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Ruimao Zhang

Research Assistant Professor ( Computer Vision, Deep Learning )

School of Data Science , The Chinese University of Hong Kong, Shenzhen (CUHKSZ)

Shenzhen Research Institue of Big Data

Google Scholar, Semantic Scholar

News


  • News! We have opening positions for Ph.D., M.phil., Research Assistant and Visiting Student, which are waiting for self-motivated talents. Please drop me an email via ruimao.zhang@ieee.org or zhangruimao@cuhk.edu.cn. More details about the recruitment and undergraduate research programme, please see here.

  • News! Undergraduate Research Programme: (1) two positions for healthcare AI; (2) one position for cloud point analysis by using Transformer; (3) one position for human-centered generative models and applications. If you are interested in the above topics, feel free to contact me.

  • 2021-05-05: A long version of polar representation for object detection is accepted by T-PAMI. Congrats to all!

  • 2021-04-29: One paper is accepted by IJCAI2021. Congrats to Weibing and Yanxu!

  • 2021-03-01: One paper is accepted by CVPR2021. Congrats to Yuying!

  • 2021-02-18: I move to CUHKSZ as a Research Assistant Professor.

  • 2020-12: One paper is accepted by AAAI2021.

  • 2020-08: We won the First Prize in 2020 AIM Challenge on Learned Image Signal Processing Pipeline, Track 2.

  • 2020-07: Two papers are accepted by ECCV2020 and MICCAI2020, respectively.

  • 2020-02: Two papers are accepted by CVPR2020.

  • 2019-08: A long version of SwitchNorm was presented in T-PAMI. Two papers are accepted by ICCV2019.

  • 2019-05: I am organizing the second workshop in Fashion and Art.

  • 2019-04: One paper is accepted by ICML2019.

  • My researches aim at (1) solving complex computer vision tasks with limited computing resources, available data and annotations, (2) understanding foundations of deep models and developing various efficient modules and algorithms, and (3) pursuing real AI applications such as scene and video understanding, 3D vision, smart healthcare, mobile systems, and autonomous robotics

    BIOGRAPHY


    “The weak and ignorance is not a barrier to survive, arrogance is"

    ---《The Three-Body Problem》 Cixin Liu

    “No human nature, people will lose a lot; no bestiality, people will not survive“

    ---《The Three-Body Problem》 Cixin Liu

    Education

  • The Chinese University of Hong Kong, Hong Kong, China. May. 2017 ~ Jul. 2019.
         Postdoctorial Fellow in Multimedia Lab, worked with Prof. Xiaogang Wang ( co-founder of SenseTime ) and Prof. Ping Luo.

  • Sun Yat-sen University, Guangzhou, China. Dec. 2016.
         Ph.D. in Computer Science and Technology, advised by Prof. Liang Lin ( co-founder of DMAI ).

  • Sun Yat-sen University, Guangzhou, China. Jul. 2011.
         B.E. in Software Engineering.

  • Experience

  • The Chinese University of Hong Kong, Shenzhen, China. Feb. 2021 ~ Present,
          Research Assistant Professor, School of Data Science.

  • Shenzhen Research Institue of Big Data, Shenzhen, China. Feb. 2021 ~ Present,
          Research Scientist, Medical Big Data Group.

  • SenseTime Research, Shenzhen, China. Jul. 2019 ~ Jan. 2021,
          Senior Researcher, report to Dr. Jinwei Gu in SenseBrain, USA.

  • The Hong Kong Polytechnic University, HongKong, China. Aug. 2013 ~ Feb. 2014.
          Visiting Ph.D. Student, advised by Prof. Lei Zhang ( Distinguish Scientist in DAMO Academy ) and Prof. Wangmeng Zuo.

  • Sun Yat-sen University, Guangzhou, China. Dec. 2010 ~ Jul. 2011.
          Research Assistant, advised by Prof. Liang Lin.

