Dr. Zhuo SU

 

Associate Professor  

School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, P.R. China  

Email: suzhuo3@mail.sysu.edu.cn  

Research Interests: Image & Vision Computing, Computer Graphics, AI for Digital Life & Health

 

ABOUT ME
  • Zhuo SU is an associate professor of School of Computer Science and Engineering, Sun Yat-sen University. He received the Ph.D degree in computer science from Sun Yat-sen University in 2014. He is a research assistant in The Chinese University of Hong Kong from 2012 to 2013. He is the IEEE/ACM/CCF Member.
  • He received the 2015 ACM Guangzhou Doctoral Dissertation Award, the 2012 Scholarship Award for Excellent Doctoral Student Granted by Ministry of Education. And his research is supported by NSFC (2019-2022), NSF-Guangdong, etc.  
  • Recruit: PhD and master students from computer science, software engineering, computational mathematics, and undergraduates who interests cutting-edge AI/CV/CG technologies.

 

SELECTED PUBLICATIONS

2023
  • Y. Feng, X. Meng, F. Zhou, W. Lin, Z. Su*, Real-world non-homogeneous haze removal by sliding self-attention wavelet network, IEEE Transactions on Circuits and Systems for Video Technology, 33(10), 5460-5485, 2023 (JCR Q1, CCF-B Journal) PDF
  • Y. Tan, B. Guan, F. Zhou, Z. Su*, OaIF: Occlusion-aware implicit function for clothed human re-construction, Computer Graphics Forum, 42(6), e14798, 2023 (CCF-B Journal) PDF
  • Z. Su, H. Guan, Y. Lai, F. Zhou, Y. Liang, Boundary-guided part reasoning network for human parsing, Neurocomputing, 561, 126876, 2023 (CCF-C Journal) PDF
  • J. Pu, L. Liu, X. Fu, Z. Su, L. Liu, W. Peng, Feature representation for high-resolution clothed human reconstruction, Computer Graphics Forum, 42(6), e14792, 2023 (CCF-B Journal ) PDF
  • Z. Su, R. Liu, Y. Feng, F. Zhou, Attention-adaptive multi-scale feature aggregation dehazing network, Journal of Visual Communication and Image Representation, 90, 103706, 2023 (CCF-C Journal ) PDF
  • X. Meng, R. Liu, Z. Su*, F. Zhou, Transfer learning dehazing network by Gaussian process mapping, Signal Processing: Image Communication, 119, 117033, 2023 (CCF-C Journal ) PDF
  • X. Meng, Y. Feng, F. Zhou, Y. Liang, Z. Su*, Towards real-world haze removal with uncorrelated graph model, Journal of Visual Communication and Image Representation, 96, 103927, 2023 (CCF-C Journal ) PDF
2022
  • Y. Liang, E. Huang, Z. Zhang, Z. Su*, D. Wang, Feature dense relevance network for single image dehazing, Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI), 1144-1150, 2022 (CCF-A Conference) PDF
  • X. Meng, Y. Feng, Z. Su*, F. Zhou, Unsupervised domain adaptation image dehazing with contrastive nearest-farthest subspace distance, IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2022 (CCF-B Conference) PDF
  • C. Liu, R. Liu, Z. Su*, F. Zhou, Multi-target domain transfer detector on bad weather conditions, IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2022 (CCF-B Conference) PDF
  • Z. Zhou, Z. Su*, R. Wang, Attribute-aware heterogeneous graph network for fashion compatibility prediction, Neurocomputing, 495, 62-74, 2022 (CCF-C Journal) PDF
  • S. Liang, X. Meng, Z. Su*, F. Zhou, Multi-receptive field aggregation network for single image deraining, Journal of Visual Communication and Image Representation, 84 , 103469, 2022 (CCF-C Journal ) PDF
