3D Face Modeling | 3D Human Reconstruction | 3D Object Detection | 3D Shape Correspondence | 3D Shape Generation | 3D Shape Reconstruction | Activity Recognition | Application | Biometrics | Body Matching | 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 | Person Re-identification | Plant Vision | Semantic Segmentation | Surveillance | Tracking | Typing Behavior | Vision-language

3D Shape Reconstruction

  1. summary image

    Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification

    Feng Liu, Minchul Kim, Ziang Gu, Anil Jain, Xiaoming Liu

    Long-Term Person Re-Identification (LT-ReID) has become increasingly crucial in computer vision and biometrics. In this work, we aim to extend LT-ReID beyond pedestrian recognition to include a wider range of real-world human activities while still accounting for cloth-changing scenarios over large time gaps. This setting poses additional challenges due to ...

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    Keywords: Body Matching, 3D Shape Reconstruction, Biometrics, 3D Human Reconstruction, Person Re-identification

  2. summary image

    Voxel-based 3D Detection and Reconstruction of Multiple Objects from a Single Image

    Feng Liu, Xiaoming Liu

    Inferring 3D locations and shapes of multiple objects from a single 2D image is a long-standing objective of computer vision. Most of the existing works either predict one of these 3D properties or focus on solving both for a single object. One fundamental challenge lies in how to learn an ...

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    Keywords: 3D Object Detection, 3D Shape Reconstruction, Generic Object 3D Reconstruction

  3. summary image

    Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction

    Feng Liu, Luan Tran, Xiaoming Liu

    Inferring 3D structure of a generic object from a 2D image is a long-standing objective of computer vision. Conventional approaches either learn completely from CAD-generated synthetic data, which have difficulty in inference from real images, or generate 2.5D depth image via intrinsic decomposition, which is limited compared to the ...

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    Keywords: Generic Object 3D Reconstruction, 3D Shape Reconstruction, Semantic Segmentation

  4. 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

2024

2023

  • Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification
    Feng Liu, Minchul Kim, ZiAng Gu, Anil Jain, Xiaoming Liu
    In Proceeding of International Conference on Computer Vision (ICCV 2023), Paris, France, Oct. 2023
    Bibtex | PDF | arXiv | Project Webpage | Code
  • @inproceedings{ learning-clothing-and-pose-invariant-3d-shape-representation-for-long-term-person-re-identification,
      author = { Feng Liu and Minchul Kim and ZiAng Gu and Anil Jain and Xiaoming Liu },
      title = { Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification },
      booktitle = { In Proceeding of International Conference on Computer Vision },
      address = { Paris, France },
      month = { October },
      year = { 2023 },
    }
  • INFAMOUS-NeRF: ImproviNg FAce MOdeling Using Semantically-Aligned Hypernetworks with Neural Radiance Fields
    Andrew Hou, Feng Liu, Zhiyuan Ren, Michel Sarkis, Ning Bi, Yiying Tong, Xiaoming Liu
    arxiv, Dec. 2023
    Bibtex | arXiv
  • @inproceedings{ infamous-nerf-improving-face-modeling-using-semantically-aligned-hypernetworks-with-neural-radiance-fields,
      author = { Andrew Hou and Feng Liu and Zhiyuan Ren and Michel Sarkis and Ning Bi and Yiying Tong and Xiaoming Liu },
      title = { INFAMOUS-NeRF: ImproviNg FAce MOdeling Using Semantically-Aligned Hypernetworks with Neural Radiance Fields },
      booktitle = { arxiv },
      address = { },
      month = { December },
      year = { 2023 },
    }

2022

  • 2D GANs Meet Unsupervised Single-View 3D Reconstruction
    Feng Liu, 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{ 2d-gans-meet-unsupervised-single-view-3d-reconstruction,
      author = { Feng Liu and Xiaoming Liu },
      title = { 2D GANs Meet Unsupervised Single-View 3D Reconstruction },
      booktitle = { In Proceeding of European Conference on Computer Vision },
      address = { Tel-Aviv, Israel },
      month = { October },
      year = { 2022 },
    }
  • MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation
    Safa C. Medin, Bernhard Egger, Anoop Cherian, Ye Wang, Joshua B. Tenenbaum, Xiaoming Liu, Tim K. Marks
    Proc. AAAI Conference on Artificial Intelligence (AAAI 2022), Feb. 2022
    Bibtex | PDF | arXiv
  • @inproceedings{ most-gan-3d-morphable-stylegan-for-disentangled-face-image-manipulation,
      author = { Safa C. Medin and Bernhard Egger and Anoop Cherian and Ye Wang and Joshua B. Tenenbaum and Xiaoming Liu and Tim K. Marks },
      title = { MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation },
      booktitle = { Proc. AAAI Conference on Artificial Intelligence (AAAI 2022) },
      address = { },
      month = { February },
      year = { 2022 },
    }

