Gabriel Eilertsen

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 38

Top Venues

Linköping University, Sweden (PHD)

Education History

Linköping University, Sweden

PHD

Publications

Milda Poceviciute, Gabriel Eilertsen, Stina Garvin, Claes Lundström
Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain Distance. CoRR (2024)
Amirhossein Ahmadian, Yifan Ding, Gabriel Eilertsen, Fredrik Lindsten
Unsupervised Novelty Detection in Pretrained Representation Space with Locally Adapted Likelihood Ratio. AISTATS (2024)
Axel Gödrich, Daniel König, Gabriel Eilertsen, Michael Teutsch
Joint tone mapping and denoising of thermal infrared images via multi-scale Retinex and multi-task learning. CoRR (2023)
Milda Poceviciute, Gabriel Eilertsen, Stina Garvin, Claes Lundström
Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain Distance. MICCAI (5) (2023)
Alex Knutsson, Jakob Unnebäck, Daniel Jönsson, Gabriel Eilertsen
CDF-Based Importance Sampling and Visualization for Neural Network Training. VCBM (2023)
Param Hanji, Rafal Mantiuk, Gabriel Eilertsen, Saghi Hajisharif, Jonas Unger
Comparison of single image HDR reconstruction methods - the caveats of quality assessment. SIGGRAPH (Conference Paper Track) (2022)
Rym Jaroudi, Lukás Malý, Gabriel Eilertsen, B. Tomas Johansson, Jonas Unger, George Baravdish
Standalone Neural ODEs with Sensitivity Analysis. CoRR (2022)
George Baravdish, Gabriel Eilertsen, Rym Jaroudi, B. Tomas Johansson, Lukás Malý, Jonas Unger
Learning via nonlinear conjugate gradients and depth-varying neural ODEs. CoRR (2022)
Milda Poceviciute, Gabriel Eilertsen, Sofia Jarkman, Claes Lundström
Can uncertainty boost the reliability of AI-based diagnostic methods in digital pathology? CoRR (2021)
Gabriel Eilertsen, Saghi Hajisharif, Param Hanji, Apostolia Tsirikoglou, Rafal K. Mantiuk, Jonas Unger
How to cheat with metrics in single-image HDR reconstruction. ICCVW (2021)
Apostolia Tsirikoglou, Karin Stacke, Gabriel Eilertsen, Jonas Unger
Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection. CoRR (2021)
Gabriel Eilertsen, Saghi Hajisharif, Param Hanji, Apostolia Tsirikoglou, Rafal K. Mantiuk, Jonas Unger
How to cheat with metrics in single-image HDR reconstruction. CoRR (2021)
Milda Poceviciute, Gabriel Eilertsen, Claes Lundström
Unsupervised anomaly detection in digital pathology using GANs. CoRR (2021)
Milda Poceviciute, Gabriel Eilertsen, Claes Lundström
Unsupervised Anomaly Detection In Digital Pathology Using GANs. ISBI (2021)
Karin Stacke, Jonas Unger, Claes Lundström, Gabriel Eilertsen
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications. CoRR (2021)
Gabriel Eilertsen, Apostolia Tsirikoglou, Claes Lundström, Jonas Unger
Ensembles of GANs for synthetic training data generation. CoRR (2021)
Karin Stacke, Gabriel Eilertsen, Jonas Unger, Claes Lundström
Measuring Domain Shift for Deep Learning in Histopathology. IEEE J. Biomed. Health Informatics 25 (2) (2021)
Apostolia Tsirikoglou, Karin Stacke, Gabriel Eilertsen, Jonas Unger
Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection. MICCAI (5) (2021)
Karin Stacke, Claes Lundström, Gabriel Eilertsen
Evaluation of Contrastive Predictive Coding for Histopathology Applications. ML4H@NeurIPS (2020)
Apostolia Tsirikoglou, Karin Stacke, Gabriel Eilertsen, Martin Lindvall, Jonas Unger
A Study of Deep Learning Colon Cancer Detection in Limited Data Access Scenarios. CoRR (2020)
