Carola-Bibiane Schönlieb, University of Cambridge

Prof. Schönlieb & Mrs Panayotova | Re-Constructing Illuminated Manuscripts and PaintingsПодробнее

Prof. Schönlieb & Mrs Panayotova | Re-Constructing Illuminated Manuscripts and Paintings

HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate SegmentationПодробнее

HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation

IADF School 2022: Learning with Zero/Few LabelsПодробнее

IADF School 2022: Learning with Zero/Few Labels

AIM Seminars 2022: Carola-Bibiane SchönliebПодробнее

AIM Seminars 2022: Carola-Bibiane Schönlieb

Cambridge Perspectives: Applying Mathematics to HealthcareПодробнее

Cambridge Perspectives: Applying Mathematics to Healthcare

Mathematical Imaging: From Geometric PDEs and Variational Modeling to Deep Learning for ImagesПодробнее

Mathematical Imaging: From Geometric PDEs and Variational Modeling to Deep Learning for Images

Carola-Bibiane Schönlieb : Inverse Problems in Imaging: From Differential Equations to Deep LearningПодробнее

Carola-Bibiane Schönlieb : Inverse Problems in Imaging: From Differential Equations to Deep Learning

Women of Mathematics: Carola-Bibiane SchönliebПодробнее

Women of Mathematics: Carola-Bibiane Schönlieb

EMS Women in Mathematics Day 2024: Carola Bibiane SchönliebПодробнее

EMS Women in Mathematics Day 2024: Carola Bibiane Schönlieb

Prof. John Aston & Prof. Carola-Bibiane Schönlieb | Welcome and IntroductionПодробнее

Prof. John Aston & Prof. Carola-Bibiane Schönlieb | Welcome and Introduction

Stochastics and Statistics Seminar - Carola-Bibiane SchönliebПодробнее

Stochastics and Statistics Seminar - Carola-Bibiane Schönlieb

Carola Schönlieb, Cambridge: Hybrid mathematical and ML methods for solving inverse imaging problemsПодробнее

Carola Schönlieb, Cambridge: Hybrid mathematical and ML methods for solving inverse imaging problems

The MACH 2020 Annual Symposium - IntroductionПодробнее

The MACH 2020 Annual Symposium - Introduction

iUNets: Fully-invertible U-Nets for Memory-Constrained Applications (C. Etmann et al.)Подробнее

iUNets: Fully-invertible U-Nets for Memory-Constrained Applications (C. Etmann et al.)

From differential equations to deep learning for image analysisПодробнее

From differential equations to deep learning for image analysis

Data-driven regularisation for solving inverse problems - Carola-Bibiane Schönlieb, Turing/CambridgeПодробнее

Data-driven regularisation for solving inverse problems - Carola-Bibiane Schönlieb, Turing/Cambridge

LMS-Bath Symposium 2020, Carola-Bibiane SchönliebПодробнее

LMS-Bath Symposium 2020, Carola-Bibiane Schönlieb

International Zoom Inverse Problems Seminar, Feb 18, 2021, Carola-Bibiane Schönlieb (Cambridge)Подробнее

International Zoom Inverse Problems Seminar, Feb 18, 2021, Carola-Bibiane Schönlieb (Cambridge)

LMS-Bath Symposium 2020, Public Lecture, Carola-Bibiane SchönliebПодробнее

LMS-Bath Symposium 2020, Public Lecture, Carola-Bibiane Schönlieb

31/Jul - 14:00, Carola-Bibiane Schönlieb (Cambridge University, UK)Подробнее

31/Jul - 14:00, Carola-Bibiane Schönlieb (Cambridge University, UK)