Gabriel Eilertsen
Title
Cited by
Cited by
Year
HDR image reconstruction from a single exposure using deep CNNs
G Eilertsen, J Kronander, G Denes, RK Mantiuk, J Unger
ACM transactions on graphics (TOG) 36 (6), 1-15, 2017
2232017
Evaluation of tone mapping operators for HDR-video
G Eilertsen, R Wanat, J Unger, RK Mantiuk
Computer Graphics Forum (Proceedings of Pacific Graphics 2013) 32 (7), 275-284, 2013
1202013
A comparative review of tone-mapping algorithms for high dynamic range video
G Eilertsen, RK Mantiuk, J Unger
Computer Graphics Forum (Proceedings of Eurographics 2017) 36 (2), 2017
742017
Real-time noise-aware tone mapping
G Eilertsen, RK Mantiuk, J Unger
ACM Transactions on Graphics (TOG) 34 (6), 2015
632015
Survey and evaluation of tone mapping operators for HDR video
G Eilertsen, J Unger, R Wanat, R Mantiuk
ACM SIGGRAPH 2013 Talks, 1-1, 2013
222013
A closer look at domain shift for deep learning in histopathology
K Stacke, G Eilertsen, J Unger, C Lundström
arXiv preprint arXiv:1909.11575, 2019
142019
A high dynamic range video codec optimized by large-scale testing
G Eilertsen, RK Mantiuk, J Unger
IEEE International Conference on Image Processing (ICIP), 1379-1383, 2016
112016
Single-frame regularization for temporally stable cnns
G Eilertsen, RK Mantiuk, J Unger
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
102019
Measuring Domain Shift for Deep Learning in Histopathology
K Stacke, G Eilertsen, J Unger, C Lundstrom
IEEE journal of biomedical and health informatics, 2020
62020
BriefMatch: Dense binary feature matching for real-time optical flow estimation
G Eilertsen, PE Forssén, J Unger
Scandinavian Conference on Image Analysis (SCIA17), 2017
62017
A versatile material reflectance measurement system for use in production
G Eilertsen, P Larsson, J Unger
SIGRAD, 69-76, 2011
62011
The high dynamic range imaging pipeline: Tone-mapping, distribution, and single-exposure reconstruction
G Eilertsen
Linköping University Electronic Press, 2018
42018
Survey of XAI in digital pathology
M Pocevičiūtė, G Eilertsen, C Lundström
Artificial Intelligence and Machine Learning for Digital Pathology, 56-88, 2020
3*2020
Perceptually based parameter adjustments for video processing operations
G Eilertsen, J Unger, R Wanat, R Mantiuk
ACM SIGGRAPH 2014 Talks, 1-1, 2014
32014
A survey of image synthesis methods for visual machine learning
A Tsirikoglou, G Eilertsen, J Unger
Computer Graphics Forum 39 (6), 426-451, 2020
22020
Classifying the classifier: dissecting the weight space of neural networks
G Eilertsen, D Jönsson, T Ropinski, J Unger, A Ynnerman
arXiv preprint arXiv:2002.05688, 2020
22020
Luma HDRv: an open source high dynamic range video codec optimized by large-scale testing
G Eilertsen, RK Mantiuk, J Unger
ACM SIGGRAPH 2016 Talks, 17, 2016
22016
A Study of Deep Learning Colon Cancer Detection in Limited Data Access Scenarios
A Tsirikoglou, K Stacke, G Eilertsen, M Lindvall, J Unger
arXiv preprint arXiv:2005.10326, 2020
12020
The HDR-video pipeline: From capture and image reconstruction to compression and tone mapping
J Unger, F Banterle, R Mantiuk, G Eilertsen
Eurographics 2016, May 9, Lisbon, Portugal, 1-6, 2016
12016
Real-time noise-aware tone-mapping and its use in luminance retargeting
G Eilertsen, RK Mantiuk, J Unger
IEEE International Conference on Image Processing (ICIP), 894-898, 2016
12016
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