(1)学术论文
[1] Ping Ye, Gang Xiao*, Jun Liu. Multimodal Features Alignment for Vision–Language Object Tracking[J]. Remote Sensing, 2024, 16:1168.(SCI二区)
[2] Ping Ye, Gang Xiao*, Jun Liu.AMATrack: A Unified NetworkWithAsymmetricMultimodal Mixed Attention for RGBD Tracking[J]. IEEE Transactions on Instrumentation and Measurement, 2024, 73:1-11.(SCI二区)
[3] Jun Liu,Ping Ye,XingchenZhang, et al. Real-time long-term tracking with reliability assessment and object recovery[J]. IET Image Processing, 2021, 15:918-935.(SCI三区)
[4] XingchenZhang,Ping Ye, Henry Leung,KeGong, Gang Xiao*. Object fusion tracking based on visible and infrared images: A comprehensive review[J]. Information Fusion, 2020, 63:166-187.(SCI一区Top)
[5] XingchenZhang,Ping Ye,ShengyunPeng, Jun Liu, Gang Xiao*.DSiamMFT: An RGB-T fusion tracking method via dynamic Siamese networks using multi-layer feature fusion[J]. Signal Processing: Image Communication, 2020, 84:115756.(SCI二区)
[6] 肖刚,冶平,张星辰, et al.多源异构图像融合跟踪研究现状与展望[J].指挥控制与仿真, 2020, 42:1-6.(核心期刊)
[8] XingchenZhang,Ping Ye, Jun Liu, et al. Decision-level visible and infrared fusion tracking via Siamese networks[C]//Proc. 9th Chin. Conf. Inf. Fusion. 2019(国内会议)
[9] XingchenZhang,Ping Ye,Gang Xiao*. VIFB: A visible and infrared image fusion benchmark[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops. 2020:104-105.(CCF A,Oral)
[10] XingchenZhang,Ping Ye,DanQiao, Gang Xiao. Object fusion tracking based on visible and infrared images using fully convolutionalsiamesenetworks[C]//2019 22th International Conference on information fusion (FUSION). IEEE, 2019:1-8.(EI/ISTP检索,Oral)
(2)专利
[1]基于领域搜索策略的抗遮挡相关滤波跟踪方法专利号:ZL 201910793569.0,公开号:CN110189365A
[2]抗遮挡相关滤波跟踪方法专利号:ZL 201910438677.6公开号:CN110599519A
(3)软著
[1]红外与可见光融合跟踪软件[简称:融合跟踪软件] V1.0(2020年)
[2]运动目标跟踪软件[简称:目标跟踪软件] V1.0(2019年)
(4)著作
参与编著《图像融合(英文版)》(978-7-313-24132-0)