Publications
48. X. Ge, X. Liu*, Z. Yu, J. Shi, C. Qi, J. Li, and H. Kälviäinen, “DiffFAS: Generalized Face Anti-Spoofing with Generative Diffusion Models.” European Conference on Computer Vision (ECCV). 2024.
47. K. Yuan, Z. Yu, X. Liu*, W. Xie, H. Yue, and J. Yang, “Vision Transformers are Parameter-Efficient Facial Action Unit Detectors.” European Conference on Computer Vision (ECCV). 2024.
46. D. Li, B. Xing, and X. Liu*. “Enhancing Micro Gesture Recognition for Emotion Understanding via Context-aware Visual-Text Contrastive Learning.” IEEE Signal Processing Letters. 2024. [source code]
45. Z. Yu, R. Cai, Y. Cui, X. Liu, Y. Hu, and A. Kot. “Rethinking Vision Transformer and Masked Autoencoder in Multimodal Face Anti-Spoofing.” International Journal of Computer Vision (IJCV). 2024.
44. X. Liu, Y. Zhang, Z. Yu, H. Lu, H. Yue, and J. Yang. “rPPG-MAE: Self-supervised Pretraining with Masked Autoencoders for Remote Physiological Measurements.” IEEE Transactions on Multimedia. 2024. [source code]
43. R. Gao, X. Liu, J. Yang, and H. Yue. “Multi-Channel Fused Lasso for Motion Detection in Dynamic Video Scenarios.” IEEE Transactions on Consumer Electronics. 2024. [source code]
42. Y. Zhou, C. Li, J. Liang, T. Xu, X. Liu, and J. Xu. “4K-Resolution Photo Exposure Correction at 125 FPS with ~8K Parameters.” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2024. [source code]
41. H. Yue, Y. Cheng, X. Liu, and J. Yang. “Recaptured Raw Screen Image and Video Demoiréing via Channel and Spatial Modulations.” The Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS). 2023. [source code]
40. C. Cao, H. Yue, X. Liu, and J. Yang. “Unsupervised HDR Image and Video Tone Mapping via Contrastive Learning.” IEEE Transactions on Circuits and Systems for Video Technology. 2023. [source code]
39. H. Chen, H. Shi, X. Liu, X. Li, and G. Zhao. “SMG: A Micro-Gesture Dataset Towards Spontaneous Body Gestures for Emotional Stress State Analysis.” International Journal of Computer Vision (IJCV). 2023.
38. C. Le and X. Liu. “Spatio-temporal Attention Graph Convolutional Networks for Skeleton-based Action Recognition.” Scandinavian Conference on Image Analysis (SCIA). 2023. [source code]
37. Z. Wang, Z. Yu, X. Wang, J. Li, C. Zhao, X. Liu, and Z. Lei. “Consistency Regularization for Deep Face Anti-Spoofing.” IEEE Transactions on Information Forensics and Security. Vol. 18, pp. 1127-1140, 2023. [source code]
36. W. Zhou, S. Wen, Y. Liu, L. Liu, X. Liu, L. Chen. “Forgetting Memristor Based STDP Learning Circuit for Neural Networks.” Neural Networks. Vol. 158, pp. 293-304, 2023.
35. Y. Liu, L. Chen, C. Li, X. Liu, W. Zhou, K. Li. “Long-Term and Short-Term Memory Networks Based On Forgetting Memristors”. Soft Computing. 2023.
34. C. Gong, L. Chen, and X. Liu. “Convolutional networks with short-term memory effects.” Microprocessors and Microsystems. Vol. 98, 2023.
33. J. Guo, J. Yang, H. Yue, X. Liu, and K. Li. “Unsupervised Domain-Invariant Feature Learning for Cloud Detection of Remote Sensing Images.” IEEE Transactions on Geoscience and Remote Sensing. Vol. 60, 2022.
