I am an associate professor in the School of Software Engineering, Xi’an Jiaotong University. I received Ph.D. degree in Control science and Engineering from Xi’an Jiaotong University in 2017 under the supervision of Prof. Fei Wang and Prof. Jingmin Xin. I was a visiting student at UMBC in 2013 supervised by Prof. James TH Lo. I have broad research interests in 6D pose estimation, neural redering, machine learning and robotics.
👩🎓🧑🎓 Recruiting: I am looking for highly motivated master students, PhD students to join our lab. I am also hiring research assistants (RA) and engineers. If you are an undergraduate student at Xi’an Jiaotong University and are interested in working with me, feel free to reach out.
🔥News
- 2023.03: 🎉🎉 3 papers accepted to CVPR 2023.
- 2022.10: 🎉🎉 1 paper accepted to Neurcomputing.
- 2022.07: 🎉🎉 1 paper accepted to ECCV 2022.
- 2022.06: 🎉🎉 1 paper accepted to ICIP 2022.
- 2022.05: 🎉🎉 2 papers accepted to ICPR 2022.
- 2022.03: 🎉🎉 1 paper accepted to Remote Sensing Letters.
Conference papers
UV Volumes for Real-time Rendering of Editable Free-view Human Performance, The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023.
Yue Chen, Xuan Wang, Xingyu Chen, Qi Zhang, Xiaoyu Li, Yu Guo, Jue Wang, 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.
Yue Chen, Xingyu Chen, Xuan Wang, Qi Zhang, 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.
Wenxuan Zhang, Xiaodong Cun, Xuan Wang, Yong Zhang, Xi Shen, Yu Guo, Ying Shan, Fei Wang
Learning-based Point Cloud Registration for 6D Object Pose Estimation in the Real World, European Conference on Computer Vision (ECCV) 2022.
Zheng Dang, Lizhou Wang, Yu Guo, Salzmann Mathieu
Frequency-aware Deep Dual-path Feature Enhancement Network for Image Dehazing, International Conference on Pattern Recognition (ICPR) 2022.
Ruyu Li, Hang Dong, Li Wang, Boyang Liang, Yu Guo, Fei Wang,
Dynamic Hypergraph Regularized Broad Learning System for Image Classification, International Conference on Image and Graphics (ICIG) 2021.
Xiaoxiao Yang, Yu Guo, Yinuo Wang, Peilin Jiang, and Fei Wang
Photometric Stereo Based on Multiple Kernel Learning, International Conference on Image and Graphics (ICIG) 2021.
Yinuo Wang, Yu Guo, Xiaoxiao Yang, Xuetao. Zhang, and Fei Wang
Deep Multi-Scale Gabor Wavelet Network for Image Restoration, International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020.
Hang Dong, Xinyi Zhang, Yu Guo and Fei Wang
Recursive Maximum Correntropy Criterion Based Randomized Recurrent Broad Learning System, International Conference on Neural Information Processing(ICONIP), 2020
Yinuo Wang, Yu Guo, Xiaoxiao Yang, Xuetao. Zhang, and Fei Wang
Gated Contiguous Memory U-Net for Single Image Dehazing, International Conference on Neural Information Processing (ICONIP) 2019.
Lei Xiang, Hang Dong, Fei Wang, Yu Guo, Kaisheng Ma
Generalized Maximum Correntropy-Based Echo State Network for Robust Nonlinear System Identification, International Joint Conference on Neural Networks (IJCNN), 2018.
Changhao Zhang, Yu Guo, Fei Wang, Badong Chen
A Lightweight Discriminative Tracker Based on Classification and Similarity, International Conference on Digital Image Computing:Techniques and Applications(DICTA), 2017.
Weinong Wang, Fei Wang, Yu Guo
A neural filter-based scheme for synchronizing chaotic systems, International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017.
Yu Guo, Fei Wang, James Ting-Ho Lo
Nonlinear system identification based on recurrent neural networks with shared and specialized memories, Asian Control Conference (ASCC), 2017.
Yu Guo, Fei Wang, James Ting-Ho Lo
📝Publications:
Equal contribution$^\star$ Corresponding author$^\dagger$
Journal papers
Adaptive Weighted Robust Iterative Closest Point, Neurocomputing, 2022.
Yu Guo, Luting Zhao, Yan Shi, Xuetao Zhang$^\dagger$, Shaoyi Du, Fei Wang
Self-paced collaborative representation with manifold weighting for hyperspectral anomaly detection, Remote Sensing Letters, 2022.
Yantao Ji, Peilin Jiang, Yu Guo$^\dagger$, Ruiteng Zhang and Fei Wang
Monocular 3D multi-person pose estimation via predicting factorized correction factors, CVIU, 2021.
Yu Guo$^\dagger$, Lichen Ma, Zhi Li, Xuan Wang, and Fei Wang
Online robust echo state broad learning system, Neurocomputing, 2021.
Yu Guo$^\dagger$, Xiaoxiao Yang, Yinuo Wang, Fei Wang, and Badong Chen
Chaotic synchronization based on neural filter, Journal of the Franklin Institute, 2018.
Yu Guo$^\dagger$, Fei Wang, James Ting-Ho Lo
Point-wise saliency detection on 3D point clouds via covariance descriptors, The Visual Computer, 2017.
Yu Guo$^\dagger$, Fei Wang, Jingmin Xin
Robust echo state networks based on correntropy induced loss function, Neurocomputing, 2017.
Yu Guo$^\dagger$, Fei Wang, Badong Chen, Jingmin Xin
PrePrint
A Method to Generate High Precision Mesh Model and RGB-D Dataset for 6D Pose Estimation Task, Axiv, 2020.
Minglei Lu, Yu Guo, Fei Wang, Zheng Dang
🧑💻Collaborators
- Xuan Wang - Research scientist in Interatcion Intelligence Lab, Ant Research.
- Zheng Dang - Scientific Researcher in EPFL
- Zheng Wang - Assistant Professor in Xi’an Jiaotong University