| Fs-net: Fast shape-based network for category-level 6d object pose estimation with decoupled rotation mechanism W Chen, X Jia, HJ Chang, J Duan, L Shen, A Leonardis Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 154 | 2021 |
| G2l-net: Global to local network for real-time 6d pose estimation with embedding vector features W Chen, X Jia, HJ Chang, J Duan, A Leonardis Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 106 | 2020 |
| Geometry constrained weakly supervised object localization W Lu, X Jia, W Xie, L Shen, Y Zhou, J Duan Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 85 | 2020 |
| Hand-crafted feature guided deep learning for facial expression recognition G Zeng, J Zhou, X Jia, W Xie, L Shen 2018 13th IEEE International Conference on Automatic Face & Gesture …, 2018 | 72 | 2018 |
| U-net vs transformer: Is u-net outdated in medical image registration? X Jia, J Bartlett, T Zhang, W Lu, Z Qiu, J Duan International Workshop on Machine Learning in Medical Imaging, 151-160, 2022 | 59 | 2022 |
| Sparse deep feature learning for facial expression recognition W Xie, X Jia, L Shen, M Yang Pattern Recognition 96, 106966, 2019 | 56 | 2019 |
| Deep cross residual network for HEp-2 cell staining pattern classification L Shen, X Jia, Y Li Pattern Recognition 82, 68-78, 2018 | 41 | 2018 |
| Deep convolutional neural network based HEp-2 cell classification X Jia, L Shen, X Zhou, S Yu 2016 23rd International Conference on Pattern Recognition (ICPR), 77-80, 2016 | 35 | 2016 |
| Skin lesion classification using class activation map X Jia, L Shen arXiv preprint arXiv:1703.01053, 2017 | 27 | 2017 |
| Learning a model-driven variational network for deformable image registration X Jia, A Thorley, W Chen, H Qiu, L Shen, IB Styles, HJ Chang, ... IEEE Transactions on Medical Imaging 41 (1), 199-212, 2021 | 26 | 2021 |
| Improved softmax loss for deep learning‐based face and expression recognition J Zhou, X Jia, L Shen, Z Wen, Z Ming Cognitive Computation and Systems 1 (4), 97-102, 2019 | 24 | 2019 |
| Gratis: Deep learning graph representation with task-specific topology and multi-dimensional edge features S Song, Y Song, C Luo, Z Song, S Kuzucu, X Jia, Z Guo, W Xie, L Shen, ... arXiv preprint arXiv:2211.12482, 2022 | 20 | 2022 |
| Nesterov accelerated ADMM for fast diffeomorphic image registration A Thorley, X Jia, HJ Chang, B Liu, K Bunting, V Stoll, A de Marvao, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 19 | 2021 |
| Fourier-net: Fast image registration with band-limited deformation X Jia, J Bartlett, W Chen, S Song, T Zhang, X Cheng, W Lu, Z Qiu, J Duan Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 1015-1023, 2023 | 16 | 2023 |
| Texture deformation based generative adversarial networks for multi-domain face editing W Chen, X Xie, X Jia, L Shen Pacific Rim International Conference on Artificial Intelligence, 257-269, 2019 | 11* | 2019 |
| Arbitrary order total variation for deformable image registration J Duan, X Jia, J Bartlett, W Lu, Z Qiu Pattern Recognition 137, 109318, 2023 | 10 | 2023 |
| Fusing multiple deep features for face anti-spoofing Y Tang, X Wang, X Jia, L Shen Biometric Recognition: 13th Chinese Conference, CCBR 2018, Urumqi, China …, 2018 | 9 | 2018 |
| Fourier-net+: Leveraging band-limited representation for efficient 3d medical image registration X Jia, A Thorley, A Gomez, W Lu, D Kotecha, J Duan arXiv preprint arXiv:2307.02997, 2023 | 7 | 2023 |
| Uniface: Unified cross-entropy loss for deep face recognition J Zhou, X Jia, Q Li, L Shen, J Duan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 6 | 2023 |
| Unitsface: Unified threshold integrated sample-to-sample loss for face recognition X Jia, J Zhou, L Shen, J Duan Advances in Neural Information Processing Systems 36, 32732-32747, 2023 | 5 | 2023 |
Linlin ShenShenzhen UniversityVerified email at szu.edu.cn
