| Change detection from a street image pair using cnn features and superpixel segmentation K Sakurada, T Okatani | 172* | 2015 |
| Damage detection from aerial images via convolutional neural networks A Fujita, K Sakurada, T Imaizumi, R Ito, S Hikosaka, R Nakamura 2017 Fifteenth IAPR international conference on machine vision applications …, 2017 | 150 | 2017 |
| Filmy cloud removal on satellite imagery with multispectral conditional generative adversarial nets K Enomoto, K Sakurada, W Wang, H Fukui, M Matsuoka, R Nakamura, ... Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 144 | 2017 |
| Detecting changes in 3D structure of a scene from multi-view images captured by a vehicle-mounted camera K Sakurada, T Okatani, K Deguchi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 95 | 2013 |
| Reflectance intensity assisted automatic and accurate extrinsic calibration of 3d lidar and panoramic camera using a printed chessboard W Wang, K Sakurada, N Kawaguchi Remote Sensing 9 (8), 851, 2017 | 81 | 2017 |
| Weakly supervised silhouette-based semantic scene change detection K Sakurada, M Shibuya, W Wang 2020 IEEE International conference on robotics and automation (ICRA), 6861-6867, 2020 | 71 | 2020 |
| Rare event detection using disentangled representation learning R Hamaguchi, K Sakurada, R Nakamura Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 48 | 2019 |
| Image translation between SAR and optical imagery with generative adversarial nets K Enomoto, K Sakurada, W Wang, N Kawaguchi, M Matsuoka, ... IGARSS 2018-2018 IEEE international geoscience and remote sensing symposium …, 2018 | 47 | 2018 |
| Soic: Semantic online initialization and calibration for lidar and camera W Wang, S Nobuhara, R Nakamura, K Sakurada arXiv preprint arXiv:2003.04260, 2020 | 44 | 2020 |
| Dense optical flow based change detection network robust to difference of camera viewpoints K Sakurada, W Wang, N Kawaguchi, R Nakamura arXiv preprint arXiv:1712.02941, 2017 | 29 | 2017 |
| Incremental and enhanced scanline-based segmentation method for surface reconstruction of sparse LiDAR data W Wang, K Sakurada, N Kawaguchi Remote Sensing 8 (11), 967, 2016 | 29 | 2016 |
| Privacy preserving visual SLAM M Shibuya, S Sumikura, K Sakurada Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 27 | 2020 |
| GAN-based SAR-to-optical image translation with region information K Doi, K Sakurada, M Onishi, A Iwasaki IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 26 | 2020 |
| Exploring recurrent and feedback cnns for multi-spectral satellite image classification N Imamoglu, P Martínez-Gómez, R Hamaguchi, K Sakurada, R Nakamura Procedia Computer Science 140, 162-169, 2018 | 17 | 2018 |
| Benchmarking cameras for open VSLAM indoors K Chappellet, G Caron, F Kanehiro, K Sakurada, A Kheddar 2020 25th International Conference on Pattern Recognition (ICPR), 4857-4864, 2021 | 16 | 2021 |
| Hierarchical neural memory network for low latency event processing R Hamaguchi, Y Furukawa, M Onishi, K Sakurada Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 14 | 2023 |
| LB-NERF: light bending neural radiance fields for transparent medium T Fujitomi, K Sakurada, R Hamaguchi, H Shishido, M Onishi, Y Kameda 2022 IEEE International Conference on Image Processing (ICIP), 2142-2146, 2022 | 11 | 2022 |
| Self-supervised simultaneous alignment and change detection Y Furukawa, K Suzuki, R Hamaguchi, M Onishi, K Sakurada 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 10 | 2020 |
| Temporal city modeling using street level imagery K Sakurada, D Tetsuka, T Okatani Computer Vision and Image Understanding 157, 55-71, 2017 | 8 | 2017 |
| Massive city-scale surface condition analysis using ground and aerial imagery K Sakurada, T Okatani, KM Kitani Computer Vision–ACCV 2014: 12th Asian Conference on Computer Vision …, 2015 | 8 | 2015 |
Weimin WangDalian University of Technology在 dlut.edu.cn 的电子邮件经过验证
