Pablo Márquez-Neila

1. Imposing Hard Constraints on Deep Networks: Promises and Limitations
   2017/06/07 by Pablo Márquez-Neila, Márquez-Neila, Pablo, Mathieu Salzmann +3 · 11 citations
   Computer Science · #Human Pose and Action Recognition #Neural Networks and Applications #Constraint Satisfaction and Optimization
2. Stochastic Segmentation with Conditional Categorical Diffusion Models
   2023/03/15 by Lukas Zbinden, Lars Doorenbos, Zbinden, Lukas +9 · 6 citations
   Computer Science · Medicine · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #COVID-19 diagnosis using AI
3. Beyond the Pixel-Wise Loss for Topology-Aware Delineation
   2017/12/06 by Agata Mosinska, Pablo Márquez-Neila, Mosinska, Agata +5 · 3 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #AI in cancer detection #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #FOS: Computer and information sciences
4. Consistency-preserving Visual Question Answering in Medical Imaging
   2022/06/27 by Sergio Tascon-Morales, Tascon-Morales, Sergio, Pablo Márquez-Neila +3 · 1 citation
   Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
5. Non-Linear Outlier Synthesis for Out-of-Distribution Detection
   2024/11/20 by Lars Doorenbos, Doorenbos, Lars, Raphael Sznitman +3 · 1 citation
   Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Fault Detection and Control Systems #Digital Media Forensic Detection
6. Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation
   2024/12/09 by Fei Wu, Wu, Fei, Pablo Márquez-Neila +5 · 1 citation
   Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification