基本信息
主页：http://faculty.ustc.edu.cn/liuwu/zh_CN/index.htm

信息科学技术学院，电子工程与信息科学系

Email: username -at- domain

where username = liuwu,

domain = ustc.edu.cn

研究方向

•多模态大模型，视频生成模型，基于多模态大模型的多智能体系统，多媒体分析与搜索，多模态人体行为分析，通用目标重识别

获奖情况

•2022年，入选国家高层次青年人才计划

•2022年，入选《MIT科技评论》亚太区35岁以下科技创新35人

•2022年，入选北京市科技新星计划

•2021年，天津市科技进步特等奖（排名第四）

•2021年，ACM 中国新星奖

•2023年，《多模态人体分析技术》获得中国多媒体企业创新技术奖（排名第一）

•2021年，IEEEE多媒体新星提名奖

•2021年，IEEE MSA-TC最佳论文提名奖

•2021年，中国信通院OSCAR尖峰开源项目奖

•2020年，京东云与AI事业部“创新研究奖”

•2019年，IEEE Multimedia Magazine 2018 Best Paper Award

•2019年，IEEE Trans. on Multimedia 2019 Best Paper Award

•2019年，京东AI事业部“创新研究奖”

•2019年，IEEE ICME 2019 Outstanding Service Awards

•2018年，京东AI平台与研究部技术创新奖

•2018年，CVPR 2018 LIP 人体姿态估计挑战赛 单人和多人姿态估计任务 两项冠军

•2018年，ECCV 2018 WIDER Pedestrain Detection Challenge 亚军

•2017年，微软青年学者“铸星计划”获得者

•2017年，CCF-腾讯“犀牛鸟”基金优秀奖、优秀专利奖

•2016年，IEEE ICME 2016最佳学生论文（CCF推荐B类会议）

•2016年，IEEE BIGCOM 2016 最佳论文亚军奖

•2016年，中国计算机学会CCF-腾讯“犀牛鸟”基金奖获得者

•2016年，中国科学院优秀博士学位论文奖（省部级）

•2015年，中国科学院院长特别奖 （省部级）

•2014年，国家奖学金

•2013年，中科院计算所“夏培肃”奖

•2013年，国家奖学金

•2009年，山东省优秀毕业生(前5%)

•2008年，北京奥运会火炬传递护跑手

个人经历

•2024.03~至今     中国科学技术大学             特任教授，博士生导师，IET Fellow

•2018.07～2024.03        京东探索研究院                  资深研究员(副总监，正高级职称)

•2015.07～2018.07        北京邮电大学计算机学院             硕士生导师

•2017.11～2018.02        微软亚洲研究院                  访问学者

•2009.09～2015.07        中科院计算所                   硕博连读（导师：李锦涛，张勇东）

•2014.12～2015.05        美国罗切斯特大学             访问研究（访问导师：罗杰波）

•2005.09～2009.07        山东大学                      本科

学术工作

•IEEE Circuits and Systems Society, Multimedia Systems and Applications - (MSA) Technical Committee 委员

•IEEE Transaction on Multimedia 编委

•中国计算机学会 多媒体专委会 副秘书长

•中国图形图象学会 多媒体技术专委会 副秘书长

•中国计算机学会CCF 高级会员

•CCF计算机视觉专委会委员，CCF多媒体技术专委会委员

•ACM未来计算分会创始会员（全球仅48人）

•ACM Trans. on Multimedia Comp., Comm., & Appl. 客座编辑

•Machine Vision and Applications 客邀编辑

•Multimedia Tools and Applications 客座编辑

•曾在以下国际会议任职：

IEEE ICME 2022 程序委员会主席

ACM MM Asia 2021 程序委员会主席

ACM Multimedia Area Chair from 2019

AAAI Area Chair from 2021

ACL Area Chair from 2021

ACM CIKM Area Chair from 2021

IEEE ICCV 2021 Workshop on Human-centric Trustworthy Computer Vision, Organizer Chair

IEEE ICME 2021 Grand Challenges of 106-Point Facial Landmark Localization, Organizer Chair

ACM Multimedia 2021 Workshop on Human-centric Multimedia Analysis, Organizer Chair

ACM Multimedia 2020 Workshop，Organizer Chair of Workshop “Human-centric Multimedia Analysis”。

IEEE ICPR 2020 Workshop，Organizer Chair of Workshop “Human and Vehicle Analysis for Intelligent Urban Computing”。

IEEE ICME 2019, Web Chair, Chair of Special Session: Multimedia Technologies Empowering Retail Experiences;

IEEE BIGMM 2018, Publicity Chair;

IEEE GlobalSIP 2017, Technical Co-Chairs of Symposium on Deep Learning for Intelligent Multimedia Analytics & Security;

IEEE BIGMM 2017, Organizer of the Workshop: Big Data Analytics in Multimedia Sensor Networks

PCM 2016, Chair of Special Session: Leveraging Crowd-sourced and User-generated Data for Multimedia Applications

ICIMCS 2016, Chair of Special session: Multimedia Computing in Smart City

Session Chair: IEEE ICIP 2017, IEEE CCIS 2016

PC Member: CVPR 2019, IJCAI 2019, ICCV 2019, ICMR 2019, ICME 2018;

•担任以下期刊审稿人：

IEEE Transactions on Pattern Analysis and Machine Intelligence, since 2018

IEEE Transactions on Image Processing, since 2018

IEEE Transactions on Multimedia, since 2015

IEEE Transactions on Cybernetics, since 2013

ACM Transactions on Multimedia Computing, Communications, and Applications，since 2016

ACM Transactions on Intelligent Systems and Technology, since 2013

Multimedia Tools and Applications - Springer, since 2014

Neurocomputing - Elsevier, since 2014

代表论文 (My Google Citations)

1.Caoyuan Ma, Yu-Lun Liu, Zhixiang Wang, Wu Liu, Xinchen Liu, Zheng Wang: HumanNeRF-SE: A Simple yet Effective Approach to Animate HumanNeRF with Diverse Poses，CVPR 2024

2.Yu Sun, Lubing Xu, Qian Bao, Wu Liu, Wenpeng Gao, Yili Fu: Learning Monocular Regression of 3D People in Crowds via Scene-Aware Blending and De-Occlusion. IEEE Trans. Multim. 26: 2289-2302 (2024)

3.Jia Qi, Tengfei Liang, Wu Liu, Yidong Li, Yi Jin: A Generative-Based Image Fusion Strategy for Visible-Infrared Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 34(1): 518-533 (2024)

4.Wu Liu, Qian Bao, Yu Sun, Tao Mei: Recent Advances of Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective. ACM Comput. Surv. 55(4): 80:1-80:41 (2023)

5.Yu Sun, Qian Bao, Wu Liu, Tao Mei, Michael J. Black，TRACE: Temporal Regression of 5D Avatars with Dynamic Cameras in 3D Environments, CVPR 2023: 8856-8866

6.Mengxue Qu, Yu Wu, Yunchao Wei, Wu Liu, Xiaodan Liang, Yao Zhao: Learning to Segment Every Referring Object Point by Point, CVPR 2023: 3021-3030

7.Mengxue Qu, Yu Wu, Wu Liu, Xiaodan Liang, Jingkuan Song, Yao Zhao, Yunchao Wei: RIO: A Benchmark for Reasoning Intention-Oriented Objects in Open Environments. NeurIPS 2023

8.Jinkai Zheng, Xinchen Liu, Shuai Wang, Lihao Wang, Chenggang Yan, Wu Liu: Parsing is All You Need for Accurate Gait Recognition in the Wild. ACM Multimedia 2023: 116-124

9.Yu Bai, Bo Zhang, Zheng Zhang, Wu Liu, Jinwen Li, Xiangyang Gong, Wendong Wang: CoCa: A Connectivity-Aware Cascade Framework for Histology Gland Segmentation. ACM Multimedia 2023: 1598-1606

10.Bo Zhang, Yunpeng Tan, Zheng Zhang, Wu Liu, Hui Gao, Zhijun Xi, Wendong Wang: Factorized Omnidirectional Representation based Vision GNN for Anisotropic 3D Multimodal MR Image Segmentation. ACM Multimedia 2023: 1607-1615

11.Lingxiao He, Xingyu Liao, Wu Liu, Xinchen Liu, Peng Cheng, Tao Mei: FastReID: A Pytorch Toolbox for General Instance Re-identification. ACM Multimedia 2023: 9664-9667

12.Tengfei Liang, Yi Jin, Wu Liu, Yidong Li: Cross-Modality Transformer With Modality Mining for Visible-Infrared Person Re-Identification. IEEE Trans. Multim. 25: 8432-8444 (2023)

13.Shanshan Dong, Tian-Zi Niu, Xin Luo, Wu Liu, Xinshun Xu: Semantic Embedding Guided Attention with Explicit Visual Feature Fusion for Video Captioning. ACM Trans. Multim. Comput. Commun. Appl. 19(2): 68:1-68:18 (2023)

14.Wu Liu, Hailin Shi, Yunchao Wei, Dan Zeng, Nicu Sebe, Jiebo Luo: Introduction to the Special Issue on Trustworthy Multimedia Computing and Applications in Urban Scenes. ACM Trans. Multim. Comput. Commun. Appl. 19(6): 211:1-211:4 (2023)

15.Yu Sun, Wu Liu, Qian Bao, Yili Fu, Tao Mei, Michael J. Black: Putting People in their Place: Monocular Regression of 3D People in Depth. CVPR 2022: 13233-13242

16.Jinkai Zheng, Xinchen Liu, Wu Liu, Lingxiao He, Chenggang Yan, Tao Mei: Gait Recognition in the Wild with Dense 3D Representations and A Benchmark. CVPR 2022: 20196-20205

17.Mengxue Qu, Yu Wu, Wu Liu, Qiqi Gong, Xiaodan Liang, Olga Russakovsky, Yao Zhao, Yunchao Wei: SiRi: A Simple Selective Retraining Mechanism for Transformer-Based Visual Grounding. ECCV (35) 2022: 546-562

18.Jinlin Wu, Lingxiao He, Wu Liu, Yang Yang, Zhen Lei, Tao Mei, Stan Z. Li: CAViT: Contextual Alignment Vision Transformer for Video Object Re-identification. ECCV (14) 2022: 549-566

19.Xiaodong Chen, Wu Liu, Xinchen Liu, Yongdong Zhang, Jungong Han, Tao Mei: MAPLE: Masked Pseudo-Labeling autoEncoder for Semi-supervised Point Cloud Action Recognition. ACM Multimedia 2022: 708-718

20.Guang Yang, Wu Liu, Xinchen Liu, Xiaoyan Gu, Juan Cao, Jintao Li: Delving into the Frequency: Temporally Consistent Human Motion Transfer in the Fourier Space. ACM Multimedia 2022: 1156-1166

21.Quanwei Yang, Xinchen Liu, Wu Liu, Hongtao Xie, Xiaoyan Gu, Lingyun Yu, Yongdong Zhang: REMOT: A Region-to-Whole Framework for Realistic Human Motion Transfer. ACM Multimedia 2022: 1128-1137

22.Jinkai Zheng, Xinchen Liu, Xiaoyan Gu, Yaoqi Sun, Chuang Gan, Jiyong Zhang, Wu Liu, Chenggang Yan: Gait Recognition in the Wild with Multi-hop Temporal Switch. ACM Multimedia 2022: 6136-6145

23.Kecheng Zheng, Wu Liu, Lingxiao He, Tao Mei, Jiebo Luo, Zheng-Jun Zha: Group-aware Label Transfer for Domain Adaptive Person Re-identification. CVPR 2021: 5310-5319

24.Yu Sun, Qian Bao, Wu Liu, Yili Fu, Michael Black, and Tao Mei: Monocular, One-stage, Regression of Multiple 3D People. ICCV 2021: 11159-11168

25.Dan Zeng, Yuhang Huang, Qian Bao, Junjie Zhang, Chi Su, Wu Liu: Neural Architecture Search for Joint Human Parsing and Pose Estimation. ICCV 2021: 11365-11374

26.Xiaodong Chen, Xinchen Liu, Wu Liu, Yongdong Zhang, Xiao-Ping Zhang, Tao Mei: Explainable Person Re-Identification with Attribute-guided Metric Distillation. ICCV 2021: 11793-11802

