承担项目:
1. 2021年12月-2023年6月,主持教育部中国高校产学研创新基金项目“激光雷达与摄像头的视觉地图融合方法”,项目经费30万。 2. 2019年4月-2022年4月,主持重庆市科技局基础研究与前沿探索(重点项目),“多源异构科技大数据整合与深度挖掘技术研究”,项目经费80万。 3. 2017年1月-2018年12月,主持重庆市科委重点研发项目子项“基于非现场执法系统的动态公路车辆自动衡器产品开发及产业化”,项目经费10万。 4. 2016年6月-2018年12月,主持重庆市科委社会民生科技创新专项“基于物联网的农产品冷链物流质量安全溯源系统研发”,项目经费20万。 5. 2014年9月-2015年3月,主持横向科研项目“电动助力车控制系统研发”,项目经费10万。 6. 2014年7月-2014年9月,主持横向科研项目“异地换车软件开发”,项目经费5万。 7. 2013年12月-2015年12月,主研重庆市科委“121”项目“农业农村信息化综合服务协同创新与关键技术攻关”,项目经费300万。 8. 2013年1月-2015年12月,主持国家科技部支撑计划课题“全国农村公共数据服务标准化与共享示范”的子课题“公共数据与服务资源共享示范”,项目经费62.5万。 9. 2013年1月-2013年12月,主研教育部-中国移动科研基金“物联网应用开放创新与应用示范”,项目经费100万。 10. 2012年1月-2014年12月,主研(第一)国家科技部支撑计划课题“农村物联网综合信息服务关键技术集成与示范”,项目经费928万。 11. 2012年4月-2012年8月,主持横向科研项目“重庆市12369环境应急指挥系统升级方案设计”,项目经费9.7万。 12. 2011年4月-2011年8月,主持横向科研项目“LET基带处理板设计及研制”,项目经费10万。 13. 2010年10月-2010年11月,主持横向科研项目“基带信号处理平台设计及研制”,项目经费15万。 14. 2009年7月-2009年12月,主持横向科研项目“卫星移动通信试验系统基带平台设计及设备驱动程序研制”,项目经费26万。 代表性论文
Jinpeng Liu, Song Wu, Guoqiang Xiao, MS-ROCANET: Multi-scale residual othognal-channe attention network for scene text detection, ICASSP 2022 [CCF B类会议]
Shan Liu, Song Wu, Guoqiang Xiao, 'BI-DIRECTIONAL NORMALIZATION AND COLOR ATTENTION-GUIDED GENERATIVE ADVERSARIAL NETWORK FOR IMAGE ENHANCEMENT', ICASSP 2022 [CCF B类会议]
王志强,伍胜,肖国强,张自力,刘志有,彭景,开源许可证合规性研究,《软件学报》,2022
Linpeng Lv, Xiaoqin Tang, Futong He, Jingchuan Fan, and Guoqiang Xiao, Automated Nanoparticle Count via Modified BlendMask Instance Segmentation on SEM Images, International Conference on Bioinformatics and Biomedicine (BIBM) 2021, Virtual, Online, USA, Dec. 9-12, 2021, pp. 1757-1764. [CCF B类会议]
Xinyi Li, Song Wu, Guoqiang Xiao, Global Fusion Capsule Network with Pairwise-Relation Attention Graph Routing, International Conference on Neural Information Processing (ICONIP2021), Dec. 8-12, 2021, BALI, Indonesia (LNCS, Volume 13108), pp 254-265 [CCF C类会议]
Yunzhou Cheng, Guoqiang Xiao, Xinyi Li, Wenzhuo Ma, Xinye Gou, Dual-Path Deep Supervision Network with Self-Attention for Visible-Infrared Person Re-Identification, International Symposium on Circuits and Systems ( ISCAS), Korea, May 22-28, 2021, [CCF C类会议]
Yunzhou Cheng, Guoqiang Xiao, Xiaoqin Tang, Wenzhuo Ma, Xinye Gou, Two-Phase Feature Fusion Network for Visible-Infrared Person Re-Identification, International Conference on Image Processing (ICIP), Alaska, USA, Sept. 19-22, 2021, pp.1149-1153. [CCF C类会议]
TianYu Chen, Guoqiang Xiao, Xiaoqin Tang, Xianfeng Han, Wenzhuo Ma, Xinye Gou, Cascade Attention Blend Residual Network for Single Image Super-Resolution, International Conference on Image Processing (ICIP), Alaska, USA, Sept. 19-22, 2021, pp.559-563. [CCF C类会议]
You Zhai, Xianfeng Han, Wenzhuo Ma, Xinye Gou, Guoqiang Xiao, PGMANet: Pose-Guided Mixed Attention Network for Occluded Person Re-Identification, International Joint Conference on Neural Networks (IJCNN), Virtual, Shenzhen, China, Jul. 18-22, 2021. (EI: 20214110996645). [CCF C类会议]
Mingcheng Cai, Shuo Zhang, Guoqiang Xiao, Shoucheng Fan, 3D face reconstruction and dense alignment with a new generated dataset, Displays, 70(2021), 102094, Dec. 2021;
Hanshen Xiao, Nan Du, Zhikang Wang, Guoqiang Xiao, Wrapped ambiguity Gaussian mixed model with applications in sparse sampling based multiple parameter estimation, Signal Processing, 179(2021): 107825, Feb. 2021 (IF: 4.662)
Yunfeng Wang, Xiaoqin Tang, Jingchuan Fan, and Guoqiang Xiao, Weakly Supervised Instance Segmentation of SEM Image via Synthetic Data, International Conference on Bioinformatics & Biomedicine, Houston, Texas, USA, December 16-19, 2020, BIBM2020, pp.2672-2679; [CCF B类会议]
Rui Yang, Song Wu, Guoqiang Xiao, Unsupervised Multiple Granularities Attention-Attribute Learning for Person Re-identification, IEEE International Symposium on Circuits and Systems, Sevilla, SPAIN, October 11-14 2020, ISCAS2020, pp.1-5; [CCF C类会议]
