Lin Gu
Cited by
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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
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
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
Shelfnet for fast semantic segmentation
J Zhuang, J Yang, L Gu, N Dvornek
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
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
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
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
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
Feature Normalized Knowledge Distillation for Image Classification
K Xu, L Rui, Y Li, L Gu
European Conference on Computer Vision (ECCV), 2020
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
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
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
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
Learning to Boost Filamentary Structure Segmentation
L Gu, L Cheng
ICCV 2015 International Conference on Computer Vision, 2015
Segment 2D and 3D filaments by learning structured and contextual features
L Gu, X Zhang, H Zhao, H Li, L Cheng
IEEE Transactions on Medical Imaging (TMI) 36 (2), 596-606, 2017
Hyperspectral anomaly detection by local joint subspace process and support vector machine
P Xiang, H Zhou, H Li, S Song, W Tan, J Song, L Gu
International Journal of Remote Sensing 41 (10), 3798-3819, 2020
Unsupervised ensemble strategy for retinal vessel segmentation
B Liu, L Gu, F Lu
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
Estimating and improving fairness with adversarial learning
X Li, Z Cui, Y Wu, L Gu, T Harada
arXiv preprint arXiv:2103.04243, 2021
Explainable Diabetic Retinopathy Detection and Retinal Image Generation
Y Niu, L Gu, Y Zhao, F Lu
IEEE Journal of Biomedical and Health Informatics, 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
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