27.Min Ren, Lingxiao He, Xingyu Liao, Wu Liu, Yunlong Wang, Tieniu Tan: Learning Instance-level Spatial-Temporal Patterns for Person Re-identification. ICCV 2021: 14910-14919

28.Yajun Gao, Tengfei Liang, Yi Jin, Xiaoyan Gu, Wu Liu, Yidong Li, Congyan Lang: MSO: Multi-Feature Space Joint Optimization Network for RGB-Infrared Person Re-Identification. ACM MM 2021: 5257-5265

29.Xiao Wang, Zheng Wang, Wu Liu, Xin Xu, Jing Chen, Chia-Wen Lin, Consistency-Constancy Bi-Knowledge Learning for Pedestrian Detection in Night Surveillance. ACM MM 2021: 4463-4471

30.Wei Zhang, Lingxiao He, Peng Chen, Xingyu Liao, Wu Liu, Qi Li, Zhenan Sun: Boosting End-to-end Multi-Object Tracking and Person Search via Knowledge Distillation. ACM MM 2021: 1192-1201

31.Qian Bao, Wu Liu, Yuhao Cheng, Boyan Zhou, Tao Mei: Pose-Guided Tracking-by-Detection: Robust Multi-Person Pose Tracking. IEEE Trans. Multim. 23: 161-175 (2021)

32.Jianyu Yang, Wu Liu, Junsong Yuan, Tao Mei: Hierarchical Soft Quantization for Skeleton-Based Human Action Recognition. IEEE Trans. Multim. 23: 883-898 (2021)

33.Qian Bao, Wu Liu, Jun Hong, Lingyu Duan, Tao Mei, Pose-native Network Architecture Search for Multi-person Human Pose Estimation, ACM MM 2020: 592-600

34.Kecheng Zheng, Wu Liu, Jiawei Liu, Zheng-Jun Zha, Tao Mei, Hierarchical Gumbel Attention Network for Text-based Person Search, ACM MM 2020: 3441-3449

35.Xinchen Liu, Wu Liu, Jinkai Zheng, Chenggang Yan, Tao Mei,Beyond the Parts: Learning Multi-view Cross-part Correlation for Vehicle Re-identification, ACM MM 2020: 907-915

36.Boqiang Xu, Lingxiao He, Xingyu Liao, Wu Liu, Zhenan Sun, Tao Mei, Black Re-ID: A Head-shoulder Descriptor for the Challenging Problem of Person Re-Identification, ACM MM 2020: 673-681

37.Xiaodong Chen, Wu Liu, Xinchen Liu, Yongdong Zhang, Tao Mei, An Instant and Progressive Cross-modality Person Search System, ACM MM 2020, Demo Paper.

38.Qi Wang, Xinchen Liu, Wu Liu, Wenyin Liu, Tao Mei: MetaSearch: Incremental Product Search via Deep Meta-learning, IEEE Trans. Image Processing 2020, DOI: 10.1109/TIP.2020.3004249

39.Lingxiao He, Wu Liu: Guided Saliency Feature Learning for Person Re-identification in Crowded Scenes, ECCV 2020: 357-373

40.Guangrui Li, Guoliang Kang, Wu Liu, Yunchao Wei, Yi Yang: Content-Consistent Matching for Domain Adaptive Semantic Segmentation, ECCV 2020: 440-456

41.Xiao Wang, Wu Liu, Jun Chen, Xiaobo Wang, Chenggang Yan, Tao Mei: Listen, Look, and Find the One: Robust Person Search with Multimodality Index, ACM Trans. Multimedia Computing, Communications, and Applications 2020, DOI: 10.1145/3380549

42.Xiao Wang, Jun Chen, Zheng Wang, Wu Liu, Shin’ichi Satoh, Chao Liang, Chia-Wen Lin: When Pedestrian Detection Meets Nighttime Surveillance: A New Benchmark, IJCAI 2020: 509-515

43.Kun Liu, Wu Liu, Huadong Ma, Mingkui Tan, Chuang Gan: A Real-time Action Representation with Temporal Encoding and Deep Compression. IEEE Trans. CSVT 2020, DOI: 10.1109/TCSVT.2020.2984569

