Enhanced pix2pix dehazing network Y Qu, Y Chen, J Huang, Y Xie
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
632 2019 Contrastive learning for compact single image dehazing H Wu, Y Qu, S Lin, J Zhou, R Qiao, Z Zhang, Y Xie, L Ma
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
544 2021 On unifying multi-view self-representations for clustering by tensor multi-rank minimization Y Xie, D Tao, W Zhang, Y Liu, L Zhang, Y Qu
International Journal of Computer Vision 126, 1157-1179, 2018
323 2018 Latticenet: Towards lightweight image super-resolution with lattice block X Luo, Y Xie, Y Zhang, Y Qu, C Li, Y Fu
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
219 2020 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
188 2020 Distilling image dehazing with heterogeneous task imitation M Hong, Y Xie, C Li, Y Qu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
166 2020 Hyperspectral Image Restoration via Iteratively Regularized Weighted Schatten Y Xie, Y Qu, D Tao, W Wu, Q Yuan, W Zhang
IEEE Transactions on Geoscience and Remote Sensing 54 (8), 4642-4659, 2016
152 2016 Hyper-Laplacian regularized multilinear multiview self-representations for clustering and semisupervised learning Y Xie, W Zhang, Y Qu, L Dai, D Tao
IEEE transactions on cybernetics 50 (2), 572-586, 2018
141 2018 Unifying visual saliency with HOG feature learning for traffic sign detection Y Xie, L Liu, C Li, Y Qu
2009 IEEE Intelligent Vehicles Symposium, 24-29, 2009
124 2009 Farewell to mutual information: Variational distillation for cross-modal person re-identification X Tian, Z Zhang, S Lin, Y Qu, Y Xie, L Ma
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
119 2021 Discriminative object tracking via sparse representation and online dictionary learning Y Xie, W Zhang, C Li, S Lin, Y Qu, Y Zhang
IEEE transactions on cybernetics 44 (4), 539-553, 2013
109 2013 Perturbed self-distillation: Weakly supervised large-scale point cloud semantic segmentation Y Zhang, Y Qu, Y Xie, Z Li, S Zheng, C Li
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
108 2021 Underwater-GAN: Underwater image restoration via conditional generative adversarial network X Yu, Y Qu, M Hong
Pattern Recognition and Information Forensics: ICPR 2018 International …, 2019
105 2019 Aim 2020 challenge on efficient super-resolution: Methods and results K Zhang, M Danelljan, Y Li, R Timofte, J Liu, J Tang, G Wu, Y Zhu, X He, ...
Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020
100 2020 Joint deep multi-view learning for image clustering Y Xie, B Lin, Y Qu, C Li, W Zhang, L Ma, Y Wen, D Tao
IEEE Transactions on Knowledge and Data Engineering 33 (11), 3594-3606, 2020
83 2020 Trident dehazing network J Liu, H Wu, Y Xie, Y Qu, L Ma
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
75 2020 Joint hierarchical category structure learning and large-scale image classification Y Qu, L Lin, F Shen, C Lu, Y Wu, Y Xie, D Tao
IEEE Transactions on Image Processing 26 (9), 4331-4346, 2016
70 2016 Robust kernelized multiview self-representation for subspace clustering Y Xie, J Liu, Y Qu, D Tao, W Zhang, L Dai, L Ma
IEEE transactions on neural networks and learning systems 32 (2), 868-881, 2020
69 2020 Weakly supervised semantic segmentation for large-scale point cloud Y Zhang, Z Li, Y Xie, Y Qu, C Li, T Mei
Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 3421-3429, 2021
68 2021 Knowledge transfer dehazing network for nonhomogeneous dehazing H Wu, J Liu, Y Xie, Y Qu, L Ma
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
60 2020 