Daniel Jönsson, Gabriel Eilertsen, Hezi Shi, Jianmin Zheng, Anders Ynnerman, Jonas Unger
Visual Analysis of the Impact of Neural Network Hyper-Parameters. MLVis@Eurographics/EuroVis (2020)
Apostolia Tsirikoglou, Gabriel Eilertsen, Jonas Unger
A Survey of Image Synthesis Methods for Visual Machine Learning. Comput. Graph. Forum 39 (6) (2020)
Milda Poceviciute, Gabriel Eilertsen, Claes Lundström
Survey of XAI in digital pathology. CoRR (2020)
Gabriel Eilertsen, Daniel Jönsson, Timo Ropinski, Jonas Unger, Anders Ynnerman
Classifying the classifier: dissecting the weight space of neural networks. CoRR (2020)
Gabriel Eilertsen, Daniel Jönsson, Timo Ropinski, Jonas Unger, Anders Ynnerman
Classifying the Classifier: Dissecting the Weight Space of Neural Networks. ECAI (2020)
Michael Teutsch, Simone Sedelmaier, Sebastian Moosbauer, Gabriel Eilertsen, Thomas Walter
An Evaluation of Objective Image Quality Assessment for Thermal Infrared Video Tone Mapping. CVPR Workshops (2020)
Gabriel Eilertsen, Rafal K. Mantiuk, Jonas Unger
Single-Frame Regularization for Temporally Stable CNNs. CVPR (2019)
Karin Stacke, Gabriel Eilertsen, Jonas Unger, Claes Lundström
A Closer Look at Domain Shift for Deep Learning in Histopathology. CoRR (2019)
Gabriel Eilertsen, Rafal K. Mantiuk, Jonas Unger
Single-frame Regularization for Temporally Stable CNNs. CoRR (2019)
Gabriel Eilertsen, Rafal Mantiuk, Jonas Unger
A comparative review of tone-mapping algorithms for high dynamic range video. Comput. Graph. Forum 36 (2) (2017)
Gabriel Eilertsen, Joel Kronander, Gyorgy Denes, Rafal K. Mantiuk, Jonas Unger
HDR image reconstruction from a single exposure using deep CNNs. ACM Trans. Graph. 36 (6) (2017)
Gabriel Eilertsen, Per-Erik Forssén, Jonas Unger
BriefMatch: Dense Binary Feature Matching for Real-Time Optical Flow Estimation. SCIA (1) (2017)
Gabriel Eilertsen, Joel Kronander, Gyorgy Denes, Rafal K. Mantiuk, Jonas Unger
HDR image reconstruction from a single exposure using deep CNNs. CoRR (2017)
Gabriel Eilertsen, Rafal K. Mantiuk, Jonas Unger
A high dynamic range video codec optimized by large-scale testing. ICIP (2016)
Gabriel Eilertsen, Rafal K. Mantiuk, Jonas Unger
Luma HDRv: an open source high dynamic range video codec optimized by large-scale testing. SIGGRAPH Talks (2016)
Jonas Unger, Francesco Banterle, Gabriel Eilertsen, Rafal K. Mantiuk
The HDR-video Pipeline. Eurographics (Tutorials) (2016)
Gabriel Eilertsen, Rafal K. Mantiuk, Jonas Unger
Real-time noise-aware tone-mapping and its use in luminance retargeting. ICIP (2016)
Gabriel Eilertsen, Rafal K. Mantiuk, Jonas Unger
Real-time noise-aware tone mapping. ACM Trans. Graph. 34 (6) (2015)
Gabriel Eilertsen, Jonas Unger, Robert Wanat, Rafal Mantiuk
Perceptually based parameter adjustments for video processing operations. SIGGRAPH Talks (2014)
Gabriel Eilertsen, Robert Wanat, Rafal K. Mantiuk, Jonas Unger
Evaluation of Tone Mapping Operators for HDR-Video. Comput. Graph. Forum 32 (7) (2013)
Gabriel Eilertsen, Jonas Unger, Robert Wanat, Rafal Mantiuk
Survey and evaluation of tone mapping operators for HDR video. SIGGRAPH Talks (2013)
Gabriel Eilertsen, Per Larsson, Jonas Unger
A versatile material reflectance measurement system for use in production. SIGRAD (2011)

Gabriel Eilertsen.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Gabriel Eilertsen