44.Yu Sun, Yun Ye, Wu Liu, Wenpeng Gao, Yili Fu, Tao Mei, “Skeleton-disentangling based Self-attention Temporal Network for Human 3D Mesh Recovery from Monocular Video”, ICCV 2019: 5349-5358

45.Lingxiao He, Yinggang Wang, Wu Liu, He Zhao, Zhennan Sun, Jiashi Feng, “Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identification”, ICCV 2019: 8449-8458

46.Xinchen Liu, Wu Liu, Meng Zhang, Jingwen Chen, Lianli Gao, Chenggang Yan, Tao Mei, “Social Relation Recognition from Videos via Multi-scale Spatial-Temporal Reasoning”, CVPR 2019: 3566-3574

47.Weijian Ruan, Wu Liu, Qian Bao, Jun Chen, Yuhao Cheng and Tao Mei, “POINet: Pose-Guided Ovonic Insight Network for Multi-Person Pose Tracking”, ACM MM 2019: 284-292, Oral paper.

48.Xinchen Liu, Meng Zhang, Wu Liu, Jingkuan Song, Tao Mei: BraidNet: Braiding Semantics and Details for Accurate Human Parsing. ACM Multimedia 2019: 338-346 (CCF A)

49.Xiangpeng Li, Lianli Gao, Xuanhan Wang, Wu Liu, Xing Xu, Heng Tao Shen, Jingkuan Song: Learnable Aggregating Net with Diversity Learning for Video Question Answering. ACM Multimedia 2019: 1166-1174

50.Meiyu Liang, Junping Du, Wu Liu, Zhe Xue, Yue Geng and Congxian Yang, “Fine-grained Cross-media Representation Learning with Deep Quantization Attention Network”, ACM Multimedia 2019: 1313-1321, Oral paper.

51.Jingkuan Song, Xiaosu Zhu, Lianli Gao, Xin-Shun Xu, Wu Liu, Heng Tao Shen: Deep Recurrent Quantization for Generating Sequential Binary Codes. IJCAI 2019: 912-918

52.Lianli Gao, Pengpeng Zeng, Jingkuan Song, Yuan-Fang Li, Wu Liu, Tao Mei, Heng Tao Shen: Structured Two-Stream Attention Network for Video Question Answering. AAAI 2019: 6391-6398

53.Wan-Jin Yu, Zhen-Duo Chen, Xin Luo, Wu Liu, Xin-Shun Xu: DELTA: A deep dual-stream network for multi-label image classification. Pattern Recognition 91: 322-331 (2019)

54.Meng Zhang, Xinchen Liu, Wu Liu, Anfu Zhou, Huadong Ma, Tao Mei, “Multi-Granularity Reasoning for Social Relation Recognition from Images”, ICME 2019: 1618-1623

55.Kun Liu, Wu Liu, Huadong Ma, Wenbing Huang, Xiongxiong Dong: Generalized zero-shot learning for action recognition with web-scale video data. World Wide Web 22(2): 807-824 (2019)

56.Xinchen Liu, Wu Liu, Tao Mei, Huadong Ma: PROVID: Progressive and Multimodal Vehicle Reidentification for Large-Scale Urban Surveillance. IEEE Trans. Multimedia 20(3): 645-658 (2018) (Best Paper Awards)

57.Huadong Ma, Wu Liu: A Progressive Search Paradigm for the Internet of Things. IEEE MultiMedia 25(1): 76-86 (2018)

58.Wu Liu, Cheng Zhang, Huadong Ma, Shuangqun Li: Learning Efficient Spatial-Temporal Gait Features with Deep Learning for Human Identification. Neuroinformatics 16(3-4): 457-471 (2018) (SCI, IF:3.200)

59.Liang Liu, Wu Liu, Yu Zheng, Huadong Ma, and Cheng Zhang, “Third-Eye: A Mobilephone-Enabled Crowdsensing System for Air Quality Monitoring”, UbiComp 2018: 2(1): 20:1-20:26

60.Kun Liu, Wu Liu, Chuang Gan, Mingkui Tan, Huadong Ma: T-C3D: Temporal Convolutional 3D Network for Real-Time Action Recognition. AAAI 2018: 7138-7145

