| 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 | 493 | 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 | 350 | 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 | 281 | 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 | 186 | 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 | 101 | 2017 |
| TCRA-LLM: Token Compression Retrieval Augmented Large Language Model for Inference Cost Reduction J Liu, L Li, T Xiang, B Wang, Y Qian Findings of the Association for Computational Linguistics: EMNLP 2023, 9796–9810, 2023 | 62 | 2023 |
| DeepNFV: A lightweight framework for intelligent edge network functions virtualization L Li, K Ota, M Dong IEEE Network 33 (1), 136-141, 2018 | 52 | 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 | 49 | 2021 |
| 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 | 49 | 2017 |
| Learning Bottleneck Concepts in Image Classification B Wang, L Li, Y Nakashima, H Nagahara Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 40 | 2023 |
| 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 | 31 | 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 | 30 | 2020 |
| 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 | 24 | 2021 |
| 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 | 22 | 2022 |
| IncreLoRA: Incremental Parameter Allocation Method for Parameter-Efficient Fine-tuning F Zhang, L Li, J Chen, Z Jiang, B Wang, Y Qian arXiv preprint arXiv:2308.12043, 2023 | 21 | 2023 |
| 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 | 21 | 2021 |
| 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 | 16 | 2018 |
| 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 | 15 | 2018 |
| Improving facade parsing with vision transformers and line integration B Wang, J Zhang, R Zhang, Y Li, L Li, Y Nakashima Advanced Engineering Informatics 60, 102463, 2024 | 10 | 2024 |
| Instruct Me More! Random Prompting for Visual In-Context Learning J Zhang, B Wang, L Li, Y Nakashima, H Nagahara Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 10 | 2024 |
Yuta NakashimaInstitute for Datability Science, Osaka UniversityVerified email at ids.osaka-u.ac.jp
