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李慧斌
  • 教授
  • 博士生导师
  • 硕士生导师
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  • 所在单位：数学与统计学院
  • 学历：博士研究生毕业
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  • 性别：男
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  • 学位：博士
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发表论文
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发表国际会议论文

  1. Huibin Li, Feng Liu. Image De-noising Via Sparse and Redundant Representation over Learned Dictionaries in Wavelet Domain. Proceedings of the Fifth International Conference on Image and Graphics, ICIG 2009, page: 754-758. 
  2. Huibin Li, Di Huang, Pierre Lemaire, Jean-Marie Morvan, Liming Chen. Expression Robust 3D Face Recognition via Mesh-based Histograms of Multiple Order Surface Differential Quantities. 18th IEEE International Conference on Image Processing, ICIP 2011, page: 3055-3056.
  3. Huibin Li, Jean-Marie Morvan, Liming Chen. 3D Facial Expression Recognition Based on Histograms of Surface Differential Quantities. 13th International Conference on Advances Concepts for Intelligent Vision Systems. ACIVS 2011, page: 483-494. Proceeding in Lecture Notes in Computer Science (LNCS), Springer.
  4. Huibin Li, Di Huang, Jean-Marie Morvan, Liming Chen. Learning Weighted Sparse Representation of Encoded Facial Normal Information for Expression-Robust 3D Face Recognition. International Joint Conference on Biometrics, IJCB 2011, page:1-7.
  5. Remco C. Veltkamp, Stefan van Jole, Hassen Drira, Boulbaba Ben Amor, Mohamed Daoudi, Huibin Li, Liming Chen, Peter Claes, Dirk Smeets, Jeroen Hermans, Dirk Vandermeulen, Paul Suetens. SHREC’11 Track: 3D Face Model Retrieval. Euro-graphics Workshop on 3D Object Retrieval, 3DOR 2011, page: 89-95. (Awarded the 1st performance in terms of Rank one recognition rate).
  6. Huibin Li, Di Huang, Jean-Marie Morvan, Liming Chen, Yunhong Wang, 3D Facial Expression Recognition via Multiple Kernel Learning of Multi-Scale Local Normal Patterns. 21th International Conference on Pattern Recognition, ICPR 2012, page:2577-2580.
  7. Huibin Li, Di Huang, Liming Chen, Yunhong Wang, Jean-Marie Morvan, A Group of Facial Normal Descriptors for Recognizing 3D Identical Twins. IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems, BTAS 2012, page: 271-277.
  8. Wei Zeng, Huibin Li, Jean-Marie Morvan, Liming Chen, David Gu Xianfeng, An Automatic 3D Expression Recognition Framework based on Sparse Representation of Conformal Images, 10th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2013, In Press.
  9. Xiaofang Wang, Huibin Li, C. E. Bichot, S. Masnou, L. Chen: A Graph-cut Approach to Image Segmentation using Affinity Graph based on L0 Sparse Representation of Features, IEEE International Conference on Image Processing, ICIP2013, In press.
  10. Xiaofang Wang, Huibin Li, C. E. Bichot, S. Masnou, L. Chen: Sparse Coding and Mid-level Super-pixel Feature for L0-Graph based Unsupervised Image Segmentation, 15st International Conference on Computer Analysis of Images and Patterns, CAIP2013, In press.
  11. Heran Yang, Jian Sun, Huibin Li, Lisheng Wang, Zongben Xu:Deep Fusion Net for Multi-atlas Segmentation: Application to Cardiac MR Images. MICCAI (2) 2016: 521-528.
  12. Yan Yang, Jian Sun, Huibin Li, Zongben Xu:Deep ADMM-Net for Compressive Sensing MRI. NIPS 2016: 10-18.
  13. Xiaofan Wei, Huibin Li, Xianfeng David Gu:Three Dimensional Face Recognition via Surface Harmonic Mapping and Deep Learning. CCBR 2017: 66-76.
  14. Weijian Li, Yunhong Wang, Huibin Li, Di Huang:Enhancing 3D Facial Expression Recognition by Exaggerating Geometry Characteristics. CCBR 2017: 191-200.
  15. Huibin Li, Jian Sun, Liming Chen:Location-sensitive sparse representation of deep normal patterns for expression-robust 3D face recognition. IJCB 2017: 234-242.
  16. Asim Jan, Huaxiong Ding, Hongying Meng, Liming Chen, Huibin Li:Accurate Facial Parts Localization and Deep Learning for 3D Facial Expression Recognition. FG 2018: 466-472.
  17. Xiaofan Wei, Huibin Li, Jian Sun, Liming Chen:Unsupervised Domain Adaptation with Regularized Optimal Transport for Multimodal 2D+3D Facial Expression Recognition. FG 2018: 31-37.
  18. Weijian Li, Di Huang, Huibin Li, Yunhong Wang:Automatic 4D Facial Expression Recognition Using Dynamic Geometrical Image Network. FG 2018: 24-30.
  19. Ruixuan Yu, Jian Sun, Huibin Li: Learning Spectral Transform Network on 3D Surface for Non-rigid Shape Analysis. ECCV Workshops (3) 2018: 377-394.
  20. Lingjiang Xie, Cuican Yu, Huibin Li, Jihua Zhu:ClusterFace: Clustering-Driven Deep Face Recognition. CCBR 2018: 377-386
  21. Zihui Zhang, Cuican Yu, Huibin Li, Jian Sun, Feng Liu: Learning Distribution Independent Latent Representation for 3D Face Disentanglement. 3DV 2020: 848-857.
  22. Zihui Zhang, Cuican Yu, Shuang Xu, Huibin Li: Learning Flexibly Distributional Representation for Low-quality 3D Face Recognition. AAAI 2021: 3465-3473.
  23. Jingbo Zhou，Ruiqi Zhang， Kunkun Hao，Huibin Li et al., Two-Stage Quality Assessment Method of Power Equipment X-Ray Image Based on Improved CenterNet, 2021 IEEE Far East NDT New Technology & Application Forum (FENDT), 2021, pp. 196-207. （优秀英文论文奖）
  24. Shiyun Mao, Ruolin Chen, Huibin Li. Learning Optimal Transport Mapping of Joint Distribution for Cross-scenario Face Anti-spoofing. CCBR 2022: 169-179.
  25. Cuican Yu, Guansong Lu, Yihan Zeng, Jian Sun, Xiaodan Liang, Huibin Li, Zongben Xu, Songcen Xu, Weizhang, Hang Xu. Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images, IEEE International Conference on Computer Vision (ICCV), 2023.

