基本信息

孟高峰  男  研究员, 博士生导师  中国科学院自动化研究所 多模态人工智能系统全国重点实验室

通信地址: 北京市海淀区中关村东路95号智能化大厦607

邮政编码: 100190

电子邮件: 

研究领域

所学专业

模式识别与智能系统

研究方向

  • 图像处理与计算机视觉:图像分析、低层视觉
  • 机器学习及其应用:连续学习、神经网络结构搜索与自适应、多模态大模型微调与对齐
  • 智能自主进化与类脑学习:从自主进化的角度探索智能的产生与发展

招生信息

招生范围

招生方向

图像处理、计算机视觉、机器学习

招生要求

  • 数学基础扎实
  • 具有过硬的编程能力
  • 具有良好的英语写作能力
  • 具有很强的上进心、做事积极主动、能够自我激励

教育背景与工作经历

教育背景

工作经历

  • 2022.07至今:中国科学院香港创新研究院人工智能与机器人创新中心 教授,博导
  • 2020.11至今:中科院自动化所多模态人工智能系统全国重点实验室 研究员,博导
  • 2019.03至今:中国科学院大学 岗位教师
  • 2016.11-2017.10: 西北大学(美国) 访问学者(合作导师:吴郢 教授)
  • 2015.05-2015.07: 代尔夫特理工大学(荷兰)访问学者(合作导师:Alan Hanjalic 教授)
  • 2012.11-2020.10: 中科院自动化所模式识别国家重点实验室 副研究员
  • 2009.07-2012.10: 中科院自动化所模式识别国家重点实验室 助理研究员

学术兼职

  • Associate Editor of Neurocomputing (since 2014)
  • Associate Editor of Image and Vision Computing (since 2021)
  • IEEE Senior Member (since 2017)
  • Program Committee Member of ICLR, 2021, 2022
  • Program Committee Member of NeurIPS, 2020, 2021, 2022
  • Program Committee Member of IJCAI, 2020
  • Program Committee Member of CVPR, 2017, 2018, 2020, 2022, 2023
  • Program Committee Member of ACCV 2018
  • Program Committee Member of ICONIP, 2018
  • Program Committee Member of the International Workshop on Camera Based Document Analysis and Recognition (CBDAR), 2013, 2015, 2017, 2019, 2021
  • Program Committee Member of International Conference on Pattern Recognition (ICPR), 2016, 2018
  • Technical Program Committee Member of the International Workshop on Robust Reading (IWRR), 2014, 2016, 2018, 2020
  • Reviewer of IEEE T-PAMI, IEEE T-IP, IEEE TMM, PR, …

