Selected Publications:
Summary: CVPR/ICCV/ECCV (13) + IEEE TPAMI (2), IEEE Transactions (20), AAAI/IJCAI/ACM MM (7).
Healthcare: MICCAI (10), IEEE TMI (4), Medical Image Analysis (2).
Vision:
Rethinking Video Rain Streak Removal: A New Synthesis Model and A Deraining Network with Video Rain Prior
To appear in ECCV, 2022.
Phase-based Memory Network for Video Dehazing
To appear in ACM MM, 2022.
Video Instance Lane Detection via Deep Temporal and Geometry Consistency Constraints
To appear in ACM MM, 2022.
Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images
Xiaoqiang Wang, Lei Zhu, Siliang Tang, Huazhu Fu, Ping Li, Fei Wu, Yi Yang, and Yueting Zhuang
IEEE Transactions on Image Processing (TIP), Vol.31, pp. 1107 - 1119, 2022.
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning
Xiaoxiao Liang, Yiqun Lin, Huazhu Fu, Lei Zhu, Xiaomeng Li
CVPR, pp. 10154-10163, 2022.
A Blind Color Separation Model for Faithful Palette-based Image Recoloring
Qing Zhang, Yongwei Nie, Lei Zhu, Chunxia Xiao, and Wei-Shi Zheng
IEEE Transactions on Multimedia (TMM), Vol. 24, pp. 1545–1557, 2022.
- Unsupervised Intrinsic Image Decomposition Using Internal Self-similarity Cues
Qing Zhang, Jin Zhou, Lei Zhu, Wei Sun, Chunxia Xiao, and Wei-Shi Zheng
To appear in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
- VIL-100: A New Dataset and A Baseline Model for Video Instance Lane Detection
Yujun Zhang^, Lei Zhu^, Wei Feng, Huazhu Fu, Mingqian Wang, Qingxia Li, Cheng Li, and
Song Wang (^ joint 1st authors), ICCV, pp. 15681-15690, 2021. [GitHub] [Dataset]
- Triple-cooperative Video Shadow Detection
Zhihao Chen, Liang Wan, Lei Zhu#, Jia Shen, Huazhu Fu, Wennan Liu, and Jing Qin
CVPR, pp. 2715-2724, 2021. [GitHub] [Dataset]
A Multi-Task Network for Joint Specular Highlight Detection and Removal
Gang Fu, Qing Zhang, Lei Zhu, Ping Li, and Chunxia Xiao
CVPR, pp. 7752-7761, 2021. [GitHub]
From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data
Ye Liu^, Lei Zhu^, Shunda Pei, Huazhu Fu, Jing Qin, Qing Zhang, Liang Wan, and Wei Feng (^ joint 1st authors)
ACM MM, pp. 50-58, 2021. [GitHub] (Oral Presentation)
S^3Net: Self-supervised Self-ensembling Network for Semi-supervised RGB-D Salient Object Detection
Lei Zhu, Xiaoqiang Wang, Ping Li, Xin Yang, Qing Zhang, Weiming Wang, Carola-Bibiane Sch\"{o}nlieb,
and C. L. Philip Chen. To appear in IEEE Transactions on Multimedia (TMM), 2021.
Single-Image Real-Time Rain Removal Based on Depth-Guided Non-Local Features
Xiaowei Hu, Lei Zhu, Tianyu Wang, Chi-Wing Fu, and Pheng-Ann Heng
IEEE Transactions on Image Processing (TIP), Vol. 30, pp. 1759 - 1770, 2021. [GitHub]
Fast Camouflaged Object Detection via Edge-based Reversible Recalibration Network
Ge-Peng Ji, Lei Zhu, Mingchen Zhuge, and Keren Fu
Accepted for publication in Pattern Recognition (PR), 2021.
DNF-Net: a Deep Normal Filtering Network for Mesh Denoising
Xianzhi Li, Ruihui Li, Lei Zhu, Chi-Wing Fu, and Pheng-Ann Heng
IEEE Transactions on Visualization and Computer Graphics (TVCG),
Vol. 27, No.10, pp.4060-4072, 2021.
