About me

Short Bio.

I am currently working as a postdoctoral researcher at Department of Applied Mathematics and Theoretical Physics, University of Cambridge under the supervision of Prof. Carola-Bibiane Schönlieb. I received my PH.D. at Department of Computer Science and Engineering, the Chinese University of Hong Kong with the supervision from Prof. Pheng-Ann Heng and Prof. Chi-Wing Fu, Philip in 2017. My research interest includes computer vision, computer graphics, image/video restoration, medical AI, and deep learning.

Contact Info.

Lei Zhu, Henry
Centre for Mathematical Sciences,
Department of Applied Mathematics and Theoretical Physics,
University of Cambridge,
CAMBRIDGE, CB3 0WA, United Kingdom
lz437[at]cam[dot]ac[dot]uk
lzhu[at]cse[dot]cuhk[dot]edu[dot]hk
Google Scholar DBLP

News

  • -(12-2021) New homepage
  • -(07-2021) One paper accepted by ICCV 2021.
  • -(07-2021) One paper accepted by ACM MM 2021.
  • -(05-2021) One paper accepted by MICCAI 2021.
  • -(03-2021) One paper accepted by IEEE TMM.
  • -(03-2021) Two papers accepted by CVPR 2021.
  • -(02-2021) Invited as area chair of ACM MM 2021.

               Selected Research Publications

            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)

To appear in IEEE Conference on Computer Vision ( ICCV ), 2021.

[Github]    [Dataset]   

Triple-cooperative Video Shadow Detection

Zhihao Chen, Liang Wan, Lei Zhu, Jia Shen, Huazhu Fu, Wennan Liu, and Jing Qin

IEEE/CVF Conference on Computer Vision and Pattern Recognition ( 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

IEEE/CVF Conference on Computer Vision and Pattern Recognition ( CVPR ), pp. 7752-7761, 2021.

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)

To appear in ACM MM , 2021.

[Github]   

Boundary-aware Transformers for Skin Lesion Segmentation

Jiacheng Wang, Wei Lan, Liansheng Wang, Qichao Zhou, Lei Zhu, and Jing Qin

To appear in MICCAI , 2021.

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]   

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]   

A Blind Color Separation Model for Faithful Palette-based Image Recoloring

Qing Zhang, Yongwei Nie, Lei Zhu, Chunxia Xiao, and Wei-Shi Zheng

To appear in IEEE Transactions on Multimedia (TMM), 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.

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 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]   

            2020:

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)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5611--5620, 2020.

[Github]   

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.

Learning to Detect Specular Highlights from Real-world Images

Gang Fu, Qing Zhang, Qifeng Lin, Lei Zhu, Chunxia Xiao

ACM International Conference on 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.

$\Psi$-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.

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.

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.

            2019:

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)

IEEE International Conference on Computer Vision (ICCV), pp. 2453–2462, 2019.

[Github]   

Depth-attentional Features for Single-image Rain Removal

Xiaowei Hu, Chi-Wing Fu, Lei Zhu, and Pheng-Ann Heng

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 8022–8031, 2019.

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 Transactions 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 Transactions on Medical Imaging (TMI), Vol. 38, No. 12, pp. 2768--2778. 2019.

            2018:

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

European Conference on Computer Vision (ECCV), pp. 121–136, 2018.

Project page (Github)   

Direction-aware Spatial Context Features for Shadow Detection

Xiaowei Hu^, Lei Zhu^, Chi-Wing Fu, Jing Qin, and Pheng-Ann Heng (^ joint 1st authors)

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 7454–7462, 2018 (Oral).

Project page (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.

Project page (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), Vol. 37, No. 7, pp. 155-166, 2018.

Project page (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.

Project page (Github)   

Deep 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.

Project page (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.

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.

            Before 2018:

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.

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.

Project page   

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.

Project page   

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.

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.

Ultrasound Speckle reduction via L0 Minimization

Lei Zhu, Weiming Wang, Xiaomeng Li, Qiong Wang, Jing Qin, Kin-Hong Wong, and Pheng-Ann Heng

Asia Conference on Computer Vision (ACCV), 2016.

Human tracking and counting using the kinect range sensor based on adaboost and kalman filter

Lei Zhu, Kin-Hong Wong

International Symposium on Visual Computing, 2013.

Teaching Assistant

  • 2016-2017 Spring     CMSC 5711,        Image Processing and Computer Vision.
  • 2015-2016 Spring     CSCI 2100B,     Data Structures.
  • 2015-2016 Spring     CMSC 5711,       Image Processing and Computer Vision.
  • 2015-2016 Fall           CSCI 3260,      Principles of Computer Graphics.
  • 2014-2015 Spring     CSCI 5210,        Advanced Topics in Computer Graphics and Visualization.
  • 2014-2015 Fall           CSCI 5460,       Virtual Reality.

Academic Service

  • Area Chair; ACM Multimedia 2021.
  • Conference reviewer: CVPR 2019-2021, AAAI 2020-2021, WACV2021, MICCAI 2020-2021, ECCV 2020, ICCV 2019-2021, ACCV 2018, etc.
  • Journal reviewer: IEEE TIP, IEEE TMM, IEEE TCSVT, IEEE TNNLS, IEEE TMI, IEEE TBME, etc.