Profile of Luo Dapeng
Luo Dapeng, born in Apr. 1978, PhD, associate professor, master supervisor, selected for the fourth batch of "Yellow Crane Talent Program" of Wuhan City, Hubei Province, received his doctoral degree in Control Science and Engineering from Huazhong University of Science and Technology, and visited the Department of Computer Science and Engineering at Michigan State University as a visiting scholar from 2016 to 2017. He has published more than 40 papers in authoritative journals at home and abroad, including IEEE Transactions on Circuits and Systems for Video Technology, Pattern Recognition, Neurocomputing, Pattern Recognition Letters, and more than ten papers are in JCR Q2 or above. He has presided over and participated in the programs supported by the National Natural Science Foundation of China, key program of the National Natural Science Foundation of China, key program of the National Natural Science Foundation of Hubei Province, and the industry-university-research integration funding program of the Ministry of Education, Guangdong Province. He has achieved a series of results in the areas of autonomously learnable target detection, tracking algorithms, unsupervised domain adaptive learning, biological visual attention modeling, image classification and target recognition. He serves as the reviewer of many authoritative journals in the field of electronics and information both at home and abroad, the member of Chinese Association of Automation, and communication review expert of NSFC.
Contact information:
Email: luodapeng@cug.edu.cn
Office: Room 209, No. 2 Teaching Building
Lab: Room 211, No. 2 Teaching Building
Lab environment:
Specialized equipment: image processing workstation, image/video development hardware platform, Jetson TX2 evaluation board.
Main experiences:
Education background:
2016-2017: Visiting scholar in the Department of Computer Science and Engineering, Michigan State University
2006/09-2010/06: PhD in Control Science and Engineering of Image Institute, Huazhong University of Science and Technology
2002/09-2005/06: Master in Information and Communication Engineering of School of Geography and Information Engineering, China University of Geosciences (Wuhan)
1995/09-1999/06: Bachelor in Communication Engineering of School of Geography and Information Engineering, China University of Geosciences (Wuhan)
Work experience:
2012-present: associate professor at the Department of Electronic Information Engineering of School of Mechanical Engineering and Electronic Information, China University of Geosciences (Wuhan)
Admission information:
2-3 master degree candidates are enrolled every year. Welcome hardworking and practical undergraduate and graduate students who are interested in image/video processing and machine learning. You can contact my graduate students (QQ: 755476579, 1025460877) for details of the research group.
Postgraduate students:
Grade 2015: Jiabao Han, Video target detection based on online random ferns classifier, one T4 paper, 2 invention patents, employed by AWcloud
Grade 2016: Zhipeng Zeng, An autonomous learning video target detection system based on generative and discriminative models, one T4 SCI paper and one T3 SCI paper, one invention patent, employed by ThoughtWorks
Grade 2017: Guoqing Du, Event identification based on developmental neural network, one T2 SCI paper and one T4 SCI paper, one invention patent, employed by ZTE
Grade 2017: Quanzheng Mu, Research on full-autonomous video target detection system, one T2 SCI paper and one T3 SCI paper, two invention patents, employed by vivo
Grade 2018: Songze He, Pedestrian detection and abnormal behavior recognition in specific scene based on unsupervised domain adaptive learning, one T2 SCI paper, two invention patents, employed by Shenzhen Mindray
Grade 2019: Peng Guo, Research on image classification recognition method based on developmental neural network, one T2 SCI paper and one T3 SCI paper, one invention patent, employed by Xiaomi Corporation
Grade 2019: Jing Zhang, Unsupervised domain-based adaptive self-learning video target detection, one T2 SCI paper and 2 invention patents, employed by Baidu
Undergraduates:
Qian Li, Vehicle target detection and tracking system in video image, 2014, excellent thesis for bachelor’s degree of Hubei province
Ya’nan Feng, target tracking based on feature point, 2015, excellent thesis for bachelor’s degree of Hubei province, employed by HUAWEI
Ru Wang, Multi-target tracking system design, 2016, excellent thesis for bachelor’s degree of Hubei province, employed by Wuhan Research Institute of Posts and Telecommunications
Xiangli Tan, OpenCV transplantation based on Jetson TK1 and the implementation of ACF pedestrian detection algorithm, admitted to National University of Defense Technology on recommendation
Dongzeng Tan, Design of behavior recognition system based on Jetson TK1, chairman of electronic information R&D association of China University of Geosciences, admitted to Southeast University as a postgraduate student
Conghao Wang, Video target detection based on domain adaptive transfer learning, admitted to Huazhong University of Science and Technology on recommendation
Yunkai Lin, Abnormal event detection in video based on recurrent neural network, employed by GREE Electric Appliances
Yuan Lin, Multi target detection and tracking based on deep neural network, employed by Xiaomi
Qinxuan Wang, Brain wave signal recognition based on full convolution residual network, 2020, university-level excellent thesis for bachelor’s degree, admitted to Beijing Institute of Technology on recommendation
Huimin Xu, Deep neural network-based blood vessel extraction algorithm, 2021, university-level excellent thesis for bachelor’s degree, admitted to Huazhong University of Science and Technology on recommendation
Major academic research fields:
He is engaged in image/video processing, computer vision and machine learning. Research interests cover biological visual perception model (target recognition, motion perception, attention, etc.) and its application in computer vision, visual cognition, image analysis and target recognition based on statistical learning, intelligent video monitoring, etc.