  • Awards and Honours

  • AIM Challenge on Learned Image Signal Processing Pipeline, Track 2, First Prize, 2020

  • Best Paper Nomination Award of SenseTime Group Ltd., 2020

  • Google Youtube 8M Video Understanding Challenge, Golden Metal (1.5%), 2017

  • National Scholarship for Postgraduate, 2015

  • The National College IOT Innovation Competition, Third Prize, 2012

  • Excellent Student Scholarship of Sun Yat-sen University, 2008 ~ 2010

  • Academic Activity

  • Academic Service:
          Executive Area Chair, Vision And Learning SEminar (VALSE), China

  • Reviewer for Conferences:
          NeurIPS2021, ICCV2021, CVPR2021, ICLR2021, AAAI2021, NeurIPS2020, ICCV2019, CVPR2019, ICME2016

  • Reviewer for Journals:
         T-PAMI ( IEEE Trans. on PAMI ), IJCV, T-NNLS, T-IP, T-MM, T-CSVT, T-DSC, T-IFS, Pattern Recognition, Neurocomputing

  • Workshop Organizer:
          "Computer Vision for Fashion, Art, and Design" at ICCV2019 and CVPR 2020.

  • PUBLICATION


    Newly Accepted Articles

    (* indicates corresponding author)

    1. Enze Xie, Wenhai Wang, Mingyu Ding, Ruimao Zhang, Ping Luo, "PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyond“, IEEE Transactions on Pattern Analysis and Machine Intelligence ( T-PAMI ), 2021( A Long Version of Polar Representation for Single-Shot Object Detection!)

    2. Weibing Zhao, Xu Yan, Jiantao Gao, Ruimao Zhang, Jiayan Zhang, Zhen Li, Song Wu, Shuguang Cui, "PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery" Proc. of International Joint Conference on Artificial Intelligence ( IJCAI ), 2021 (Effective Solution for Point Cloud Compression and Recovery )

    3. Yuying Ge, Yibing Song, Ruimao Zhang, Congjian Ge, Wei Liu, Ping Luo, "Parser-Free Virtual Try-on via Distilling Appearance Flows" Proc. of IEEE International Conference on Computer Vision and Pattern Recognition ( CVPR ), 2021 (Photo-Realistic Virtual Try-on without Parsing Model )

    4. Xu Yan, Jiantao Gao, Jie Li, Ruimao Zhang, Zhen Li, Rui Huang, Shuguang Cui, "Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion" Proc. of AAAI Conference on Artificial Intelligence ( AAAI ), 2021 (Joint Optimization of Point Cloud Segmentation and Completion)

    5. Ruimao Zhang, Zhanglin Peng, Lingyun Wu, Zhen Li, Ping Luo, " Exemplar Normalization for Learning Deep Representation ", Proc. of IEEE International Conference on Computer Vision and Pattern Recognition ( CVPR ), 2020 (From Static Learning-to-Normalize to Dynamic One)

    6. Han Yang, Ruimao Zhang, Xiaobao Guo, Wei Liu, Wangmeng Zuo, Ping Luo, "Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content", Proc. of IEEE International Conference on Computer Vision and Pattern Recognition ( CVPR ), 2020 (The SOTA Virtual Try-On Framework)

    7. Yuanfeng Ji, Ruimao Zhang, Zhen Li, Jiamin Ren, Shaoting Zhang, Ping Luo, "UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation" Proc. of Medical Image Computing and Computer-Assisted Interventions ( MICCAI ), 2020 ( Oral ) (Single Path NAS for Multi-level Feature Aggregation)

    Recent Selected Publications ( See Full List )

    (* indicates corresponding author)

    1. Enze Xie, Wenhai Wang, Mingyu Ding, Ruimao Zhang, Ping Luo, "PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyond“, IEEE Transactions on Pattern Analysis and Machine Intelligence ( T-PAMI ), 2021 ( IF:17.86 )

    2. Ping Luo, Ruimao Zhang*, Jiamin Ren, Zhanglin Peng, Jingyu Li, "Switchable Normalization for Learning-to-Normalize Deep Representation", IEEE Transactions on Pattern Analysis and Machine Intelligence ( T-PAMI ), 43(2):712-728, 2021 ( IF:17.86 ) 【PDF】【Code

    3. Ruimao Zhang, Liang Lin, Guangrun Wang, Meng Wang, Wangmeng Zuo, “Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions”, IEEE Transactions on Pattern Analysis and Machine Intelligence ( T-PAMI ), 41(3):596 - 610, 2019 ( IF:17.86 ) 【PDF

    4. Ruimao Zhang, Jingyu Li, Hongbin Sun, Yuying Ge, Ping Luo, Xiaogang Wang, Liang Lin, “SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification”, IEEE Transactions on Image Processing ( T-IP ), 28(10):4870-4882, 2019 【PDF】【Code