61.Minghui Zhang, Wu Liu, Huadong Ma: Joint License Plate Super-Resolution and Recognition in One Multi-Task Gan Framework. ICASSP 2018: 1443-1447

62.Shuangqun Li, Wu Liu, Huadong Ma, Shaopeng Zhu: Beyond View Transformation: Cycle-Consistent Global and Partial Perception Gan for View-Invariant Gait Recognition. ICME 2018: 1-6

63.Wu Liu, Xinchen Liu, Huadong Ma, Peng Cheng: Beyond Human-level License Plate Super-resolution with Progressive Vehicle Search and Domain Priori GAN. ACM Multimedia 2017: 1618-1626

64.Jinna Lv, Wu Liu, Meng Zhang, He Gong, Bin Wu, Huadong Ma: Multi-feature Fusion for Predicting Social Media Popularity. ACM Multimedia 2017: 1883-1888 (CCF A)

65.Jingkuan Song, Lianli Gao, Zhao Guo, Wu Liu, Dongxiang Zhang, Heng Tao Shen: Hierarchical LSTM with Adjusted Temporal Attention for Video Captioning. IJCAI 2017: 2737-2743

66.Wu Liu, Huadong Ma, Heng Qi, Dong Zhao, Zhineng Chen, “Deep learning hashing for mobile visual search”, EURASIP J. Image and Video Processing, 2017: 17 (SCI, IF: 1.74)

67.Xinchen Liu, Wu Liu, Tao Mei, and Huadong Ma, “A Progressive Deep Learning-based Approach to Vehicle Re-identification for Urban Surveillance”, ECCV, 2016, pp. 869-884

68.Xinchen Liu, Wu Liu, Huadong Ma, Huiyuan Fu, “Large-Scale Vehicle Re-Identification in Urban Surveillance Videos”, IEEE ICME, 2016, pp.1-6 (ICME 2016 Best Student Paper)

69.Cheng Zhang, Wu Liu, Huadong Ma, Huiyuan Fu, “Siamese Neural Network Based Gait Recognition for Human Identification”, ICASSP, 2016, pp. 2832-2836

70.Yihong Gao, Huadong Ma, Wu Liu, and Shui Yu, “Cost Optimal Resource Provisioning for Live Video Forwarding across Video Data Centers”, BIGCOM 2016, pp.27-38 (Best Paper Runner-up)

71.Wu Liu, Tao Mei, Yongdong Zhang, Cherry Che, Jiebo Luo, “Multi-Task Deep Visual-Semantic Embedding for VideoThumbnail Selection”, IEEE CVPR, 2015, pp. 3707-3715

72.Wu Liu, Tao Mei, Yongdong Zhang. “Instant Mobile Video Search with Layered Audio-Video Indexing and Progressive Transmission,” IEEE Trans. on Multimedia, vol.16, no.8, pp.2242-2255, 2014

73.Wu Liu, Tao Mei, Yongdong Zhang, Jintao Li and Shipeng Li, “Listen, Look, and Gotcha: Instant Video Search with Mobile Phones by Layered Audio-Video Indexing”，Proc. of ACM Multimedia, 2013, pp. 887-896. (Full paper)

74.Wu Liu, Yongdong Zhang, Sheng Tang, Jinhui Tang, Richang Hong and Jintao Li, “Accurate Estimation of Human Body Orientation From RGB-D Sensors,” IEEE Transactions on Cybernetics, vol.43, no.5, pp.1442-1452, 2013 (SCI, IF:3.236)

75.Wu Liu, Feibin Yang, Yongdong Zhang, Qinghua Huang and Tao Mei, “LAVES: An Instant Mobile Video Search System Based on Layered Audio-Video Indexing,” Proc. of ACM Multimedia, 2013, pp. 409-410.