Theoretical research
(1) Unsupervised domain adaptive learning and its application in video target detection
(2) Research on the theory of autonomous learning based on developmental neural network
(3) Research on online learning theory
Application research
(1) Statistics of people flow and traffic flow and the detection of various traffic violations based on video image
(2) Cross-scene multi-target tracking and event detection
(3) Construction of multi-target detection and tracking system based on computer vision
Selected papers (* as corresponding author):
[1] Yinyuan Wang, Haowen Du, Zhuo Cheng, Changxin Gao, Longsheng Wei, Bin Fang, Fei Xiao, Dapeng Luo*. KRRNet: Keypoint Relational Regression Network for Bottom-up Anchor-free Object Detection [J]. IEEE Transactions on Circuits and Systems for Video Technology, 2023, doi: 10.1109/TCSVT.2023.3305289. (CCF-B, Chinese Academy of Sciences Q1) IF=8.4
[2] Quanzheng Mou, Longsheng Wei, Conghao Wang, Dapeng Luo*, Songze He, Jing Zhang, Huiming Xu, Chen Luo, Changxin Gao. Unsupervised Domain-adaptive Scene-specific Pedestrian Detection for Static Video Surveillance[J]. Pattern Recognition, 2021, 118:108038 (CCF-B, Chinese Academy of Sciences Q2) IF=7.74
[3] Dapeng Luo, Siyuan Lei, Peng Guo, Changxin Gao, Ying Chen, Jinsheng Li, Longsheng Wei. Learning Scene-specific Object Detectors Based on a Generative-Discriminative Model with Minimal Supervision [J]. Pattern Recognition Letters, 2022, 159(2022):108-115 (CCF-C, Chinese Academy of Sciences Q3) IF=3.756
[4] Guo Peng, Du Guoqing, Longsheng Wei, Huaiying Lu, Siwei Chen, Changxin Gao, Ying Chen, Jinsheng Li, Dapeng Luo*. Multiscale Face Recognition in Cluttered Backgrounds Based on Visual Attention [J]. Neurocomputing, 2022, 469:65-80. (CCF-C, Chinese Academy of Sciences Q2) IF=5.719
[5] Dapeng Luo, Quanzheng Mou, Zhipeng Zeng, Chen Luo, Longsheng Wei, Xiangli Zhang. Biologically inspired head detection framework based on online Learning algorithm[J]. Multimedia Tools and Applications, 2020, 79(27): 19509-19536. (CCF-C, Chinese Academy of Sciences Q3) IF= 2.757
[6] Xiangli Zhang, Jiazhen Zhang, Tianze Luo, Tianye Huang, Zuping Tang, Ying Chen, Jinsheng Li and Dapeng Luo*. Radar Signal Intrapulse Modulation Recognition Based on A Denoising-Guided Disentangled Network [J]. Remote Sensing, 2022, 14(5):1252. (Chinese Academy of Sciences Q2) IF=4.848
[7] Lei Han, Zhimin Hu, Jianxing Pan, Tianye Huang, Dapeng Luo*. High-Sensitivity Goos-Hnchen Shifts Sensor Based on BlueP-TMDCs-Graphene Heterostructure [J]. Sensors, 2020, 20(12):3605. (Chinese Academy of Sciences Q3) IF=3.576
[8] LUO Da-peng, DU Guo-qing, ZENG Zhi-peng, WEI Long-sheng, GAO Chang-xin, CHENG Ying, XIAO Fei, LUO Chen. Multi-Object Detection and Tracking Based on Few-Shot Learning. Acta Electronica Sinica. 2021, 49(1): 183-191 (CCF-A Chinese Journal)
[9] Dapeng Luo, Chen Luo, Longsheng Wei, Jiabao Han, Yong Wang, Li Ma. Real Time Visual Perception System Based on Online Fern Classifier. Acta Electronica Sinica, 2016.44 (5):1139-1148 (CCF-A Chinese Journal)
[10] Jun Chen, Qi Wan, Linbo Luo, Yong Wang, Dapeng Luo. Drone Image Stitching Based on Compactly Supported Radial Basis Function. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens, 2019, 12(11): 4634-4643. (Chinese Academy of Sciences Q2) IF= 3.784
[11] Li Ma, Xiaofeng Zhang, Xin Yu, Dapeng Luo. Spatial Regularized Local Manifold Learning for Classification of Hyperspectral Images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v9, 609-624, 2016. (Chinese Academy of Sciences Q2) IF= 3.784
