3D Face Modeling | 3D Object Detection | 3D Shape Correspondence | 3D Shape Reconstruction | Activity Recognition | Application | Biometrics | Camera Calibration | Camera+LiDAR+Radar | Data Imputation | Database | Depth Completion | Depth Prediction | Domain Adaptation | Expression Recognition | Face Alignment | Face Antispoofing | Face Deidentification | Face Recognition | Face Reconstruction | Face Relighting | Face Synthesis | Forecasting | Gait Recognition | Generic Object 3D Reconstruction | Image Alignment | Image Manipulation | Image Segmentation | Low-level Vision | Medical Imaging | Motion Compensation | Multi-modality | Multimedia Retrieval | Object Detection | Pedestrian Detection | Plant Vision | Semantic Segmentation | Surveillance | Tracking | Typing Behavior

Face Recognition

  1. summary image

    Controllable and Guided Face Synthesis for Unconstrained Face Recognition

    Feng Liu, Minchul Kim, Anil Jain, Xiaoming Liu

    Although significant advances have been made in face recognition (FR), FR in unconstrained environments remains challenging due to the domain gap between the semi-constrained training datasets and unconstrained testing scenarios. To address this problem, we propose a controllable face synthesis model (CFSM) that can mimic the distribution of target datasets ...

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    Keywords: Face Recognition, Face Synthesis, Biometrics

  2. summary image

    AdaFace: Quality Adaptive Margin for Face Recognition

    Minchul Kim, Anil K. Jain, Xiaoming Liu

    Recognition in low quality face datasets is challenging because facial attributes are obscured and degraded. Advances in margin-based loss functions have resulted in enhanced discriminability of faces in the embedding space. Further, previous studies have studied the effect of adaptive losses to assign more importance to misclassified (hard) examples. In ...

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    Keywords: Face recognition, Biometrics

  3. summary image

    Towards Interpretable Face Recognition

    Bangjie Yin, Luan Tran, Haoxiang Li, Xiaohui Shen, Xiaoming Liu

    Deep CNNs have been pushing the frontier of visual recognition over past years. Besides recognition accuracy, strong demands in understanding deep CNNs in the research community motivate developments of tools to dissect pre-trained models to visualize how they make predictions. Recent works further push the interpretability in the network learning ...

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    Keywords: Face Recognition, Biometrics

  4. summary image

    MSU-AVIS dataset: Fusing Face and Voice Modalities for Biometric Recognition in Indoor Surveillance Videos

    Anurag Chowdhury, Yousef Atoum, Luan Tran, Xiaoming Liu, Arun Ross

    Indoor video surveillance systems often use the face modality to establish the identity of a person of interest. However, the face image may not offer sufficient discriminatory information in many scenarios due to substantial variations in pose, illumination, expression, resolution and distance between the subject and the camera.

    In such ...

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    Keywords: Application, Biometrics, Face Recognition, Surveillance, Multi-modality

  5. summary image

    Feature Transfer Learning for Deep Face Recognition with Long-Tail Data

    Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker

    Real-world face recognition datasets exhibit long-tail characteristics, which results in biased classifiers in conventionally-trained deep neural networks, or insufficient data when long-tail classes are ignored. In this paper, we propose to handle long-tail classes in the training of a face recognition engine by augmenting their feature space under a center-based ...

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    Keywords: Face Recognition, Biometrics

  6. summary image

    Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition

    Xi Yin, Xiaoming Liu

    This work explores Multi-Task Learning (MTL) for face recognition. First, we propose a multi-task Convolutional Neural Network (CNN) for face recognition where identity classification is the main task and Pose, Illumination, and Expression (PIE) estimations are the side tasks. Second, we develop a dynamic-weighting scheme to automatically assign the loss ...

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    Keywords: Face Recognition, Biometrics

  7. summary image

    Disentangled Representation Learning GAN for Pose-Invariant Face Recognition

    Luan Tran, Xi Yin, Xiaoming Liu

    The large pose discrepancy between two face images is one of the fundamental challenges in automatic face recognition. Conventional approaches to pose-invariant face recognition either perform face frontalization on, or learn a pose-invariant representation from, a non-frontal face image. We argue that it is more desirable to perform both tasks ...

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    Keywords: Face Recognition, Surveillance, Biometrics, Face Synthesis

  8. summary image

    Towards Large-Pose Face Frontalization in the Wild

    Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker

    Despite recent advances in face recognition using deep learning, severe accuracy drops are observed for large pose variations in unconstrained environments. Learning pose-invariant features is one solution, but needs expensively labeled large scale data and carefully designed feature learning algorithms. In this work, we focus on frontalizing faces in the ...

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    Keywords: Face Recognition, Face Reconstruction, 3D Shape Reconstruction, Face Synthesis, Biometrics

2022

  • Cluster and Aggregate: Face Recognition with Large Probe Set
    Minchul Kim, Feng Liu, Anil Jain, Xiaoming Liu
    In Proceeding of Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, Dec. 2022
    Bibtex | arXiv
  • @inproceedings{ cluster-and-aggregate-face-recognition-with-large-probe-set,
      author = { Minchul Kim and Feng Liu and Anil Jain and Xiaoming Liu },
      title = { Cluster and Aggregate: Face Recognition with Large Probe Set },
      booktitle = { In Proceeding of Thirty-sixth Conference on Neural Information Processing Systems },
      address = { New Orleans, LA },
      month = { December },
      year = { 2022 },
    }
  • Controllable and Guided Face Synthesis for Unconstrained Face Recognition
    Feng Liu, Minchul Kim, Anil Jain, Xiaoming Liu
    In Proceeding of European Conference on Computer Vision (ECCV 2022), Tel-Aviv, Israel, Oct. 2022
    Bibtex | PDF | arXiv | Supplemental | Project Webpage | Code
  • @inproceedings{ controllable-and-guided-face-synthesis-for-unconstrained-face-recognition,
      author = { Feng Liu and Minchul Kim and Anil Jain and Xiaoming Liu },
      title = { Controllable and Guided Face Synthesis for Unconstrained Face Recognition },
      booktitle = { In Proceeding of European Conference on Computer Vision },
      address = { Tel-Aviv, Israel },
      month = { October },
      year = { 2022 },
    }
  • AdaFace: Quality Adaptive Margin for Face Recognition
    Minchul Kim, Anil K. Jain, Xiaoming Liu
    In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, Jun. 2022 (Oral presentation)
    Bibtex | PDF | arXiv | Supplemental | Project Webpage | Code
  • @inproceedings{ adaface-quality-adaptive-margin-for-face-recognition,
      author = { Minchul Kim and Anil K. Jain and Xiaoming Liu },
      title = { AdaFace: Quality Adaptive Margin for Face Recognition },
      booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
      address = { New Orleans, LA },
      month = { June },
      year = { 2022 },
    }

2021

  • Mitigating Face Recognition Bias via Group Adaptive Classifier
    Sixue Gong, Xiaoming Liu, Anil Jain
    In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2021), Nashville, TN, Jun. 2021
    Bibtex | PDF | arXiv | Supplemental | Code
  • @inproceedings{ mitigating-face-recognition-bias-via-group-adaptive-classifier,
      author = { Sixue Gong and Xiaoming Liu and Anil Jain },
      title = { Mitigating Face Recognition Bias via Group Adaptive Classifier },
      booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
      address = { Nashville, TN },
      month = { June },
      year = { 2021 },
    }

2020

  • Improving Face Recognition from Hard Samples via Distribution Distillation Loss
    Yuge Huang*, Pengcheng Shen*, Ying Tai, Shaoxin Li, Xiaoming Liu, Jilin Li, Feiyue Huang, Rongrong Ji
    In Proceeding of European Conference on Computer Vision (ECCV 2020), Virtual, Aug. 2020
    Bibtex | PDF | arXiv | Supplemental | Code
  • @inproceedings{ improving-face-recognition-from-hard-samples-via-distribution-distillation-loss,
      author = { Yuge Huang* and Pengcheng Shen* and Ying Tai and Shaoxin Li and Xiaoming Liu and Jilin Li and Feiyue Huang and Rongrong Ji },
      title = { Improving Face Recognition from Hard Samples via Distribution Distillation Loss },
      booktitle = { In Proceeding of European Conference on Computer Vision },
      address = { Virtual },
      month = { August },
      year = { 2020 },
    }
  • Jointly De-biasing Face Recognition and Demographic Attribute Estimation
    Sixue Gong, Xiaoming Liu, Anil Jain
    In Proceeding of European Conference on Computer Vision (ECCV 2020), Virtual, Aug. 2020
    Bibtex | PDF | arXiv | Supplemental | Code | Video
  • @inproceedings{ jointly-de-biasing-face-recognition-and-demographic-attribute-estimation,
      author = { Sixue Gong and Xiaoming Liu and Anil Jain },
      title = { Jointly De-biasing Face Recognition and Demographic Attribute Estimation },
      booktitle = { In Proceeding of European Conference on Computer Vision },
      address = { Virtual },
      month = { August },
      year = { 2020 },
    }
  • CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition
    Yuge Huang, Yuhan Wang, Ying Tai, Xiaoming Liu, Pengcheng Shen, Shaoxin Li, Jilin Li, Feiyue Huang
    In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, Jun. 2020
    Bibtex | PDF | Code
  • @inproceedings{ curricularface-adaptive-curriculum-learning-loss-for-deep-face-recognition,
      author = { Yuge Huang and Yuhan Wang and Ying Tai and Xiaoming Liu and Pengcheng Shen and Shaoxin Li and Jilin Li and Feiyue Huang },
      title = { CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition },
      booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
      address = { Seattle, WA },
      month = { June },
      year = { 2020 },
    }
  • FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization
    Xi Yin, Ying Tai, Yuge Huang, Xiaoming Liu
    In Proceeding of Asian Conference on Computer Vision (ACCV 2020), Kyoto, Japan, Nov. 2020
    Bibtex | PDF | arXiv
  • @inproceedings{ fan-feature-adaptation-network-for-surveillance-face-recognition-and-normalization,
      author = { Xi Yin and Ying Tai and Yuge Huang and Xiaoming Liu },
      title = { FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization },
      booktitle = { In Proceeding of Asian Conference on Computer Vision },
      address = { Kyoto, Japan },
      month = { November },
      year = { 2020 },
    }

2019

  • Towards Interpretable Face Recognition
    Bangjie Yin*, Luan Tran*, Haoxiang Li, Xiaohui Shen, Xiaoming Liu
    In Proceeding of International Conference on Computer Vision (ICCV 2019), Seoul, South Korea, Oct. 2019 (Oral presentation)
    Bibtex | PDF | arXiv | Project Webpage | Code | Video
  • @inproceedings{ towards-interpretable-face-recognition,
      author = { Bangjie Yin* and Luan Tran* and Haoxiang Li and Xiaohui Shen and Xiaoming Liu },
      title = { Towards Interpretable Face Recognition },
      booktitle = { In Proceeding of International Conference on Computer Vision },
      address = { Seoul, South Korea },
      month = { October },
      year = { 2019 },
    }
  • Feature Transfer Learning for Face Recognition with Under-Represented Data
    Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker
    In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, Jun. 2019
    Bibtex | PDF | arXiv | Supplemental | Poster | Project Webpage
  • @inproceedings{ feature-transfer-learning-for-face-recognition-with-under-represented-data,
      author = { Xi Yin and Xiang Yu and Kihyuk Sohn and Xiaoming Liu and Manmohan Chandraker },
      title = { Feature Transfer Learning for Face Recognition with Under-Represented Data },
      booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
      address = { Long Beach, CA },
      month = { June },
      year = { 2019 },
    }