发表论文

  1. Shixiong Xu, Chenghao Zhang, Lubin Fan*, Gaofeng Meng*, Shiming Xiang, Jieping Ye. AddressCLIP: Empowering Vision-Language Models for City-wide Image Address Localization, ECCV, 2024.
  2. Song Lai, Mingyang Zhao, Zhe Zhao, Shi Chang, Xiaohua Yuan, Qingfu Zhang, Gaofeng Meng*, Hongbin Liu. EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-Expert Network, Medical Image Computing and Computer Assisted Intervention (MICCIA), 2024.
  3. Yimeng Geng, Gaofeng Meng, Mingcong Chen, Guanglin Cao, Mingyang Zhao, Jianbo Zhao, Hongbin Liu. Force Sensing Guided Artery-Vein Segmentation via Sequential Ultrasound Images, Medical Image Computing and Computer Assisted Intervention (MICCIA), 2024.
  4. Bolin Ni, Xing Nie, Chenghao Zhang, Shixiong Xu, Xin Zhang,Gaofeng Meng*, Shiming Xiang.MoBoo: Memory-Boosted Vision Transformer for Class-Incremental Learning, IEEE Transactions on Circuits and Systems for Video Technology(IEEE T-CSVT), 2024.
  5. Chenghao Zhang, Gaofeng Meng*, Bin Fan*, Tian Kun, Zhaoxiang Zhang, Shiming Xiang, Chunhong Pan. Reusable Architecture Growth for Continual Stereo Matching, IEEE Transactions on Pattern Analysis and Machine Intelligence(IEEE T-PAMI), 2024.
  6. Hongbo Zhao, Bolin Ni, Junsong Fan, Yuxi Wang, Yuntao Chen, Gaofeng Meng*, Zhaoxiang Zhang*. Continual Forgetting for Pre-trained Vision Models, (CVPR), 2024.
  7. Mingyang Zhao, Jingen Jiang, Lei Ma, Shiqing Xin, Gaofeng Meng, Dong-ming Yan. Correspondence-Free Non-Rigid Point Set Registration Using Unsupervised Clustering Analysis, (CVPR), 2024.
  8. Bolin Ni, Hongbo Zhao, Chenghao Zhang, Ke Hu, Gaofeng Meng*, Zhaoxiang Zhang, Shiming Xiang. Enhancing Visual Continual Learning with Language-Guided Supervision, (CVPR), 2024.
  9. Shixiong Xu, Gaofeng Meng*, Xing Nie, Bolin Ni, Bin Fan, Shiming Xiang. Defying Imbalanced Forgetting in Class Incremental Learning, (AAAI), 2024.
  10. Chenghao Zhang, Tian Kun, Bolin Ni, Shiming Xiang, Gaofeng Meng*. Active Disparity Sampling for Stereo Matching with Adjoint Network, IEEE Transactions on Image Processing(IEEE T-IP), 2024.
  11. Xing Nie, Bolin Ni, Jianlong Chang, Gaofeng Meng, Chunlei Huo, Shiming Xiang, Qi Tian. Pro-tuning: Unified Prompt Tuning for Vision Tasks, IEEE Transactions on Circuits and Systems for Video Technology (IEEE T-CSVT), 2023.
  12. Qizhao Jin, Xinbang Zhang, Xinyu Xiao, Ying Wang, Gaofeng Meng, Shiming Xiang, Chunhong Pan. SpatioTemporal Inference Network for Precipitation Nowcasting With Multi-Modal Fusion, Journal of Selected Topics in Applied Earth Observations and Remote Sensing(JSTARS), 2023.
  13. Wanqing Jiang, Gaofeng Meng, Tianzi Jiang, Nianming Zuo. Generalization Across Subjects and Sessions for EEG-Based Emotion Recognition Using Multi-Source Attention-Based Dynamic Residual Transfer, International Joint Conference on Neural Networks (IJCNN), 2023.
  14. Jiaxin Deng, Dong Shen, Haojie Pan, Xiangyu Wu, Ximan Liu, Gaofeng Meng*, Fan Yang, Tingting Gao, Ruiji Fu, Zhongyuan Wang. A Unified Model for Video Understanding and Knowledge Embedding with Heterogeneous Knowledge Graph Dataset, (ICMR), 2023.
  15. Xing Nie, Shixiong Xu, Xiyan Liu, Gaofeng Meng, Chunlei Huo, Shiming Xiang. Bilateral Memory Consolidation for Continual Learning, CVPR, 2023.
