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ORCIDGabriel Eilertsen
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2020 – today
- 2024
[c22]Amirhossein Ahmadian, Yifan Ding, Gabriel Eilertsen, Fredrik Lindsten:
Unsupervised Novelty Detection in Pretrained Representation Space with Locally Adapted Likelihood Ratio. AISTATS 2024: 874-882- [c21]Apostolia Tsirikoglou, Marcus Gladh, Daniel Sahlin, Gabriel Eilertsen, Jonas Unger:
Generative inter-class transformations for imbalanced data weather classification. LIM 2024: 16-20 - [i16]Milda Poceviciute, Gabriel Eilertsen, Stina Garvin, Claes Lundström:
Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain Distance. CoRR abs/2405.09934 (2024) - 2023
- [c20]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: 157-167 - [c19]Milda Poceviciute, Gabriel Eilertsen, Claes Lundström:
Spatial uncertainty aggregation for false negatives detection in breast cancer metastases segmentation. Digital and Computational Pathology 2023 - [c18]Alex Knutsson, Jakob Unnebäck, Daniel Jönsson, Gabriel Eilertsen:
CDF-Based Importance Sampling and Visualization for Neural Network Training. VCBM 2023: 51-55 - [i15]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 abs/2305.00691 (2023) - 2022
- [c17]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: 1:1-1:8 - [i14]George Baravdish, Gabriel Eilertsen, Rym Jaroudi, B. Tomas Johansson, Lukás Malý, Jonas Unger:
Learning via nonlinear conjugate gradients and depth-varying neural ODEs. CoRR abs/2202.05766 (2022) - [i13]Rym Jaroudi, Lukás Malý, Gabriel Eilertsen, B. Tomas Johansson, Jonas Unger, George Baravdish:
Standalone Neural ODEs with Sensitivity Analysis. CoRR abs/2205.13933 (2022) - 2021
- [j6]Karin Stacke, Gabriel Eilertsen, Jonas Unger, Claes Lundström:
Measuring Domain Shift for Deep Learning in Histopathology. IEEE J. Biomed. Health Informatics 25(2): 325-336 (2021) - [c16]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: 3981-3990 - [c15]Milda Poceviciute, Gabriel Eilertsen, Claes Lundström:
Unsupervised Anomaly Detection In Digital Pathology Using GANs. ISBI 2021: 1878-1882 - [c14]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: 624-633 - [i12]Milda Poceviciute, Gabriel Eilertsen, Claes Lundström:
Unsupervised anomaly detection in digital pathology using GANs. CoRR abs/2103.08945 (2021) - [i11]Gabriel Eilertsen, Apostolia Tsirikoglou, Claes Lundström, Jonas Unger:
Ensembles of GANs for synthetic training data generation. CoRR abs/2104.11797 (2021) - [i10]Gabriel Eilertsen, Saghi Hajisharif, Param Hanji, Apostolia Tsirikoglou, Rafal K. Mantiuk, Jonas Unger:
How to cheat with metrics in single-image HDR reconstruction. CoRR abs/2108.08713 (2021) - [i9]Apostolia Tsirikoglou, Karin Stacke, Gabriel Eilertsen, Jonas Unger:
Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection. CoRR abs/2109.09518 (2021) - [i8]Karin Stacke, Jonas Unger, Claes Lundström, Gabriel Eilertsen:
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications. CoRR abs/2112.05760 (2021) - [i7]Milda Poceviciute, Gabriel Eilertsen, Sofia Jarkman, Claes Lundström:
Can uncertainty boost the reliability of AI-based diagnostic methods in digital pathology? CoRR abs/2112.09693 (2021) - 2020
- [j5]Apostolia Tsirikoglou, Gabriel Eilertsen, Jonas Unger:
A Survey of Image Synthesis Methods for Visual Machine Learning. Comput. Graph. Forum 39(6): 426-451 (2020) - [c13]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: 488-497 - [c12]Gabriel Eilertsen, Daniel Jönsson, Timo Ropinski, Jonas Unger, Anders Ynnerman:
Classifying the Classifier: Dissecting the Weight Space of Neural Networks. ECAI 2020: 1119-1126 - [c11]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: 13-17 - [c10]Karin Stacke, Claes Lundström, Gabriel Eilertsen:
