| Automatic building segmentation of aerial imagery using multi-constraint fully convolutional networks G Wu, X Shao, Z Guo, Q Chen, W Yuan, X Shi, Y Xu, R Shibasaki Remote Sensing 10 (3), 407, 2018 | 225 | 2018 |
| Pedestrian trajectory prediction in extremely crowded scenarios X Shi, X Shao, Z Guo, G Wu, H Zhang, R Shibasaki Sensors 19 (5), 1223, 2019 | 67 | 2019 |
| A boundary regulated network for accurate roof segmentation and outline extraction G Wu, Z Guo, X Shi, Q Chen, Y Xu, R Shibasaki, X Shao Remote Sensing 10 (8), 1195, 2018 | 67 | 2018 |
| Super-resolution integrated building semantic segmentation for multi-source remote sensing imagery Z Guo, G Wu, X Song, W Yuan, Q Chen, H Zhang, X Shi, M Xu, Y Xu, ... IEEE Access 7, 99381-99397, 2019 | 49 | 2019 |
| Semantic segmentation for urban planning maps based on U-Net Z Guo, H Shengoku, G Wu, Q Chen, W Yuan, X Shi, X Shao, Y Xu, ... IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 43 | 2018 |
| A stacked fully convolutional networks with feature alignment framework for multi-label land-cover segmentation G Wu, Y Guo, X Song, Z Guo, H Zhang, X Shi, R Shibasaki, X Shao Remote Sensing 11 (9), 1051, 2019 | 32 | 2019 |
| Multimodal interaction-aware trajectory prediction in crowded space X Shi, X Shao, Z Fan, R Jiang, H Zhang, Z Guo, G Wu, W Yuan, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 11982 …, 2020 | 27 | 2020 |
| Metagraph-based life pattern clustering with big human mobility data W Li, H Zhang, J Chen, P Li, Y Yao, X Shi, M Shibasaki, HH Kobayashi, ... IEEE Transactions on Big Data 9 (1), 227-240, 2022 | 18 | 2022 |
| Learn to recover visible color for video surveillance in a day G Wu, Y Zheng, Z Guo, Z Cai, X Shi, X Ding, Y Huang, Y Guo, R Shibasaki Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 15 | 2020 |
| Social-dpf: Socially acceptable distribution prediction of futures X Shi, X Shao, G Wu, H Zhang, Z Guo, R Jiang, R Shibasaki Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 2550-2557, 2021 | 9 | 2021 |
| Robust optimization for emergency scheduling of oil products after disaster Z Li, Q Liao, H Zhang, Y Liang, J Zheng, R Qiu, X Shi IEEE Access 7, 110794-110811, 2019 | 8 | 2019 |
| Graph neural network based multi-feature fusion for building change detection W Yuan, X Yuan, Z Fan, Z Guo, X Shi, J Gong, R Shibasaki The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2021 | 6 | 2021 |
| MetaTraj: meta-learning for cross-scene cross-object trajectory prediction X Shi, H Zhang, W Yuan, R Shibasaki IEEE Transactions on Intelligent Transportation Systems 24 (12), 14000-14009, 2023 | 4 | 2023 |
| Multivariate time series prediction for CO2 concentration and flowrate of flue gas from biomass-fired power plants S Pan, X Shi, B Dong, J Skvaril, H Zhang, Y Liang, H Li Fuel 359, 130344, 2024 | 3 | 2024 |
| Multiconstraint transformer-based automatic building extraction from high-resolution remote sensing images W Yuan, W Ran, X Shi, R Shibasaki IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2023 | 3 | 2023 |
| Phone-based ambient temperature measurement with a new confidence-based truth inference model D Chen, X Shi, X Song, Z Chen, H Zhang Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2023 | 3 | 2023 |
| A self-powered smart wave energy converter for sustainable sea H Li, J Wu, X Shi, L Kong, W Kong, Z Zhang, Y Pan, D Luo, J Yan Mechanical Systems and Signal Processing 220, 111641, 2024 | 2 | 2024 |
| Modeling interpretable social interactions for pedestrian trajectory Q Liu, X Shi, R Jiang, H Zhang, L Lu, R Shibasaki Transportation Research Part C: Emerging Technologies 162, 104617, 2024 | 2 | 2024 |
| LTP-Net: Life-Travel Pattern Based Human Mobility Signature Identification Y Yao, H Zhang, X Shi, J Chen, W Li, X Song, R Shibasaki IEEE Transactions on Intelligent Transportation Systems 24 (12), 14306-14319, 2023 | 2 | 2023 |
| Geosr: A Computer Vision Package for Deep Learning Based Single-Frame Remote Sensing Imagery Super-Resolution Z Guo, G Wu, X Shi, M Sui, X Song, Y Xu, X Shao, R Shibasaki IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 2 | 2019 |