[12] Yong Wang, Dianhong Wang, Qian Lu, Dapeng Luo, Wu Fang. Aquatic debris detection using embedded camera sensors [J]. Sensors, 2015, 15(2): 3116-3137. (Chinese Academy of Sciences Q3) IF=3.576
[13] Huang Rui, Sang Nong, Dapeng Luo, Tang Qiling, Image segmentation via coherent clustering in L*a*b* color space, Pattern Recognition Letters,2011, 32(7) pp: 891-902 (CCF-C, Chinese Academy of Sciences Q3) IF=3.756
Selected scientific research programs as the PI and participant:
[1] AI Intelligent Monitoring System for Personnel and Vehicles Based on Zhiling Smart Park (Phase I), enterprise-funded program supported by China Construction Third Engineering Bureau Group Intelligent Technology Co., Ltd, 2023056259, 20230620-20240131, RMB 400,000Yuan, PI, under study
[2] Smart Site Project Phase I: Smart Site Safety Management Cloud Platform, enterprise-funded program supported by China Construction Third Engineering Bureau Group Intelligent Technology Co., Ltd, 2020076349, 20200701-20250701, RMB 650,000 Yuan, PI, under study
[3] Smart campus application system based on environmental perception, “Yellow Crane Excellent Talent Program” of Wuhan City, 2018075041, 2016/01-2019/12, RMB 1 million Yuan, PI, concluded
[4] Research on the adaptive video target detection algorithm based on weak linear regression tree online learning, Youth Program of National Natural Science Foundation of China, 61302137, 2014/01-2016/12, RMB 250,000 Yuan, PI, concluded
[5] Research on the detection of abnormal events in intelligent driving scene based on biological incentive characteristics and surprise computing model, Youth Program of National Natural Science Foundation of China, 61603357, 2017/01-2018/12, RMB 180,000 Yuan, ranked second, concluded
[6] Research on the intelligentvideo perception system based on online learning, “Excellent young teachers foundation” of young teachers promotion plan, the fundamental research funds for central universities, CUGL170210, 2017/01-2019/12, RMB 100,000Yuan, concluded
[7] Research on the video target detection of Internet of things based on online learning, General program of the Foundation of Hubei Province, 2013CFB403, 2013/01-2015/12, RMB 30,000Yuan, PI, concluded
[8] Research on the intelligent target detection technology for sustainable learning, Scientific research program funded bythe fundamental research funds for central universities, CUGL110225, 2011/01-2013/12, RMB 60,000Yuan, PI, concluded.
Awards:
[1] Yong Wang; Aibo Xu; Tianye Huang; Jiayong Tu; Dapeng Luo; Xiangli Zhang; Jin Song; Fei Huang; Wufeng Sun; Ying Liang.Research and development of key technologies for IoT video sensing and its application in safe cities,Department of Science and Technology of Hubei Province, scientific and technological progress,Provincial Second Prize, 2020
[2] Longsheng Wei; Wei Liu; Xinmei Wang; Dapeng Luo. Perceptual Image Quality Assessment Based on Visual Attention, IWACIII 2015 Part 2, Best Paper Award, International Academic Award,2015
[3] Longsheng Wei; Xuefu Yu; Yuyang Ye; Dapeng Luo. Cycle Skeleton Structure for occluded multi-person 2D Pose Estimation, The 9th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA2020 Session, Best Presentation Award, International Academic Award,2020
[4] Tianye Huang; Dapeng Luo; Zhuo Cheng; Xiangli Zhang; Beibei Yu; Yong Wang; Quan Yuan. Exploration and practice of new engineering education model with double-loop whole chain coupling, China University of Geosciences (Wuhan),Teaching Achievement Award, university-level third prize, 2021
Selected invention patents:
[1] Dapeng Luo, Zhipeng Zeng, Linbo Luo, Mingdong Zhang, Longsheng Wei, Li Ma, Yong Wang. A pedestrian detection method based on random fern classifier of online learning. Patent No.: ZL 201610148420.3. Granted on Mar. 1, 2019