Deep Sub-region Network for Salient Object Detection
Liansheng Wang, Rongzhen Chen, Lei Zhu, Haoran Xie, and Xiaomeng Li
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT),
Vol. 31, No. 2, pp. 728-741, 2021. [GitHub]
SAC-Net: Spatial Attenuation Context for Salient Object Detection
Xiaowei Hu, Chi-Wing Fu, Lei Zhu, Tianyu Wang, and Pheng-Ann Heng
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT),
Vol. 31, No. 3, pp. 1079-1090, 2021. [GitHub]
Learning Gated Non-local Residual for Single-image Rain Streak Removal
Lei Zhu, Zijun Deng, Xiaowei Hu, Haoran Xie, Xuemiao Xu, Jing Qin, and Pheng-Ann Heng
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT),
Vol. 31, No. 6, pp. 2147–2159, 2021.
Deep Texture-Aware Features for Camouflaged Object Detection
Jingjing Ren, Xiaowei Hu, Lei Zhu, Xuemiao Xu, Yangyang Xu, Weiming Wang, Zijun Deng, and Pheng-Ann Heng
To appear in IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021.
- A Multi-task Mean Teacher for Semi-supervised Shadow Detection
Zhihao Chen^, Lei Zhu^, Liang Wan, Song Wang, Wei Feng, and Pheng-Ann Heng (^ joint 1st authors)
Learning to Detect Specular Highlights from Real-world Images
Gang Fu, Qing Zhang, Qifeng Lin, Lei Zhu, Chunxia Xiao
ACM Multimedia ( ACM MM ), pp. 1873–1881, 2020.
Enhancing Underexposed Photos using Perceptually Bidirection Similarity
Qing Zhang, Yongwei Nie, Lei Zhu, Chunxia Xiao, and Wei-Shi Zheng
IEEE Transactions on Multimedia (TMM), Vol. 23, pp. 189–202, 2020.
Saliency-aware Texture Smoothing
Lei Zhu, Xiaowei Hu, Chi-Wing Fu, Jing Qin, and Pheng-Ann Heng
IEEE Transactions on Visualization and Computer Graphics (TVCG), Vol. 26, No. 7, pp. 2471–2484, 2020.
Aggregating Attentional Dilated Features for Salient Object Detection
Lei Zhu, Jiaxing Chen, Xiaowei Hu, Chi-Wing Fu, Xuemiao Xu, Jing Qin, and Pheng-Ann Heng
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT),
Vol. 30, No. 10, pp. 3358–3371, 2020. [GitHub]
Direction-aware Spatial Context Features for Shadow Detection and Removal
Xiaowei Hu, Chi-Wing Fu, Lei Zhu, Jing Qin, and Pheng-Ann Heng
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),
Vol. 42, No. 11, pp. 2795–2808, 2020. [GitHub]
Deep Multi-Model Fusion for Single-Image Dehazing
Zijun Deng^, Lei Zhu^, Xiaowei Hu, Chi-Wing Fu, Xuemiao Xu, Qing Zhang, Jing Qin,
and Pheng-Ann Heng (^ joint 1st authors) [GitHub] [Code]
ICCV, pp. 2453–2462, 2019.