32. H. Shi, W. Peng, H. Chen, X. Liu, and G. Zhao. “Multiscale 3D Shift Graph Convolution Network for Emotion Recognition from Human Actions.” IEEE Intelligent Systems. Vol. 37, Issue 4, pp. 103-110, 2022.
31. R. Gao, X. Liu, J. Yang, and H. Yue. “CdCLR: Clip-Driven Contrastive Learning for Skeleton-Based Action Recognition.” IEEE International Conference on Visual Communications and Image Processing (VCIP). 2022. [source code]
30. X. Liu and G. Zhao. “3D Skeletal Gesture Recognition using Sparse Coding of Time-Warping Invariant Riemannian Trajectories.” IEEE Transactions on Multimedia. Vol. 23, pp. 1841–1854, 2021.
29. Z. Yu, B. Zhou, J. Wan, P. Wang, H. Chen, X. Liu, S. Li, and G. Zhao. “Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition.” IEEE Transactions on Image Processing. Vol. 30, pp. 5626 - 5640, 2021. The second prize of IEEE Finland Jt. Chapter SP/CAS Best Paper Award.
28. X. Liu, H. Shi, H. Chen, Z. Yu, X. Li, and G. Zhao. “iMiGUE: An Identity-free Video Dataset for Micro-Gesture Understanding and Emotion Analysis.” IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 10631-10642, 2021. [project page]
27. H. Shi, W. Peng, X. Liu, and G. Zhao. “Graph Adversarial Learning for Noisy Skeleton-based Action Recognition.” IS&T International Symposium on Electronic Imaging (EI). 2021.
26. X. Liu, H. Shi, X. Hong, H. Chen, D. Tao, and G. Zhao. “3D Skeletal Gesture Recognition via Hidden States Exploration.” IEEE Transactions on Image Processing. Vol. 29, pp. 4583–4597,2020.
25. H. Chen, X. Liu, J. Shi, and G. Zhao. “Temporal hierarchical dictionary guided decoding for online gesture segmentation and recognition.” IEEE Transactions on Image Processing. vol. 29, pp. 9689–9702, 2020.
24. Y. Li, S. Lan, X. Liu, B. Lu, and L. Wang. “An efficient volume repairing method by using a modified Allen-Cahn equation.” Pattern Recognition. Vol. 107, pp.107478, 2020.
23. X. Huang, S. Wang, X. Liu, G. Zhao, X. Feng, and M. Pietikäinen. “Discriminative spatiotemporal local binary pattern with improved revisited projection for spontaneous facial micro-expression recognition.” IEEE Transactions on Affective Computing. Vol. 10, Issue. 1, pp. 32 – 47, 2019. ESI highly cited paper
22. Y. Xu, X. Hong, F. Porikli, X. Liu, J. Chen, and G. Zhao. “Saliency Integration: An Arbitrator Mode.” IEEE Transactions on Multimedia. Vol. 21, Issue 1, pp. 98 - 113, 2019.
21. X. Liu, H. Shi, X. Hong, H. Chen, D. Tao, and G. Zhao. “Hidden states exploration for 3D skeleton-based gesture recognition.” IEEE Winter Conference on Applications of Computer Vision (WACV). pp. 1846 – 1855, 2019.
20. X. Liu and G. Zhao. “3D Skeletal Gesture Recognition via Sparse Coding of Time-Warping Invariant Riemannian Trajectories.” International Conference on Multimedia Modeling (MMM). pp. 678 - 690, 2019.
19. X. Liu and G. Zhao. “Background Subtraction Using Multi-Channel Fused Lasso.” IS&T International Symposium on Electronic Imaging (EI). pp. 2691 – 2695, 2019.
18. H. Chen, X. Liu, X. Li, and G. Zhao. “Analyze Spontaneous Gestures for Emotional Stress State Recognition: A Micro-Gesture Dataset and Analysis with Deep Learning.” IEEE International Conference on Automatic Face & Gesture Recognition (FG). 2019.
