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Professor Hui Yu

Professor of Visual Computing

  1. 2021
  2. Published

    Tumor detection in MRI brain images based on saliency computational modeling

    Muwei Jian, Xianxin Zhang, Lifu Ma & Professor Hui Yu, 26 May 2021, In: IFAC-PapersOnLine. 53, 5, p. 43-46 4 p.

    Research output: Contribution to journalArticlepeer-review

  3. Early online

    Real-time performance-focused on localisation techniques for autonomous vehicle: a review

    Yongqiang Lu, Dr Hongjie Ma, Dr Edward Smart & Professor Hui Yu, 18 May 2021, (Early online) In: IEEE Transactions on Intelligent Transportation Systems.

    Research output: Contribution to journalArticlepeer-review

  4. Early online

    Local and global perception Generative Adversarial Network for facial expression synthesis

    Yifan Xia, Wenbo Zheng, Yiming Wang, Professor Hui Yu, Junyu Dong & Fei-Yue Wang, 19 Apr 2021, (Early online) In: IEEE Transactions on Circuits and Systems for Video Technology .

    Research output: Contribution to journalArticlepeer-review

  5. Published

    A simulation study of simple local path planning and control for unmanned surface vehicles

    Dimitrios Stergianelis, Mr Matthew Richard McConnell, Ze Ji, Dr Ya Huang & Professor Hui Yu, 9 Apr 2021, Global Oceans 2020: Singapore – U.S. Gulf Coast. IEEE, p. 1-10 10 p. (IEEE Global Oceans Proceedings Series).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  6. Accepted for publication

    Cosine metric supervised deep hashing with balanced similarity

    Wenjin Hu, Lifang Wu, Meng Jian, Yukun Chen & Professor Hui Yu, 25 Mar 2021, (Accepted for publication) In: Neurocomputing.

    Research output: Contribution to journalArticlepeer-review

  7. Published

    Various generative adversarial networks model for synthetic prohibitory sign image generation

    Christine Dewi, Rung-Ching Chen, Yan-Ting Liu & Professor Hui Yu, 24 Mar 2021, In: Applied Sciences. 11, 7, p. 1-15 15 p., 2913.

    Research output: Contribution to journalArticlepeer-review

  8. Accepted for publication

    Deep multi-view learning methods: a review

    Xiaoqiang Yan, Shizhe Hu, Yiqiao Miao, Yangdong Ye & Professor Hui Yu, 23 Mar 2021, (Accepted for publication) In: Neurocomputing.

    Research output: Contribution to journalArticlepeer-review

  9. Accepted for publication

    Binary thresholding defense against adversarial attacks

    Yutong Wang, Wenwen Zhang, Tianyu Shen, Professor Hui Yu & Fei-Yue Wang, 11 Mar 2021, (Accepted for publication) In: Neurocomputing.

    Research output: Contribution to journalArticlepeer-review

  10. Accepted for publication

    Real-time 3D facial tracking via cascaded compositional learning

    Jianwen Lou, Xiaoxu Cai, Junyu Dong & Professor Hui Yu, 8 Mar 2021, (Accepted for publication) In: IEEE Transactions on Image Processing.

    Research output: Contribution to journalArticlepeer-review

  11. Published

    Deep learning in sheet metal bending with a novel theory-guided deep neural network

    Shiming Liu, Yifan Xia, Zhusheng Shi, Professor Hui Yu, Zhiqiang Li & Jianguo Lin, 1 Mar 2021, In: IEEE/CAA Journal of Automatica Sinica. 8, 3, p. 565-581 17 p.

    Research output: Contribution to journalArticlepeer-review

  12. Accepted for publication

    Crowd emotion evaluation based on fuzzy inference of arousal and valence

    Xuguang Zhang, Xiuxin Yang, Weiguang Zhang, Gongfa Li & Professor Hui Yu, 15 Feb 2021, (Accepted for publication) In: Neurocomputing.

    Research output: Contribution to journalArticlepeer-review

  13. Early online

    Cascade regression-based face frontalization for dynamic facial expression analysis

    Yiming Wang, Xinghui Dong, Gongfa Li, Junyu Dong & Professor Hui Yu, 10 Feb 2021, (Early online) In: Cognitive Computation. 14 p.

    Research output: Contribution to journalArticlepeer-review

  14. Published

    Underwater image processing and analysis: a review

    Muwei Jian, Xiangyu Liu, Hanjiang Luo, Xiangwei Lu, Professor Hui Yu & Junyu Dong, 1 Feb 2021, In: Signal Processing: Image Communication. 91, 8 p., 116088.

    Research output: Contribution to journalArticlepeer-review

  15. Published

    Crowd counting by feature-level fusion of appearance and fluid force

    Dingxin Ma, Xuguang Zhang & Professor Hui Yu, 20 Jan 2021, 2020 11th International Conference on Awareness Science and Technology (iCAST). IEEE, 6 p. (IEEE iCAST Proceedings Series).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  16. Early online

    Deep learning for monocular depth estimation: a review

    Yue Ming, Xuyang Meng, Chunxiao Fan & Professor Hui Yu, 5 Jan 2021, (Early online) In: Neurocomputing.

    Research output: Contribution to journalArticlepeer-review

  17. 2020
  18. Published

    Scene perception guided crowd anomaly detection

    Xuguang Zhang, Dingxin Ma, Professor Hui Yu, Dr Ya Huang, Dr Peter Howell & Dr Brett Stevens, 13 Nov 2020, In: Neurocomputing. 414, p. 291-302 12 p., 0.

    Research output: Contribution to journalArticlepeer-review

  19. Early online

    MARS: parallelism based metrically accurate 3D reconstruction system in real-time

    Shu Zhang, Ting Wang, Gongfa Li, Junyu Dong & Professor Hui Yu, 11 Nov 2020, (Early online) In: Journal of Real-Time Image Processing.

    Research output: Contribution to journalArticlepeer-review

  20. Accepted for publication

    Visual saliency detection by integrating spatial position prior of object with background cues

    Muwei Jian, Jing Wang, Professor Hui Yu, Guodong Wang, Xiangjing Meng, Lu Yang, Junyu Dong & Yilong Yin, 1 Nov 2020, (Accepted for publication) In: Expert Systems with Applications.

    Research output: Contribution to journalArticlepeer-review

  21. Early online

    Two-stage deep regression enhanced depth estimation from a single RGB image

    Jianyuan Sun, Zidong Wang, Professor Hui Yu, Shu Zhang, Junyu Dong & Pengxiang Gao, 28 Oct 2020, (Early online) In: IEEE Transactions on Emerging Topics in Computing. 9 p.

    Research output: Contribution to journalArticlepeer-review

  22. Early online

    DSFMA: Deeply supervised fully convolutional neural networks based on multi-level aggregation for saliency detection

    Inam Ullah, Muwei Jian, Sumaira Hussain, Jie Guo, Li Lian, Professor Hui Yu, Kashif Shaheed & Yilong Yin, 26 Oct 2020, (Early online) In: Multimedia Tools and Applications. 21 p.

    Research output: Contribution to journalArticlepeer-review

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