  26. Jingting Wang, Cuican Yu, Huibin Li: Multi-modal Feature Guided Detailed 3D Face Reconstruction from a Single Image. PRCV, 2023.

   27. Fengxun Sun, Cuican Yu, Huibin Li: Facial Adversarial Sample Augmentation for Robust Low-quality 3D Face Recognition. CCBR, 2023.

   

   28. Miaolin Han, Huibin Li: DocMamba: Robust Document Image Dewarping via Selective State Space Sequence Modeling. MMM, 2024.

 

   29. Xintong Han, Huibin Li: TTT-MOT: A Test-Time Training and Adaptive Iterative Scale-Up ExpansionIoU for Multiple Object Tracking in     

       Sports, submitted to PRCV 2025.

 

  30.  Xinyi Li, Huibin Li: Single Image Reflection Separation Via Visual State Space Model and Multi-scale Feature Interactions, submitted to

        PRCV 2025.

 

发表国际期刊论文

  1. Huibin Li, Feng Liu. A Hybrid Image De-nosing Method Based on Wavelet Transform and Sparse and Redundant Representations Model. Journal of Image and Graphics, 2012, 17(9):1061-1068.
  2. Huibin Li, Wei Zeng, Jean-Marie Morvan, Liming Chen, Xianfeng David Gu:Surface Meshing with Curvature Convergence. IEEE Trans. Vis. Comput. Graph. 20(6): 919-934 (2014).
  3. Huibin Li, Di Huang, Jean-Marie Morvan, Liming Chen, Yunhong Wang:Expression-robust 3D face recognition via weighted sparse representation of multi-scale and multi-component local normal patterns. Neurocomputing 133: 179-193 (2014).
  4. Huibin Li, Di Huang, Jean-Marie Morvan, Yunhong Wang, Liming Chen:Towards 3D Face Recognition in the Real: A Registration-Free Approach Using Fine-Grained Matching of 3D Keypoint Descriptors. Int. J. Comput. Vis. 113(2): 128-142 (2015).
  5. Huibin Li, Huaxiong Ding, Di Huang, Yunhong Wang, Xi Zhao, Jean-Marie Morvan, Liming Chen:An efficient multimodal 2D + 3D feature-based approach to automatic facial expression recognition. Comput. Vis. Image Underst. 140: 83-92 (2015).
  6. Xi Zhao, Jianhua Zou, Huibin Li, Emmanuel Dellandréa, Ioannis A. Kakadiaris, Liming Chen:Automatic 2.5-D Facial Landmarking and Emotion Annotation for Social Interaction Assistance. IEEE Trans.Cybern.46(9): 2042-2055 (2016).
  7. Feng Liu, Huibin Li:Joint sparsity and fidelity regularization for segmentation-driven CT image preprocessing. Sci. China Inf. Sci. 59(3): 32112:1-32112:7 (2016).
  8. Huibin Li, Jian Sun, Zongben Xu, Liming Chen:Multimodal 2D+3D Facial Expression Recognition With Deep Fusion Convolutional Neural Network. IEEE Trans. Multim. 19(12): 2816-2831 (2017).
  9. Yinhang Tang, Huibin Li, Xiang Sun, Jean-Marie Morvan, Liming Chen:Principal Curvature Measures Estimation and Application to 3D Face Recognition. J. Math. Imaging Vis. 59(2): 211-233 (2017).
  10. Heran Yang, Jian Sun, Huibin Li, Lisheng Wang, Zongben Xu:Neural multi-atlas label fusion: Application to cardiac MR images. Medical Image Anal. 49: 60-75 (2018).
  11. Huibin Li, Yibao Li, Ruixuan Yu, Jian Sun, Junseok Kim:Surface reconstruction from unorganized points
    with l0 gradient minimization. Comput. Vis. Image Underst. 169: 108-118 (2018).
  12. Ruixuan Yu, Jian Sun, Huibin Li:Second-Order Spectral Transform Block for 3D Shape Classification and Retrieval. IEEE Trans. Image Process. 29: 4530-4543 (2020).
