| Aligned spatial-temporal memory network for thermal infrared target tracking D Yuan, X Shu, Q Liu, Z He IEEE Transactions on Circuits and Systems II: Express Briefs 70 (3), 1224-1228, 2022 | 39 | 2022 |
| Adaptive segmentation model for liver CT images based on neural network and level set method X Shu, Y Yang, B Wu Neurocomputing 453, 438-452, 2021 | 38 | 2021 |
| TRBACF: Learning temporal regularized correlation filters for high performance online visual object tracking D Yuan, X Shu, Z He Journal of Visual Communication and Image Representation 72, 102882, 2020 | 35 | 2020 |
| Robust thermal infrared tracking via an adaptively multi-feature fusion model D Yuan, X Shu, Q Liu, X Zhang, Z He Neural Computing and Applications 35 (4), 3423-3434, 2023 | 31 | 2023 |
| Accurate bounding-box regression with distance-IoU loss for visual tracking D Yuan, X Shu, N Fan, X Chang, Q Liu, Z He Journal of Visual Communication and Image Representation 83, 103428, 2022 | 31 | 2022 |
| A neighbor level set framework minimized with the split Bregman method for medical image segmentation X Shu, Y Yang, B Wu Signal Processing 189, 108293, 2021 | 27 | 2021 |
| ALVLS: Adaptive local variances-Based levelset framework for medical images segmentation X Shu, Y Yang, J Liu, X Chang, B Wu Pattern Recognition 136, 109257, 2023 | 21 | 2023 |
| Structural target-aware model for thermal infrared tracking D Yuan, X Shu, Q Liu, Z He Neurocomputing 491, 44-56, 2022 | 17 | 2022 |
| Level set framework with transcendental constraint for robust and fast image segmentation Y Yang, R Wang, X Shu, C Feng, R Xie, W Jia, C Li Pattern Recognition 117, 107985, 2021 | 17 | 2021 |
| Adaptive weight part-based convolutional network for person re-identification X Shu, D Yuan, Q Liu, J Liu Multimedia Tools and Applications 79 (31), 23617-23632, 2020 | 16 | 2020 |
| Parallelizable and robust image segmentation model based on the shape prior information Y Yang, X Shu, R Wang, C Feng, W Jia Applied Mathematical Modelling 83, 357-370, 2020 | 13 | 2020 |
| Split Bregman method based level set formulations for segmentation and correction with application to MR images and color images Y Yang, D Tian, W Jia, X Shu, B Wu Magnetic Resonance Imaging 57, 50-67, 2019 | 12 | 2019 |
| Level set formulation based on edge and region information with application to accurate lesion segmentation of brain magnetic resonance images Y Yang, W Jia, X Shu, B Wu Journal of Optimization Theory and Applications 182, 797-815, 2019 | 4 | 2019 |
| Thermal Infrared Target Tracking: A Comprehensive Review D Yuan, H Zhang, X Shu, Q Liu, X Chang, Z He, G Shi IEEE Transactions on Instrumentation and Measurement, 2023 | 3 | 2023 |
| Recent advances on thermal infrared target tracking: A survey D Yuan, X Shu, Q Liu 2022 6th Asian Conference on Artificial Intelligence Technology (ACAIT), 1-6, 2022 | 2 | 2022 |
| ALS: Active learning-based image segmentation model for skin lesion X Shu, Y Yang, R Xie, J Liu, X Chang, B Wu Available at SSRN 4141765, 2022 | 2 | 2022 |
| Local Variance-driven Level Set Model with Application to Segment Medical Images X Shu, D Yuan 2023 International Conference on Cyber-Physical Social Intelligence (ICCSI …, 2023 | 1 | 2023 |
| An Attention Mechanism Based AVOD Network for 3D Vehicle Detection D Yuan, H Zhang, X Shu, Q Liu, X Chang, Z He, G Shi IEEE Transactions on Intelligent Vehicles, 2023 | 1 | 2023 |
| Active contour model combining local and global information dynamically with application to segment brain MR images Y Yang, X Shu, S Zhong Proceedings of the 2017 International Conference on Biometrics Engineering …, 2017 | 1 | 2017 |
| Self-supervised discriminative model prediction for visual tracking D Yuan, G Geng, X Shu, Q Liu, X Chang, Z He, G Shi Neural Computing and Applications 36 (10), 5153-5164, 2024 | | 2024 |
Di Yuan (袁笛)Xidian University; PhD of HIT; Visiting PhD student of Monash在 xidian.edu.cn 的电子邮件经过验证
