Dr. Xin Liu 刘鑫

Xin Liu
@
Center for Machine Vision and Signal Analysis
Computer Science and Engineering Department
University of Oulu

News:

  • 06/2020: One paper accepted by IEEE Transactions on Multimedia
  • 05/2020: Awarded the Academy of Finland Postdoc Position
  • 11/2019: One paper accepted by IEEE Transactions on Image Processing
  • 06/2019: Received a grant of the KAUTE Foundation
  • 03/2019: Passed Ph.D thesis defense
  • 11/2018: One paper accepted by IEEE WACV 2019
  • 06/2018: Received a grant of the Riitta and Jorma J. Takanen Foundation
  • 05/2018: One co-author paper accepted by IEEE Transactions on Multimedia
  • 02/2018: One co-author paper accepted by IEEE Transactions on Image Processing
  • 06/2017: One co-author paper accepted by IEEE Transactions on Affective Computing
  • 05/2017: Received a grant of the Finnish Foundation for Technology Promotion (Tekniikan Edistamissaatio, TES)
  • More Archived


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    Biography


    Dr. Xin LIU is an Academy of Finland postdoc fellow and a senior researcher working with Professor Guoying Zhao at CMVS group. He received his Ph.D. degrees in Computer Science from University of Oulu, Finland and in Information and Communication Engineering from Xi'an Jiaotong University, China, in 2019 and 2016 respectively.

    His current research focus on machine learning research for human behavior analysis (body gestures, actions, facial expression), object detection (foreground segmentation, saliency detection), and image restoration (denoising, deblurring, super-resolution), etc. He has authored or co-authored more than 30 papers in journals and conferences, and has served as a reviewer for 30 conferences and journals, such as the PAMI and IJCV.

    Dr. Liu was awarded a highly competitive three-year postdoctoral position from the Academy of Finland. He also has been awarded and funded by the Finnish Foundation for Technology Promotion (TES), Nokia Foundation, KAUTE Foundation, Otto A. Malm Foundation, Tauno Tonning Foundation, and Riitta and 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.

    From August to September 2019, Xin visited the Aalto University, worked with Prof. Juho Kannala. From March to August 2019, he worked with Prof. Stefanos Zafeiriou at the Imperial College London, United Kingdom. From August 2017 to February 2018, he was a visiting researcher at the University of Sydney, Australia, worked with Prof. Dacheng Tao.



    Publications


    "3D Skeletal Gesture Recognition via Discriminative Coding on Time-Warping Invariant Riemannian Trajectories"
    Xin Liu, Guoying Zhao.
    IEEE Transactions on Multimedia (TMM), 2020, Accepted.

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

    "An efficient volume repairing method by using a modified Allen-Cahn equation"
    Yibao Li, Shouren Lan, Xin Liu, Bingheng Lu, Lisheng Wang.
    Pattern Recognition (PR), 2020, Accepted.

    "Analyze Spontaneous Gestures for Emotional Stress State Recognition: A Micro-gesture Dataset and Analysis with Deep Learning"[Link]
    Haoyu Chen, Xin Liu, Xiaobai Li, Henglin Shi, Guoying Zhao.
    IEEE International Conference on Automatic Face & Gesture Recognition (FG), 2019.

    "Discriminative Spatiotemporal Local Binary Pattern with Revisited Integral Projection for Spontaneous Facial Micro-Expression Recognition"[PDF][Link]
    Xiaohua Huang, Sujing Wang, Xin Liu, Guoying Zhao, Xiaoyi Feng, Matti Pietikainen.
    IEEE Transactions on Affective Computing (TAC), Vol. 10, Issue. 1, pp. 32-47, 2019.

    "Hidden States Exploration for 3D Skeleton-based Gesture Recognition"[Link]
    Xin Liu, Henglin Shi, Xiaopeng Hong, Haoyu Chen, Dacheng Tao, Guoying Zhao.
    IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 1846-1855, 2019.

    "Background Subtraction Using Multi-Channel Fused Lasso"[Link]
    Xin Liu, Guoying Zhao.
    IS&T International Symposium on Electronic Imaging (EI), pp. 2691-2695, 2019. Invited paper.

    "3D Skeletal Gesture Recognition via Sparse Coding of Time-Warping Invariant Riemannian Trajectories"[Link]
    Xin Liu, Guoying Zhao.
    International Conference on MultiMedia Modeling (MMM), pp. 678 - 690, 2019.

    "Saliency Integration: An Arbitrator Model"[PDF][Link]
    Yingyue Xu, Xiaopeng Hong, Fatih Porikli, Xin Liu, Jie Chen, Guoying Zhao.
    IEEE Transactions on Multimedia (TMM), Vol. 21, Issue 1, pp. 98 - 113, 2019.

    "Background Subtraction using Spatio-Temporal Group Sparsity Recovery"[PDF][Link]
    Xin Liu, Jiawen Yao, Xiaopeng Hong, Xiaohua Huang, Ziheng Zhou, Chun Qi, Guoying Zhao.
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 28, Issue 8, pp. 1737 - 1751, 2018.

    "Bidirectional Long Short-Term Memory Variational Autoencoder"[PDF]
    Henglin Shi, Xin Liu, Xiaopeng Hong, Guoying Zhao.
    British Machine Vision Conference (BMVC), 2018. Spotlight.

    "Non-Convex Weighted Lp Nuclear Norm based ADMM Framework for Image Restoration" [Link]
    Zhiyuan Zha, Xinggan Zhang, Yu Wu, Qiong Wang, Xin Liu, Lan Tang and Xin Yuan.
    Neurocomputing, Vol. 311, pp. 209 - 224, 2018.