Evaluation of Contrastive Predictive Coding for Histopathology Applications. ML4H@NeurIPS 2020: 328-340 - [p1]Milda Poceviciute, Gabriel Eilertsen, Claes Lundström:
Survey of XAI in Digital Pathology. AI and ML for Digital Pathology 2020: 56-88 - [e1]Tobias Ritschel, Gabriel Eilertsen:
41st Annual Conference of the European Association for Computer Graphics, Eurographics 2020 - Posters, Norrköping, Sweden, May 25-29, 2020 [online only]. Eurographics Association 2020, ISBN 978-3-03868-104-5 [contents] - [i6]Gabriel Eilertsen, Daniel Jönsson, Timo Ropinski, Jonas Unger, Anders Ynnerman:
Classifying the classifier: dissecting the weight space of neural networks. CoRR abs/2002.05688 (2020) - [i5]Apostolia Tsirikoglou, Karin Stacke, Gabriel Eilertsen, Martin Lindvall, Jonas Unger:
A Study of Deep Learning Colon Cancer Detection in Limited Data Access Scenarios. CoRR abs/2005.10326 (2020) - [i4]Milda Poceviciute, Gabriel Eilertsen, Claes Lundström:
Survey of XAI in digital pathology. CoRR abs/2008.06353 (2020)
2010 – 2019
- 2019
- [c9]Gabriel Eilertsen, Rafal K. Mantiuk, Jonas Unger:
Single-Frame Regularization for Temporally Stable CNNs. CVPR 2019: 11176-11185 - [i3]Gabriel Eilertsen, Rafal K. Mantiuk, Jonas Unger:
Single-frame Regularization for Temporally Stable CNNs. CoRR abs/1902.10424 (2019) - [i2]Karin Stacke, Gabriel Eilertsen, Jonas Unger, Claes Lundström:
A Closer Look at Domain Shift for Deep Learning in Histopathology. CoRR abs/1909.11575 (2019) - 2018
- [b1]Gabriel Eilertsen:
The high dynamic range imaging pipeline: Tone-mapping, distribution, and single-exposure reconstruction. Linköping University, Sweden, 2018 - 2017
- [j4]Gabriel Eilertsen, Rafal Mantiuk, Jonas Unger:
A comparative review of tone-mapping algorithms for high dynamic range video. Comput. Graph. Forum 36(2): 565-592 (2017) - [j3]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): 178:1-178:15 (2017) - [c8]Gabriel Eilertsen, Per-Erik Forssén, Jonas Unger:
BriefMatch: Dense Binary Feature Matching for Real-Time Optical Flow Estimation. SCIA (1) 2017: 221-233 - [i1]Gabriel Eilertsen, Joel Kronander, Gyorgy Denes, Rafal K. Mantiuk, Jonas Unger:
HDR image reconstruction from a single exposure using deep CNNs. CoRR abs/1710.07480 (2017) - 2016
- [c7]Jonas Unger, Francesco Banterle, Gabriel Eilertsen, Rafal K. Mantiuk:
The HDR-video Pipeline. Eurographics (Tutorials) 2016 - [c6]Gabriel Eilertsen, Rafal K. Mantiuk, Jonas Unger:
Real-time noise-aware tone-mapping and its use in luminance retargeting. ICIP 2016: 894-898 - [c5]Gabriel Eilertsen, Rafal K. Mantiuk, Jonas Unger:
A high dynamic range video codec optimized by large-scale testing. ICIP 2016: 1379-1383 - [c4]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: 17:1-17:2 - 2015
- [j2]Gabriel Eilertsen, Rafal K. Mantiuk, Jonas Unger:
Real-time noise-aware tone mapping. ACM Trans. Graph. 34(6): 198:1-198:15 (2015) - 2014
- [c3]Gabriel Eilertsen, Jonas Unger, Robert Wanat, Rafal Mantiuk:
Perceptually based parameter adjustments for video processing operations. SIGGRAPH Talks 2014: 74:1 - 2013
- [j1]Gabriel Eilertsen, Robert Wanat, Rafal K. Mantiuk, Jonas Unger:
Evaluation of Tone Mapping Operators for HDR-Video. Comput. Graph. Forum 32(7): 275-284 (2013) - [c2]Gabriel Eilertsen, Jonas Unger, Robert Wanat, Rafal Mantiuk:
Survey and evaluation of tone mapping operators for HDR video. SIGGRAPH Talks 2013: 11:1 - 2011
- [c1]Gabriel Eilertsen, Per Larsson, Jonas Unger:
A versatile material reflectance measurement system for use in production. SIGRAD 2011: 69-76
Coauthor Index
aka: Rafal K. Mantiuk
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