| 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 | 443 | 2017 |
| 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 | 149 | 2013 |
| Measuring domain shift for deep learning in histopathology K Stacke, G Eilertsen, J Unger, C Lundström IEEE journal of biomedical and health informatics 25 (2), 325-336, 2020 | 136 | 2020 |
| 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 | 107 | 2017 |
| Real-time noise-aware tone mapping G Eilertsen, RK Mantiuk, J Unger ACM Transactions on Graphics (TOG) 34 (6), 2015 | 80 | 2015 |
| Survey of XAI in digital pathology M Pocevičiūtė, G Eilertsen, C Lundström Artificial intelligence and machine learning for digital pathology: state-of …, 2020 | 35 | 2020 |
| A survey of image synthesis methods for visual machine learning A Tsirikoglou, G Eilertsen, J Unger Computer Graphics Forum 39 (6), 426-451, 2020 | 29 | 2020 |
| 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 | 27 | 2019 |
| 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 | 27 | 2013 |
| Learning representations with contrastive self-supervised learning for histopathology applications K Stacke, J Unger, C Lundström, G Eilertsen arXiv preprint arXiv:2112.05760, 2021 | 13 | 2021 |
| 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 | 13 | 2016 |
| Classifying the classifier: dissecting the weight space of neural networks G Eilertsen, D Jönsson, T Ropinski, J Unger, A Ynnerman European Conference on Artificial Intelligence 325, 1119-1126, 2020 | 12 | 2020 |
| The high dynamic range imaging pipeline: Tone-mapping, distribution, and single-exposure reconstruction G Eilertsen Linköping University Electronic Press, 2018 | 11 | 2018 |
| How to cheat with metrics in single-image HDR reconstruction G Eilertsen, S Hajisharif, P Hanji, A Tsirikoglou, RK Mantiuk, J Unger Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 10 | 2021 |
| BriefMatch: Dense binary feature matching for real-time optical flow estimation G Eilertsen, PE Forssén, J Unger Scandinavian Conference on Image Analysis (SCIA17), 2017 | 10 | 2017 |
| Evaluation of Contrastive Predictive Coding for Histopathology Applications. K Stacke, C Lundström, G Eilertsen ML4H@ NeurIPS, 328-340, 2020 | 7 | 2020 |
| 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 | 7 | 2020 |
| Comparison of single image HDR reconstruction methods—the caveats of quality assessment P Hanji, R Mantiuk, G Eilertsen, S Hajisharif, J Unger ACM SIGGRAPH 2022 Conference Proceedings, 1-8, 2022 | 6 | 2022 |
| Unsupervised anomaly detection in digital pathology using GANs M Pocevičiūtė, G Eilertsen, C Lundström 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1878-1882, 2021 | 6 | 2021 |
| Primary tumor and inter-organ augmentations for supervised lymph node colon adenocarcinoma metastasis detection A Tsirikoglou, K Stacke, G Eilertsen, J Unger Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 6 | 2021 |
Jonas UngerProfessor, division for Media and Information Technology, Linköping University, SwedenVerified email at liu.se