  13. Shiqi Liu, Jingxin Liu, Qian Zhao, Xiangyong Cao, Huibin Li, Deyu Meng, Hongying Meng, Sheng Liu:Discovering influential factors in variational autoencoders. Pattern Recognit. 100: 107166 (2020).
  14. Yan Yang, Jian Sun, Huibin Li, Zongben Xu: ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing. IEEE Trans. Pattern Anal. Mach. Intell. 42(3): 521-538 (2020). (入选2022年ESI高被引论文).
  15. Cuican Yu, Zihui Zhang, Huibin Li, Jian Sun, Zongben Xu:A distribution independence based method for 3D face shape decomposition. Comput. Vis. Image Underst. 210: 103244 (2021).
  16. Chenyang Yin, Henghui Zhi, Huibin Li. Dense Feature Learning and Compact Cost Aggregation for Deep Stereo Matching. IEEE Access 10: 100999-101010 (2022).
  17. Henghui Zhi, Chenyang Yin, Huibin Li, Shanmin Pang: An Unsupervised Monocular Visual Odometry Based on Multi-Scale Modeling. Sensors 22(14): 5193 (2022).
  18. Cuican Yu, Zihui Zhang, Huibin Li, Jian Sun, Zongben Xu：Meta-learning-based Adversarial Training for Deep 3D Face Recognition on Point Clouds. Pattern Recognit. 134: 109065 ().
  19. Gang Li, Ping He, Fan Zhang, Huibin Li: Adversarial Composite Prediction of Normal Video Dynamics for Anomaly Detection, Comput. Vis. Image Underst., 232:103686 (2023). 
  20. Di Can，Huibin Li， Mengzi Nie, Misspelling-type Guided Multimodal Information Fusion Network For Chinese, Spelling Correction, Neural Computation, 2023, Under review 
  21. Ping He, Fan Zhang, Huibin Li: Inter-video Data Imbalance Problem for Weakly-supervised Anomaly Detection: An Adversarial and Focused Training based Solution. Pattern Recognit. 147: 110119 (2024)
  22. Fudong Xu, Lin Wang, Huibin Li, A Unified and Efficient Semi-supervised Learning Framework for Stereo Matching,  Pattern Recognit. 147: 110128 (2024).
  23. Shiyun Mao, Ruolin Chen, Huibin Li, Weighted Joint Distribution Optimal Transport based Domain Adaptation for Face Anti-Spoofing, International Journal of Computer Vision, 2024, Accepted.
  24. Cuican Yu, Fengxun Sun, Zihui Zhang, Huibin Li, Zongben Xu, Liming Chen, Adaptive Representation Learning and Sample Weighting for Low-Quality 3D Face Recognition, Pattern Recognit., 2024,  Accepted.
  25. Fudong Xu, Lin Wang, Huibin Li, Zhipeng Zhu, Fan Jia, Global Context Volume Construction and Semantics-guided Disparity Refinement for Stereo Matching, Neurocomputing, 2024, Accepted.
  26. Shoucheng Yan, Yang Chen, Wenfei Cao, Huibin Li, Enhancing U-Net with Low-Rank Attention Skip Block for 3D Point Cloud Segmentation, Submitted to Neurocomputing, Accepted.
  27. Shiyun Mao, Ruolin Chen, Huibin Li, Distributional Robustness Learning for Generalized Face Anti-spoofing, Submitted to International Journal of Computer Vision, Under review.
  28. Qiwen Shi, Zhizhong Xi, Huibin Li, Nighttime Visible and Infrared Image Fusion Based on Adversarial Learning, Submitted to Infrared Physics and Technology, Accepted.
  29. Ping He, Huibin Li, A Self-Paced Multiple Instance Learning Framework for Video Anomaly Detection,  Applied sciences, Accepted.
  30. Shiyun Mao, Huibin Li, Hyperbolic Metric Learning for Generalizable Face Anti-spoofing, Submitted to IEEE Transactions on Information Forensics & Security, Accepted.