- Depth-attentional Features for Single-image Rain Removal
Xiaowei Hu, Chi-Wing Fu, Lei Zhu, and Pheng-Ann Heng
CVPR, pp. 8022–8031, 2019
- Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection
Lei Zhu, Zijun Deng, Xiaowei Hu, Chi-Wing Fu, Xuemiao Xu, Jing Qin, and Pheng-Ann Heng
ECCV, pp. 121–136, 2018. [Github] [Paper]
- Direction-aware Spatial Context Features for Shadow Detection
Xiaowei Hu^, Lei Zhu^, Chi-Wing Fu, Jing Qin, and Pheng-Ann Heng (^ joint 1st authors)
CVPR, pp. 7454–7462, 2018. (Oral) [Github]
- Recurrently Aggregating Deep Features for Salient Object Detection
Xiaowei Hu^, Lei Zhu^, Jing Qin, Chi-Wing Fu, and Pheng-Ann Heng (^ joint 1st authors)
AAAI Conference on Artificial Intelligence (AAAI), pp. 6943–6950, 2018. (Spotlight) [Github]
- Non-Local Low-Rank Normal Filtering for Mesh Denoising
XianZhi Li, Lei Zhu, Chi-Wing Fu and Pheng-Ann Heng
Computer Graphics Forum (special issue on Pacific Graphics 2018), Vol. 37, No. 7, pp. 155–166, 2018. [Github]
- R^3Net: Recurrent Residual Refinement Network for Saliency Detection
Zijun Deng, Xiaowei Hu, Lei Zhu, Xuemiao Xu, Jing Qin, Guoqiang Han, and Pheng-Ann Heng
International Joint Conference on Artificial Intelligence (IJCAI), pp. 684–690, 2018. [Github]
- High-Quality Exposure Correction of Underexposed Photos
Qing Zhang, Ganzhao Yuan, Chunxia Xiao, Lei Zhu, and Wei-Shi Zheng
ACM International Conference on Multimedia (ACM MM), pp. 582–590, 2018. [Github]
- Joint Bi-layer Optimization for Single-image Rain Streak Removal
Lei Zhu, Chi-Wing Fu, Dani Lischinski, and Pheng-Ann Heng
International Conference on Computer Vision (ICCV), pp. 2526–2534, 2017.
- Non-Local Sparse and Low-Rank Regularization for Structure-Preserving Image Smoothing
Lei Zhu, Chi-Wing Fu, Yueming Jin, Mingqiang Wei, Jing Qin, and Pheng-Ann Heng
Computer Graphics Forum (special issue on Pacific Graphics 2016), 35(7), 2016. [Homepage]
- Coarse-to-Fine Normal Filtering for Feature‐Preserving Mesh Denoising Based on Isotropic Subneighborhoods
Lei Zhu, Mingqiang Wei, Jinze Yu, Weiming Wang, Jing Qin, and Pheng-Ann Heng
Computer Graphics Forum (special issue on Pacific Graphics 2013), 32(7): 371–380, 2013.
Healthcare:
A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos
Zhi Lin, Junhao Lin, Lei Zhu, Huazhu Fu, Jing Qin, and Liansheng Wang
To appear in MICCAI, 2022.
Rethinking Breast Lesion Segmentation in Ultrasound: A New Video Dataset and A Baseline Network
Jialu Li, Qingqing Zheng, Mingshuang Li, Ping Liu, Qiong Wang, Litao Sun, and Lei Zhu.
To appear in MICCAI, 2022.
NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation
Zhaohu Xing, Lequan Yu, Liang Wan, Tong Han, and Lei Zhu.
To appear in MICCAI, 2022.
Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning
Tianling Liu, Wennan Liu, Lequan Yu, Liang Wan, Tong Han, and, Lei Zhu.
To appear in MICCAI, 2022.
Reinforcement Learning Driven Intra-modal and Inter-modal Representation Learning for 3D MedicalImage Classification
Zhonghang Zhu, Liansheng Wang, Baptiste Magnier, Lei Zhu, Defu Zhang, and Lequan Yu.
To appear in MICCAI, 2022.
Mixed-weight Neural Bagging for Detecting m$^{6}$A Modifications in SARS-CoV-2 RNA Sequencing
Ruhan Liu, Liang Ou, Bin Sheng, Ping Li, ..., Lei Zhu, ... and David Dagan Feng
To appear in IEEE Transactions on Biomedical Engineering (TBME), 2022.
