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  • 刘武 ( 特任教授 )

    的个人主页 http://faculty.ustc.edu.cn/liuwu/zh_CN/index.htm

  •   特任教授   博士生导师   硕士生导师
个人简介

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


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