Zhiming Luo


I am currently a Postdoc Researcher at Xiamen University, Xiamen, China.

I received my Ph.D. degree under the supervision of Prof. Shaozi Li (Xiamen University, Xiamen, China) and Prof. Pierre-Marc Jodoin (Université de Sherbrooke, Québec, Canada) in 2017.

My research interest includes Deep Learning, Machine Learning, Computer Vision and Traffic Video Analytics.


  • Luo Z., B.-Charron F., Lemaire C., Konrad J., Li S., Mishra A., Achkar A., Eichel J., Jodoin P.-M., "MIO-TCD: A new benchmark dataset for vehicle classification and localization", IEEE Transactions on Image Processing, 2018 [pdf]
  • Luo Z., Mishra A., Achkar A., Eichel J., Li S., Jodoin P.-M., “Non-Local Deep Features for Salient Object Detection”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [Project] (Spotlight)
  • Luo Z., Jodoin P.-M., Su S.., Li S., Larochelle H., “Traffic Analytics with Low Frame Rate Videos”, IEEE Transactions on Circuits and Systems for Video Technology, 2016. [pdf]
  • Luo Z., Jodoin P.-M., Li S., Su S., “Traffic Analysis without Motion Features”, IEEE International Conference on Image Processing (ICIP 2015). [pdf] [code]

  • Lian S., Li L., Lian G., Xiao X., Luo Z.*, Li S., "A Global and Local Enhanced Residual U-Net for Accurate Retina Vessel Segmentation", IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2019 [pdf]
  • Zhong Z., Zheng L., Luo Z., Li S., Yang Y., “Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
  • Li J., Peng H., Hu H., Luo Z., Tang C., "Multimodal Information Fusion for Automatic Aesthetics Evaluation of Robotic Dance Poses", International Journal of Social Robotics, 2019.
  • Zhang J., Li C., Sun Z., Luo Z., Zhou C., Li S., "Towards a unified multi-source-based optimization framework for multi-label learning", Applied Soft Computing, 2018.
  • Lian S., Luo Z., Zhong Z., Lin X., Su S., Li S., "Attention Guided U-Net for Accurate Iris Segmentation", Journal of Visual Communication and Image Representation, 2018 . [pdf]
  • Zotti C., Luo Z., Lalande A., Jodoin P.-M., "Convolutional Neural Network with Shape Prior Applied to Cardiac MRI Segmentation", IEEE Journal of Biomedical and Health Informatics, 2018. [pdf]
  • Liu W., Luo Z.*, Li S., "Improving Deep Ensemble Vehicle Classification by Using Selected Adversarial Sample", Knowledge-Based Systems, 2018. [pdf]
  • Wang C., Luo Z., Lian S., Li S., "Anchor Free Network for Multi-Scale Face Detection", International Conference on Pattern Recognition (ICPR 2018).
  • Yu S., Cheng Y., Xie L., Luo Z., Huang M., Li S., "A novel recurrent hybrid network for feature fusion in action recognition", Journal of Visual Communication and Image Representation, 2017. [pdf]
  • Zhong Z., Li J., Luo Z., Chapman M., "Spectral-Spatial Residual Networks for Hyperspectral Image Classification: A 3D Deep Learning Framework", IEEE Transactions on Geoscience and Remote Sensing, 2017. [pdf]
  • Zotti C., Luo Z., Lalande A., Humbert O., Jodoin P.-M., "GridNet with automatic shape prior registration for automatic MRI cardiac segmentation", MICCAI - ACDC Challenge, 2017 [pdf]
  • Wang Y., Luo Z., Jodoin P.-M., “Interactive Deep Learning Method for Segmenting Moving Objects”, Pattern Recognition Letter, 2016. [pdf] [code]

Submitted Papers:

  • Yang F., Zhong Z., Luo Z.*, Lian S. Li S., "Leveraging Virtual and Real Person for Unsupervised Person Re-identification", IEEE Transactions on Multimedia, 2018.
  • Liu W., Luo Z.*, Cai Y., Li S., "Fine-Grained Vehicle Recognition Using Deep Learning and Geometry from a Single Image", IEEE Transactions on Intelligent Transportation Systems, 2018
  • Wang C., Luo Z.*, Zhong Z., Cao D., Su S., Li S., "SAFD: Single Shot Anchor Free Face Detector ", Neurocomputing, 2019


Reading Group at VITAL Lab: