Gabriel Eilertsen

Orcid: 0000-0002-9217-9997

According to our database1, Gabriel Eilertsen authored at least 39 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Unsupervised Novelty Detection in Pretrained Representation Space with Locally Adapted Likelihood Ratio.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Joint tone mapping and denoising of thermal infrared images via multi-scale Retinex and multi-task learning.
CoRR, 2023

CDF-Based Importance Sampling and Visualization for Neural Network Training.
Proceedings of the VCBM 2023: Eurographics Workshop on Visual Computing for Biology and Medicine, 2023

Spatial uncertainty aggregation for false negatives detection in breast cancer metastases segmentation.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain Distance.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Standalone Neural ODEs with Sensitivity Analysis.
CoRR, 2022

Learning via nonlinear conjugate gradients and depth-varying neural ODEs.
CoRR, 2022

Comparison of single image HDR reconstruction methods - the caveats of quality assessment.
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.
IEEE J. Biomed. Health Informatics, 2021

Can uncertainty boost the reliability of AI-based diagnostic methods in digital pathology?
CoRR, 2021

Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications.
CoRR, 2021

Ensembles of GANs for synthetic training data generation.
CoRR, 2021

Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Generative inter-class transformations for imbalanced data weather classification.
Proceedings of the London Imaging Meeting: Imaging for Deep Learning, 2021

Unsupervised Anomaly Detection In Digital Pathology Using GANs.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

How to cheat with metrics in single-image HDR reconstruction.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
Survey of XAI in Digital Pathology.
AI and ML for Digital Pathology, 2020

Survey of XAI in digital pathology.
CoRR, 2020

A Study of Deep Learning Colon Cancer Detection in Limited Data Access Scenarios.
CoRR, 2020

A Survey of Image Synthesis Methods for Visual Machine Learning.
Comput. Graph. Forum, 2020

Evaluation of Contrastive Predictive Coding for Histopathology Applications.
Proceedings of the Machine Learning for Health Workshop, 2020

Visual Analysis of the Impact of Neural Network Hyper-Parameters.
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.
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.
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.
CoRR, 2019

Single-Frame Regularization for Temporally Stable CNNs.
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.
PhD thesis, 2018

2017
HDR image reconstruction from a single exposure using deep CNNs.
ACM Trans. Graph., 2017

A comparative review of tone-mapping algorithms for high dynamic range video.
Comput. Graph. Forum, 2017

BriefMatch: Dense Binary Feature Matching for Real-Time Optical Flow Estimation.
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.
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.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Real-time noise-aware tone-mapping and its use in luminance retargeting.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

The HDR-video Pipeline.
Proceedings of the 37th Annual Conference of the European Association for Computer Graphics, 2016

2015
Real-time noise-aware tone mapping.
ACM Trans. Graph., 2015

2014
Perceptually based parameter adjustments for video processing operations.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2014

2013
Evaluation of Tone Mapping Operators for HDR-Video.
Comput. Graph. Forum, 2013

Survey and evaluation of tone mapping operators for HDR video.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2013

2011
A versatile material reflectance measurement system for use in production.
Proceedings of SIGRAD 2011. Evaluations of Graphics and Visualization, 2011


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