Gabriel Eilertsen

According to our database, Gabriel Eilertsen authored at least 35 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Joint tone mapping and denoising of thermal infrared images via multi-scale Retinex and multi-task learning.

Axel Gödrich, Daniel König, Gabriel Eilertsen, Michael Teutsch

CoRR, 2023

Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain Distance.

Milda Poceviciute, Gabriel Eilertsen, Stina Garvin, Claes Lundström

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Standalone Neural ODEs with Sensitivity Analysis.

Rym Jaroudi, Lukás Malý, Gabriel Eilertsen, B. Tomas Johansson, Jonas Unger, George Baravdish

CoRR, 2022

Learning via nonlinear conjugate gradients and depth-varying neural ODEs.

George Baravdish, Gabriel Eilertsen, Rym Jaroudi, B. Tomas Johansson, Lukás Malý, Jonas Unger

CoRR, 2022

Comparison of single image HDR reconstruction methods - the caveats of quality assessment.

Param Hanji, Rafal Mantiuk, Gabriel Eilertsen, Saghi Hajisharif, Jonas Unger

Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022

2021

Measuring Domain Shift for Deep Learning in Histopathology.

Karin Stacke, Gabriel Eilertsen, Jonas Unger, Claes Lundström

IEEE J. Biomed. Health Informatics, 2021

Can uncertainty boost the reliability of AI-based diagnostic methods in digital pathology?

Milda Poceviciute, Gabriel Eilertsen, Sofia Jarkman, Claes Lundström

CoRR, 2021

Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications.

Karin Stacke, Jonas Unger, Claes Lundström, Gabriel Eilertsen

CoRR, 2021

Ensembles of GANs for synthetic training data generation.

Gabriel Eilertsen, Apostolia Tsirikoglou, Claes Lundström, Jonas Unger

CoRR, 2021

Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection.

Apostolia Tsirikoglou, Karin Stacke, Gabriel Eilertsen, Jonas Unger

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Unsupervised Anomaly Detection In Digital Pathology Using GANs.

Milda Poceviciute, Gabriel Eilertsen, Claes Lundström

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

How to cheat with metrics in single-image HDR reconstruction.

Gabriel Eilertsen, Saghi Hajisharif, Param Hanji, Apostolia Tsirikoglou, Rafal K. Mantiuk, Jonas Unger

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Survey of XAI in Digital Pathology.

Milda Poceviciute, Gabriel Eilertsen, Claes Lundström

AI and ML for Digital Pathology, 2020

Survey of XAI in digital pathology.

Milda Poceviciute, Gabriel Eilertsen, Claes Lundström

CoRR, 2020

A Study of Deep Learning Colon Cancer Detection in Limited Data Access Scenarios.

Apostolia Tsirikoglou, Karin Stacke, Gabriel Eilertsen, Martin Lindvall, Jonas Unger

CoRR, 2020

A Survey of Image Synthesis Methods for Visual Machine Learning.

Apostolia Tsirikoglou, Gabriel Eilertsen, Jonas Unger

Comput. Graph. Forum, 2020

Evaluation of Contrastive Predictive Coding for Histopathology Applications.

Karin Stacke, Claes Lundström, Gabriel Eilertsen

Proceedings of the Machine Learning for Health Workshop, 2020

Visual Analysis of the Impact of Neural Network Hyper-Parameters.

Daniel Jönsson, Gabriel Eilertsen, Hezi Shi, Jianmin Zheng, Anders Ynnerman, Jonas Unger

Proceedings of the 3rd Workshop on Machine Learning Methods in Visualisation for Big Data, 2020

Classifying the Classifier: Dissecting the Weight Space of Neural Networks.

Gabriel Eilertsen, Daniel Jönsson, Timo Ropinski, Jonas Unger, Anders Ynnerman

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

An Evaluation of Objective Image Quality Assessment for Thermal Infrared Video Tone Mapping.

Michael Teutsch, Simone Sedelmaier, Sebastian Moosbauer, Gabriel Eilertsen, Thomas Walter

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

A Closer Look at Domain Shift for Deep Learning in Histopathology.

Karin Stacke, Gabriel Eilertsen, Jonas Unger, Claes Lundström

CoRR, 2019

Single-Frame Regularization for Temporally Stable CNNs.

Gabriel Eilertsen, Rafal K. Mantiuk, Jonas Unger

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

The high dynamic range imaging pipeline: Tone-mapping, distribution, and single-exposure reconstruction.

Gabriel Eilertsen

PhD thesis, 2018

2017

HDR image reconstruction from a single exposure using deep CNNs.

Gabriel Eilertsen, Joel Kronander, Gyorgy Denes, Rafal K. Mantiuk, Jonas Unger

ACM Trans. Graph., 2017

A comparative review of tone-mapping algorithms for high dynamic range video.

Gabriel Eilertsen, Rafal Mantiuk, Jonas Unger

Comput. Graph. Forum, 2017

BriefMatch: Dense Binary Feature Matching for Real-Time Optical Flow Estimation.

Gabriel Eilertsen, Per-Erik Forssén, Jonas Unger

Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

2016

Luma HDRv: an open source high dynamic range video codec optimized by large-scale testing.

Gabriel Eilertsen, Rafal K. Mantiuk, Jonas Unger

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2016

A high dynamic range video codec optimized by large-scale testing.

Gabriel Eilertsen, Rafal K. Mantiuk, Jonas Unger

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Real-time noise-aware tone-mapping and its use in luminance retargeting.

Gabriel Eilertsen, Rafal K. Mantiuk, Jonas Unger

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

The HDR-video Pipeline.

Jonas Unger, Francesco Banterle, Gabriel Eilertsen, Rafal K. Mantiuk

Proceedings of the 37th Annual Conference of the European Association for Computer Graphics, 2016

2015

Real-time noise-aware tone mapping.

Gabriel Eilertsen, Rafal K. Mantiuk, Jonas Unger

ACM Trans. Graph., 2015

2014

Perceptually based parameter adjustments for video processing operations.

Gabriel Eilertsen, Jonas Unger, Robert Wanat, Rafal Mantiuk

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2014

2013

Evaluation of Tone Mapping Operators for HDR-Video.

Gabriel Eilertsen, Robert Wanat, Rafal K. Mantiuk, Jonas Unger

Comput. Graph. Forum, 2013

Survey and evaluation of tone mapping operators for HDR video.

Gabriel Eilertsen, Jonas Unger, Robert Wanat, Rafal Mantiuk

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2013

2011

A versatile material reflectance measurement system for use in production.

Gabriel Eilertsen, Per Larsson, Jonas Unger

Proceedings of SIGRAD 2011. Evaluations of Graphics and Visualization, 2011