Thorax disease classification with attention guided convolutional neural network Q Guan, Y Huang, Z Zhong, Z Zheng, L Zheng, Y Yang Pattern Recognition Letters 131, 38-45, 2020 | 422* | 2020 |
Multi-label chest X-ray image classification via category-wise residual attention learning Q Guan, Y Huang Pattern Recognition Letters 130, 259-266, 2020 | 191 | 2020 |
EDTER: Edge Detection with Transformer M Pu, Y Huang, Y Liu, Q Guan, H Ling CVPR 2022, 2022 | 132 | 2022 |
GraphNet: Learning Image Pseudo Annotations for Weakly-Supervised Semantic Segmentation M Pu, Y Huang, Q Guan, Q Zou In Proc. of the ACM International Conference on Multimedia (ACM MM), 483-491, 2018 | 46 | 2018 |
RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth M Pu, Y Huang, Q Guan, H Ling ICCV 2021, 2021 | 45 | 2021 |
Discriminative Feature Learning for Thorax Disease Classification in Chest X-ray Images Q Guan, Y Huang, Y Luo, P Liu, M Xu, Y Yang IEEE Transactions on Image Processing 30, 2476-2487, 2021 | 41 | 2021 |
Object discovery from a single unlabeled image by mining frequent itemsets with multi-scale features R Zhang, Y Huang, M Pu, J Zhang, Q Guan, Q Zou, H Ling IEEE Transactions on Image Processing 29, 8606-8621, 2020 | 41* | 2020 |
The treasure beneath multiple annotations: An uncertainty-aware edge detector C Zhou, Y Huang, M Pu, Q Guan, L Huang, H Ling Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 21 | 2023 |
Learning from pixel-level label noise: A new perspective for semi-supervised semantic segmentation R Yi, Y Huang, Q Guan, M Pu, R Zhang IEEE Transactions on Image Processing 31, 623-635, 2021 | 21 | 2021 |
Multiscale single image dehazing based on adaptive wavelet fusion W Wang, W Li, Q Guan, M Qi Mathematical problems in engineering 2015 (1), 131082, 2015 | 20 | 2015 |
Image dehazing based on structure preserving M Qi, Q Hao, Q Guan, J Kong, Y Zhang Optik 126 (22), 3400-3406, 2015 | 15 | 2015 |
Joint representation and classifier learning for long-tailed image classification Q Guan, Z Li, J Zhang, Y Huang, Y Zhao Image and Vision Computing 137, 104759, 2023 | 3 | 2023 |
Looking ahead: Joint small group detection and tracking in crowd scenes Q Ma, Q Zou, N Wang, Q Guan, Y Pei Journal of Visual Communication and Image Representation 72, 102876, 2020 | 3 | 2020 |
A hard knowledge regularization method with probability difference in thorax disease images Q Guan, Q Chen, Z Zhong, Y Huang, Y Zhao Knowledge-Based Systems 278, 110859, 2023 | 2 | 2023 |
Making better use of edges for sketch generation X Zhang, Y Huang, Q Zou, Q Guan, J Liu Journal of Electronic Imaging, 2018 | 2 | 2018 |
An improved heteroscedastic modeling method for chest X-ray image classification with noisy labels Q Guan, Q Chen, Y Huang Algorithms 16 (5), 239, 2023 | 1 | 2023 |
MuGE: Multiple Granularity Edge Detection C Zhou, Y Huang, M Pu, Q Guan, R Deng, H Ling Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
Chest X-Ray Image Classification with Deep Learning Q Guan PQDT-Global, 2021 | | 2021 |
Novel Framework for Improving the Desired Structure Prediction on Imbalance Data Set. H Sun, Q Guan, Q Hao, J Kong, Y Lu, M Qi Asian Journal of Chemistry 26 (17), 2014 | | 2014 |
Moving shadow detection method using logistic regression L Yang, JY Dai, M Qi, QJ Guan Applied Mechanics and Materials 543, 2724-2727, 2014 | | 2014 |