Conference Papers

  1. Yue Chen, Xuan Wang, Xingyu Chen, Qi Zhang, Xiaoyu Li, Yu Guo, Jue Wang, Fei Wang, "UV Volumes for Real-time Rendering of Editable Free-view Human Performance," The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023.

  2. Yue Chen, Xingyu Chen, Xuan Wang, Qi Zhang, Yu Guo, Ying Shan, Fei Wang, "L2G-NeRF: Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields," The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023.

  3. Wenxuan Zhang, Xiaodong Cun, Xuan Wang, Yong Zhang, Xi Shen, Yu Guo, Ying Shan, Fei Wang, "SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation," The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023.

  4. Zheng Dang, Lizhou Wang, Yu Guo, Salzmann Mathieu, "Learning-based Point Cloud Registration for 6D Object Pose Estimation in the Real World," European Conference on Computer Vision (ECCV2022), Tel-Aviv, Israel, October 23-27, 2022. 

  5. Ruyu Li, Hang Dong, Li Wang, Boyang Liang, Yu Guo, Fei Wang, "Frequency-aware Deep Dual-path Feature Enhancement Network for Image Dehazing," International Conference on Pattern Recognition (ICPR2022), Montréal Québec, August 21-25, 2022. 

  6. Xiaoxiao Yang, Yu Guo, Yinuo Wang, Peilin Jiang, and Fei Wang, "Dynamic Hypergraph Regularized Broad Learning System for Image Classification," in Lecture Notes in Computer Science, vol. 12888 LNCS, 2021, pp. 491-501. (EI)

  7. Yinuo Wang, Yu Guo, Xiaoxiao. Yang, Xuetao. Zhang, and Fei. Wang, "Photometric Stereo Based on Multiple Kernel Learning," in Lecture Notes in Computer Science, vol. 12890 LNCS, 2021, pp. 523-532. (EI)

  8. Hang Dong, Xinyi Zhang, Yu Guo and Fei Wang, "Deep Multi-Scale Gabor Wavelet Network for Image Restoration," in Proc. 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, pp. 2028-2032. (EI)

  9. Yinuo Wang, Yu Guo, Fei Wang, “Recursive Maximum Correntropy Criterion Based Randomized Recurrent Broad Learning System”, in Proc. 2020 International Conference on Neural Information Processing, 2020, pp. 804-812. (EI)
  10. Lei Xiang, Hang Dong, Fei Wang, Yu Guo, Kaisheng Ma, “Gated Contiguous Memory U-Net for Single Image Dehazing”, in Proc. 2019 International Conference on Neural Information Processing, 2019, pp. 117-127. (EI)
  11. Xinyi Zhang, Fei Wang, Hang Dong, Yu Guo, “A Deep Encoder-Decoder Networks for Joint Deblurring and Super-Resolution”, in Proc. 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, pp. 1448-1452. (EI)
  12. Changhao Zhang, Yu Guo, Fei Wang, Badong Chen, “Generalized Maximum Correntropy-Based Echo State Network for Robust Nonlinear System Identification”, in Proc. 2018 International Joint Conference on Neural Networks (IJCNN), 2018, pp. 1-6. (EI)
  13. Weinong Wang, Fei Wang, Yu Guo, “A Lightweight Discriminative Tracker Based on Classification and Similarity”, in Proc. 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2017, pp. 1-8. (EI)
  14. Yu Guo, Fei Wang, James Ting-Ho Lo, “Nonlinear system identification based on recurrent neural networks with shared and specialized memories”, in Proc. 2017 11th Asian Control Conference (ASCC), 2017, pp. 2054-2059. (EI)
  15. Yu Guo, Fei Wang, James Ting-Ho Lo, “A neural filter-based scheme for synchronizing chaotic systems”, in Proc. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing, 2017, pp. 4666-4670. (EI)
  16. Feng Yan, Fei Wang, Yu Guo, Peilin Jiang, “Saliency-Guided Smoothing for 3D Point Clouds”, in Proc. International Conference on Intelligent Computing, 2017, pp. 165-174. (EI)
  17. James Ting-Ho Lo, Yu Guo, “Accommodative neural filters”, in Proc. 2016 International Joint Conference on Neural Networks (IJCNN), 2016, pp. 2344-2351. (EI)
  18.  Yu Guo, Fei Wang, Pengyu Liu, Jingmin Xin, Nanning Zheng, “Multi-scale Point Set Saliency Detection Based on Site Entropy Rate”, in Proc. Pacific Rim Conference on Multimedia, 2016, pp. 366-375. (EI)
  19. Xuan Wang, Fei Wang, Yu Guo, “Piecewise Affine Sparse Representation via Edge Preserving Image Smoothing”,  in Proc. Pacific Rim Conference on Multimedia, 2016, pp. 569-576. (EI)
  20. Fei Wang, Caigui Jiang, Nanning Zheng, Yu Guo, “Camera Pose Estimation Based on Angle Constraints”, in Proc. International Symposium on Visual Computing, 2010, pp. 96-107. (EI)

Journal Papers

  1. Yu Guo, Luting Zhao, Yan Shi, Xuetao Zhang*, Shaoyi Du, Fei Wang, "Adaptive Weighted Robust Iterative Closest Point," Neurocomputing, vol. 508, pp. 225-241, 2022. (SCI). 

  2. Yantao Ji, Peilin Jiang, Yu Guo* , Ruiteng Zhang and Fei Wang, "Self-paced collaborative representation with manifold weighting for hyperspectral anomaly detection," Remote Sensing Letters, vol. 13, pp. 599-610, 2022. (SCI)

  3. Yu Guo*, Lichen Ma, Zhi Li, Xuan Wang, and Fei Wang, "Monocular 3D multi-person pose estimation via predicting factorized correction factors," Computer Vision and Image Understanding, vol. 213, 2021. (SCI)
  4. Yu Guo*, Xiaoxiao Yang, Yinuo Wang, Fei Wang, and Badong Chen, "Online robust echo state broad learning system," Neurocomputing, vol. 464, pp. 438-449, 2021. (SCI)
  5. Minglei Lu, Yu Guo*, Fei Wang, Zheng Dang, "A Method to Generate High Precision Mesh Model and RGB-D Dataset for 6D Pose Estimation Task", preprint, 2020.
  6. Yu Guo*, Fei Wang, James Ting-Ho Lo, “Chaotic synchronization based on neural filter,”Journal of the Franklin Institute, vol. 355, issue 4, pp. 1579-1595, 2018. (SCI)
  7. Yu Guo*, Fei Wang, Jingmin Xin, “Point-wise saliency detection on 3D point clouds via covariance descriptors,” The Visual Computer, vol. 34, pp. 1325–1338, 2017. (SCI)
  8. Yu Guo*, Fei Wang, Badong Chen, Jingmin Xin, “Robust echo state networks based on correntropy induced loss function,” Neurocomputing, vol. 267, pp. 295-303, 2017. (SCI)