| 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 | 594 | 2017 |
| Performance relighting and reflectance transformation with time-multiplexed illumination A Wenger, A Gardner, C Tchou, J Unger, T Hawkins, P Debevec ACM Transactions on Graphics (TOG) 24 (3), 756-764, 2005 | 361 | 2005 |
| Synscapes: A photorealistic synthetic dataset for street scene parsing M Wrenninge, J Unger arXiv preprint arXiv:1810.08705, 2018 | 232 | 2018 |
| 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 | 229 | 2020 |
| Capturing and Rendering with Incident Light Fields. J Unger, A Wenger, T Hawkins, A Gardner, PE Debevec Rendering Techniques 2003, 1-10, 2003 | 170 | 2003 |
| Evaluation of tone mapping operators for HDR video G Eilertsen, J Unger, RK Mantiuk High dynamic range video, 185-207, 2016 | 158 | 2016 |
| A comparative review of tone‐mapping algorithms for high dynamic range video G Eilertsen, RK Mantiuk, J Unger Computer graphics forum 36 (2), 565-592, 2017 | 136 | 2017 |
| BRDF models for accurate and efficient rendering of glossy surfaces J Löw, J Kronander, A Ynnerman, J Unger ACM Transactions on Graphics (TOG) 31 (1), 1-14, 2012 | 130 | 2012 |
| High Dynamic Range Video: From Acquisition, to Display and Applications F Dufaux, PL Callet, R Mantiuk, M Mrak Academic Press, 2016 | 113 | 2016 |
| Procedural modeling and physically based rendering for synthetic data generation in automotive applications A Tsirikoglou, J Kronander, M Wrenninge, J Unger arXiv preprint arXiv:1710.06270, 2017 | 102 | 2017 |
| Real-time noise-aware tone mapping G Eilertsen, RK Mantiuk, J Unger ACM Transactions on Graphics (TOG) 34 (6), 1-15, 2015 | 96 | 2015 |
| Unified HDR reconstruction from raw CFA data J Kronander, S Gustavson, G Bonnet, J Unger IEEE international conference on computational photography (ICCP), 1-9, 2013 | 86 | 2013 |
| 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 | 81 | 2019 |
| An automultiscopic projector array for interactive digital humans A Jones, J Unger, K Nagano, J Busch, X Yu, HY Peng, O Alexander, ... ACM SIGGRAPH 2015 Emerging Technologies, 1-1, 2015 | 77 | 2015 |
| Photorealistic rendering of mixed reality scenes J Kronander, F Banterle, A Gardner, E Miandji, J Unger Computer Graphics Forum 34 (2), 643-665, 2015 | 73 | 2015 |
| A survey of image synthesis methods for visual machine learning A Tsirikoglou, G Eilertsen, J Unger Computer graphics forum 39 (6), 426-451, 2020 | 70 | 2020 |
| A unified framework for multi-sensor HDR video reconstruction J Kronander, S Gustavson, G Bonnet, A Ynnerman, J Unger Signal Processing: Image Communication 29 (2), 203-215, 2014 | 67 | 2014 |
| Efficient visibility encoding for dynamic illumination in direct volume rendering J Kronander, D Jonsson, J Low, P Ljung, A Ynnerman, J Unger IEEE Transactions on Visualization and Computer Graphics 18 (3), 447-462, 2011 | 59 | 2011 |
| High-dynamic-range video for photometric measurement of illumination J Unger, S Gustavson Sensors, Cameras, and Systems for Scientific/Industrial Applications VIII …, 2007 | 53 | 2007 |
| Classifying the classifier: dissecting the weight space of neural networks G Eilertsen, D Jönsson, T Ropinski, J Unger, A Ynnerman ECAI 2020, 1119-1126, 2020 | 52 | 2020 |
Gabriel EilertsenLinköping UniversityVerified email at liu.se
