| Personal Resume | ||||
| 姓名 | 陈文武 | 性别 | 男 |
| 出生年月 | 1996.02 | 邮箱 | wenwuchen@njust.edu.cn | |
| 学历 | 博士在读 | 电话 | 15205183613 | |
| 学位 | 工学硕士 | 通讯地址 | 南京理工大学电光学院A527 | |
教育经历 |
2023.03-至今 2019.09-2022.06 2015.09-2019.06 | |||
荣誉获奖 |
1. 2025年,获全国光学与光学工程博士生学术联赛“特等奖” 2. 2025年,获中国国际大学生创新大赛“金奖”(排序:1/15) 3. 2025年,获国际计算成像会议(CITA)“优秀学生报告” 4. 2025年,获PhotoniX年度“优秀论文奖” 5. 2025年,获计算成像暨3D视觉成果展优秀成果 6. 2025年,获江苏省研究生新兴光电子器件科创实践大赛一等奖(排序:1/3) 7. 2025年,获评南京理工大学优秀博士培养对象 8. 2025年,获江苏省研究生科研创新计划项目资助 9. 2024年,获Optica光学成像大会(Optica Imaging Congress)“学生论文奖” 10. 2024年,获国际光学与光子工程会议(icOPEN)学生竞赛一等奖 11. 2024年,获计算光学测量及其教育国际研讨会(COME)学生竞赛一等奖 12. 2024年,获光学青年科学家学术年会(OYSS)“优秀学生报告” 13. 2024年,获国际新型光电探测技术及其应用学术交流会(NDTA)“优秀学生报告” 14. 2024年,获江苏省大学生创新创业大赛一等奖(排序:1/9) 15. 2024年,获评南京理工大学优秀研究生 16. 2023年,获Advanced Photonics论坛:智能光子学“优秀快闪报告”
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| 奖学金 | 2025年,博士生国家奖学金 2025年,南京理工大学“瑞华杯”年度大学生人物 2023-2025年,南京理工大学学业一等奖学金 2019-2022年,东南大学学业一等奖学金 | |||
掌握技能 |
研究方向:超快计算光学三维成像 | |||
发表论文 |
期刊论文: [1] W. Chen, S. Feng*, W. Yin, Y. Li, J. Qian, Q. Chen*, and C. Zuo*, "Deep-learning-enabled temporally super-resolved multiplexed fringe projection profilometry: high-speed kHz 3D imaging with low-speed camera," PhotoniX 5, 25 (2024).(一作,SCI一区,IF:19.1,ESI高被引论文,编辑精选,PhotoniX年度优秀论文) [2] W. Chen§, Y. Liu§, S. Feng*, W. Yin, J. Qian, Y. Li, H. Zhang*, M. Trusiak, M. Kujawinska, Q. Chen*, and C. Zuo*, "Dual-frequency angular-multiplexed fringe projection profilometry with deep learning: breaking hardware limits for ultra-high-speed 3D imaging," Opto-Electron Adv 8, 250021 (2025).(一作,SCI一区,IF:22.4,封面论文) [3] B. Wang§, W. Chen§, J. Qian, S. Feng*, Q. Chen*, and C. Zuo*, "Single-shot super-resolved fringe projection profilometry (SSSR-FPP): 100,000 frames-per-second 3D imaging with deep learning," Light Sci Appl 14, 70 (2025).(共同一作,SCI一区,IF:23.4,ESI高被引/热点论文,封面论文) [4] W. Chen, B. Zhang, L. Gu, H. Liu, J. Suo, and X. Shao, "Snapshot compressive imaging based digital image correlation: temporally super-resolved full-resolution deformation measurement," Opt. Express 30, 33554 (2022). [5] W. Chen, X. Shao, and X. He, "Data compression of displacement fields in digital image correlation by non-integer quantization," Journal of Southeast University (English Edition) 38, 42 (2022). [6] 汤洁§,陈文武§,周听然,孙煌乐,陈钱,冯世杰,左超,“基于邻域几何质心的深度学习点云配准,”光子学报 54, 0954211 (2025). [7] X. Shao, J. Qu, and W. Chen*, "Single-Camera Three-Dimensional Digital Image Correlation with Enhanced Accuracy Based on Four-View Imaging," Materials 16, 2726 (2023). [8] L. Gu, W. Chen, X. Hu, Z. Tong, and X. Shao, "Refraction correction for deep-water three-dimensional visual measurement based on multi-objective optimization," Opt. Express 31, 31383 (2023). [9] X. Li, S. Feng, W. Chen, Z. Jin, Q. Chen, and C. Zuo, "Adaptive Structured‐Light 3D Surface Imaging with Cross‐Domain Learning," Laser & Photonics Reviews 2401609 (2025). [10] Y. Li, M. Li, W. Chen, J. Qian, S. Feng, Q. Chen, and C. Zuo, "mrPCA‐PSP: Robust Motion‐Resistant Phase‐Shifting Profilometry Based on Principal Component Analysis," Laser & Photonics Reviews 2401938 (2025). [11] Y. Liu, X. Li, Z. Jin, W. Chen, E. Y. Lam, S. Feng, Q. Chen, and C. Zuo, "Multimodal adaptive temporal phase unwrapping using deep learning and physical priors," APL Photonics 10, 046104 (2025). 会议论文: [1] W. Chen, Y. Liu, S. Feng, and C. Zuo, "Temporally super-resolved multiplexed fringe projection structured light 3D imaging empowered by deep learning," in Optical Measurement Systems for Industrial Inspection XIV (SPIE, 2025), Vol. 13567, pp. 79–81. [2] W. Chen, S. Feng, and C. Zuo, "Deep-learning-enabled Temporally Super-resolved Multiplexed Fringe Projection Profilometry: High-speed kHz 3D Imaging with Low-speed Camera," in Optica Imaging Congress 2024 (3D, AOMS, COSI, ISA, pcAOP) (Optica Publishing Group, 2024), p. CF4A.5. [3] W. Chen, S. Feng, and C. Zuo, "Deep-learning-enabled temporally super-resolved multiplexed fringe projection profilometry: high-speed kHz 3D imaging with low-speed camera," in Optics and Photonics for Advanced Dimensional Metrology III, P. J. De Groot, P. Picart, and F. Guzman, eds. (SPIE, 2024), p. 35. [4] W. Chen, J. Qian, S. Feng, and C. Zuo, "High-speed 3D imaging and metrology: from classical fringe projection to deep learning approaches," in 2024 Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR) (2024), Paper We3G_1 (Optica Publishing Group, 2024). | |||
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