DOI: 10.1109/TBME.2022.3150420
Boundary-aware Transformers for Skin Lesion Segmentation
Jiacheng Wang, Wei Lan, Liansheng Wang, Qichao Zhou, Lei Zhu, and Jing Qin
MICCAI, pp. 206-216, 2021. [GitHub]
Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images
Cheng Xue, Lei Zhu, Huazhu Fu, Xiaowei Hu, Xiaomeng Li, Hai Zhang, and Pheng-Ann Heng
Medical Image Analysis ( MIA ), Vol.70, 101989, 2021. [GitHub]
Comparative validation of multi-instance instrument segmentation in endoscopy: results of the ROBUST-MIS 2019 challenge
Tobias Ro, ... Lei Zhu, ... Medical Image Analysis (MIA), Vol.70, 101920, 2021.
A Second-order Subregion Pooling Network for Breast Ultrasound Lesion Segmentation
Lei Zhu, Rongzhen Chen, Huazhu Fu, Cong Xie, Liansheng Wang, Liang Wan, and Pheng-Ann Heng
MICCAI, pp. 160–170, 2020.
Shape Mask Generator: Learning to Refine Shape Priors for Segmenting Overlapping Cervical Cytoplasms
Youyi Song, Lei Zhu, Baiying Lei, Bin Sheng, Qi Dou, Jing Qin, and Kup-Sze Choi
MICCAI, pp. 639–649, 2020.
$\Psi$-Net: Stacking Densely Convolutional LSTMs for Sub-cortical Brain Structure Segmentation
Lihao Liu, Xiaowei Hu, Lei Zhu, Chi-Wing Fu, Jing Qin, and Pheng-Ann Heng
IEEE Transactions on Medical Imaging (TMI), Vol. 39, No. 9, pp. 2806–2817, 2020. [GitHub]
Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading
Xiaomeng Li, Xiaowei Hu, Lequan Yu, Lei Zhu, Chi-Wing Fu, and Pheng-Ann Heng
IEEE Transactions on Medical Imaging (TMI), Vol. 39, No. 5, pp. 1483–1493, 2020.
- Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration
Lihao Liu, Xiaowei Hu, Lei Zhu, and Pheng-Ann Heng
MICCAI, pp. 346–354, 2019.
- Segmentation of Overlapping Cytoplasm in Cervical Smear Images via Adaptive Shape Priors Extracted from Contour Fragments
Youyi Song, Lei Zhu, Jing Qin, Baiying Lei, Bin Sheng, and Kup-Sze Choi
IEEE Transaction on Medical Imaging (TMI), Vol. 38, No. 12, pp. 2849–2862, 2019
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound
Yi Wang, Haoran Dou, Xiaowei Hu, Lei Zhu, Xin Yang, Jing Qin, Pheng-Ann Heng, Tianfu Wang, and Dong Ni
IEEE Transaction on Medical Imaging (TMI), Vol. 38, No. 12, pp. 2768–2778, 2019
- Attentional Features for Prostate Segmentation in Ultrasound
Yi Wang, Zijun Deng, Xiaowei Hu, Lei Zhu, Xin Yang, Xuemiao Xu, Pheng-Ann Heng, and Dong Ni.
MICCAI, pp. 523–530, 2018. [Github]
A Non-Local Low-Rank Framework for Ultrasound Speckle Reduction
Lei Zhu, Chi-Wing Fu, Michael S. Brown, and Pheng-Ann Heng
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5650–5658, 2017. [Homepage]
Feature-Preserving Ultrasound Speckle Reduction via L0 Minimization
Lei Zhu, Weiming Wang, Xiaomeng Li, Qiong Wang, Jing Qin, Kin-Hong Wong, Kup-Sze Choi, Chi-Wing Fu, and Pheng-Ann Heng.
Neurocomputing, 294: 48-60, 2018.
- Fast Feature-Preserving Speckle Reduction for Ultrasound Images via Phase Congruency
Lei Zhu, Weiming Wang, Jing Qin, Kin-Hong Wong, Kup-Sze Choi, and Pheng-Ann Heng
Signal Processing, 134: 275–284 (2017).