    5. Ruimao Zhang, Wei Yang, Zhanglin Peng, Pengxu Wei, Xiaogang Wang, Liang Lin, “Progressively Diffused Networks for Semantic Visual Parsing”, Pattern Recognition ( PR ), 90:78-86, 2019 【PDF

    6. Di Lin, Ruimao Zhang, Yuanfeng Ji, Ping Li, Hui Huang, “SCN: Switchable Context Network for Semantic Segmentation of RGB-D Images”, IEEE Transactions on Cybernetics ( T-CYB ), 50(3):1120-1131, 2020 【PDF

    7. Ruimao Zhang, Liang Lin, Rui Zhang, Wangmeng Zuo, Lei Zhang “Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification” IEEE Transactions on Image Processing ( T-IP ), 24(12):4766-4779, 2015 ( ESI Highly Cited Paper ) 【PDF】【Code

    8. Ruimao Zhang, Zhanglin Peng, Lingyun Wu, Zhen Li, Ping Luo, " Exemplar Normalization for Learning Deep Representation ", Proc. of IEEE International Conference on Computer Vision and Pattern Recognition ( CVPR ), 2020 【PDF】【Supp

    9. Han Yang, Ruimao Zhang, Xiaobao Guo, Wei Liu, Wangmeng Zuo, Ping Luo, "Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content", Proc. of IEEE International Conference on Computer Vision and Pattern Recognition ( CVPR ), 2020 【PDF】【Code

    10. Yuanfeng Ji, Ruimao Zhang, Zhen Li, Jiamin Ren, Shaoting Zhang, Ping Luo, "UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation" Proc. of Medical Image Computing and Computer-Assisted Interventions ( MICCAI ), 2020 ( Oral ) 【PDF】【Code】

    11. Yuying Ge, Ruimao Zhang, Xiaogang Wang, Xiaoou Tang, Ping Luo, “DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images”, in Proc. of IEEE International Conference on Computer Vision and Pattern Recognition ( CVPR ), 2019 ( Recommended by LeCun on Twitter ) 【PDF】【Dataset

    MEMBER


    Ph.D. Students

    Coming Soon ...

    MPhil Students

    Person
    Weijie Ma

    MPhil, since 2021, co-supervised with Prof. Zhen Li

    Scene Understanding, Medical Image Analysis

    Visiting Students

    Person
    Qi Liu

    Ph.D., City University of Hong Kong

    Multimodal Vision Analysis, Continuous Learning

    Person
    Ziyi Tang

    M.S., University of Southampton

    Temporal Modeling, Video Analysis, Multimodal Learning

    Person
    Hao Zhang

    M.S., University of Southern California

    Object Detection, Person Search, Weakly Supervised Learning

    Person
    Yizhan Huang

    B.S., Chinese University of Hong Kong

    Domain Adaptation, Medical Image Analysis

    Person
    Jianyuan Zhong

    B.S., University of Rochester

    Transformer, Contrastive Learning

    Other Cooperative Students

    Person
    Yuanfeng Ji

    MPhil, since 2020, The University of Hong Kong

    Person
    Zhanglin Peng

    Ph.D., since 2020, The University of Hong Kong

    Person
    Han Yang

    M.S., since 2020, ETH Zürich

    Alumni

  • Huijie Wang ( M.S., Technische Universität München ), Visiting Student, Jul. 2020 ~ Feb. 2021, Medical Image Analysis

  • TEACHING


  • MDS5102: Python Programming. Fall 2021
          Instructor, The Chinese University of Hong Kong, Shenzhen.

  • CSC1001: Introduction to Programming: Python. Fall 2021
          Instructor, The Chinese University of Hong Kong, Shenzhen.

  • CSC1001: Introduction to Programming: Python. Spring 2021
          Instructor, The Chinese University of Hong Kong, Shenzhen.

  • Computer Vision. Fall 2013
          Teaching Assistant, Sun Yat-sen University.

  • Lineare Algebra. Fall 2012
          2+2 International Undergraduate Program, all in English.
          Teaching Assistant, Sun Yat-sen University.

  • Data Structure. Fall 2011
          Teaching Assistant, Sun Yat-sen University.

  • CONTRACT ME


    Address: Room 517, Daoyuan Building, The Chinese Univeristy of Hong Kong, Shenzhen
    E-mail: ruimao.zhang@ieee.org or zhangruimao@cuhk.edu.cn
    Phone: (0755)23517042