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李水旺

作者:李水旺         日期:2026年03月10日

1、基本情况

李水旺,男,198707月生,博士,副教授,人工智能教研室主任。

2、个人主要经历(教育、工作)

200609~201006 广东工业大学 计算机学院 本科

201209~201506 四川大学 计算机学院 硕士研究生

201507~201601 香港浸会大学理论与计算研究所 研究助理

201709~202106 四川大学 计算机学院 博士研究生

202108~202410 桂林理工大学 信息科学与工程学院 讲师

202411~至今 桂林理工大学 信息科学与工程学院 副教授

3、主要荣誉奖励

曾带领团队在国际竞赛中多次获奖,如OTD2020第三名、2022仿生无人系统目标跟踪赛道第二名、IPHD2020第二名。提出的实时无人机目标跟踪算法,显著提升跟踪性能和效率,研究成果发表于国际顶会CVPRICCVICMLAAAIACM MMIROS以及国际顶刊 TGRS TCSVTPRTIVMGRSESAIoT-JInformation Science等。目前担任国际期刊Pattern RecognitionSCI一区,Top)、IEEE TCSVTSCI一区,Top)、Knowledge-Based SystemsSCI 一区,Top)、Journal of Photogrammetry and Remote SensingSCI一区,Top)、IEEE TNSRESCI一区)、NeurocomputingSCI二区)、IEEE SPLSCI二区)、Applied IntelligenceSCI二区)、IET Image Processing CCF C)、Digital Signal Processing (SCI)Frontiers in Plant Science (SCI)等国际知名期刊和CVPR CCF A)、ICCVCCF A)、ECCVCCF A)、ICMLCCF A)、ICLRCCF A)、NIPSCCF A)、AAAICCF A)、ACM MM CCF A)等国际顶会的审稿人,国际期刊ElectronicsSCI)的Guest Editor。曾担任PRML 2022ICRAIC 2023等国际会议分会场主席,受邀在ROBOTMEET2022RoboAICon2023等会议作报告。

4、教学工作与研究领域

教学工作:主要承担研究生课程《深度学习》、本科生课程《计算机视觉》、《学科前沿》等。

研究领域:模式识别、计算机视觉、人工智能,目前主要从事目标检测和目标跟踪的研究。

5、承担或参与的主要科研项目

1)国家自然科学基金地区基金,计算资源受限下基于无人机的目标跟踪方法研究,2025-2028,主持;

2)广西科技基地和人才专项,基于深度图的人体检测算法研究,2022-2025,主持;

3)广西自然科学基金,仿生无人机高速低功耗目标跟踪方法研究,2024-2027,主持;

4)广西重点研发计划,基于大模型的企业创新智能管理平台的研发与应用示范,2025-2028,主持子课题;

5国家自然科学基金 指纹特征的统计模型及其在潜指纹和重叠指纹处理中的应用研究2013-2015,参与;

6)国际合作项目,美国国家标准与技术研究院(NIST),“Measurement Science of Biometrics”2012-2014,参与;

7)国家“十三五”重点研发计划“网络空间安全”专项子课题项目,异构身份联盟与监管基础科学问题研究——异构身份联盟集成认证与防伪防盗技术研究,2017-2020,参与;

8)成都大熊猫繁育研究基地项目,野生动物红外照相物种识别与传输关键技术研究,2018-2021,参与;

9)国家自然科学基金项目,协同图像分解与分割的并发多任务图像处理变分方法 2020-2023,参与;

10)广西重点研发计划,联网自动驾驶飞行器整机装备研制及应用示范,2023-2026,参与;

11)广西重点研发计划,多维度智慧街面巡防系统研发与应用示范,2023-2026,参与;

6、近期发表的学术论文:

1An Improved AM-FM-Based Approach for Reconstructing Fingerprints from Minutiae[J]IJIG 2015) 第一作者)

2On the spatial inhomogeneity of fingerprint minutiae: A regression approach. ICB 2015 CCF C)( 第一作者)