2018

  • Joint Face Alignment and 3D Face Reconstruction with Application to Face Recognition
    Feng Liu, Qijun Zhao, Xiaoming Liu, Dan Zeng
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 42, No. 3, pp.664-678, , Nov. 2018
    Bibtex | PDF | arXiv
  • @article{ joint-face-alignment-and-3d-face-reconstruction-with-application-to-face-recognition,
      author = { Feng Liu and Qijun Zhao and Xiaoming Liu and Dan Zeng },
      title = { Joint Face Alignment and 3D Face Reconstruction with Application to Face Recognition },
      journal = { IEEE Transactions on Pattern Analysis and Machine Intelligence },
      volume = { 42 },
      number = { 3 },
      month = { November },
      year = { 2018 },
      pages = { 664--678 },
    }
  • Representation Learning by Rotating Your Faces
    Luan Tran, Xi Yin, Xiaoming Liu
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 41, No. 12, pp.3007-3021, , Sep. 2018
    Bibtex | PDF | arXiv | Project Webpage | Code
  • @article{ representation-learning-by-rotating-your-faces,
      author = { Luan Tran and Xi Yin and Xiaoming Liu },
      title = { Representation Learning by Rotating Your Faces },
      journal = { IEEE Transactions on Pattern Analysis and Machine Intelligence },
      volume = { 41 },
      number = { 12 },
      month = { September },
      year = { 2018 },
      pages = { 3007--3021 },
    }
  • Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition
    Feng Liu, Dan Zeng, Qijun Zhao, Xiaoming Liu
    In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, Jun. 2018
    Bibtex | PDF | Supplemental | Poster
  • @inproceedings{ disentangling-features-in-3d-face-shapes-for-joint-face-reconstruction-and-recognition,
      author = { Feng Liu and Dan Zeng and Qijun Zhao and Xiaoming Liu },
      title = { Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition },
      booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
      address = { Salt Lake City, UT },
      month = { June },
      year = { 2018 },
    }
  • MSU-AVIS dataset: Fusing Face and Voice Modalities for Biometric Recognition in Indoor Surveillance Videos
    Anurag Chowdhury, Yousef Atoum, Luan Tran, Xiaoming Liu, Arun Ross
    In Proceeding of International Conference on Pattern Recognition (ICPR 2018), Beijing, China, Aug. 2018
    Bibtex | PDF | Poster | Project Webpage
  • @inproceedings{ msu-avis-dataset-fusing-face-and-voice-modalities-for-biometric-recognition-in-indoor-surveillance-videos,
      author = { Anurag Chowdhury and Yousef Atoum and Luan Tran and Xiaoming Liu and Arun Ross },
      title = { MSU-AVIS dataset: Fusing Face and Voice Modalities for Biometric Recognition in Indoor Surveillance Videos },
      booktitle = { In Proceeding of International Conference on Pattern Recognition },
      address = { Beijing, China },
      month = { August },
      year = { 2018 },
    }

2017

  • Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition
    Xi Yin, Xiaoming Liu
    IEEE Transactions on Image Processing, Vol. 27, No. 2, pp.964-975, , Aug. 2017
    Bibtex | PDF | Project Webpage | Code
  • @article{ multi-task-convolutional-neural-network-for-pose-invariant-face-recognition,
      author = { Xi Yin and Xiaoming Liu },
      title = { Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition },
      journal = { IEEE Transactions on Image Processing },
      volume = { 27 },
      number = { 2 },
      month = { August },
      year = { 2017 },
      pages = { 964--975 },
    }
  • Towards Large-Pose Face Frontalization in the Wild
    Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker
    In Proceeding of International Conference on Computer Vision (ICCV 2017), Venice, Italy, Oct. 2017
    Bibtex | PDF | arXiv | Supplemental | Poster | Project Webpage
  • @inproceedings{ towards-large-pose-face-frontalization-in-the-wild,
      author = { Xi Yin and Xiang Yu and Kihyuk Sohn and Xiaoming Liu and Manmohan Chandraker },
      title = { Towards Large-Pose Face Frontalization in the Wild },
      booktitle = { In Proceeding of International Conference on Computer Vision },
      address = { Venice, Italy },
      month = { October },
      year = { 2017 },
    }
  • Disentangled Representation Learning GAN for Pose-Invariant Face Recognition
    Luan Tran, Xi Yin, Xiaoming Liu
    In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, Jul. 2017 (Oral presentation)
    Bibtex | PDF | Project Webpage | Code
  • @inproceedings{ disentangled-representation-learning-gan-for-pose-invariant-face-recognition,
      author = { Luan Tran and Xi Yin and Xiaoming Liu },
      title = { Disentangled Representation Learning GAN for Pose-Invariant Face Recognition },
      booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
      address = { Honolulu, HI },
      month = { July },
      year = { 2017 },
    }

