个人信息
Personal information
教授 博士生导师 硕士生导师
性别:男
在职信息:在职
所在单位:人工智能与自动化学院
学历:研究生(博士)毕业
学位:工学博士学位
毕业院校:18luck新利电竞
学科:模式识别与智能系统曾获荣誉:
2019 湖北省科技进步一等奖: 监控视频中行人分析关键技术及产业化应用
2010 工信部技术发明二等奖:精确导航成像自动目标识别核心技术与系统
2007 教育部科技进步一等奖:实时自动目标识别与小型化实时信息处理技术
2005 工信部科技进步二等奖:图像导航的典型地海面目标自动捕获、识别、匹配与跟踪技术
专著:
[1] Tianxu Zhang, Yuehuan Wang, Sheng Zhong. Guidance Information Processing Methods in Airborne Optical Imaging Seeker. Springer, 2019/07
[2] 张天序,王岳环,钟胜。飞行器光学寻的制导信息处理技术. 国防工业出版社。 ISBN:978-7-118-09322-3 2014年6月
主要期刊论文:
[1] Lei Zhang, Yuehuan Wang, Yang Huo. Object Detection in High-Resolution Remote Sensing Images Based on a Hard-Example-Mining Network. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 59, NO. 10, OCTOBER 2021. 8768-8780
[2] Jinpu Zhang, Lei Zhang, Tianyu Liu, Yuehuan Wang∗. YOLSO: You Only Look Small Object. J. Vis. Commun. Image R. 81 (2021) 103348
[3] Kaiheng Dai, Yuehuan Wang∗. End-to-end DeepNCC framework for robust visual tracking. J. Vis. Commun. Image R. 70(2020), 102800:1-12
[4] Qiong Song, Yuehuan Wang∗, Kaiheng Dai, Kun Bai.Single frame infrared image small target detection via patch similarity propagation based background estimation. Infrared Physics & Technology, 106(2020), 103197:1-10
[5] Kaiheng Dai, Yuehuan Wang∗, Qiong Song. Real-Time Object Tracking with Template Tracking
and Foreground Detection Network. Sensors, 2019(19), 3945:1-17
[6] Qiong Song, Yuehuan Wang∗, Xiaoyun Yan, Haiguo Gu. Remote sensing images stripe noise removal by double sparse regulation and region separation. Remote sensing, 2018, 10, 998:1-35
[7] Xiaoyun Yan,Yuehuan Wang∗,Qiong Song,Kaiheng Dai. Salient object detection via boosting object-level distinctiveness and saliency refinement. Journal of Visual Communication and Image Representation,Volume 48, 2017: 224-237
[8] Jun Wang,Yuehuan Wang∗. Multi-period visual tracking via online deepboost learning. Neurocomputing 200(2016): 55-69
[9] Qiong Song, Yuehuan Wang∗, Kun Bai. High dynamic range infrared images detail enhancement based on local edge preserving filter. Infrared Physics & Technology, 77(2016): 464-473
[10] Kun Bai, Yuehuan Wang∗, Qiong Song, Dang Liu. Semi-supervised learning based edge-preserving background estimation for small target detection. Infrared Physics & Technology, 72(2015): 29-36
[11] Jun Wang, Yuehuan Wang∗,Moving cast shadow detection using online sub-scene shadow modeling and object inner-edges analysis. J. Vis. Commun. Image R., 25(2014): 978-993
[12] Kun Bai, Yuehuan Wang∗, Yi Yan, Qiong Song. Infrared small target tracking based on target and interference behaviors Model. Infrared Physics & Technology, 67(2014):256-265
主要会议论文:
[1] Ruowang Chang, Qiong Song, Yuehuan Wang∗. RGNET: A Two-stage Low-light Image Enhancement Network Without Paired Supervision. 2021 International Joint Conference on Neural Networks (IJCNN2021): 9533511
[2] Ziwen Li, Yuehuan Wang∗, Ruowang Chang. From Under- to Overexposure: Single Image Contrast Enhancement via Semi-Supervised Learning. BMVC2021
[3] Dai, Kaiheng , Y. Wang∗, X. Yan and Y. Huo. "FUSION OF TEMPLATE MATCHING AND FOREGROUND DETECTION FOR ROBUST VISUAL TRACKING." IEEE International Conference on Image Processing IEEE, 2018: 2720-2724
[4] Yang Huo, Yuehuan Wang∗, Xiaoyun Yan, Kaiheng Dai. Soft Mask Correlation Filter for Visual Object Tracking, International Conference on Image Processing, 2018, 2705-2709.
[5] Kaiheng Dai, Yuehuan Wang∗, Xiaoyun Yan LONG-TERM OBJECT TRACKING BASED ON SIAMESE NETWORK ICIP2017: 3640-3644
[6] Xiaoyun Yan, Yuehuan Wang∗, Qiong Song, Kaiheng Dai. Salient object detection by multi-level feature learning determined sparse reconstruction. ICIP2016, 2762-2766
[7] Kun Bai, Yuehuan Wang∗, Qiong Song. Patch similarity based edge-preserving background estimation for single frame infrared small target detection. ICIP2016, 181-185
[8] Jun Wang, Yuehuan Wang∗, Man Jiang, Xiaoyun Yan. A SUB-SCENE MODELING FRAMEWORK FOR MOVING CAST SHADOW DETECTION. ICIP2014, 1663-1667
[9] Xiaoyun Yan, Yuehuan Wang∗, Man Jiang, Jun Wang. SALIENT REGION DETECTION VIA COLOR SPATIAL DISTRIBUTION DETERMINED GLOBAL CONTRASTS. ICIP2014, 1170-1174
[10] Wang Y H, Moghaddam A N, Behrens, G et al. Pulsatile Pressure Measurements via Harmonics-based Orthogonal Projection of Noisy Pressure Gradients. Medical Imaging 2006, SPIE vol. 6143: 95-110
[11] Wang Y H, Amini A A. Integrable Pressure Gradients via Harmonics-Based Orthogonal Projection. Information Processing in Medical Imaging, Christensen and Sanka (Eds.), IPMI 2005, LNCS 3565, pp.431-442