  16. Shengchao Zhou, Gaofeng Meng*, Zhaoxiang Zhang, Richard Yi Da Xu, Shiming Xiang, Robust Feature Rectification of Pretrained Vision Models for Object Recognition, AAAI, 2023.
  17. Sen Pei, Jiaxi Sun, Richard Yi Da Xu, Shiming Xiang, Gaofeng Meng*, Domain Decorrelation with Potential Energy Ranking, AAAI, 2023.
  18. Xinyu Xiao, Qizhao Jin, Gaofeng Meng, Shiming Xiang, Chunhong Pan, Spatiotemporal Contextual Consistency Network for Precipitation Nowcasting, ICDM, 2022.
  19. Chenghao Zhang, Kun Tian, Bolin Ni, Bin Fan, Zhaoxiang Zhang, Gaofeng Meng*, Chunhong Pan, Stereo Depth Estimation with Echoes, ECCV, 2022.
  20. Bolin Ni, Houwen Peng, Minghao Chen, Songyang Zhang, Gaofeng Meng*, Jianlong Fu, Shiming Xiang, Haibin Ling. Expanding Language-Image Pretrained Models for General Video Recognition, ECCV, 2022. (Oral)
  21. Sen Pei, Xin Zhang, Bin Fan, Gaofeng Meng*, Out-of-distribution Detection with Boundary Aware Learning, ECCV, 2022.
  22. Chenghao Zhang, Kun Tian, Bin Fan, Gaofeng Meng* , Zhaoxiang Zhang, Chunhong Pan, Continual Stereo Matching of Continuous Driving Scenes with Growing Architecture, CVPR, 2022. (Oral)
  23. Shuo Li, Xiyan Liu, Gaofeng Meng*, Shiming Xiang, Chunhong Pan, Components Regulated Generation of Handwritten Chinese Text-lines in Arbitrary Length, ICPR, 2022.
  24. Chenghao Zhang, Gaofeng Meng*, Bing Su, Shiming Xiang, Chunhong Pan, Monocular Contextual Constraint for Stereo Matching with Adaptive Weights Assignment, Image and Vision Computing, 2022.
  25. Xing Nie, Yongcheng Liu, Shaohong Chen, Jianlong Chang, Chunlei Huo, Gaofeng Meng, Qi Tian, Weiming Hu, Chunhong Pan, Differentiable Convolution Search for Point Cloud Processing, ICCV, 2021.
  26. Hao He, Xiangtai Li, Guangliang Cheng, Jianping Shi, Yunhai Tong, Véronique Prinet, Gaofeng Meng, Lubin Weng, Enhanced Boundary Learning for Glass-like Object Segmentation, ICCV, 2021.
  27. Chenghao Zhang, Gaofeng Meng*, Richard Yida Xu, Shiming Xiang, Chunhong Pan, Learning Adversarial Point-wise Domain Alignment for Stereo Matching, Neurocomputing, 2021.
  28. Chi Zhang, Zihang Lin, Liheng Xu, Zongliang Li, Wei Tang, Yuehu Liu, Gaofeng Meng, Le Wang, Li Li, Density-aware Haze Image Synthesis by Self-Supervised Content-Style Disentanglement, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2021.
  29. Nuo Xu, Chunlei Huo, Xin Zhang, Yong Cao, Gaofeng Meng, Chunhong Pan, Dynamic Camera Configuration Learning for High-Confidence Active Object Detection, Neurocomputing, 2021.
  30. Xiyan Liu, Gaofeng Meng*, Shiming Xiang, Chunhong Pan, Handwritten Text Generation via Disentangled Representations, IEEE Signal Processing Letters, 2021.
  31. Xiyan Liu, Gaofeng Meng*, Jianlong Chang, Ruiguang Hu, Shiming Xiang, Chunhong Pan, Decoupled Representation Learning for Character Glyph Synthesis, IEEE Transactions on Multimedia (TMM), 2021.
  32. Jiamin Fang, Yukang Chen, Xinbang Zhang, Qian Zhang, Chang Huang, Gaofeng Meng, Wenyu Liu, Xingang Wang, EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search, SCIENCE CHINA: Information Sciences, 2020.
  33. Xinbang Zhang, Jianlong Chang, Yiwen Guo, Gaofeng Meng, Zhouchen Lin, Shiming Xiang, Chunhong Pan, DATA: Differentiable ArchiTecture Approximation with Distribution Guided Sampling, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2020.
