Lei Zhu
Cited by
Cited by
R3net: Recurrent residual refinement network for saliency detection
Z Deng, X Hu, L Zhu, X Xu, J Qin, G Han, PA Heng
IJCAI, 2018, 684-690, 2018
CANet: cross-disease attention network for joint diabetic retinopathy and diabetic macular edema grading
X Li, X Hu, L Yu, L Zhu, CW Fu, PA Heng
IEEE Transactions on medical imaging (TMI), 2020 39 (5), 1483-1493, 2019
Joint bi-layer optimization for single-image rain streak removal
L Zhu, CW Fu, D Lischinski, PA Heng
ICCV, 2017, 2526-2534, 2017
Depth-attentional features for single-image rain removal
X Hu, CW Fu, L Zhu, PA Heng
CVPR, 2019, 8022-8031, 2019
Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection
L Zhu, Z Deng, X Hu, CW Fu, X Xu, J Qin, PA Heng
ECCV, 2018, pp. 121–136, 2018
Direction-aware spatial context features for shadow detection
X Hu, L Zhu, CW Fu, J Qin, PA Heng
CVPR, 2018, 7454-7462, 2018
Direction-aware spatial context features for shadow detection and removal
X Hu, CW Fu, L Zhu, J Qin, PA Heng
IEEE TPAMI 42 (11), 2795-2808, 2019
Deep attentive features for prostate segmentation in 3d transrectal ultrasound
Y Wang, H Dou, X Hu, L Zhu, X Yang, M Xu, J Qin, PA Heng, T Wang, ...
IEEE Transactions on medical imaging (TMI), 2019 38 (12), 2768-2778, 2019
Recurrently Aggregating Deep Features for Salient Object Detection
X Hu, L Zhu, J Qin, CW Fu, PA Heng
AAAI, 2018, pp. 6943–6950, 2018
A multi-task mean teacher for semi-supervised shadow detection
Z Chen, L Zhu, L Wan, S Wang, W Feng, PA Heng
CVPR, 2020, 5611-5620, 2020
Deep Attentional Features for Prostate Segmentation in Ultrasound
Y Wang, Z Deng, X Hu, L Zhu, X Yang, X Xu, PA Heng, D Ni.
MICCAI 2018, pp. 523–530, 2018
Boundary-Aware Transformers for Skin Lesion Segmentation
J Wang, L Wei, L Wang, Q Zhou, L Zhu, J Qin
MICCAI, 2021, 206-216, 2021
Global guidance network for breast lesion segmentation in ultrasound images
C Xue, L Zhu, H Fu, X Hu, X Li, H Zhang, PA Heng
Medical image analysis, 2021 70, 101989, 2021
Deep Multi-Model Fusion for Single-Image Dehazing
Z Deng, L Zhu, X Hu, CW Fu, X Xu, Q Zhang, J Qin, PA Heng
ICCV, 2019, pp. 2453–2462, 2019
High-quality exposure correction of underexposed photos
Q Zhang, G Yuan, C Xiao, L Zhu, WS Zheng
ACM MM, 2018, 582-590, 2018
Comparative validation of multi-instance instrument segmentation in endoscopy: results of the ROBUST-MIS 2019 challenge
T Roß, A Reinke, PM Full, M Wagner, H Kenngott, M Apitz, H Hempe, ...
Medical image analysis 70, 101920, 2021
Fast Camouflaged Object Detection via Edge-based Reversible Recalibration Network
GP Ji, L Zhu, M Zhuge, K Fu
Pattern Recognition, 2021, 2021
Deep texture-aware features for camouflaged object detection
J Ren, X Hu, L Zhu, X Xu, Y Xu, W Wang, Z Deng, PA Heng
IEEE Transactions on Circuits and Systems for Video Technology, 2023, 2023
From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data
Y Liu, L Zhu, S Pei, H Fu, J Qin, Q Zhang, L Wan, W Feng
ACM International Conference on Multimedia, 2021, pp. 50-58, 2021
Multiscale geodesic active contours for ultrasound image segmentation using speckle reducing anisotropic diffusion
W Wang, L Zhu, J Qin, YP Chui, BN Li, PA Heng
Optics and Lasers in Engineering 54, 105-116, 2014
The system can't perform the operation now. Try again later.
Articles 1–20