17. X. Liu, J. Yao, X. Hong, C. Qi, and G. Zhao. “Background subtraction using spatio-temporal group sparsity recovery.” IEEE Transactions on Circuits and Systems for Video Technology. Vol. 28, no. 8, pp. 1737–1751, 2018.
16. J. Shi, X. Liu, Y. Zong, C. Qi, and G. Zhao. “Hallucinating face image by regularization models in high resolution feature space.” IEEE Transactions on Image Processing. Vol. 27, Issue 6, pp. 2980-2995, 2018.
15. Z. Zha, X. Liu, and X. Zhang. “Compressed sensing image reconstruction via adaptive sparse nonlocal regularization.” Visual Computer. Volume 34, Issue 1, pp 117–137, 2018.
14. S. Lan, X. Liu, L. Wang, and C. Cui. “A visually guided framework for lung segmentation and visualization in chest CT Images.” Journal of Medical Imaging and Health Informatics. Vol. 8, pp. 485–493, 2018.
13. J. Liang, J. Guo, X. Liu, S. Lao. “Fine-Grained Image Classification with Gaussian Mixture Layer.” IEEE Access. 6, 53356-53367, 2018.
12. Z. Zha, X. Zhang, Q. Wang, L. Tang, and X. Liu. “Group-based sparse representation for image compressive sensing reconstruction with non-convex regularization.” Neurocomputing. Vol. 296, 28, pp. 55-63, 2018.
11. Z. Zha, X. Zhang, Y. Wu, Q. Wang, X. Liu, L. Tang, and X.Yuan. “Non-Convex Weighted Lp Nuclear Norm based ADMM Framework for Image Restoration.” Neurocomputing. Vol. 311, pp. 209 – 224, 2018.
10. Y. Xu, X. Hong, X. Liu, and G. Zhao. “Saliency detection via bi-directional propagation.” Journal of Visual Communication and Image Representation. Vol. 53, pp. 113-121, 2018.
9. H. Chen, X. Liu, and G. Zhao. “Temporal Hierarchical Dictionary with HMM for Fast Gesture Recognition.” International Conference on Pattern Recognition (ICPR). 2018.
8. H. Shi, X. Liu, X. Hong, and G. Zhao. “Bidirectional Long Short-Term Memory Variational Autoencoder.” British Machine Vision Conference (BMVC). 2018. Spotlight.
7. Z. Zha, X. Zhang, L. Tang, and X. Liu. “Group sparsity residual constraint for image denoising with external nonlocal self-similarity prior.” Neurocomputing. Vol. 275, pp. 2294-2306, 2018.
6. Z. Zha, X. Liu, Z. Zhou, X. Huang, J. Shi, and X. Zhang. “Image denoising via group sparsity residual constraint.” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2017. pp. 1787 – 1791. Oral paper.
5. Z. Zha, X. Liu, X. Huang, and X. Zhang. “Analyzing the group sparsity based on the rank minimization methods.” IEEE International Conference on Multimedia and Expo (ICME). 2017. pp. 883 – 888. Best Paper Award.
4. X. Liu, G. Zhao, J. Yao, and C. Qi. “Background subtraction based on low-rank and structured sparse decomposition.” IEEE Transactions on Image Processing. vol. 24, no. 8, pp. 2502–2514, 2015. ESI highly cited paper. [source code]
3. J. Shi, X. Liu, and C. Qi. “Global consistency, local sparsity and pixel correlation: A unified framework for face hallucination.” Pattern Recognition. vol. 47, no. 11, pp. 3520 – 3534, 2014.
2. J. Yao, X. Liu, and C. Qi. “Foreground detection using low rank and structured sparsity.” in IEEE International Conference on Multimedia and Expo (ICME). 2014, pp. 1–6.
1. X. Liu and C. Qi. “Future-data driven modeling of complex backgrounds using mixture of Gaussians.” Neurocomputing. vol. 119, pp. 439 – 453, 2013.