| Deep learning for smart industry: efficient manufacture inspection system with fog computing L Li, K Ota, M Dong IEEE Transactions on Industrial Informatics 14 (10), 4665-4673, 2018 | 386 | 2018 |
| Iternet: Retinal image segmentation utilizing structural redundancy in vessel networks L Li, M Verma, Y Nakashima, H Nagahara, R Kawasaki Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 211 | 2020 |
| Humanlike Driving: Empirical Decision-Making System for Autonomous Vehicles L Li, K Ota, M Dong IEEE Transactions on Vehicular Technology 67 (8), 6814-6823, 2018 | 202 | 2018 |
| When Weather Matters: IoT-Based Electrical Load Forecasting for Smart Grid L Li, K Ota, M Dong IEEE Communications Magazine 55 (10), 46-51, 2017 | 154 | 2017 |
| Everything is Image: CNN-based Short-term Electrical Load Forecasting for Smart Grid L Li, K Ota, M Dong 2017 14th International Symposium on Pervasive Systems, Algorithms and …, 2017 | 68 | 2017 |
| Eyes in the dark: Distributed scene understanding for disaster management L Li, K Ota, M Dong, W Borjigin IEEE Transactions on Parallel and Distributed Systems 28 (12), 3458-3471, 2017 | 46 | 2017 |
| DeepNFV: A lightweight framework for intelligent edge network functions virtualization L Li, K Ota, M Dong IEEE Network 33 (1), 136-141, 2018 | 43 | 2018 |
| SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition L Li, B Wang, M Verma, Y Nakashima, R Kawasaki, H Nagahara IEEE/CVF International Conference on Computer Vision (ICCV), 2021 | 22 | 2021 |
| The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods VS Bawa, G Singh, F KapingA, I Skarga-Bandurova, E Oleari, A Leporini, ... arXiv preprint arXiv:2104.03178, 2021 | 16 | 2021 |
| Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing L Li, M Verma, Y Nakashima, R Kawasaki, H Nagahara Medical Imaging with Deep Learning, 2020 | 15 | 2020 |
| Human in the Loop: Distributed Deep Model for Mobile Crowdsensing L Li, K Ota, M Dong IEEE Internet of Things Journal 5 (6), 4957-4964, 2018 | 15 | 2018 |
| Noisy-LSTM: Improving Temporal Awareness for Video Semantic Segmentation B Wang, L Li, Y Nakashima, R Kawasaki, H Nagahara, Y Yagi IEEE Access 9, 46810-46820, 2021 | 13 | 2021 |
| Sustainable CNN for robotic: An offloading game in the 3D vision computation L Li, K Ota, M Dong IEEE Transactions on Sustainable Computing 4 (1), 67-76, 2018 | 12 | 2018 |
| MTUNet: Few-shot Image Classification with Visual Explanations B Wang, L Li, M Verma, Y Nakashima, R Kawasaki, H Nagahara IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop, 2021 | 11 | 2021 |
| Volumetric view planning for 3D reconstruction with multiple manipulators L Li, N Xiao Industrial Robot: An International Journal 42 (6), 533-543, 2015 | 8 | 2015 |
| Smooth Sensor Motion Planning for Robotic Cyber Physical Social Sensing (CPSS) H Tang, L Li, N Xiao Sensors 17 (2), 393, 2017 | 6 | 2017 |
| Match them up: visually explainable few-shot image classification B Wang, L Li, M Verma, Y Nakashima, R Kawasaki, H Nagahara Applied Intelligence, 1-22, 2022 | 3 | 2022 |
| Enabling 60 GHz Seamless Coverage for Mobile Devices: A Motion Learning Approach L Li, K Ota, M Dong, C Verikoukis 2018 IEEE Global Communications Conference (GLOBECOM), 1-6, 2018 | 2 | 2018 |
| Automated grading system of retinal arterio-venous crossing patterns: A deep learning approach replicating ophthalmologist’s diagnostic process of arteriolosclerosis L Li, M Verma, B Wang, Y Nakashima, H Nagahara, R Kawasaki PLOS Digital Health 2 (1), e0000174, 2023 | 1* | 2023 |
| Image Retrieval by Hierarchy-aware Deep Hashing Based on Multi-task Learning B Wang, L Li, Y Nakashima, T Yamamoto, H Ohshima, Y Shoji, K Aihara, ... ACM International Conference on Multimedia Retrieval (ICMR), 2021 | 1 | 2021 |
Yuta NakashimaInstitute for Datability Science, Osaka University在 ids.osaka-u.ac.jp 的电子邮件经过验证