    "Temporal Hierarchical Dictionary with HMM for Fast Gesture Recognition"[PDF]
    Haoyu Chen, Xin Liu, Guoying Zhao.
    International Conference on Pattern Recognition (ICPR), pp. 3378 - 3383, 2018.

    "Hallucinating Face Image by Regularization Models in High-Resolution Feature Space"[PDF][Link]
    Jingang Shi, Xin Liu, Yuan Zong, Chun Qi, Guoying Zhao.
    IEEE Transactions on Image Processing (TIP), Vol. 27, Issue 6, pp. 2980 - 2995, 2018

    "Group-based Sparse Representation for Image Compressive Sensing Reconstruction with Non-Convex Regularization"[Link]
    Zhiyuan Zha, Xinggan Zhang, Qiong Wang, Lan Tang and Xin Liu.
    Neurocomputing, Vol. 296, pp. 55 - 63, 2018.

    "Saliency Detection via Bi-directional Propagation"[Link]
    Yingyue Xu, Xiaopeng Hong, Xin Liu, Guoying Zhao.
    Journal of Visual Communication and Image Representation, Vol. 53, pp. 113 - 121, 2018.

    "A Visually Guided Framework for Lung Segmentation and Visualization in Chest CT Images"[Link]
    Shouren Lan, Xin Liu, Lisheng Wang, Chaoyi Cui.
    Journal of Medical Imaging and Health Informatics, Vol. 8, pp. 485 - 493, 2018.

    "Group Sparsity Residual Constraint for Image Denoising with External Nonlocal Self-Similarity Prior"[PDF][Link][Code]
    Zhiyuan Zha, Xinggan Zhang, Qiong Wang, Lan Tang and Xin Liu.
    Neurocomputing, Vol. 275, pp. 2294 - 2306, 2018.

    "Compressed Sensing Image Reconstruction Via Adaptive Sparse Nonlocal Regularization"[PDF][Link]
    Zhiyuan Zha, Xin Liu, Xinggan Zhang, etal.
    Visual Computer, Volume 34, Issue 1, pp 117 - 137, 2018

    "Analyzing the group sparsity based on the rank minimization methods"[PDF][Link]
    Zhiyuan Zha, Xin Liu, etal.
    IEEE International Conference on Multimedia and Expo (ICME), pp. 883 - 888, 2017. Oral. Best paper award

    "Image Denoising via Group Sparsity Residual Constraint"[PDF][Link][Project&Code]
    Zhiyuan Zha, Xin Liu, Ziheng Zhou, etal.
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1787 - 1791, 2017.

    "Image Restoration using Group Sparse Representation via Weighted Nuclear Norm Minimization"[Link][Project&Code]
    Zhiyuan Zha, Xinggan Zhang, Xin Liu, Ziheng Zhou, Jingang Shi, etal.
    arXiv preprint, arXiv 1608.04517, 2016.

    "Background Subtraction Based on Low-rank and Structured Sparse Decomposition"[PDF][Link][Project&Code]
    Xin Liu, Guoying Zhao, Jiawen Yao, Chun Qi.
    IEEE Transactions on Image Processing (TIP), Vol. 24, Issue 8, pp. 2502 - 2514, 2015.

    "Global consistency, local sparsity and pixel correlation: A unified framework for face hallucination"[PDF][Link]
    Jingang Shi, Xin Liu, Chun Qi.
    Pattern Recognition (PR), Vol. 47, pp. 3520 - 3534, 2014.

    "Foreground detection using Low rank and Structured sparsity"[PDF][Project&Code]
    Jiawen Yao, Xin Liu, Chun Qi.
    IEEE International Conference on Multimedia and Expo (ICME). 2014. Oral.

    "Future-data driven modeling of complex backgrounds using mixture of Gaussians"[PDF][Link]
    Xin Liu, Chun Qi.
    Neurocomputing, Vol. 119, pp. 439 - 453, 2013.

    Academic Services


    Journals Reviewer

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    International Journal of Computer Vision
    IEEE Transactions on Image Processing
    IEEE Transactions on Neural Networks and Learning Systems
    IEEE Transactions on Circuits and Systems for Video Technology
    IEEE Transactions on Computational Imaging
    ACM Transactions on Multimedia Computing, Communications, and Applications
    Pattern Recognition
    Knowledge-Based Systems
    Neurocomputing Outstanding Reviewer
    IEEE Access
    IEEE Signal Processing Letters
    Artificial Intelligence Review
    Multimedia Tools and Application
    Soft Computing
    Visual Computer
    Digital Signal Processing Outstanding Reviewer
    Mathematical Problems in Engineering
    IET Electronics Letters
    IET Computer Vision
    IET Image Processing
    SPIE Journal of Electronic Imaging
    Frontiers of Information Technology & Electronic Engineering
    China Communications
    IPSJ Transactions on Computer Vision and Applications

    Conferences Reviewer

    IEEE Conference on Computer Vision and Pattern Recognition
    IEEE International Conference on Computer Vision
    IEEE International Conference on Multimedia and Expo
    IEEE International Conference on Automatic Face and Gesture Recognition
    IEEE International Conference on Machine Learning and Applications
    British Machine Vision Conference
    International Conference on Pattern Recognition
    Asian Conference on Computer Vision
    ACM International Conference on Multimodal Interaction
    International Conference on Image Processing Theory, Tools and Applications
    International Conference on Advances in Signal, Image and Video Processing