  34. Gaofeng Meng, Chunhong Pan, Shiming Xiang, Ying Wu.Baselines Extraction from Curved Document Images via Slope Fields Recovery,IEEE Transactions on Pattern Analysis and Machine Intelligence(T-PAMI), 2020.
  35. Xiyan Liu,Gaofeng Meng*, Bin Fan, Shiming Xiang, Chunhong Pan,Geometric Rectification of Document Images using Adversarial Gated Unwarping Network,Pattern Recognition(PR), 2020.
  36. Qi Zhang, Jianlong Chang,Gaofeng Meng, Shiming Xiang, Chunhong Pan,Spatio-Temporal Graph Structure Learning for Traffic Forecasting,Thirty-Fourth AAAI Conference on Artificial Intelligence(AAAI), 2019. (Oral)
  37. Yukang Chen, Tong Yang, Xiangyu Zhang,Gaofeng Meng, Xinyu Xiao, Jian Sun,DetNAS: Backbone Search for Object Detection,Neural Information Processing Systems(NeurIPS), 2019.
  38. Jianlong Chang, Xinbang Zhang, Yiwen Guo,Gaofeng Meng, Shiming Xiang, Chunhong Pan,DATA: Differentiable ArchiTecture Approximation,Neural Information Processing Systems(NeurIPS), 2019.
  39. Wenqi Ren, Jingang Zhang, Xiangyu Xu, Lin Ma, Xiaochun Cao,Gaofeng Meng, Wei Liu,Deep Video Dehazing With Semantic Segmentation,ICIP, 2019.
  40. Yongcheng Liu, Bin Fan,Gaofeng Meng, Jiwen Lu, Shiming Xiang, Chunhong Pan,DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing,ICCV, 2019.
  41. Qi Zhang, Jianlong Chang,Gaofeng Meng*, Shibiao Xu, Shiming Xiang, Chunhong Pan,Learning Graph Structure via Graph Convolutional Networks,Pattern Recognition(PR), 2019.
  42. Shen Fang, Shiming Xiang,Gaofeng Meng, Chunhong Pan,GSTNet: Global Spatial-Temporal Network for Traffic Flow Prediction,International Joint Conference on Artificial Intelligence(IJCAI), August 10-16, 2019, Macao, China.
  43. Jianlong Chang, Lingfeng Wang,Gaofeng Meng*, Shiming Xiang, Chunhong Pan.Local-Aggregation Graph Networks,IEEE Transactions on Pattern Analysis and Machine Intelligence(T-PAMI), 2019.
  44. Xiyan Liu,Gaofeng Meng*, Chunhong Pan.Recent Advances on Scene Text Detection and Recognition: A Survey,International Journal on Document Analysis and Recognition(IJDAR), 2019.
  45. Yukang Chen,Gaofeng Meng, Qian Zhang, Shiming Xiang, Chang Huang, Lisen Mu, Xinggang Wang.RENAS: Reinforced Evolutionary Neural Architecture Search,IEEE Conference on Computer Vision and Pattern Recognition(CVPR), June, Long Beach, USA, 2019.
  46. Jie Gu,Gaofeng Meng*, Shiming Xiang, Chunhong Pan.Blind Image Quality Assessment via Learnable Attention-based Pooling,Pattern Recognition(PR), 2019.
  47. Jianlong Chang,Gaofeng Meng, Lingfeng Wang, Shiming Xiang, Chunhong Pan.Deep Self-Evolution Clustering,IEEE Transactions on Pattern Analysis and Machine Intelligence(T-PAMI), 2019.
  48. Hongfei Xiao,Gaofeng Meng, Lingfeng Wang, Chunhong Pan.Fiducial Lines Constrained Facade Repetition Segmentation via Distribution Distance Maximization,IET Computer Vision, 2019.
  49. Wenqi Ren, Xiaochun Cao, Lin Ma, Hua Zhang,Gaofeng Meng*,Wei Liu,Deep Video Dehazing with Semantic Segmentation,IEEE TRANSACTIONS ON IMAGE PROCESSING(T-IP), 2019.*16.
  50. Cheng Da,Gaofeng Meng, Shiming Xiang, Kun Ding, Shibiao Xu, Qing Yang, Chunhong Pan.Nonlinear Asymmetric Multi-Valued Hashing,IEEE Transactions on Pattern Analysis and Machine Intelligence(T-PAMI), 2019.