2015

  • Demographic Estimation from Face Images: Human vs. Machine Performance
    Hu Han, Charles Otto, Xiaoming Liu, Anil Jain
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 37, No. 6, pp.1148-1161, , Jun. 2015
    Bibtex | PDF
  • @article{ demographic-estimation-from-face-images-human-vs-machine-performance,
      author = { Hu Han and Charles Otto and Xiaoming Liu and Anil Jain },
      title = { Demographic Estimation from Face Images: Human vs. Machine Performance },
      journal = { IEEE Transactions on Pattern Analysis and Machine Intelligence },
      volume = { 37 },
      number = { 6 },
      month = { June },
      year = { 2015 },
      pages = { 1148--1161 },
    }

2012

  • Adaptive Unsupervised Multi-View Feature Selection for Visual Concept Recognition
    Yinfu Feng, Jun Xiao, Yueting Zhuang, Xiaoming Liu
    Proc. 11th Asian Conference on Computer Vision (ACCV 2012), Daejeon, Korea, Nov. 2012
    Bibtex | PDF
  • @inproceedings{ adaptive-unsupervised-multi-view-feature-selection-for-visual-concept-recognition,
      author = { Yinfu Feng and Jun Xiao and Yueting Zhuang and Xiaoming Liu },
      title = { Adaptive Unsupervised Multi-View Feature Selection for Visual Concept Recognition },
      booktitle = { Proc. 11th Asian Conference on Computer Vision },
      address = { Daejeon, Korea },
      month = { November },
      year = { 2012 },
    }

2011

  • Face Recognition at a Distance
    Frederick Wheeler, Xiaoming Liu, Peter Tu
    Handbook of Face Recognition, Stan Z. Li, Anil Jain, Eds., Springer-Verlag, 2011
    Bibtex
  • @incollection{ face-recognition-at-a-distance,
      author = { Frederick Wheeler and Xiaoming Liu and Peter Tu },
      title = { Face Recognition at a Distance },
      in book chapter of = { Handbook of Face Recognition },
      publisher = { Springer-Verlag },
      editor = { Stan Z. Li, Anil Jain },
      year = { 2011 },
      pages = { 353--381 },
    }

2010

  • Site-adaptation methods for face recognition
    Jilin Tu, Xiaoming Liu, Peter Tu
    Proc. 4th IEEE Biometrics: Theory, Applications and Systems (BTAS 2010), Arlington, Virginia, Sep. 2010
    Bibtex | PDF
  • @inproceedings{ site-adaptation-methods-for-face-recognition,
      author = { Jilin Tu and Xiaoming Liu and Peter Tu },
      title = { Site-adaptation methods for face recognition },
      booktitle = { Proc. 4th IEEE Biometrics: Theory, Applications and Systems },
      address = { Arlington, Virginia },
      month = { September },
      year = { 2010 },
    }
  • Improving Biometric Identification Through Quality- based Face and Fingerprint Biometric Fusion
    Yan Tong, Frederick W. Wheeler, Xiaoming Liu
    Proc. IEEE Computer Society Workshop on Biometrics (CVPRW 2010), San Francisco, California, Jun. 2010
    Bibtex | PDF
  • @inproceedings{ improving-biometric-identification-through-quality-based-face-and-fingerprint-biometric-fusion,
      author = { Yan Tong and Frederick W. Wheeler and Xiaoming Liu },
      title = { Improving Biometric Identification Through Quality- based Face and Fingerprint Biometric Fusion },
      booktitle = { Proc. IEEE Computer Society Workshop on Biometrics },
      address = { San Francisco, California },
      month = { June },
      year = { 2010 },
    }

2009

  • On Optimizing Subspaces for Face Recognition
    Jilin Tu, Xiaoming Liu, Peter Tu
    Proc. International Conference on Computer Vision (ICCV 2009), Kyoto, Japan, Sep. 2009
    Bibtex | PDF
  • @inproceedings{ on-optimizing-subspaces-for-face-recognition,
      author = { Jilin Tu and Xiaoming Liu and Peter Tu },
      title = { On Optimizing Subspaces for Face Recognition },
      booktitle = { Proc. International Conference on Computer Vision },
      address = { Kyoto, Japan },
      month = { September },
      year = { 2009 },
    }
  • Improving Face Recognition with a Quality-based Probabilistic Framework
    Necmiye Ozay, Yan Tong, Frederick W. Wheeler, Xiaoming Liu
    in Proceeding of IEEE Computer Society Workshop on Biometrics (CVPRW 2009), Miami Beach, Florida, Jun. 2009 (Best Paper Honorable Mention Award)
    Bibtex | PDF
  • @inproceedings{ improving-face-recognition-with-a-quality-based-probabilistic-framework,
      author = { Necmiye Ozay and Yan Tong and Frederick W. Wheeler and Xiaoming Liu },
      title = { Improving Face Recognition with a Quality-based Probabilistic Framework },
      booktitle = { in Proceeding of IEEE Computer Society Workshop on Biometrics },
      address = { Miami Beach, Florida },
      month = { June },
      year = { 2009 },
    }

