| Globally and locally consistent image completion S Iizuka, E Simo-Serra, H Ishikawa ACM Transactions on Graphics (ToG) 36 (4), 1-14, 2017 | 1874 | 2017 |
| Let there be color! Joint end-to-end learning of global and local image priors for automatic image colorization with simultaneous classification S Iizuka, E Simo-Serra, H Ishikawa ACM Transactions on Graphics (ToG) 35 (4), 1-11, 2016 | 896 | 2016 |
| Learning to simplify: fully convolutional networks for rough sketch cleanup E Simo-Serra, S Iizuka, K Sasaki, H Ishikawa ACM Transactions on Graphics (TOG) 35 (4), 1-11, 2016 | 211 | 2016 |
| Mastering sketching: adversarial augmentation for structured prediction E Simo-Serra, S Iizuka, H Ishikawa ACM Transactions on Graphics (TOG) 37 (1), 1-13, 2018 | 104 | 2018 |
| What makes a style: Experimental analysis of fashion prediction M Takagi, E Simo-Serra, S Iizuka, H Ishikawa Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 62 | 2017 |
| Deepprop: Extracting deep features from a single image for edit propagation Y Endo, S Iizuka, Y Kanamori, J Mitani Computer Graphics Forum 35 (2), 189-201, 2016 | 62 | 2016 |
| An interactive design system for pop-up cards with a physical simulation S Iizuka, Y Endo, J Mitani, Y Kanamori, Y Fukui The visual computer 27, 605-612, 2011 | 49 | 2011 |
| Detection by classification of buildings in multispectral satellite imagery T Ishii, E Simo-Serra, S Iizuka, Y Mochizuki, A Sugimoto, H Ishikawa, ... 2016 23rd international conference on pattern recognition (ICPR), 3344-3349, 2016 | 47 | 2016 |
| Real-time data-driven interactive rough sketch inking E Simo-Serra, S Iizuka, H Ishikawa ACM Transactions on Graphics (TOG) 37 (4), 1-14, 2018 | 45 | 2018 |
| Deepremaster: temporal source-reference attention networks for comprehensive video enhancement S Iizuka, E Simo-Serra ACM Transactions on Graphics (TOG) 38 (6), 1-13, 2019 | 43 | 2019 |
| Joint gap detection and inpainting of line drawings K Sasaki, S Iizuka, E Simo-Serra, H Ishikawa Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 38 | 2017 |
| Virtual thin slice: 3D conditional GAN-based super-resolution for CT slice interval A Kudo, Y Kitamura, Y Li, S Iizuka, E Simo-Serra Machine Learning for Medical Image Reconstruction: Second International …, 2019 | 31 | 2019 |
| Temporal distance matrices for squat classification R Ogata, E Simo-Serra, S Iizuka, H Ishikawa Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 28* | 2019 |
| TopNet: Topology preserving metric learning for vessel tree reconstruction and labelling D Keshwani, Y Kitamura, S Ihara, S Iizuka, E Simo-Serra Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 20 | 2020 |
| Learning to restore deteriorated line drawing K Sasaki, S Iizuka, E Simo-Serra, H Ishikawa The visual computer 34, 1077-1085, 2018 | 20 | 2018 |
| Efficiently modeling 3D scenes from a single image S Iizuka, Y Kanamori, J Mitani, Y Fukui IEEE computer graphics and applications 32 (6), 18-25, 2011 | 20* | 2011 |
| Two-stage discriminative re-ranking for large-scale landmark retrieval S Yokoo, K Ozaki, E Simo-Serra, S Iizuka Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 19 | 2020 |
| Image Harmonization with Attention-based Deep Feature Modulation. G Hao, S Iizuka, K Fukui BMVC 2 (3), 4, 2020 | 18 | 2020 |
| Efficient depth propagation for constructing a layered depth image from a single image S Iizuka, Y Endo, Y Kanamori, J Mitani, Y Fukui Computer Graphics Forum 33 (7), 279-288, 2014 | 15 | 2014 |
| Automatic segmentation, localization, and identification of vertebrae in 3D CT images using cascaded convolutional neural networks N Masuzawa, Y Kitamura, K Nakamura, S Iizuka, E Simo-Serra Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 13 | 2020 |
Edgar Simo-SerraWaseda UniversityVerified email at waseda.jp