  51. Jianlong Chang, Jie Gu, Lingfeng Wang,Gaofeng Meng, Shiming Xiang, Chunhong Pan,Structure-Aware Convolutional Neural Networks,Neural Information Processing Systems(NeurIPS), 2018.
  52. Jie Gu,Gaofeng Meng,Cheng Da, Shiming Xiang, Chunhong Pan.No-reference Image Quality Assessment with Reinforcement Recursive List-wise Ranking, AAAI, 2018.
  53. Gaofeng Meng, Yuanqi Su, Ying Wu, Shiming Xiang, Chunhong Pan.Exploiting Vector Fields for Geometric Rectcation of Distorted Document Images,EuropeanConference on Computer Vision(ECCV), September 8-14, Munich, Germany, 2018.
  54. Xiyang Liu,Gaofeng Meng, Chunhong Pan,Semantic Image Synthesis via Conditional Cycle-Generative Adversarial Networks, ICPR, 2018.
  55. Jianlong Chang, Lingfeng Wang,Gaofeng Meng*, Shiming Xiang, Chunhong Pan.Deep Unsupervised Learning with Consistent Inference of Latent Representations,Pattern Recognition(PR), vol.77, no.5, pp.438-453, 2018.
  56. Jie Gu,Gaofeng Meng, Judith A. Redi,Shiming Xiang, Chunhong Pan.Blind Image Quality Assessment via Vector Regression and Object Oriented Pooling,IEEE Transactions on Multimedia(TMM), vol. 20, no.5, pp. 1140-1153 , 2018.
  57. Hongfei Xiao,Gaofeng Meng, Lingfeng Wang, Chunhong Pan,Facade repetition detection in a fronto-parallel view with fiducial lines extraction,Neurocomputing, vol.273, pp. 435-447, 2018.
  58. Jianlong Chang, Lingfeng Wang,Gaofeng Meng, Shiming Xiang, Chunhong Pan,Vision-Based Occlusion Handling and Vehicle Classification for Traffic Surveillance Systems,IEEE Intelligent Transportation Systems Magazine, vol.10, no.2, pp.80-92, 2018.
  59. Jianlong Chang, Lingfeng Wang,Gaofeng Meng, Shiming Xiang, Chunhong Pan,Deep Adaptive Image Clustering,ICCV,pp. 5879-5887, 2017. (Oral)
  60. Gaofeng Meng, Kun Yuan, Ying Wu, Shiming Xiang, Chunhong Pan,Deep Networks for Degraded Document Image Binarization through Pyramid Reconstruction,International Conference on Document Analysis and Recognition(ICDAR), 2017.
  61. Kun Yuan,Gaofeng Meng, Dongcai Cheng, Jun Bai, Shiming Xiang, Chunhong Pan,Efficient Cloud Detection in Remote Sensing Images Using Edge-aware Segmentation Network and Easy-to-hard Training Strategy, ICIP, 2017. (Oral)
  62. Jun Chu, Xu Xiao,Gaofeng Meng, Lingfeng Wang, Chunhong Pan,Learnable Contextual Regularization for Semantic Segmentation of Indoor Scene Images, ICIP, 2017. (Oral)
  63. Zehao Huang, Lingfeng Wang,Gaofeng Meng, Chunhong Pan,Image Super-resolution via Deep Dilated Convolutional Networks, ICIP, 2017.
  64. Cheng Da, Shibiao Xu, Kun Ding,Gaofeng Meng, Shiming Xiang, Chunhong Pan,AMVH: Asymmetric Multi-Valued Hashing,IEEE Conference on Computer Vision and Pattern Recognition(CVPR), Honolulu, Hawaii, USA, July 22-25, 2017.
  65. Jie Gu,Gaofeng Meng, Shiming Xiang, Chunhong Pan,Learning Deep Vector Regression Model for No-reference Image Quality Assessment, ICASSP, March 5-9, New Orleans, USA, 2017.
  66. Gaofeng Meng, Shiming Xiang, Chunhong Pan, Nanning Zheng.Active Rectification of Curved Document Images Using Structured Beams.International Journal of Computer Vision (IJCV), Vol. 122, Issue1, pp 34–60, 2017.
  67. Dongcai Cheng,Gaofeng Meng, Chunhong Pan,Edge-Awared Deep Convolutional Networks for Semantic Segmentation of Remote Sensing Harbor Images,IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017.