76.Yicheng Song, Yong-Dong Zhang, Juan Cao, Tian Xia, Wu Liu, Jin-Tao Li, “Web Video Geolocation by Geotagged Social Resources”, IEEE Trans. on Multimedia, 14(2): pp. 456-470, 2012

已授权专利

[1] 国际专利：马华东，刘武，傅慧源，张诚，《Method and Device for Gait Recognition》，授权号：US Patent 15,016, 882

[2] 国际专利：马华东，刘武，刘鑫辰，张海涛，傅慧源，《Method and Device for Vehicle Search》，授权号：US Patent 10,152,644

[3] 国际专利：梅涛，李世鹏，刘武，《Mobile Video Search》,授权号：US Patent 10,452,712

[4] 国内专利：夏添，刘武，万吉，张勇东，李锦涛，《一种检测运动物体相互靠近和/或接触的方法和系统》，授权号：CN 102339465B

[5] 国内专利：马华东, 刘武, 刘鑫辰, 张海涛, 傅慧源，《一种车辆搜索方法及装置》，专利号：ZL201610798016.0

[6] 国内专利：马华东，刘武，李双群，《一种基于视频的火焰检测方法及装置》，专利号：ZL201611257101.2

[7] 国内专利：马华东，刘武，张征，《一种图像中雨雾同步合成、去除的方法和装置》，专利号：ZL201710549424.7

[8] 国内专利：马华东，刘武，刘培业，《一种基于深度学习的人体朝向预测方法及装置》，专利号：ZL201710282729.6

[9] 国内专利：梅涛，张雷，徐迎庆，刘武，赵何, 《智能结算台》，专利号：ZL201830677162.8

[10] 国内专利：刘武，马华东，《一种基于搜索的多张车牌清晰化方法及装置》，专利号：ZL201710841156.6

[11] 国内专利：鲍慊，刘武，梅涛，孙宇. 《一种姿态确定方法、装置、设备及存储介质》 专利号：ZL202011395729.5

[12] 国内专利：刘武，梅涛，周伯文.《图像分割方法、装置、设备、存储介质》 专利号：ZL202011369633.1

[13] 国内专利：梅涛，左佳伟，姚霆，王林芳，刘武，徐俊《导播方法、装置及计算机可读存储介质》 专利号：ZL201910701261.9

[14] 国内专利：左佳伟，王林芳，姚霆，刘武，鲍慊，梅涛 《视频播放控制方法、装置和计算机可读存储介质》 专利号：ZL201910700195

[15] 国内专利：鲍慊，刘武，梅涛《用于人体检测的方法》专利号：ZL201910331939.9

[16] 国内专利：鲍慊，刘武，梅涛 《生成人体关键点检测模型的方法和装置》专利号：ZL201811380813.2

[17] 国内专利：石海林，赵何，刘武，梅涛，周伯文 《自助结算方法、装置以及存储介质》 专利号：ZL201811380178.8

[18] 国内专利：颜成钢，陈婧文，刘武，刘鑫辰，孙垚棋，张继勇，张勇东《一种基于深度摄像头的商品检测方法》专利号：ZL201910429812.0

[19] 国内专利：刘鑫辰，刘武，梅涛 《图像处理方法、装置和计算机可读存储介质》专利号：ZL 201910875284.1

[20] 国内专利：刘武，马华东，李雅楠，刘鲲，黄嘉文，黄婷婷 《图像处理方法、图像去雨方法、装置、终端及介质》专利号：ZL 201810212524.5

[21] 国内专利：刘武，马华东，高文慧，黄婷婷 《图像数据处理、模型的建立方法、装置、计算机设备和存储介质》 专利号：ZL 201711015902.2

[22] 国内专利：刘武，马华东，李雅楠，刘婷婷,黄婷婷 《视频中的事件检测方法及装置》 专利号：ZL 201711023244.1

[23] 国内专利：刘武，梅涛 《目标重识别模型的训练方法、目标重识别方法及装置》 专利号：ZL 202110763047.3

重要开源项目

FastReID通用目标重识别算法库, https://github.com/JDAI-CV/fast-reid/ Star 2925, Fork 767, 信通院OSCAR尖峰开源项目及社区奖、入选项中国科协“科创中国” 开源创新产品奖

Neuhub智能供应链开源工具, https://openi.org.cn/neuhub Star 903, Fork 517，

ROMP人体三维分析库, https://github.com/Arthur151/ROMP Star 991, Fork 191

CenterX人体检测代码库, https://github.com/JDAI-CV/centerX Star 549, Fork 84