3Asymmetric discriminative correlation filters for visual tracking[J] (FITEE, 2020, SCI, CCF C) 第一作者)

4Equivalence of Correlation Filter and Convolution Filter in Visual Tracking(ICIG 2021) 第一作者)

5Learning Residue-Aware Correlation Filters and Refining Scale Estimates with the GrabCut for Real-Time UAV Tracking3DV 2021, CCF C 第一作者)

6Learning Residue-Aware Correlation Filters and Refining Scale for Real-time UAV TrackingPattern Recognition, 2022, SCI一区, CCF B 第一作者)

7Rank-Based Filter Pruning for Real-Time UAV Tracking." (Submitted to International Conference on Multimedia and Expo (ICME 2022, CCF B) 通讯作者)

83D fingerprint modelling and synthesis[J]. Electronics Letters, 2015, SCI: 1418-1420. 第二作者)

9Towards Silhouette-Aware Human Detection in Depth ImagesIJCNN 2021, CCF C 第二作者)

10Learning Disentangled Representation for Fine-grained Visual Cate-gorization ICIG 2021 第二作者)

11SSPNet: Scale Selection Pyramid Network for Tiny Person Detection from UAV Images IEEE Geoscience and Remote Sensing Letters, 2022, SCI 第二作者)

12Low-quality 3D Face Recognition with Soft ThresholdingCCBR 2021 第二作者)

13The 1st Tiny Object Detection Challenge: Methods and Results. ECCVW 2020, CCF B)( 共同作者)

14Text Detection in Tibetan Ancient Books:A Benchmark (PRML 2021) 共同作者)

15Fisher Pruning for Real-Time UAV Tracking.(IJCNN 2022, CCF C) (通讯作者)

16Detection Beyond What and Where: A Benchmark for Detecting Occlusion State (PRCV 2022CCF C) (通讯作者)

17Towards Semi-supervised Segmentation of Retinal Fundus Images via Self-training (PRML 2022) (通讯作者)

18Learning Disentangled Representation in Pruning for Real-Time UAV Tracking (ACML 2022, CCF C) (通讯作者)

19Efficiency and Precision Trade-offs in UAV Tracking with Filter Pruning and Dynamic Channel Weighting(FSDM 2022) (通讯作者)

20Tracking Small and Fast Moving Objects: A Benchmark (ACCV 2022, CCF C) (通讯作者)

21Global Filter Pruning with Self-Attention for Real-Time UAV Tracking (BMVC 2022, CCF C) (通讯作者)

22Animal Pose Refinement in 2D Images with 3D Constraints (BMVC 2022, CCF C) (第二作者)

23Unsupervised 3D Animal Canonical Pose Estimation with Geometric Self-Supervision (FG 2022, CCF C) (第二作者)

24Identity-Preserved Human Posture Detection in Infrared Thermal Images: A Benchmark. (Sensors 2022, SCI) (第二通讯作者)

25Unsupervised Domain Adaptation with Shape Constraint and Triple Attention for Joint Optic Disc and Cup Segmentation (Sensors 2022, SCI) (共同一作)

26Animal Pose Estimation Based on 3D Priors (Applied Science 2022, SCI) (第二作者)

27Learning Disentangled Representation with Mutual Information Maximization for Real-Time UAV Tracking (ICME 2023, CCF B) (通讯作者)

28Towards Discriminative Representations with Contrastive Instances for Real-Time UAV Tracking (ICME 2023, CCF B) (通讯作者)

29Fisher Pruning for Developing Real-Time UAV Trackers (Journal of Real-Time Image Processing 2023, SCI) (通讯作者)

30Beyond Animal Detection:A Benchmark for Detecting Animal Age Group (AICS 2023) (通讯作者)

31Liquid Content Detection In Transparent Containers: A Benchmark (Sensors, 2023, SCI) (共同作者)

32Beyond Human Detection: A Benchmark for Detecting Common Human Posture (Sensors, 2023, SCI) (共同作者)

