Agenet: Deeply learned regressor and classifier for robust apparent age estimation X Liu, S Li, M Kan, J Zhang, S Wu, W Liu, H Han, S Shan, X Chen Proceedings of the IEEE International Conference on Computer Vision …, 2015 | 181 | 2015 |
Learning to filter: Siamese relation network for robust tracking S Cheng, B Zhong, G Li, X Liu, Z Tang, X Li, J Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 129 | 2021 |
VIPLFaceNet: an open source deep face recognition SDK X Liu, M Kan, W Wu, S Shan, X Chen Frontiers of Computer Science 11, 208-218, 2017 | 121 | 2017 |
Morphable displacement field based image matching for face recognition across pose S Li, X Liu, X Chai, H Zhang, S Lao, S Shan Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 109 | 2012 |
Recursive spatial transformer (rest) for alignment-free face recognition W Wu, M Kan, X Liu, Y Yang, S Shan, X Chen Proceedings of the IEEE International Conference on Computer Vision, 3772-3780, 2017 | 59 | 2017 |
Face recognition after plastic surgery: a comprehensive study X Liu, S Shan, X Chen Computer Vision–ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon …, 2013 | 50 | 2013 |
Distractor-aware fast tracking via dynamic convolutions and mot philosophy Z Zhang, B Zhong, S Zhang, Z Tang, X Liu, Z Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 44 | 2021 |
Self-error-correcting convolutional neural network for learning with noisy labels X Liu, S Li, M Kan, S Shan, X Chen 2017 12th IEEE International Conference on Automatic Face & Gesture …, 2017 | 34 | 2017 |
Maximal likelihood correspondence estimation for face recognition across pose S Li, X Liu, X Chai, H Zhang, S Lao, S Shan IEEE Transactions on Image Processing 23 (10), 4587-4600, 2014 | 28 | 2014 |
Exploiting feature hierarchies with convolutional neural networks for cultural event recognition M Liu, X Liu, Y Li, X Chen, AG Hauptmann, S Shan Proceedings of the IEEE international conference on computer vision …, 2015 | 21 | 2015 |
深度学习: 多层神经网络的复兴与变革 山世光, 阚美娜, 刘昕, 刘梦怡, 邬书哲 科技导报 34 (14), 60-70, 2016 | 15 | 2016 |
Data fusing and joint training for learning with noisy labels Y Wei, M Xue, X Liu, P Xu Frontiers of Computer Science 16 (6), 166338, 2022 | 7 | 2022 |
Dual-stream diffusion net for text-to-video generation B Liu, X Liu, A Dai, Z Zeng, D Wang, Z Cui, J Yang arXiv preprint arXiv:2308.08316, 2023 | 6 | 2023 |
多核图像处理并行设计范式的研究与应用 王成良, 谢克家, 刘昕 计算机工程 37 (14), 220-222, 2011 | 6 | 2011 |
Edit Temporal-Consistent Videos with Image Diffusion Model Y Wang, Y Li, X Zhang, X Liu, A Dai, AB Chan, Z Cui arXiv preprint arXiv:2308.09091, 2023 | 1 | 2023 |
面部动作单元检测方法进展与挑战 李勇, 曾加贝, 刘昕, 山世光 中国图象图形学报, 2020 | 1 | 2020 |
Noisy face image sets refining collaborated with discriminant feature space learning X Liu, M Kan, S Shan, X Chen 2017 12th IEEE International Conference on Automatic Face & Gesture …, 2017 | 1 | 2017 |
Everything is in the face? represent faces with object bank X Liu, S Shan, S Li, AG Hauptmann Computer Vision-ACCV 2014 Workshops: Singapore, Singapore, November 1-2 …, 2015 | 1 | 2015 |
Big-model Driven Few-shot Continual Learning Z Gu, C Xu, Z Lu, X Liu, A Dai, Z Cui arXiv preprint arXiv:2309.00862, 2023 | | 2023 |
A Cooperative Tracker by Fusing Correlation Filter and Siamese Network B Zhou, X Liu, B Zhong Pattern Recognition and Computer Vision: Third Chinese Conference, PRCV 2020 …, 2020 | | 2020 |