2007

  • Automatic Face Recognition from Skeletal Remains
    Peter Tu, Rebecca Book, Xiaoming Liu, Nils Krahnstoever, Carl Adrian, Phil Williams
    Proc. IEEE Computer Vision and Pattern Recognition (CVPR 2007), Minneapolis, Minnesota, Jun. 2007
    Bibtex | PDF
  • @inproceedings{ automatic-face-recognition-from-skeletal-remains,
      author = { Peter Tu and Rebecca Book and Xiaoming Liu and Nils Krahnstoever and Carl Adrian and Phil Williams },
      title = { Automatic Face Recognition from Skeletal Remains },
      booktitle = { Proc. IEEE Computer Vision and Pattern Recognition },
      address = { Minneapolis, Minnesota },
      month = { June },
      year = { 2007 },
    }
  • Face Mosaicing for Pose Robust Video-Based Recognition
    Xiaoming Liu, Tsuhan Chen
    Proc. 8th Asian Conference on Computer Vision (ACCV 2007), Tokyo, Japan, Sep. 2007 (Acceptance rate 32%)
    Bibtex | PDF
  • @inproceedings{ face-mosaicing-for-pose-robust-video-based-recognition,
      author = { Xiaoming Liu and Tsuhan Chen },
      title = { Face Mosaicing for Pose Robust Video-Based Recognition },
      booktitle = { Proc. 8th Asian Conference on Computer Vision },
      address = { Tokyo, Japan },
      month = { September },
      year = { 2007 },
    }
  • Multi-Frame Super-Resolution for Face Recognition
    Frederick Wheeler, Xiaoming Liu, Peter Tu
    Proc. of IEEE Conference on Biometrics: Theory, Applications and Systems (BTAS 2007), Washington D.C, USA, Sep. 2007
    Bibtex | PDF
  • @inproceedings{ multi-frame-super-resolution-for-face-recognition,
      author = { Frederick Wheeler and Xiaoming Liu and Peter Tu },
      title = { Multi-Frame Super-Resolution for Face Recognition },
      booktitle = { Proc. of IEEE Conference on Biometrics: Theory, Applications and Systems },
      address = { Washington D.C, USA },
      month = { September },
      year = { 2007 },
    }
  • Multi-Frame Image Restoration for Face Recognition
    Frederick Wheeler, Xiaoming Liu, Peter Tu, Ralph Hoctor
    Proc. IEEE Signal Processing Society Workshop on Signal Processing Applications for Public Security and Forensics (SAFE 2007), Washington, D.C., USA, Apr. 2007
    Bibtex | PDF
  • @inproceedings{ multi-frame-image-restoration-for-face-recognition,
      author = { Frederick Wheeler and Xiaoming Liu and Peter Tu and Ralph Hoctor },
      title = { Multi-Frame Image Restoration for Face Recognition },
      booktitle = { Proc. IEEE Signal Processing Society Workshop on Signal Processing Applications for Public Security and Forensics },
      address = { Washington, D.C., USA },
      month = { April },
      year = { 2007 },
    }

2006

  • Optimal Pose for Face Recognition
    Xiaoming Liu, Tsuhan Chen, Jens Rittscher
    Proc. IEEE Computer Vision and Pattern Recognition (CVPR 2006), New York, New York, Jun. 2006
    Bibtex | PDF
  • @inproceedings{ optimal-pose-for-face-recognition,
      author = { Xiaoming Liu and Tsuhan Chen and Jens Rittscher },
      title = { Optimal Pose for Face Recognition },
      booktitle = { Proc. IEEE Computer Vision and Pattern Recognition },
      address = { New York, New York },
      month = { June },
      year = { 2006 },
    }