  68. Dongcai Cheng,Gaofeng Meng, Guangliang Cheng and Chunhong Pan,SeNet: Structured Edge Network for Sea-Land Segmentation.Geoscience and Remote Sensing Letters, Vol.14, No.2, pp. 247–251, 2017.
  69. Dongcai Cheng,Gaofeng Meng, Chunhong Pan,Sea-Land Segmentation via Hierarchical Region Merging and Edge Directed Graph Cut.The 23rd IEEE International Conference on Image Processing, Phoenix, Arizona, USA, September 25–28, pp.1274-1278, 2016.
  70. Dongcai Cheng,Gaofeng Meng, Shiming Xiang, Chunhong Pan,Efficient Sea-Land Segmentation Using Seeds Learning and Edge Directed Graph Cut.Neurocomputing, Vol. 207, pp.36-47, 2016.
  71. Shenquan Qu, Ying Wang,Gaofeng Meng, Chunhong Pan,Vehicle Detection in Satellite Images by Incorporating Objectness and Convolutional Neural Network,Journal of Industrial and Intelligent Information, Vol. 4, No. 2, pp. 158-162, 2016.
  72. Gaofeng Meng, Zuming Huang, Yonghong Song, Shiming Xiang, Chunhong Pan.Extraction of Virtual Baselines from Distorted Document Images Using Curvilinear Projection,International Conference on Computer Vision(ICCV), Santiago, Chile, pp.3925-3933, Dec., 2015.
  73. Shiming Xiang,Gaofeng Meng, Ying Wang, Chunhong Pan, Changshui Zhang.Image Deblurring with Coupled Dictionary Learning.International Journal of Computer Vision (IJCV), Vol.114, pp.248-271, 2015.
  74. Zuming Huang, Jie Gu,Gaofeng Meng, Chunhong Pan.Text Line Extraction of Curved Document Images Using Hybrid Metric. The 3rdAsian Conference on Pattern Recognition (ACPR), Kuala Lumpur, Malaysia, 3-6 November, 2015.
  75. Gaofeng Meng, Ying WANG, Shenquan Qu, Shiming Xiang, Chunhong Pan,Active Flattening of Curved Document Images via Two Structured Beams,IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, USA, June 17-19, 2014, pp. 3890-3897 (Oral, Acceptance Rate:5.78%)
  76. Jiangyong Duan,Gaofeng Meng, Shiming Xiang, Chunhong Pan,Multifocus Image Fusion via Focus Segmentation and Region Reconstruction,Neurocomputing, Vol.140, pp.193-209, 2014.
  77. Feiyun Zhu, Ying Wang, Bin Fan, Shiming Xiang,Gaofeng Mengand Chunhong Pan.Spectral Unmixing via Data-guided Sparsity.IEEE Transactions on Image Processing(T-IP), vol. 23, no. 12, pp. 5412-5427, 2014.
  78. Hongfei Xiao, Lingfeng Wang,Gaofeng Meng, Shiming Xiang, Chunhong Pan.Facade Labeling via Explicit Matrix Factorization,International Conference on Image and Signal Processing(ICISP), pp.468-476, 2014. (Selected Best Paper)
  79. Hongfei Xiao,Gaofeng Meng, Lingfeng Wang, Shiming Xiang, Chunhong Pan.Facade repetition extraction using block matrix based model.International Conference on Image Processing(ICIP), 2014.
  80. Gaofeng Meng, Ying Wang, Jiangyong Duan, Shiming Xiang, Chunhong Pan.Efficient Image Dehazing with Boundary Constraint and Contextual Regularization,International Conference on Computer Vision(ICCV), Sydney, Australia, pp.617-624, 3-6 Dec., 2013.
  81. Gaofeng Meng, Shiming Xiang, Nanning Zheng, Chunhong Pan.Non-parametric Illumination Correction for Scanned Document Images via Convex Hulls,IEEE Transactions on Pattern Analysis and Machine Intelligence(T-PAMI), Vol.35, No.7, pp. 1730-1743, 2013.
  82. Jiangyong Duan,Gaofeng Meng, Shiming Xiang, Chunhong Pan.Removing out-of-focus blur from similar image pairs.International Conference on Acoustics, Speech and Signal Processing(ICASSP), 1617-1621, 2013.