2021 & Before
  • Z. Su*, M. Chen, E. Huang, G. Lin, F. Zhou, MVSN: A multi-view stack network for human parsing, Neurocomputing, 465, 437-450, 2021 (CCF-C Journal) PDF
  • E. Huang, Z. Su*, F. Zhou, R. Wang, Learning rebalanced human parsing model from imbalanced datasets, Image and Vision Computing, 99, 103928, 2020 (CCF-C Journal) PDF
  • E. Huang , Z. Su, F. Zhou, Tao: A trilateral awareness operation for human parsing, IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020 (CCF-B Conference) PDF
  • X. Liang, B. Qiu, Z. Su*, C. Gao, X. Shi, R. Wang, Rain wiper: An incremental randomly wired network for single image deraining, Computer Graphics Forum, 38(7), 2019 (CCF-B Journal) PDF
  • X. Luo, Z. Su*, J. Guo, G. Zhang, X. He, Trusted guidance pyramid network for human parsing, ACM Multimedia, 654-662, 2018 (CCF-A Conference) PDF
  • Y. Cai, Q. Liu, C. Gao, Z. Su, FashionGAN: Display your fashion design using conditional generative adversarial nets, Computer Graphics Forum, 37(7), 2018 (CCF-B Journal) PDF
  • Z. Su*, X. Liang, J. Guo, C. Gao, X. Luo, An edge-refined vectorized deep colorization model for grayscale-to-color images, Neurocomputing, 311, 305-315, 2018 (CCF-C Journal) PDF
  • Y. Guo, Z. Su, S. Lin, J. Lu, X. Luo, 3D medical model low-pass filtering based on non uniform spectral synthesis, Computer-Aided Design, 104, 327-335, 2018 (CCF-B Journal) PDF
  • C. Gao, M. Tang, X. Liang, Z. Su*, C. Zou, PencilArt: A chromatic penciling style generation framework, Computer Graphics Forum, 37(6), 2018 (CCF-B Journal) PDF
  • B. Li, F. Zhao, Z. Su, X. Liang, Y. Lai, P. Rosin, Example-based image colorization using locality consistent sparse representation, IEEE Transactions on Image Processing, 26(11), 5188-5202, 2017 (JCR Q1, CCF-A Journal) PDF
  • Z. Su, D. Li, H. Li, X. Luo, Boosting attribute recognition with latent topics by matrix factorization, Journal of the Association for Information Science and Technology, 68(7), 1737-1750, 2017 (CCF-B Journal) PDF
  • Z. Su, K. Zeng, H. Li, X. Luo, A dual-domain perceptual framework for generating the visual inconspicuous counterparts, ACM Transactions on Multimedia Computing, Communications, and Applications, 13(2), 22:1-21, 2017 (CCF-B Journal) PDF
  • Z. Su, K. Zeng, L. Liu, B. Li, X. Luo, Corruptive artifacts suppression for example-based color transfer, IEEE Transactions on Multimedia, 16(4), 535-548, 2014 (JCR Q1, CCF-B Journal) PDF
  • Z. Su, X. Luo, Z. Deng, Y. Liang, Z. Ji, Edge-preserving texture suppression filter based on joint filtering schemes, IEEE Transactions on Multimedia, 15(3), 535-548, 2013 (JCR Q1, CCF-B Journal) PDF
 
ACADEMIC SERVICES
  • Reviewers for IEEE TPAMI/TIP/TMM/TVCG/TCSVT/TSMC, ACM TOG/TOMM, Elsevier PR/NEUCOM/SPIC/JVCI...
  • PC Members for CVPR/ICCV/ECCV/AAAI/IJCAI/MM/PG...

   

FUNDINGS
  • National Natural Science Foundation of China (2019-2022, 2018-2021, 2016-2018)
  • National Key R&D Program of China (2021-2023)
  • Key-Area Research and Development Program of Guangdong Province (2021-2023)
  • Guangdong Basic and Applied Basic Research Foundation (2021-2023, 2017-2019)
  • Science and Technology Program of Guangzhou (2019-2021)
  • Shenzhen Science and Technology Program (2020-2023)