Associate Researcher at Institute of Super Robotics(Huangpu), China
Ruotao Xu is a dedicated researcher specializing in robotics, computer vision, and image processing. As a Postdoctoral Researcher and Associate Researcher, he is at the forefront of exploring advanced techniques in deep learning and image analysis. 🚀
Education📚
Ruotao Xu earned his Ph.D. in Electrical Engineering, where he focused on image processing and robotics. His educational background provides a solid foundation for his research endeavors and contributions to the field. 🎓📚
Professional Experience🏛️
Currently serving as a Postdoctoral Researcher at the Institute of Robotics and Automatic Information Systems, Xu has led several significant research projects. His role includes managing projects funded by national and provincial science foundations and contributing to various high-impact publications. 🛠️📈
Research Interest🌐
Xu’s research interests lie in deep learning, image processing, defocus deblurring, image inpainting, and texture representation. He is particularly focused on developing innovative solutions and technologies in these areas to advance the field of computer vision. 🧠🔍
Awards and Honors🎓
- Principal Investigator for multiple high-profile projects funded by the National Natural Science Foundation of China. 🏆
- Contributor to leading journals such as IEEE Transactions on Image Processing and IEEE/CVF International Conference on Computer Vision. 🥇📜
Achievements🏅
- Principal Investigator for multiple high-profile projects funded by the National Natural Science Foundation of China. 🏆
- Lead Author on influential papers in top journals such as IEEE Transactions on Image Processing and IEEE/CVF International Conference on Computer Vision. 📜
- Innovator in Image Processing with a focus on deep learning, defocus deblurring, image inpainting, and texture representation. 🧠
- Received Grants from provincial and national science foundations for cutting-edge research projects. 💵
- Contributed to High-Impact Publications with significant citations, reflecting the impact of research on the field. 📚
- Collaborated with Leading Researchers and institutions, enhancing the reach and application of his research findings. 🤝
Publications top noted📜
- “Multi-view 3D shape recognition via correspondence-aware deep learning”
Authors: Y Xu, C Zheng, R Xu, Y Quan, H Ling
Journal: IEEE Transactions on Image Processing
Year: 2021
Citations: 40 📈
- “Structure-texture image decomposition using discriminative patch recurrence”
Authors: R Xu, Y Xu, Y Quan
Journal: IEEE Transactions on Image Processing
Year: 2020
Citations: 20 📈
- “Attention with structure regularization for action recognition”
Authors: Y Quan, Y Chen, R Xu, H Ji
Journal: Computer Vision and Image Understanding
Year: 2019
Citations: 19 📈
- “Removing reflection from a single image with ghosting effect”
Authors: Y Huang, Y Quan, Y Xu, R Xu, H Ji
Journal: IEEE Transactions on Computational Imaging
Year: 2019
Citations: 19 📈
- “Factorized tensor dictionary learning for visual tensor data completion”
Authors: R Xu, Y Xu, Y Quan
Journal: IEEE Transactions on Multimedia
Year: 2021
Citations: 17 📈
- “Image quality assessment using kernel sparse coding”
Authors: Z Zhou, J Li, Y Quan, R Xu
Journal: IEEE Transactions on Multimedia
Year: 2020
Citations: 13 📈
- “Cartoon-texture image decomposition using orientation characteristics in patch recurrence”
Authors: R Xu, Y Xu, Y Quan, H Ji
Journal: SIAM Journal on Imaging Sciences
Year: 2020
Citations: 10 📈
- “Deep scale-aware image smoothing”
Authors: J Li, K Qin, R Xu, H Ji
Conference: ICASSP 2022
Year: 2022
Citations: 7 📈
- “Enhancing texture representation with deep tracing pattern encoding”
Authors: Z Chen, Y Quan, R Xu, L Jin, Y Xu
Journal: Pattern Recognition
Year: 2024
Citations: 6 📈
- “No-reference image quality assessment using dynamic complex-valued neural model”
Authors: Z Zhou, Y Xu, R Xu, Y Quan
Conference: 30th ACM International Conference on Multimedia
Year: 2022
Citations: 4 📈
- “Deeply exploiting long-term view dependency for 3D shape recognition”
Authors: Y Xu, C Zheng, R Xu, Y Quan
Journal: IEEE Access
Year: 2019
Citations: 4 📈
- “Deep blind image quality assessment using dual-order statistics”
Authors: Z Zhou, Y Xu, Y Quan, R Xu
Conference: IEEE International Conference on Multimedia and Expo (ICME)
Year: 2022
Citations: 3 📈
- “Wavelet analysis model inspired convolutional neural networks for image denoising”
Authors: R Xu, Y Xu, X Yang, H Huang, Z Lei, Y Quan
Journal: Applied Mathematical Modelling
Year: 2024
Citations: 2 📈
