个人基本信息

姓名：黄珺

职称：教授、博导

邮箱： junhwong@whu.edu.cn

研究方向

（1）机器视觉

（2）红外成像

（3）人工智能

教育经历

2008/9–2014/3， 华中科技大学， 电路与系统， 博士

2004/9–2008/6， 华中科技大学， 电子信息工程， 学士

工作经历

2025/11至今，星空游戏(StarSky Sports)官方网站，机器人学院，教授

2023/12-2025/11，星空游戏(StarSky Sports)官方网站，电子信息学院，教授

2018/01-2023/12，星空游戏(StarSky Sports)官方网站，电子信息学院，副教授

2017/01-2018/01，佐治亚理工学院，School of Electrical and Computer Engineering，访问学者

2014/8-2017/12，星空游戏(StarSky Sports)官方网站，电子信息学院，讲师

2014/8-2016/7，星空游戏(StarSky Sports)官方网站，博士后

科研项目

1.国家自然科学基金面上项目，62473297，退化鲁棒与人机感知兼顾的多场景图像融合模型及应用研究，2025/01-2028/12

2.湖北省重点研发计划，2021BBA235，基于多源信息融合的生猪健康大数据智能诊断监测关键技术研发，2022/01-2023/12

3.国家自然科学基金面上项目，62075169，基于多维异源特征与模糊推理的红外与可见光图像融合方法及应用研究，2021/01-2025/12

4.自主科研项目，2042020kf0017，基于全局联合稀疏分解的红外与可见光图像融合方法研究，2020/01-2021/12

5.国家自然科学基金青年基金，61605146，面向傅里叶红外成像光谱仪干涉数据立方的场景非均匀性校正方法，2017-2019

6.中国博士后科学基金，2015M572194，基于傅里叶成像光谱仪的海面温度遥感信号处理方法研究，2015-2016

代表论文

google scholar主页：https://scholar.google.com/citations?user=7KE1gqsAAAAJ&hl=zh-CN

1.Wu K, Huang J*, Ma Y, et al. PSD-ELGAN: A pseudo self-distillation based CycleGAN with enhanced local adversarial interaction for single image dehazing[J]. Neural Networks, 2024: 106689.

2. Wang G, Ma Y, Huang J*, et al. Instance segmentation of pigs in infrared images based on INPC model[J]. Infrared Physics & Technology, 2024: 105491.

3. Cai Z, Ma Y, Huang J*, et al. CMFuse: Cross-Modal Features Mixing via Convolution and MLP for Infrared and Visible Image Fusion[J]. IEEE Sensors Journal, 2024.

4. Huang J, Li H, Gong Y, et al. Robust Feature Matching via Graph Neighborhood Motion Consensus[J]. IEEE Transactions on Multimedia, 2024.

5. Huang J, Chen Z, Ma Y, et al. PTET: A progressive token exchanging transformer for infrared and visible image fusion[J]. Image and Vision Computing, 2024, 144: 104957.

6. Pan E, Yu Y, Mei X, Huang J*, et al. From the abundance perspective: Multi-modal scene fusion-based hyperspectral image synthesis[J]. Information Fusion, 2024: 102419.

7. Qiu Z, Ma Y, Fan F, Huang J*, et al. Improved DBSCAN for Infrared Cluster Small Target Detection[J]. IEEE Geoscience and Remote Sensing Letters, 2023, 20: 5511905.

8. Tang L, Chen Z, Huang J*, Ma J*, et al. CAMF: An Interpretable Infrared and Visible Image Fusion Network Based on Class Activation Mapping[J]. IEEE Transactions on Multimedia, 2023.

9. Sun Y, Xu H, Ma Y, Wu M, Mei X, Huang J*, et al. Dual Spatial-spectral Pyramid Network with Transformer for Hyperspectral Image Fusion[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 5526016.

10. Pan E, Ma Y, Mei X, Huang J*, et al. Hyperspectral image destriping and denoising from a task decomposition view[J]. Pattern Recognition, 2023, 144: 109832.

11. Liu W, Mei X, Ma Y, Huang J*, et al. Graph l 1-Laplacians Regularized GMM for Hyperspectral Unmixing[J]. IEEE Geoscience and Remote Sensing Letters, 2023, 20: 5507205.

12. Qin J, Ma Y, Huang J, et al. A progressive framework for rotary motion deblurring[J]. Defence Technology, 2024, 32: 159-172.

13. Wu K, Huang J*, Ma Y, et al. Cycle-retinex: Unpaired low-light image enhancement via retinex-inline cyclegan[J]. IEEE Transactions on Multimedia, 2024, 26: 1213-1228.

14. Pan Erting, Ma Yong, Mei Xiaoguang, Huang Jun, et al. D2Net: Deep Denoising Network in Frequency Domain for Hyperspectral Image[J]. IEEE/CAA Journal of Automatica Sinica. 2023,10,(3):813-815.

