Resolution
2019/08/20 by Rad, Mohammad Saeed, Bozorgtabar, Behzad, Marti, Urs-Viktor +3 · 5 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Hierarchical Graph Representations in Digital Pathology
2021/02/22 by Pati, Pushpak, Jaume, Guillaume, Foncubierta, Antonio +14 · 5 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- CrOC: Cross-View Online Clustering for Dense Visual Representation Learning
2023/03/23 by Stegmüller, Thomas, Lebailly, Tim, Bozorgtabar, Behzad +2 · 4 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation
2023/03/17 by Devavrat Tomar, Guillaume Vray, Tomar, Devavrat +5 · 3 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 #Thermal Regulation in Medicine
- Learning Whole-Slide Segmentation from Inexact and Incomplete Labels\n using Tissue Graphs
2021/03/04 by Valentin Anklin, Pushpak Pati, Anklin, Valentin +15 · 2 citations
Computer Science · Medicine · #AI in cancer detection #Radiomics and Machine Learning in Medical Imaging #Digital Imaging for Blood Diseases
- Quantifying Explainers of Graph Neural Networks in Computational Pathology
2020/11/25 by Jaume, Guillaume, Pati, Pushpak, Bozorgtabar, Behzad +7 · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Neural Implicit Dense Semantic SLAM
2023/04/27 by Yasaman Haghighi, Haghighi, Yasaman, Suryansh Kumar +5 · 2 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 #Robotics and Sensor-Based Localization
- CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping
2023/10/11 by Lebailly, Tim, Stegmüller, Thomas, Bozorgtabar, Behzad +2 · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- A comprehensive error rate for multiple testing
2011/12/19 by Djalel Eddine Meskaldji, Dimitri Van De Ville, Meskaldji, Djalel Eddine +5 · 2 citations
Mathematics · Decision Sciences · #Statistical Methods in Clinical Trials #Optimal Experimental Design Methods #Statistical Methods and Inference
- Self-Rule to Multi-Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection
2021/08/20 by Christian Abbet, Abbet, Christian, Linda Studer +11 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · #AI in cancer detection #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
- ScoreNet: Learning Non-Uniform Attention and Augmentation for\n Transformer-Based Histopathological Image Classification
2022/02/15 by Thomas Stegmüller, Behzad Bozorgtabar, Stegmüller, Thomas +5 · 1 citation
Computer Science · Engineering · #AI in cancer detection #Digital Imaging for Blood Diseases #Medical Imaging and Analysis
- Adaptive Similarity Bootstrapping for Self-Distillation based Representation Learning
2023/03/23 by Lebailly, Tim, Stegmüller, Thomas, Bozorgtabar, Behzad +2 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: emerging machine learning techniques and future avenues
2022/01/19 by Francesco La Rosa, Maxence Wynen, La Rosa, Francesco +25 · 1 citation
Medicine · #Multiple Sclerosis Research Studies
- Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation
2024/01/16 by Devavrat Tomar, Guillaume Vray, Tomar, Devavrat +5 · 1 citation
Engineering · Biochemistry, Genetics and Molecular Biology · Computer Science · #Microfluidic and Capillary Electrophoresis Applications #Cancer-related molecular mechanisms research #Machine Learning and ELM
- A Simple Framework for Open-Vocabulary Zero-Shot Segmentation
2024/06/23 by Thomas Stegmüller, Tim Lebailly, Stegmüller, Thomas +9 · 1 citation
Materials Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Nuclear Materials and Properties