 

发表国内期刊论文

  1. 黄义妨, 魏丹丹, 武淼, 李慧斌, 郭勐: 面向不同传感器与复杂场景的人脸识别系统防伪方法综述. 计算机工程, 47(12): 1-18 (2021).
  2. 余璀璨, 李慧斌: 基于深度学习的人脸识别方法综述. 工程数学学报, 38(04): 451-469 (2021).
  3. 何平, 李刚, 李慧斌: 基于深度学习的视频异常检测方法综述，计算机工程与科学, 44(09):1620-1629 (2022).
  4. 职恒辉, 尹晨阳, 李慧斌：基于深度学习的视觉里程计方法综述，计算机工程与应用, 58(20):1-15 (2022).
  5. 尹晨阳, 职恒辉, 李慧斌: 基于深度学习的双目立体匹配方法综述，计算机工程, 48(10):1-12 (2022).
  6. 陈艺丹，马可，李慧斌：基于全局上下文注意力的风机叶片缺陷检测，计算机与数字工程，录用，2022.
  7. 王静婷，李慧斌，单张图像三维人脸重建方法综述[J], 计算机工程与应用，2022，录用。
  8. 杨政，尹春林，蔡迪，李慧斌: 一种基于成词率和谱聚类的电力文本领域词发现方法[J].电子技术应用,47(10): 29-32(2021).
  9. 杨政，蔡迪，李慧斌: 基于层次化表示的电力文本命名实体识别和匹配算法[J].计算机与现代化,(5): 76-81(2022).
  10. 周静波，郝坤坤，刘荣海，李慧斌. 基于域泛化的非均衡电力设备分/合闸X射线图像识别[J].计算机应用, 2021,第41卷(202): 286-293
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