| Understanding adversarial attacks on deep learning based medical image analysis systems X Ma, Y Niu, L Gu, Y Wang, Y Zhao, J Bailey, F Lu Pattern Recognition 110, 107332, 2021 | 546 | 2021 |
| Advancing image understanding in poor visibility environments: A collective benchmark study W Yang, Y Yuan, W Ren, J Liu, WJ Scheirer, Z Wang, T Zhang, Q Zhong, ... IEEE Transactions on Image Processing 29, 5737-5752, 2020 | 256 | 2020 |
| Beyond triplet loss: person re-identification with fine-grained difference-aware pairwise loss C Yan, G Pang, X Bai, C Liu, X Ning, L Gu, J Zhou IEEE Transactions on Multimedia 24, 1665-1677, 2021 | 223 | 2021 |
| You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction Z Cui, K Li, L Gu, S Su, P Gao, Z Jiang, Y Qiao, T Harada arXiv preprint arXiv:2205.14871, 2022 | 188* | 2022 |
| Shelfnet for fast semantic segmentation J Zhuang, J Yang, L Gu, N Dvornek Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 165 | 2019 |
| Goal-oriented gaze estimation for zero-shot learning Y Liu, L Zhou, X Bai, Y Huang, L Gu, J Zhou, T Harada Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 159 | 2021 |
| Multitask aet with orthogonal tangent regularity for dark object detection Z Cui, GJ Qi, L Gu, S You, Z Zhang, T Harada Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 134 | 2021 |
| Feature Normalized Knowledge Distillation for Image Classification K Xu, L Rui, Y Li, L Gu European Conference on Computer Vision (ECCV), 2020 | 118 | 2020 |
| From RGB to spectrum for natural scenes via manifold-based mapping Y Jia, Y Zheng, L Gu, A Subpa-Asa, A Lam, Y Sato, I Sato ICCV 2017, 4715-4723, 2017 | 117 | 2017 |
| Deeply Learned Filter Response Functions for Hyperspectral Reconstruction S Nie, L Gu, Y Zheng, A Lam, N Ono, I Sato CVPR 2018, 4767-4776, 2018 | 104 | 2018 |
| Review of deep learning approaches for the segmentation of multiple sclerosis lesions on brain MRI C Zeng, L Gu, Z Liu, S Zhao Frontiers in Neuroinformatics 14, 610967, 2020 | 95 | 2020 |
| Fixed pattern noise reduction for infrared images based on cascade residual attention CNN J Guan, R Lai, A Xiong, Z Liu, L Gu Neurocomputing 377, 301-313, 2020 | 94 | 2020 |
| Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective J Zhang, X Wang, X Bai, C Wang, L Huang, Y Chen, L Gu, J Zhou, ... Computer Vision and Pattern Recognition (CVPR) 2022, 2022 | 76 | 2022 |
| Dngaussian: Optimizing sparse-view 3d gaussian radiance fields with global-local depth normalization J Li, J Zhang, X Bai, J Zheng, X Ning, J Zhou, L Gu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 70 | 2024 |
| Explainable Diabetic Retinopathy Detection and Retinal Image Generation Y Niu, L Gu, Y Zhao, F Lu IEEE Journal of Biomedical and Health Informatics, 2021 | 68 | 2021 |
| Semi-supervised learning for biomedical image segmentation via forest oriented super pixels (voxels) L Gu, Y Zheng, R Bise, I Sato, N Imanishi, S Aiso MICCAI International Conference on Medical Image Computing and Computer …, 2017 | 66 | 2017 |
| Visual detection and tracking algorithms for minimally invasive surgical instruments: a comprehensive review of the state-of-the-art Y Wang, Q Sun, Z Liu, L Gu Robotics and Autonomous Systems 149, 103945, 2022 | 65 | 2022 |
| Efficient region-aware neural radiance fields for high-fidelity talking portrait synthesis J Li, J Zhang, X Bai, J Zhou, L Gu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 56 | 2023 |
| Pathological evidence exploration in deep retinal image diagnosis Y Niu, L Gu, F Lu, F Lv, Z Wang, I Sato, Z Zhang, Y Xiao, X Dai, T Cheng Proceedings of the AAAI conference on artificial intelligence 33 (01), 1093-1101, 2019 | 49 | 2019 |
| Estimating and improving fairness with adversarial learning X Li, Z Cui, Y Wu, L Gu, T Harada arXiv preprint arXiv:2103.04243, 2021 | 48 | 2021 |
Tatsuya HaradaThe University of Tokyo確認したメール アドレス: mi.t.u-tokyo.ac.jp