15. Tang Linfeng, Deng Yuxin, Ma Yong, Huang Jun, et al. SuperFusion: A Versatile Image Registration and Fusion Network with Semantic Awareness[J]. IEEE/CAA Journal of Automatica Sinica. 2022,9,(12):2121-2137.

16. Yu Yang, Ma Yong, Mei Xiaoguang, Huang Jun, et al. Multi-stage convolutional autoencoder network for hyperspectral unmixing[J]. International Journal of Applied Earth Observation and Geoinformation. 2022,113:102981.

17. 张浩, 马佳义, 樊凡, 黄珺，等. 基于特征空间多分类对抗机制的红外与可见光图像融合[J]. 计算机研究与发展. 2022:1-16.

18. Zhang Y, Mei X, Ma Y, Jiang X, Peng Z, Huang J*. Hyperspectral Panoramic Image Stitching Using Robust Matching and Adaptive Bundle Adjustment[J]. Remote Sensing, 2022, 14(16): 4038.

19. JIANG Tao, MA Yong, HUANG Jun et al. Incremental structure from motion algorithm based on weighted scene graph[J]. Journal of Applied Optics, 2022, 43(5): 921-928, 1014.江滔,马泳,黄珺,王贺松,樊凡.基于赋权连接图的增量式运动恢复结构算法[J].应用光学,2022,43(5):921-928,1014

20. Qiu Z, Ma Y, Fan F, Huang J*, et al. Global Sparsity-Weighted Local Contrast Measure for Infrared Small Target Detection[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19: 1-5.

21. Le Z, Huang J*, Xu H, et al. UIFGAN: An unsupervised continual-learning generative adversarial network for unified image fusion[J]. Information Fusion, 2022, 88: 305-318.

22. Wu L, Fang S, Ma Y, F Fan, J Huang*, et al. Infrared small target detection based on gray intensity descent and local gradient watershed[J]. Infrared Physics and Technology, 2022, 123: 104171.

23. Ma J, Tang L, Fan F, et al. SwinFusion: Cross-domain Long-range Learning for General Image Fusion via Swin Transformer[J]. IEEE/CAA Journal of Automatica Sinica, 2022, 9(7): 1200-1217.

24. Xu H, Gong M, Tian X, et al. CUFD: An encoder–decoder network for visible and infrared image fusion based on common and unique feature decomposition[J]. Computer Vision and Image Understanding, 2022, 218: 103407.

25. Pan E, Ma Y, Mei X, et al. SQAD: Spatial-Spectral Quasi-Attention Recurrent Network for Hyperspectral Image Denoising[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-14.

26. Li Z, Ma Y, Mei X, et al. Guided neighborhood affine subspace embedding for feature matching[J]. Pattern Recognition, 2022, 124: 108489.

27. Qiu Z, Ma Y, Fan F, et al. A pixel-level local contrast measure for infrared small target detection[J]. Defence Technology, 2022, 18(9): 1589-1601.

28. Zhang C, Ma X, Wang M, Huang J*, et al. Density-guided Locality Consensus for Fast Feature Matching[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19: 1-5.

29. Ma J, Gao W, Ma Y, Huang J*, et al. Learning Spatial-Parallax Prior Based on Array Thermal Camera for Infrared Image Enhancement[J]. IEEE Transactions on Industrial Informatics, 2022, 18(10): 6642-6651.

30. Ma J, Wang S, Zhang K, He Z*, Huang J*, et al. Fast and Robust Loop-closure Detection via Convolutional Auto-encoder and Motion Consensus[J]. IEEE Transactions on Industrial Informatics, 2022, 18(6): 3681-3691.

31. Xu H, Le Z, Huang J*, et al. A Cross-Direction and Progressive Network for Pan-Sharpening[J]. Remote Sensing, 2021, 13(15): 3045.

32. 潘尔婷, 马泳, 黄珺*, 等. 跨数据集评估的高光谱图像分类[J]. 中国图象图形学报, 2021, 26(8): 1969-1977.

33. Jin Q, Ma Y, Fan F, Huang J, et al. Adversarial Autoencoder Network for Hyperspectral Unmixing[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021.

34. Yu Y, Ma Y, Mei X, et al. A Spatial-Spectral Feature Descriptor for Hyperspectral Image Matching[J]. Remote Sensing, 2021, 13(23): 4912.

35. Peng Z, Ma Y, Mei X, et al. Hyperspectral Image Stitching via Optimal Seamline Detection[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19: 5507805.

36. Fan G, Ma Y, Mei X, Fan F, Huang J, et al. Hyperspectral anomaly detection with robust graph autoencoders[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021.