[2] Dapeng Luo, Mingdong Zhang, Linbo Luo, Yongwen Liu, Zhipeng Zeng, Longsheng Wei, Li Ma, Yong Wang. An adaptive ORB target tracking method. Patent No.: ZL201610156876.4. Granted on Nov. 27, 2018
[3] Dapeng Luo, Longsheng Wei, Jiabao Han, Yong Wang et al. A semi-autonomous online learning method based on random fern classifier. Patent No.: ZL 201410317479.1. Granted on Nov. 17, 2017
[4] Dapeng Luo, Longsheng Wei, Jiabao Han, Yong Wang et al. An autonomous online learning method based on random fern classifier. Patent No.: ZL 201410407669.2. Granted on June 13, 2017
[5] Jun Chen, Linbo Luo, Chao Liu, Yongwang, Dapeng Luo et al. An image registration method combining sparse and dense features. Patent No.: ZL201510808122.8
[6] Jun Chen, Linbo Luo, Chao Liu, Yongwang, Dapeng Luo et al. An image alignment method for sparse feature matching based on local linear constraints. Patent No.: ZL201510813103.4
[7] Longsheng Wei, Dapeng Luo, Xinmei Wang, Wei Liu, Feng Liu, et al. A vehicle logo recognition method and vehicle logo recognition system. Patent No.: ZL201510599186.1
[8] Yongwang, Dianhong Wang, Qian Lu, Xufan Zhang, Dapeng Luo et al. An image compression transmission method for wireless video sensor networks. Patent No.: ZL201510827165.0
[9] Li Ma, Xiaoquan Yang, Xiaofeng Zhang, Rangzhong Wu, Dapeng Luo et al.Semi supervised classification method of hyperspectral remote sensing image based on local manifold learning composition. Patent No.: ZL201410651950.0
[10] Nong Sang, Xiaodi Dang, Yuehuan Wang, Dapeng Luo, Fanghua Sha, Jun Wang, Man Jiang, Xiaomin Xie, et al. A method for traffic statistics and violation detection based on monitoring video processing. Patent No.: ZL2013100230021.0
[11] Ruiming Wang, Nong Sang, Yuehuan Wang, Dapeng Luo, Mengmeng Song, Xiaodi Dang, Huini Fu, Xiaomin Xie, et al. A license plate detection method based on machine learning, October, 2012, China. Patent No.: ZL201210411259.6
[12] Dapeng Luo, Nong Sang, Rui Huang, Qiling Tang, Yuehuan Wang, Changxin Gao, Jun Gao, Bangyou Da, et al.A target detection method. Patent No.: ZL 2010 1 0114137.1
[13] Nong Sang, Dapeng Luo, Rui Huang, Yuehuan Wang, Qiling Tang, Jun Gao, Changxin Gao, Bangyou Da, et al. An adaptive cascade classifier training method based on online learning.Patent No.: ZL 2010 1 0166225.6
[14] Dapeng Luo, Jing Zhang, Qinxuan Wang, Siyuan Lei, Huimin Xu, Longsheng Wei, Ying Chen, Weiming Yin, Jinsheng Li, Zhuo Cheng, Bei Dong, Peng Guo, Jiancheng Peng, Siwei Chen, et al.A neural network-based method for classifying motor imagery EEG signals. Patent No.: ZL 202010838957.9. Granted on July 13, 2021
[15] Dapeng Luo, Quanzheng Mou, Bo Tang, Guoqing, Du, Songze He, Xiangli Zhang, Longsheng Wei. A method and system for detecting abnormal events based on attention mechanism. ZL 201810715741.6. Granted on Dec. 28, 2021
[16] Dapeng Luo, Quanzheng Mou, Conghao Wang, Longsheng Wei, Jing Zhang, Songze He, Ao Mao, Huimin Xu. An autonomously learnable target detection method based on domain adaptation. ZL201910621187.X. Granted on July 12, 2022
[17] Dapeng Luo, Songze He, Longsheng Wei, Quanzheng Mou, Guoqing Du, Yunkai Lin, Conghao Wang, Ao Mao. A method for detecting traffic anomalous events based on instance-level attention mechanism. ZL201910603012.6. Granted on May 6, 2022
[18] Dapeng Luo, Jing Zhang, Conghao Wang, Quanzheng Mou, Huimin Xu, Ao Mao, Longsheng Wei, Changxin Gao. Unsupervised target detection method and system based on adaptive domain transfer. ZL201911364685.7. Granted on Mar, 25, 2022 (ANSHI)