33Data-Scarce Animal Face Alignment via Bi-Directional Cross-Species Knowledge Transfer (ACM MM 2023, CCF A) (共同作者)

34Adaptive and Background-Aware Vision Transformer for Real-Time UAV Tracking (ICCV 2023, CCF A) (第一作者)

35SDD: A Benchmark for Empowering Shadow Detection ICAIBD 2024)(通讯作者)

36Enhancing UAV Tracking: a Focus on Discriminative Representations Using Contrastive InstancesJournal of Real-Time Image Processing2024, SCI)(通讯作者)

37Learning Target-Aware Vision Transformers for Real-Time UAV TrackingIEEE Transactions on Geoscience and Remote Sensing, 2024SCI一区, CCF B)(第一作者)

38Night-Time Pothole Detection: A Benchmark (Electronics, 2024, SCI) (通讯作者)

39Tracking Transforming Objects: A Benchmark PRCV 2024 CCF C)(通讯作者)

40Real-Time UAV Tracking Through Disentangled Representation with Mutual Information Maximization (IEEE Access, 2024, SCI) (通讯作者)

41Unsupervised Low-Light Image Enhancement Based on Explicit Denoising and Knowledge Distillation (Computers, Materials & Continua, 2024, SCI) (通讯作者)

42Human Detection in Low-Resolution Depth Images ICAIDT 2024)(通讯作者)

43Towards Labeling-free Fine-grained Animal Pose Estimation (ACM MM 2024, CCF A)(共同作者)

44Tracking Reflected Objects: A BenchmarkACCV 2024 CCF C)(通讯作者)

45Towards Reflected Object Detection: A Benchmark CVM 2025 CCF C)(通讯作者)

46Adaptively Bypassing Vision Transformer Blocks for Efficient Visual Tracking Pattern Recognition, 2025, SCI一区, CCF B (通讯作者)

47Learning Adaptive and View-Invariant Vision Transformer for Real-Time UAV TrackingICML 2024, CCF A)(通讯作者)

48Exploiting rank-based filter pruning for real-time UAV trackingSPIC 2025, SCI)(通讯作者)

49Spatio-Temporal Feature Aware Vision Transformers for Real-Time UAV TrackingDrones, SCI二区)(共同作者)

50Geometric self-supervision for monocular 3D animal pose estimationPattern Recognition, 2025, SCI一区, CCF B (共同作者)

51Learning Occlusion-Robust Vision Transformers for Real-Time UAV TrackingCVPR 2025, CCF A)(通讯作者)

52MambaNUT: Nighttime UAV Tracking via Mamba-based Adaptive Curriculum Learning.IROS 2025, CCF C)(通讯作者)

53Camouflaged Object Tracking: A Benchmark.ACM MM 2025, CCF A)(通讯作者)

54Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges.GRSM 2025, SCI一区)(通讯作者)

55SMTrack: End-to-End Trained Spiking Neural Networks for Multi-Object Tracking in RGB Videos. IEEE IoT-J 2025, SCI一区)(通讯作者)

56CapeNext: Rethinking and Refining Dynamic Support Information for Category-Agnostic Pose Estimation. AAAI 2025, CCF A)(共同作者)

57Low-Light Object Tracking: A Benchmark. TIV 2025, SCI一区)(通讯作者)

58Learning an Adaptive and View-Invariant Vision Transformer for Real-Time UAV Tracking. TCSVT 2025, SCI一区)(通讯作者)

59Low-Light Amodal Objects Tracking: A Benchmark. RAL 2025, SCI二区)(共同作者)

60Learning motion blur robust vision transformers for real-time UAV tracking.ESA 2025, SCI一区)(通讯作者)

61UniTrack: Unifying day and night tracking with continual learning.Information Science 2026, SCI一区)(通讯作者)

62AC Series Arc Fault Detection Method Based on Composite Multiscale Entropy and MRMR-RF.Applied Science 2026, SCI三区)(共同作者)



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