教育经历
  • 2012-9 — 2016-6
    山东大学
  • 2009-9 — 2012-6
    山东大学
    控制科学与工程
  • 2005-9 — 2009-6
    山东大学
    自动化
工作经历
  • 2019-9 — 至今
     山东大学 
  • 2018-9 — 2019-10
     University of Washington 
  • 2016-8 — 2019-9
     山东大学 
研究概况

  主要从事模式识别、人工智能、图像和信号处理等领域的基础算法研究和应用研究,目前主要研究兴趣如下:

(1)无人驾驶和高级辅助驾驶系统相关算法研究

(2)智能机器人视觉算法研究

(3)人工智能与模式识别算法模型研究

(4)无人机视觉算法研究


(详细介绍见“研究方向”)


研究方向
论文

(1) 刘春生.Posture Calibration Based Cross-View & Hard-Sensitive Metric Learning for UAV-Based Vehicle Re-Identification.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS.2022

(2) 张旺.Multi-Scale and Occlusion Aware Network for Vehicle Detection and Segmentation on UAV Aerial Images.REMOTE SENSING.2020,12 (11)

(3) 李爽.Vehicle counting and traffic flow parameter estimation for dense traffic scenes.IET INTELLIGENT TRANSPORT SYSTEMS.2020,14 (12):1517

(4) 杨易蓉.Driver Gaze Zone Estimation via Head Pose Fusion Assisted Supervision and Eye Region Weighted Encoding.IEEE TRANSACTIONS ON CONSUMER ELECTRONICS Journal.2021,67 (4):275

(5) 陈路昌.Adaptive multi-level feature fusion and attention-based network for arbitrary-oriented object detection in remote sensing imagery.Neurocomputing.2021,451 :67

(6) 刘春生.Temporal Shift and Spatial Attention-Based Two-Stream Network for Traffic Risk Assessment.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS.2021

(7) Dong, Wenhui.Unsupervised Horizontal Pyramid Similarity Learning for Cross-Domain Adaptive Person Re-Identification.IEEE Access .2021,9 :92901

(8) 李爽.Bi-Directional Dense Traffic Counting Based on Spatio-Temporal Counting Feature and Counting-LSTM Network.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS.2021,22 (12):7395

(9) 李南君.Spatial-Temporal Cascade Autoencoder for Video Anomaly Detection in Crowded Scenes. IEEE Transactions on Multimedia.2021,23 :203

(10) 蒋沁宇.A Spectrogram Based Local Fluctuation Feature for Fault Diagnosis with Application to Rotating Machines.Journal of Electrical Engineering and Technology.2021

(11) 刘洪彬.Multi-target tracking with hierarchical data association using main-parts and spatial-temporal feature models.Multimedia Tools and Applications.2019,78 (20):29161

(12) 刘洪彬.基于时空渐进特征模型的抗遮挡多目标跟踪.控制与决策.2018

(13) 常发亮.High-performance Chinese multiclass traffic sign detection via coarse-to-fine cascade and parallel support vector machine detectors.Journal of Electronic Imaging.2017, 26 (5)

(14) 刘春生.Supplemental Boosting and Cascaded ConvNet Based Transfer Learning Structure for Fast Traffic Sign Detection in Unknown Application Scenes.Sensors.2018,18 (7)

(15) 刘春生.Fast and Robust Region of Interest Extraction for Chinese Road Signs.2017 Chinese Automation Congress (CAC).2017 :2877

(16) 刘春生.Hybrid Cascade Structure for License Plate Detection in Large Visual Surveillance Scenes.IEEE Transactions on Intelligent Transportation Systems.2019,20 (6):2122

(17) 刘春生.Machine Vision Based Traffic Sign Detection Methods: Review, Analyses and Perspectives.IEEE ACCESS.2019,7 :86578

(18) 刘春生.ACF Based Region Proposal Extraction for YOLOv3 Network Towards High-Performance Cyclist Detection in High Resolution Images.Sensors.2019,19 (2671):1

(19) 刘洪彬.基于时空渐进特征模型的抗遮挡多目标跟踪.控制与决策.2018

(20) 常发亮.High-performance Chinese multiclass traffic sign detection via coarse-to-fine cascade and parallel support vector machine detectors.Journal of Electronic Imaging.2017, 26 (5)

(21) 刘春生.Hybrid Cascade Structure for License Plate Detection in Large Visual Surveillance Scenes.IEEE Transactions on Intelligent Transportation Systems.2019,20 (6):2122

(22) 刘春生.Machine Vision Based Traffic Sign Detection Methods: Review, Analyses and Perspectives.IEEE ACCESS.2019,7 :86578

(23) 刘春生.ACF Based Region Proposal Extraction for YOLOv3 Network Towards High-Performance Cyclist Detection in High Resolution Images.Sensors.2019,19 (2671):1

(24) 刘春生.Supplemental Boosting and Cascaded ConvNet Based Transfer Learning Structure for Fast Traffic Sign Detection in Unknown Application Scenes.Sensors.2018,18 (7)

(25) 刘春生.Fast and Robust Region of Interest Extraction for Chinese Road Signs.2017 Chinese Automation Congress (CAC).2017 :2877

(26) 刘洪彬.Multi-target tracking with hierarchical data association using main-parts and spatial-temporal feature models.Multimedia Tools and Applications.2019,78 (20):29161

(27) 刘春生.Machine Vision Based Traffic Sign Detection Methods: Review, Analyses and Perspectives.IEEE ACCESS.2019,7 :86578

(28) 刘春生.ACF Based Region Proposal Extraction for YOLOv3 Network Towards High-Performance Cyclist Detection in High Resolution Images.Sensors.2019,19 (2671):1

(29) 刘春生.Hybrid Cascade Structure for License Plate Detection in Large Visual Surveillance Scenes.IEEE Transactions on Intelligent Transportation Systems.2019,20 (6):2122

(30) 刘春生.Supplemental Boosting and Cascaded ConvNet Based Transfer Learning Structure for Fast Traffic Sign Detection in Unknown Application Scenes.Sensors.2018,18 (7)

(31) 刘春生.Supplemental Boosting and Cascaded ConvNet Based Transfer Learning Structure for Fast Traffic Sign Detection in Unknown Application Scenes.Sensors.2018,18 (7)

(32) 刘洪彬.基于时空渐进特征模型的抗遮挡多目标跟踪.控制与决策.2018

(33) 常发亮.High-performance Chinese multiclass traffic sign detection via coarse-to-fine cascade and parallel support vector machine detectors.Journal of Electronic Imaging.2017, 26 (5)

(34) 刘春生.Fast and Robust Region of Interest Extraction for Chinese Road Signs.2017 Chinese Automation Congress (CAC).2017 :2877

(35) 刘春生.Multiview road sign detection via self-adaptive color model and shape context matching.Journal of Electronic Imaging.2016,25 (5)

(36) 刘春生.Occlusion-Robust Traffic Sign Detection via Cascaded Color Cubic Feature.IET Intelligent Transport Systems.2016,10 (5):354

(37) 刘春生.Fast Traffic Sign Recognition via High-Contrast Region Extraction and Extended Sparse Representation.IEEE Trans. on Intelligent Transportation Systems.2016,17 (1):79

(38) 刘春生.Cascaded split-level colour Haar-like features for object detection.IET Electronic letters.2015,51 (25):2106

(39) 刘春生.Rapid Multiclass Traffic Sign Detection in High-Resolution Images.IEEE Trans. on Intelligent Transportation Systems.2014,15 (6):2394

专利
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