  83. Jiangyong Duan,Gaofeng Meng, Shiming Xiang, Chunhong Pan.Multi-scale Deblurring with Smooth Region Constraints,Asian Conference on Pattern Recognition(ACPR), 1-5, 2013.
  84. Jiangyong Duan,Gaofeng Meng, Shiming Xiang, Chunhong Pan.Multifocus Image Fusion via Region Reconstruction.Asian Conference on Pattern Recognition(ACPR), 1-5, 2013.
  85. Lingfeng Wang, Shiming Xiang,Gaofeng Meng, Huaiyu Wu, Chunhong Pan.Edge-directed Single Image Super-resolution via Adaptive Gradient Magnitude Self-interpolation,IEEE Transactions on Circuits and Systems for Video Technology(T-CSVT), vol.23, no.8, pp. 1289-1299, 2013.
  86. Ying Wang, Shiming Xiang, Chunhong Pan, Lingfeng Wang,Gaofeng Meng.Level set evolution with locally linear classification for image segmentation.Pattern Recognition(PR), vol.46, no.6, pp.1734-1746, 2013.
  87. Gaofeng Meng, Chunhong Pan, Shiming Xiang, Jiangyong Duan, Nanning Zheng.Metric Rectification of Curved Document Images,IEEE Transactions on Pattern Analysis and Machine Intelligence(T-PAMI), Vol.34, No.4, pp. 707-722, 2012.
  88. Shiming Xiang,Gaofeng Meng, Ying Wang, Chunhong Pan, and Changshui Zhang.Image deblurring with matrix regression and gradient evolution.Pattern Recognition(PR), Vol.45, No. 6, pp. 2164–2179, 2012.
  89. Shiming Xiang, Feiping Nie,Gaofeng Meng, Chunhong Pan, Changshui Zhang:Discriminative Least Squares Regression for Multiclass Classification and Feature Selection.IEEE Transactions on Neural Networks and Learning Systems(T-NNLS), Vol.23, No.11, pp. 1738-1754, 2012.
  90. Huxiang Gu, Ying Wang,Gaofeng Meng, Shiming Xiang, Chunhong Pan.Guided tone mapping.SIGGRAPH Posters,2012.
  91. Huxiang Gu, Ying Wang, Shiming Xiang,Gaofeng Meng, Chunhong Pan.Image Guided Tone Mapping with Locally Nonlinear Model,European Conference on Computer Vision(ECCV), Vol.4, pp. 786-799, 2012.
  92. Gaofeng Meng, Chunhong Pan, Nanning Zheng, Chen Sun.Skew Estimation of Document Images Using Bagging.IEEE Transactions on Image Processing(T-IP), Vol. 19, No. 7, pp. 1837-1846, 2010.
  93. Gaofeng Meng, Nanning Zheng, Shaoyi Du, Yonghong Song and Yuanlin Zhang.Shading Extraction and Correction for Scanned Book Images.IEEE Signal Processing Letters, Vol.15, pp. 849-852, 2008.
  94. Shaoyi Du, Nanning Zheng,Gaofeng Meng, and Zejian Yuan.Affine Registration of Point Sets Using ICP and ICA.IEEE Signal Processing Letters, Vol.15, pp. 689–692, 2008.
  95. Nanning Zheng, Qubo You,Gaofeng Meng, Jihua Zhu, Shaoyi Du, Jianyi Liu.50 Years of Image Processing and Pattern Recognition in China.IEEE Intelligent Systems, Vol.23, No.6, pp. 33–41, 2008.
  96. Jianyi Liu, Nanning Zheng, Lei Xiong, Gaofeng Meng, Shaoyi Du.Illumination transition image: Parameter-based illumination estimation and re-rendering.International Conference on Pattern Recognition(ICPR), pp.1-4, 2008.
  97. Gaofeng Meng, Nanning Zheng, Yonghong Song, Yuanlin Zhang.Document Images Retrieval Based on Multiple Features Combination.International Conference on Document Analysis and Recognition(ICDAR), Vol.1, pp. 143-147, 2007.
  98. Gaofeng Meng, Nanning Zheng, Yuanlin Zhang, Yonghong Song.Circular Noises Removal from Scanned Document Images.International Conference on Document Analysis and Recognition(ICDAR), Vol.1, pp. 183-187, 2007.

