钟小品      副教授 副院长

性别:

邮箱: xzhong@szu.edu.cn

办公室: 致信楼S613

人才称号: 深圳市高层人才后备级

最终学位: 博士

办公电话:

导师资格: 硕导

研究领域:

机器视觉、深度神经网络、三维成像

主讲本科课程:

《线性代数与概率论》
《图像处理与机器视觉》

教育背景:

2002.07 西安交通大学 信息工程 学士
2007.07 西安交通大学 模式识别与智能系统 硕士
2010.10 法国里昂中央理工 机电工程 博士

工作履历:

2010.12-至今  深圳大学机电与控制工程学院

代表期刊论文 :

Zhong, X.; Zhu, J.; Liu, W.; Hu, C.; Deng, Y.; Wu, Z. An Overview of Image Generation of Industrial Surface Defects. Sensors 2023, 23, 8160. https://doi.org/10.3390/s23198160
Chengxiang Liu, Qi Zhang, Fulin Liang, Jiyang Huang, Haojia Ye, Zongze Wu, Xiaopin Zhong*. Effective Camera Calibration by Using Phase-Shifting Fringe Patterns. Optics and Laser Technology 2023.
Zhong, X., Zhu, W., Liu, W. et al. G-SAM: A Robust One-Shot Keypoint Detection Framework for PnP Based Robot Pose Estimation. J Intell Robot Syst 109, 28 (2023). https://doi.org/10.1007/s10846-023-01957-5
钟小品,朱俊玮,列智豪,邓元龙.基于合成缺陷的偏光片外观对抗异常检测方法[J/OL].激光与光电子学进展:1-18[2023-06-03].http://kns.cnki.net/kcms/detail/31.1690.TN.20221031.1531.026.html
钟小品,李锋,邓元龙.零件点云法向量估计的多尺度特征融合网络[J].计算机应用研究,2021,38(09):2842-2847.DOI:10.19734/j.issn.1001-3695.2020.10.0426.
Deng, Y., Pan, X., Zhong, X. and Huang, G., 2020. Improved imaging of extremely-slight transparent aesthetic defects using a saturation level-guided method. Optics Express, 28(3), pp.3699-3716.
Deng, Y., Pan, X. and Zhong, X., 2020. Efficient Shape Estimation of Transparent Microdefects with Manifold Learning and Regression on a Set of Saturated Images. Applied Sciences, 10(1), p.385.
Zhong, X., Guo, J. and Deng, Y., 2019. Pixel-Classification-Based Reticulocyte Detection in Blood-Smear Microscopy Images. Journal of Medical Devices, 13(4).
Zhong, X.P., CHEN, H.J., Li, M.Q. and Zeng, W.W., 2021. Understanding Engineering Drawing Images From Mobile Devices. Journal of Information Science & Engineering, 37(1).

代表会议论文:

Yang, Y., Chen, J., Zhong, X. and Deng, Y., 2022, June. Polygon-to-polygon distance loss for rotated object detection. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 36, No. 3, pp. 3072-3080).
Pang, X., Li, F., Ding, N. and Zhong, X., 2022. Upright-net: Learning upright orientation for 3d point cloud. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 14911-14919).

主要学术兼职:

CVPR、AAAI 等CCF A国际会议审稿人
深圳市智能化学会副会长

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