2005

  • Pose-Robust Face Recognition Using Geometry Assisted Probabilistic Modeling
    Xiaoming Liu, Tsuhan Chen
    in Proceeding of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2005), San Diego, California, Jun. 2005
    Bibtex | PDF
  • @inproceedings{ pose-robust-face-recognition-using-geometry-assisted-probabilistic-modeling,
      author = { Xiaoming Liu and Tsuhan Chen },
      title = { Pose-Robust Face Recognition Using Geometry Assisted Probabilistic Modeling },
      booktitle = { in Proceeding of IEEE International Conference on Computer Vision and Pattern Recognition },
      address = { San Diego, California },
      month = { June },
      year = { 2005 },
    }

2004

  • Pose Robust Face Recognition Based on Mosaicing - An Example Usage of Face In Action (FIA) Database
    Xiaoming Liu, Tsuhan Chen
    Demo session of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2004), Washington, D.C., USA, Jun. 2004
    Bibtex
  • @inproceedings{ pose-robust-face-recognition-based-on-mosaicing-an-example-usage-of-face-in-action-fia-database,
      author = { Xiaoming Liu and Tsuhan Chen },
      title = { Pose Robust Face Recognition Based on Mosaicing - An Example Usage of Face In Action (FIA) Database },
      booktitle = { Demo session of the IEEE International Conference on Computer Vision and Pattern Recognition },
      address = { Washington, D.C., USA },
      month = { June },
      year = { 2004 },
    }

2003

  • Eigenspace Updating for Non-Stationary Process and Its Application to Face Recognition
    Xiaoming Liu, Tsuhan Chen, Susan Thornton
    Pattern Recognition, Vol. 36, No. 9, pp.1945-1959, , Sep. 2003
    Bibtex | PDF
  • @article{ eigenspace-updating-for-non-stationary-process-and-its-application-to-face-recognition,
      author = { Xiaoming Liu and Tsuhan Chen and Susan Thornton },
      title = { Eigenspace Updating for Non-Stationary Process and Its Application to Face Recognition },
      journal = { Pattern Recognition },
      volume = { 36 },
      number = { 9 },
      month = { September },
      year = { 2003 },
      pages = { 1945--1959 },
    }
  • Face Authentication for Multiple Subjects Using Eigenflow
    Xiaoming Liu, Tsuhan Chen, B.V.K. Vijaya Kumar
    Pattern Recognition, Vol. 36, No. 2, pp.313-328, , Feb. 2003
    Bibtex | PDF
  • @article{ face-authentication-for-multiple-subjects-using-eigenflow,
      author = { Xiaoming Liu and Tsuhan Chen and B.V.K. Vijaya Kumar },
      title = { Face Authentication for Multiple Subjects Using Eigenflow },
      journal = { Pattern Recognition },
      volume = { 36 },
      number = { 2 },
      month = { February },
      year = { 2003 },
      pages = { 313--328 },
    }
  • Video-Based Face Recognition Using Adaptive Hidden Markov Models
    Xiaoming Liu, Tsuhan Chen
    Proc. IEEE Computer Vision and Pattern Recognition (CVPR 2003), Madison, Wisconsin, Jun. 2003
    Bibtex | PDF
  • @inproceedings{ video-based-face-recognition-using-adaptive-hidden-markov-models,
      author = { Xiaoming Liu and Tsuhan Chen },
      title = { Video-Based Face Recognition Using Adaptive Hidden Markov Models },
      booktitle = { Proc. IEEE Computer Vision and Pattern Recognition },
      address = { Madison, Wisconsin },
      month = { June },
      year = { 2003 },
    }

2002

  • On Modeling Variations For Face Authentication
    Xiaoming Liu, Tsuhan Chen, B.V.K. Vijaya Kumar
    Proc. International Conference on Automatic Face and Gesture Recognition (FG 2002), Washington D.C., May. 2002
    Bibtex | PDF
  • @inproceedings{ on-modeling-variations-for-face-authentication,
      author = { Xiaoming Liu and Tsuhan Chen and B.V.K. Vijaya Kumar },
      title = { On Modeling Variations For Face Authentication },
      booktitle = { Proc. International Conference on Automatic Face and Gesture Recognition },
      address = { Washington D.C. },
      month = { May },
      year = { 2002 },
    }