Zhao Zhang (张 钊)

I'm currently a computer vision researcher in the SmartCity Group of SenseTime. Before that, I received my master degree at Nankai University, supervised by Prof Ming-Ming Cheng. Contact me by (📮: zzhang🥳mail🔅nankai🔅edu🔅cn)

You can also find me in and

Recent News

  • [08/2022] One paper were accpted by ECCV 2022.
  • [07/2022] Two papers were accpted by ACM MM 2022.
  • [06/2022] One paper was accpted by CVMJ.
  • [03/2022] One paper was accpted by CVPR 2022 as oral presentation.
  • [03/2022] I have served as a reviewer for ECCV.
  • [11/2021] I have served as a reviewer for CVPR.
  • [04/2021] I have served as a reviewer for ACM MM.
  • [02/2021] I have served as a reviewer for ICCV.
  • [01/2021] I have served as a reviewer for IEEE TIP.
  • [12/2020] I am working as an intern in Tencent Youtu Lab.
  • [12/2020] One paper was accpted by TIP 2021.
  • [11/2020] I have served as a reviewer for IEEE TCSVT.
  • [08/2020] I have served as a reviewer for IEEE Transactions on Medical Imaging (TMI).
  • [07/2020] One paper was accpted by ECCV 2020.
  • [05/2020] One paper was accpted by TNNLS 2020.
  • [04/2020] One paper was accpted by CVPR 2020.
  • [09/2019] I have joined the Media Computing Lab under the supervision of Prof. Ming-Ming Cheng!
  • [06/2019] I graduated from Yangzhou University, and received my bachelor degree.
  • [02/2018] One paper was accpted by ICASSP 2018.
  • [07/2017] Two paper were accpted by ICONIP 2017, one of which is an oral paper.

Experiences

  • Researcher in Computer Vision
    Incoming
    Smart City Group (SCG)
    SenseTime
  • Internship in Computer Vision
    2020 - 2021
    Youtu Lab
    CSIG, Tencent
  • M.S. in Computer Science
    2019 - Now
    Media Computing Lab (supervised by Prof Ming-Ming Cheng)
    School of Computer Science, Nankai University
  • B.S. in Computer Science
    2015 - 2019
    College of Innovation and Entrepreneurship (Elite College)
    School of Information Engineerin, Yangzhou University

Publications

    Interactive Style Transfer: All is Your Palette
    Zheng Lin, Zhao Zhang, Kang-Rui Zhang, Bo Ren, Ming-Ming Cheng
    arXiv   [PDF] [Code] [中译版] [bib]

    Image Harmonization by Matching Regional References
    Ziyue Zhu, Zhao Zhang, Zheng Lin, Ruiqi Wu, Chunle Guo
    arXiv   [PDF] [Code] [中译版] [bib]

    Multi-Mode Interactive Image Segmentation
    Zheng Lin, Zhao Zhang*, Ling-Hao Han, Shao-Ping Lu
    ACM MM 2022   [PDF] [Code] [中译版]

    KnifeCut: Refining Thin Part Segmentation with Cutting Lines
    Zheng Lin, Zheng-Peng Duan, Zhao Zhang, Chunle Guo, Ming-Ming Cheng
    ACM MM 2022 (Oral)   [PDF] [Code] [中译版]

    Sequential Interactive Image Segmentation
    Zheng Lin, Zhao Zhang, Zi-Yue Zhu, Deng-Ping Fan, Xia-Lei Liu
    CVMJ 2022   [PDF] [Code] [中译版]

    FocusCut: Diving into a Focus View in Interactive Segmentation
    Zheng Lin, Zheng-Peng Duan, Zhao Zhang, Chun-Le Guo, Ming-Ming Cheng
    CVPR 2022 (Oral)   [PDF] [Code] [中译版] [bib]

    Bilateral Attention Network for RGB-D Salient Object Detection
    Zhao Zhang, Zheng Lin, Jun Xu, Wenda Jin, Shao-Ping Lu, and Deng-Ping Fan
    TIP 2021   [PDF] [Code] [bib]

    Rethinking RGB-D Salient Object Detection: Models, Datasets, and Large-Scale Benchmarks
    Deng-Ping Fan, Zheng Lin, Zhao Zhang, Menglong Zhu, Ming-Ming Cheng
    TNNLS 2020   [PDF] [Code] [Project] [bib]

    Interactive Image Segmentation with First Click Attention
    Zheng Lin, Zhao Zhang, Lin-Zhuo Chen, Ming-Ming Cheng, Shao-Ping Lu
    CVPR 2020   [PDF] [Code] [Project] [bib]

    Low Resolution Face Recognition and Reconstruction via Deep Canonical Correlation Analysis
    Zhao Zhang Yun-Hao Yuan, Xiao-bo Shen, Yun Li
    ICASSP 2018   [PDF] [bib]

    Face Hallucination and Recognition Using Kernel Canonical Correlation Analysis
    Zhao Zhang Yun-Hao Yuan, Yun Li, Bin Li, Ji-Peng Qiang
    ICONIP 2017 (Oral))   [PDF] [Slides] [bib]

    Supervised Deep Canonical Correlation Analysis for Multiview Feature Learning
    Yan Liu, Yun Li, Yun-Hao Yuan, Ji-Peng Qiang, Min Ruan, Zhao Zhang
    ICONIP 2017   [PDF] [bib]