Guo Chen, Song Wu, and Guoqiang Xiao, A Deep Clustering-Guide Learning for Unsupervised Person Re-identification, International Conference on Neural Information Processing, ICONIP (3) 2019, Sydney, Australia, December 12-15, 2019, pp.585-596; [CCF C类会议]
Xianming Zeng, Song Wu, Guoqiang Xiao, Multi-object Tracking with Conditional Random Field, International Conference on Neural Information Processing, ICONIP (5) 2019, Sydney, Australia, December 12-15, 2019, pp.206-214; [CCF C类会议]
Hanshen Xiao, Guoqiang Xiao, On Solving Ambiguity Resolution with Robust Chinese Remainder Theorem for Multiple Numbers, IEEE Transactions on Vehicular Technology, 68(5), MAY, 2019,pp.5179-5184; (IF: 5.339)
Hanshen Xiao, Guoqiang Xiao, A Framework of Topology-Transparent Scheduling Based on Polynomial Ring, IEEE Wireless Communications Letters, 8(3), pp.829-832, JUNE 2019, (IF: 3.546)
Zhenghao Li, Song.Wu, and Guoqiang.Xiao. Facial Expression Recognition by Multi-Scale CNN with Regularized Center Loss, International Conference on Pattern Recognition. IEEE, 2018: 3384-3389. [CCF C类会议]
Hanshen Xiao, Guoqiang Xiao, Robustness in Chinese Remainder Theorem for Multiple Numbers and Remainder Coding, IEEE Transactions on Signal Processing, 66(16), AUG, 2018, pp. 4347-4361; (IF: 5.230)
Yongsheng Zhou, Nan Pu, Li Qian, Song Wu, and Guoqiang Xiao, “Human Action Recognition in Videos of Realistic Scenes Based on Multi-Scale CNN Feature”, 18th Pacific-Rim Conference on Multimedia, PCM2017, September 28-29, 2017, Harbin, China, Vol. 10736, LNCS, pp.316-326; [CCF C类会议]
Hanshen Xiao, Guoqiang Xiao, “Notes on CRT-based robust frequency estimation”. Signal Processing, 133(4), APR, 2017, pp.13-17; (IF: 3.47)
Xiao, Hanshen, Ye, Yu, Xiao, Guoqiang, Kang, Qin,“Algorithms for comparison in residue number systems”,2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016, December 13-16, 2016, Jeju, Korea, 7820790, pp.1-6;
Yu Ye,Hanshen Xiao,Guoqiang Xiao,“A Rotation-Aided Arctangent Phase Discriminator with One-Bit Quantization”, IEEE Signal Processing Letters, 23(9), Setp2016, pp.1236-1240; (IF: 2.582)
Hanshen Xiao, Hari Krishna Garg, Jianhao Hu, and Guoqiang Xiao,“New Error Control Algorithms for Residue Number System Codes”, ETRI Journal, Apr2016, 38(2), pp.326-336;
Tang Xiaoqin and Xaio Guoqiang, “Action recognition via global and local movement patterns”, Journal of Computational Information Systems, 11(4), 2015, pp1353-1362;(EI:20151600746577)
肖国强,康勤,江健民,张贝贝,“基于中心宏块的视频目标跟踪算法”,《计算机学报》,Vol.24, No.9, 2011,pp1-7;(EI:20114214432297)
G. Xiao, J. Jiang and K. Qiu, “Automated activity detection as a pre-processing stage of video camera feeds”, The Imaging Science Journal, Vol.57, No.4, 2009, pp191-196;
Jianmin Jiang and Guoqiang Xiao, “Object-based pseudo-three-dimensional conversion of two-dimensional videos”, Optical Engineering, Vol.48, No.7, 077007, 2009, 077007;
Jianmin Jiang, Kaijin Qiu, Guoqiang Xiao, “A Block-Edge-Pattern based Content Descriptor in DCT Domain”, IEEE Transactions on Circuits and Systems for Video Technology, Vol.18, No.7, 2008, pp994-998;
Jianmin Jiang, Zhengmin Li, Guoqiang Xiao, and Juan Chen, "Real-time shot-cut detection in a compressed domain" Journal of Electronic Imaging, SPIE, Vol.16, No.4, 2007,pp1-6;
Jiang J.,Xiao G.,“Adding lossless video compression to MPEGs”,IEEE Transactions on Multimedia, Volume 8, No. 3, June 2006,pp622 – 625;
JiangJ., XiaJ. andXiao G.,“MPEG-2 based lossless video compression”, Vision, Image and Signal Processing, IEE Proceedings, Volume 153, No.2, April 2006,pp244-252;
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