教育经历
  • 2012-9 — 2016-6
    山东大学
    博士生
  • 2009-9 — 2012-6
    山东大学
    控制科学与工程
    工学硕士学位
  • 2005-9 — 2009-6
    山东大学
    自动化
    工学学士学位
工作经历
  • 2019-09 — 至今
     山东大学 
    副教授
  • 2018-09 — 2019-10
     University of Washington 
    博士后
  • 2016-08 — 2019-09
     山东大学 
    助理研究员
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

1.无人驾驶感知和驾驶员状态感知的综合理解

2.人机互助和机械手抓取研究

3.无人驾驶和高级辅助驾驶系统相关算法研究（详情请点击）

4.智能机器人视觉算法研究（详情请点击）

5.人工智能与模式识别算法模型研究（详情请点击）

6.无人机视觉算法研究（详情请点击）

论文成果

(1) 王德鑫.On-Policy and Pixel-Level Grasping Across the Gap Between Simulation and Reality.IEEE Transactions on Industrial Electronics.2023 (Early Access)

(2) JHPFA-Net: Joint Head Pose and Facial Action Network for Driver Yawning Detection Across Arbitrary Poses in Videos.IEEE Transactions on Intelligent Transportation Systems.2023 (Early Access)

(3) 李南君.Human-related anomalous event detection via memory-augmented Wasserstein generative adversarial network with gradient penalty. Pattern Recognition.2023 (138)

(4) 刘春生.Rapid Multiclass Traffic Sign Detection in High-Resolution Images.IEEE Transactions on Intelligent Transportation Systems.2014 (15)

(5) 刘春生.Fast Traffic Sign Recognition via High-Contrast Region Extraction and Extended Sparse Representation.IEEE Transactions on Intelligent Transportation Systems.2016 (17)

(6) 王文倩.Magi-Net: Meta Negative Network for Early Activity Prediction.IEEE TRANSACTIONS ON IMAGE PROCESSING.2023 (32)

(7) 王文倩.GA-Net: A Guidance Aware Network for Skeleton-Based Early Activity Recognition.IEEE Transactions on Multimedia.2023 (25)

(8) DSS-Net: Dynamic Self-Supervised Network for Video Anomaly Detection.IEEE Transactions on Multimedia.2023 (Early Access)

(9) AE-Net:Adjoint Enhancement Network for Efficient Action Recognition in Video Understanding.IEEE transactions on multimedia.2022

(10) 李南君.A Self-trained Spatial Graph Convolutional Network for Unsupervised Human-related Anomalous Event Detection in Complex Scenes.IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS.2022

(11) 刘洪彬.Anti-occlusion multi-target tracking with progressive spatio-temporal feature model.Kongzhi yu Juece/Control and Decision.2019,34 (10):2171-2177

(12) 刘冬梅.Salient object detection fusing global and local information based on nonsubsampled contourlet transform.Journal of the Optical Society of America A: Optics and Image Science, and Vision.2016,33 (8):1430-1441

(13) 刘洪彬.Multitarget tracking using multifeature model with acceleration feature.Optical Engineering.2018,57 (7)

(14) 王文倩.Mutuality-oriented reconstruction and prediction hybrid network for video anomaly detection.Signal Image and Video Processing.2022

(15) 李爽.Time-Spatial Multiscale Net for Vehicle Counting and Traffic Volume Estimation.IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS.2022,14 (2):740-751

(16) 王德鑫.High-performance Pixel-level Grasp Detection based on Adaptive Grasping and Grasp-aware Network.IEEE Transactions on Industrial Electronics.2021,69 (11):11611-11621

(17) Adaptive Short-Temporal Induced Aware Fusion Network for Predicting Attention Regions Like a Driver.IEEE Transactions on Intelligent Transportation Systems.2022

(18) Li, Nanjun.Human-related anomalous event detection via spatial-temporal graph convolutional autoencoder with embedded long short-term memory network.Neurocomputing.2022,490 :482-494

(19) 刘春生.Occlusion-robust traffic sign detection via cascaded colour cubic feature.IET Intelligent Transport Systems.2016,10 (5):354-360

(20) 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

(21) 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

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

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

(24) 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

(25) 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

(26) 刘春生.Temporal Shift and Spatial Attention-Based Two-Stream Network for Traffic Risk Assessment.IEEE Transactions on Intelligent Transportation Systems.2021

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

(28) 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

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

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

(31) 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

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

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

(36) 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

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

(38) 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

(39) 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

(40) 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)

(41) 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

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

(43) 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

(44) 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)

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

(46) 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

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

(48) 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

(49) 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

(50) 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)

(51) 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)

(52) 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

(53) 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)

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

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

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

(57) 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

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

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

专利

1. 一种自动驾驶策略生成方法及系统

2. 基于指导信息的人体骨架动作早期识别方法及系统

3. 一种航拍图像中车辆检测和分割的方法及系统

4. 一种基于有向箭头模型的目标抓取检测方法及系统

5. 基于多尺度时间信息融合的群体异常行为识别方法及系统

6. 基于目标动态信息的驾驶员注意力区域预测方法及系统

7. 由目标检测引导的复杂交通视觉显著性预测方法及系统

8. 基于时空计数特征的密度交通流计数方法及系统

9. 基于自适应图卷积对抗网络的人体行为预测方法及系统

10. 基于生成对抗网络的铁路道口异常事件检测方法及系统

11. 一种基于编码解码网络的交通场景描述方法及系统

12. 一种基于姿态校正和困难样本感知的航拍车辆重识别方法

13. 一种设备故障声源定位方法及系统

14. 群体异常行为识别方法、系统、存储介质及设备

15. 发动机故障检测方法、系统、存储介质及设备

16. 基于空间图卷积网络的异常行为检测方法、系统、存储介质和设备

17. 一种骑车人检测方法及系统

18. 基于视觉的密度交通车辆计数和交通流量计算方法及系统

19. 一种基于分流级联的多类别交通标示牌的检测方法

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