Xin Liu

Xin Liu
Associate Professor (Tenure Track)
Computational Engineering
LUT School of Engineering Sciences
Lappeenranta
Research areas
Artificial Intelligence
Signal Processing
Computer Vision and Pattern Recognition
Social Psychology

Biography

Xin Liu is an Associate Professor of Computer Science at Lappeenranta-Lahti University of Technology LUT, Finland. He received his Ph.D. degree in Computer Science from University of Oulu, Finland in 2019, and Information and Communication Engineering from Xi'an Jiaotong University, China in 2016. His research interests include affective computing, social signal processing, emotion AI, and biometrics.

Xin Liu was an Academy of Finland postdoc fellow. Dr. Liu was a senior researcher worked with Professor Guoying Zhao and Professor Matti Pietikainen at CMVS group at University of Oulu, Finland. From August 2017 to February 2018, he was a visiting researcher at the University of Sydney, Australia, worked with Professor Dacheng Tao. From March to August 2019, he worked with Professor Stefanos Zafeiriou at the Imperial College London, United Kingdom. Xin has been awarded and funded by the Academy of Finland, Finnish Foundation for Technology Promotion (TES), Nokia Foundation, KAUTE Foundation, Otto A. Malm Foundation, Tauno Tonning Foundation, and Riitta Ja Jorma J. Takanen Foundation for his research excellence on computer vision and artificial intelligence. He was the winner of the Endeavour Research Fellowship by Australian Government Department of Education and Training. Xin Liu is a senior member of IEEE, and a member of ACM, SPIE, and ELLIS.

Selected Publications:

Xin Liu, Kaishen Yuan, Xuesong Niu, Jingang Shi, Zitong Yu, Huanjing Yue, and Jingyu Yang. "Multi-scale Learning Promoted Dynamic Correlation Learning for Facial Action Unit Detection." IEEE Transactions on Affective Computing (TAffect). 2024.

Xinxu Ge, Xin Liu, Zitong Yu, Jingang Shi, Chun Qi, Jie Li, and Heikki Kälviäinen, "DiffFAS: Face Anti-Spoofing via Generative Diffusion Models." European Conference on Computer Vision (ECCV). 2024.

Kaishen Yuan, Zitong Yu, Xin Liu, Weicheng Xie, Huanjing Yue, and Jingyu Yang, "AUFormer: Vision Transformers are Parameter-Efficient Facial Action Unit Detectors." European Conference on Computer Vision (ECCV). 2024. 

Xin Liu, Chao Hao, Zitong Yu, Huanjing Yue, and Jingyu Yang. "From Recognition to Prediction: Leveraging Sequence Reasoning for Action Anticipation." ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM). 2024.

Zitong Yu, Rizhao Cai, Yawen Cui, Xin Liu, Yongjian Hu and Alex C. Kot. "Rethinking Vision Transformer and Masked Autoencoder in Multimodal Face Anti-Spoofing." International Journal of Computer Vision (IJCV). 2024. 

Xin Liu, Yuting Zhang, Zitong Yu, Hao Lu, Huanjing Yue, and Jingyu Yang. "rPPG-MAE: Self-supervised Pre-training with Masked Autoencoders for Remote Physiological Measurement." IEEE Transactions on Multimedia (TMM). 2024.

Huanjing Yue, Yijia Cheng, Xin Liu, and Jingyu 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.

Haoyu Chen, Henglin Shi, Xin Liu, Xiaobai Li, and Guoying Zhao. "SMG: A Micro-Gesture Dataset Towards Spontaneous Body Gestures for Emotional Stress State Analysis." International Journal of Computer Vision (IJCV). 2023.

Zezheng Wang, Zitong Yu, Xun Wang, Yunxiao Qin, Jiahong Li, Chenxu Zhao, Xin Liu, Zhen Lei. "Consistency Regularization for Deep Face Anti-Spoofing." IEEE Transactions on Information Forensics and Security (TIFS). 2023.

Cong Cao, Huanjing Yue, Xin Liu, and Jingyu Yang. "Unsupervised HDR Image and Video Tone Map-ping via Contrastive Learning." IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). 2023.

Jianhua Guo, Jingyu Yang, Huanjing Yue, Xin Liu, Kun Li. "Unsupervised Domain-Invariant Feature Learning for Cloud Detection of Remote Sensing Images." IEEE Transactions on Geoscience and Remote Sensing (TGRS). 2022.

Xin Liu, Henglin Shi, Haoyu Chen, Zitong Yu, Xiaobai Li, Guoying Zhao, "iMiGUE: An Identity-free Video Dataset for Micro-Gesture Understanding and Emotion Analysis", IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2021.

Zitong Yu, Benjia Zhou, Jun Wan, Pichao Wang, Haoyu Chen, Xin Liu, Stan Z. Li, and Guoying Zhao. "Searching multi-rate and multi-modal temporal enhanced networks for gesture recognition." IEEE Transactions on Image Processing (TIP). 2021. (Second prize of the IEEE Finland Jt. Chapter SP/CAS Best Paper Award 2022)

Xin Liu, Guoying Zhao. "3D Skeletal Gesture Recognition via Discriminative Coding on Time-Warping Invariant Riemannian Trajectories", IEEE Transactions on Multimedia (TMM). 2021.

Xin Liu, Henglin Shi, Xiaopeng Hong, Haoyu Chen, Dacheng Tao, Guoying Zhao, "3D Skeletal Gesture Recognition via Hidden States Exploration", IEEE Transactions on Image Processing (TIP). 2020.

Haoyu Chen, Xin Liu, Jingang Shi, Guoying Zhao. "Temporal hierarchical dictionary guided decoding for online gesture segmentation and recognition", IEEE Transactions on Image Processing (TIP). 2020.

Xiaohua Huang, Sujing Wang, Xin Liu, Guoying Zhao, Xiaoyi Feng, Matti Pietikainen. "Discriminative Spatiotemporal Local Binary Pattern with Revisited Integral Projection for Spontaneous Facial Mi-cro-Expression Recognition", IEEE Transactions on Affective Computing (TAffect). 2019. (ESI highly cited paper)

Yingyue Xu, Xiaopeng Hong, Fatih Porikli, Xin Liu, Jie Chen, Guoying Zhao. "Saliency Integration: An Arbitrator Model", IEEE Transactions on Multimedia (TMM). 2019.

Xin Liu, Jiawen Yao, Xiaopeng Hong, Xiaohua Huang, Ziheng Zhou, Chun Qi, Guoying Zhao. "Background Subtraction using Spatio-Temporal Group Sparsity Recovery", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). 2018.

Jingang Shi, Xin Liu, Yuan Zong, Chun Qi, Guoying Zhao."Hallucinating Face Image by Regularization Models in High-Resolution Feature Space", IEEE Transactions on Image Processing (TIP). 2018.

Zhiyuan Zha, Xin Liu, Xiaohua Huang, Henglin Shi, Yingyue Xu, Qiong Wang, Lan Tang, Xinggan Zhang. "Analyzing the group sparsity based on the rank minimization methods." IEEE International Conference on Multimedia and Expo (ICME). 2017. Best Paper Award

Xin Liu, Guoying Zhao, Jiawen Yao, Chun Qi. "Background Subtraction Based on Low-rank and Structured Sparse Decomposition", IEEE Transactions on Image Processing (TIP). 2015. (ESI highly cited paper).


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