37. Fan G, Ma Y, Huang J*, et al. Robust graph autoencoder for hyperspectral anomaly detection[C]//ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021: 1830-1834.

38. Pan E, Ma Y, Fan F, Mei X, Huang J,et al. Hyperspectral Image Classification across Different Datasets: A Generalization to Unseen Categories[J]. Remote Sensing, 2021, 13(9): 1672.

39. Wu M , Ma Y , Huang J , et al. A new patch-based two-scale decomposition for infrared and visible image fusion[J]. Infrared Physics & Technology, 2020, 110: 103362.

40. Qiu Z, Ma Y, Fan F, et al. Adaptive scale patch-based contrast measure for dim and small infrared target detection[J]. IEEE Geoscience and Remote Sensing Letters, 2020.

41. Huang J , Le Z , Ma Y , et al. A generative adversarial network with adaptive constraints for multi-focus image fusion[J]. Neural Computing and Applications, 2020, 32(18): 15119-15129.

42. Wu L, Ma Y, Fan F, Wu M, Huang J*, et al. A Double-Neighborhood Gradient Method for Infrared Small Target Detection[J]. IEEE Geoscience and Remote Sensing Letters, 2021, 18(8): 1476-1480.

43. Wang Y, Mei X, Ma Y, Huang J*, et al. Learning to find reliable correspondences with local neighborhood consensus[J]. Neurocomputing, 2020, 406: 150-158.

44. Le Z , Huang J* , Fan F , et al. A Generative Adversarial Network For Medical Image Fusion[C]// 2020 IEEE International Conference on Image Processing (ICIP). IEEE, 2020: 370-374.

45. Xiao S , Ma Y , Fan F , Huang J, et al. Tracking small targets in infrared image sequences under complex environmental conditions[J]. Infrared Physics & Technology, 2020, 104:103102.

46. 吴艺阳, 樊凡, 周怡, 黄珺等. 插值前置的仿射变换FPGA实现方法[J]. 计算机工程与应用, 2020, 56(6):7.

47. 周怡，马佳义，黄珺*. 基于互导滤波和显著性映射的红外可见光图像融合［J］. 遥感技术与应用，2020，35（6）：1275- 1284.

48. Wu M, Ma Y, Fan F, Mei X, Huang J*, et al. Infrared and visible image fusion via joint convolutional sparse representation[J]. Journal of the Optical Society of America A, 2020, 37(7): 1105-1115. 4

49. Ma Y, Fan G, Jin Q, Huang J*. et al. Hyperspectral Anomaly Detection via Integration of Feature Extraction and Background Purification[J]. IEEE Geoscience and Remote Sensing Letters, 2021, 18(8): 1436-1440.

50. Jun Huang, Zhuliang Le, Yong Ma, et al. MGMDcGAN: Medical Image Fusion Using Multi-Generator Multi-Discriminator Conditional Generative Adversarial Network[J]. IEEE Access, 2020, 8(1): 55145-55157.

51. Xu Han, Fan Fan, Zhang Hao, Le Zhuliang, Huang Jun*, A Deep Model for Multi-Focus Image Fusion Based on Gradients and Connected Regions[J]. IEEE Access, 2020, 8(1): 26316-263278.

所获专利

1. 基于自适应尺度图像块加权差测量的红外小目标检测方法和系统，专利号:ZL 202110457402.4

2. 一种红外与可见光图像文本描述生成方法，专利号:ZL 202110501891.9

3. 基于生成对抗网络的红外与可见光图像融合方法，专利号:ZL 201811011172.3

4. 基于自适应直方图分段的红外图像增强方法及系统，专利号:ZL 201711086688.x

5. 基于全变分的异分辨率红外与可见光图像融合方法及系统，专利号:ZL201811068897.6

6. 基于高斯场约束和流形正则化的图像配准方法及系统，专利号:ZL201811140774.9

7. 基于自适应直方图分段的红外图像增强方法及系统，专利号:ZL 201711086688.x

8. 基于生成对抗网络的红外与可见光图像融合方法，申请号:ZL 201811011172.3

9. 基于局部线性迁移的非刚性变换图像特征匹配方法及系统，申请号:ZL 201510801246.3

10.基于局部线性迁移和刚性模型的图像特征匹配方法及系统，申请号:ZL 201510807463.3

所获荣誉

1. 红外成像增强若干问题及方法研究，湖北省科学技术奖（自然科学奖）二等奖，2022，1/4

2. 高帧频、大面阵红外成像关键技术及装备，教育部高等学校科学研究优秀成果奖(技术发明）二等奖，2014，3/5

3. 高性能红外成像关键技术研究及其应用，湖北省科学技术奖（科技进步奖）一等奖，2013，13/15

4. Hsue-shen Tsien Paper Award（钱学森论文奖，IEEE/CAA JAS年度唯一最佳论文奖，1/362），2023，排名第四