承担课题

  1. 国家自然科学基金面上项目,面向开放环境的神经网络结构生长及其应用, 51万元,2024.1-2027.12,课题负责人(62376267)
  2. 国家自然科学基金面上项目,基于对抗机制的深度几何变换学习及其应用研究, 61万元,2020.1-2023.12,课题负责人(61976208)
  3. 国家自然科学基金青年-面上连续项目,基于相机的低质量文本图像的复原与增强关键技术研究,78万,2014.1-2017.12,课题负责人(61370039)
  4. 北京市自然科学基金面上项目,面向智能移动平台的文字图像高质量增强与复原关键技术研究,18万,2016.1-2017.12,课题负责人(结题优秀)(4162064)
  5. 国家自然科学青年基金,文本图像非线性失真矫正中的若干关键技术研究, 20万,2011.1-2013.12,课题负责人(61005036)

申请专利

  1. 孟高峰, 潘春洪, 向世明, 高亮,一种直线段检测和提取方法,国家发明专利,ZL 201110103720.7(已授权)
  2. 孟高峰, 潘春洪, 向世明, 段江永,一种文本图像几何畸变的矫正方法,国家发明专利,ZL201110140399.X(已授权)
  3. 孟高峰, 向世明, 潘春洪,一种文档扫描图像的亮度补偿方法, 国家发明专利,ZL201310060548.0(已授权)
  4. 孟高峰, 潘春洪, 向世明, 王颖, 汪凌峰,基于结构激光线的文档图像畸变矫正方法,国家发明专利,ZL201510599577.3 (已授权)
  5. 孟高峰, 潘春洪, 向世明,基于曲线投影的畸变文本图像基线估计方法,国家发明专利,ZL201510695611.7 (已授权)

教学情况

  • ​2022秋季: 博士生课程-《模式识别与机器学习》,中国科学院自动化所
  • 2022春季:研究生课程-《机器学习》,中国科学院大学(怀柔校区)
  • 2021秋季: 博士生课程-《模式识别与机器学习》,中国科学院自动化所
  • 2021春季:研究生课程-《机器学习》,中国科学院大学(怀柔校区)
  • 2020秋季: 博士生课程-《模式识别与机器学习》,中国科学院自动化所
  • 2020春季: 研究生课程-《机器学习导论》,中国科学院大学(怀柔校区)
  • 2019秋季: 博士生课程-《模式识别与机器学习》,中国科学院自动化所
  • 2019春季: 研究生课程-《机器学习导论》,中国科学院大学(怀柔校区)
  • 2018春季: 研究生课程-《机器学习导论》,中国科学院大学(怀柔校区)

学生培养

在读学生(指导/共同指导)

  • Chenghao Zhang(张承灏, 2018-), 博士生
  • Bolin Ni(尼博琳,2019-), 博士生
  • Shixiong Xu(许世雄,2020-), 博士生
  • Sen Pei(裴森,2020-), 硕士生
  • Shuo Li(李硕,2020-), 硕士生
  • ShenChao Zhou(周圣超,2021-), 硕士生
  • Yu Xiong(熊宇,2021-),硕士生
  • Wei Zhou(周威,2021-),硕士生
  • Hongbo Zhao(赵宏博,2022-)直博生
  • Jiaxin Deng(邓家鑫,2022-)硕士生
  • Fan Xu(徐璠,2022-)硕士生

毕业学生(指导/共同指导)

  • Jinhao Yang(杨金浩,MS'22):Tencent(腾讯)
  • Yuhang Chen(陈宇航,MS'22):
  • Xiyan Liu(刘希岩,Ph.D'21):Baidu(百度)
  • Jianlong Chang(常建龙, Ph.D’20):Huawei (华为,“天才计划”)
  • Yukang Chen(陈玉康, MS’20):香港中文大学
  • Cheng Da(达铖, Ph.D’19): Alibaba.com(阿里巴巴)
  • Jie Gu(顾杰, Ph.D’19): Alibaba.com(阿里巴巴)
  • Kun Yuan(袁坤, MS’18): SenseTime (商汤科技)
  • Hongfei Xiao(肖鸿飞, Ph.D’17): Didi(滴滴)
  • Dongcai Cheng(程栋材, Ph.D’17): Huawei (华为)
  • Shenquan Qu (瞿神全, MS’15): Alibaba.com(阿里巴巴)
  • Jiangyong Duan (段江永, Ph.D’14): 中国科学院空间应用工程与技术中心

实习生

  • Shengxing Liu (刘声兴,中国地质大学,2018.6-2019.9)
  • Qi Cao(曹琪,西安交通大学,2019.7-2019.8)
  • Hanwen Du(杜涵文(女),西安交通大学,2019.7-2019.8)
  • Jiawei Li (李嘉伟,中国地质大学,2018.6-2019.7)
  • Runcheng Sui (隋润程,西安交通大学, 2018.7-2018.8)
  • Weiming Bai (白炜铭,西安交通大学, 2018.7-2018.8)
  • Xu Xiao (肖旭(女),南昌航空大学,2016.3-2017.3)
  • Yan Xu (徐妍(女),西安交通大学,2016.7-2016.8)
  • Zheng Li (李征,西安交通大学,2016.7-2016.8)
  • Zuming Huang (黄祖明, 东南大学,2014.4-2014.6)