2021

  • Shape My Face: Registering 3D Face Scans by Surface-to-Surface Translation
    Mehdi Bahri, Eimear O' Sullivan, Shunwang Gong, Feng Liu, Xiaoming Liu, Michael Bronstein, Stefanos Zafeiriou
    International Journal of Computer Vision (IJCV), Vol. 129, pp.2680-2713, , Jun. 2021
    Bibtex | PDF
  • @article{ shape-my-face-registering-3d-face-scans-by-surface-to-surface-translation,
      author = { Mehdi Bahri and Eimear O' Sullivan and Shunwang Gong and Feng Liu and Xiaoming Liu and Michael Bronstein and Stefanos Zafeiriou },
      title = { Shape My Face: Registering 3D Face Scans by Surface-to-Surface Translation },
      journal = { International Journal of Computer Vision (IJCV) },
      volume = { 129 },
      month = { June },
      year = { 2021 },
      pages = { 2680--2713 },
    }
  • Voxel-based 3D Detection and Reconstruction of Multiple Objects from a Single Image
    Feng Liu, Xiaoming Liu
    In Proceeding of Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), Virtual, Dec. 2021
    Bibtex | PDF | arXiv | Supplemental | Project Webpage | Code | Video
  • @inproceedings{ voxel-based-3d-detection-and-reconstruction-of-multiple-objects-from-a-single-image,
      author = { Feng Liu and Xiaoming Liu },
      title = { Voxel-based 3D Detection and Reconstruction of Multiple Objects from a Single Image },
      booktitle = { In Proceeding of Thirty-fifth Conference on Neural Information Processing Systems },
      address = { Virtual },
      month = { December },
      year = { 2021 },
    }
  • Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction
    Feng Liu, Luan Tran, Xiaoming Liu
    In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2021), Nashville, TN, Jun. 2021
    Bibtex | PDF | arXiv | Supplemental | Project Webpage | Code | Video
  • @inproceedings{ fully-understanding-generic-objects-modeling-segmentation-and-reconstruction,
      author = { Feng Liu and Luan Tran and Xiaoming Liu },
      title = { Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction },
      booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
      address = { Nashville, TN },
      month = { June },
      year = { 2021 },
    }
  • Riggable 3D Face Reconstruction via In-Network Optimization
    Ziqian Bai, Zhaopeng Cui, Xiaoming Liu, Ping Tan
    In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2021), Nashville, TN, Jun. 2021
    Bibtex | PDF | arXiv | Supplemental | Code | Video
  • @inproceedings{ riggable-3d-face-reconstruction-via-in-network-optimization,
      author = { Ziqian Bai and Zhaopeng Cui and Xiaoming Liu and Ping Tan },
      title = { Riggable 3D Face Reconstruction via In-Network Optimization },
      booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
      address = { Nashville, TN },
      month = { June },
      year = { 2021 },
    }

2020

  • Deep Facial Non-Rigid Multi-View Stereo
    Ziqian Bai, Zhaopeng Cui, Jamal Ahmed Rahim, Xiaoming Liu, Ping Tan
    In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, Jun. 2020
    Bibtex | PDF | Supplemental | Code | Video
  • @inproceedings{ deep-facial-non-rigid-multi-view-stereo,
      author = { Ziqian Bai and Zhaopeng Cui and Jamal Ahmed Rahim and Xiaoming Liu and Ping Tan },
      title = { Deep Facial Non-Rigid Multi-View Stereo },
      booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
      address = { Seattle, WA },
      month = { June },
      year = { 2020 },
    }

2019

  • On Learning 3D Face Morphable Model from In-the-wild Images
    Luan Tran, Xiaoming Liu
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 43, No. 1, pp.157-171, , Jun. 2019
    Bibtex | PDF | arXiv | Project Webpage | Code
  • @article{ on-learning-3d-face-morphable-model-from-in-the-wild-images,
      author = { Luan Tran and Xiaoming Liu },
      title = { On Learning 3D Face Morphable Model from In-the-wild Images },
      journal = { IEEE Transactions on Pattern Analysis and Machine Intelligence },
      volume = { 43 },
      number = { 1 },
      month = { June },
      year = { 2019 },
      pages = { 157--171 },
    }
  • 3D Face Modeling from Diverse Raw Scan Data
    Feng Liu, Luan Tran, Xiaoming Liu
    In Proceeding of International Conference on Computer Vision (ICCV 2019), Seoul, South Korea, Oct. 2019 (Oral presentation)
    Bibtex | PDF | arXiv | Supplemental | Poster | Project Webpage | Code | Video
  • @inproceedings{ 3d-face-modeling-from-diverse-raw-scan-data,
      author = { Feng Liu and Luan Tran and Xiaoming Liu },
      title = { 3D Face Modeling from Diverse Raw Scan Data },
      booktitle = { In Proceeding of International Conference on Computer Vision },
      address = { Seoul, South Korea },
      month = { October },
      year = { 2019 },
    }
  • Towards High-fidelity Nonlinear 3D Face Morphable Model
    Luan Tran, Feng Liu, Xiaoming Liu
    In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, Jun. 2019
    Bibtex | PDF | arXiv | Poster | Project Webpage | Code
  • @inproceedings{ towards-high-fidelity-nonlinear-3d-face-morphable-model,
      author = { Luan Tran and Feng Liu and Xiaoming Liu },
      title = { Towards High-fidelity Nonlinear 3D Face Morphable Model },
      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 },
    }
  • 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 },
    }
  • Nonlinear 3D Face Morphable Model
    Luan Tran, Xiaoming Liu
    In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, Jun. 2018 (Spotlight)
    Bibtex | PDF | arXiv | Poster | Project Webpage | Code
  • @inproceedings{ nonlinear-3d-face-morphable-model,
      author = { Luan Tran and Xiaoming Liu },
      title = { Nonlinear 3D Face Morphable Model },
      booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
      address = { Salt Lake City, UT },
      month = { June },
      year = { 2018 },
    }

2017

  • Face Alignment in Full Pose Range: A 3D Total Solution
    Xiangyu Zhu, Xiaoming Liu, Zhen Lei, Stan Li
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 41, No. 1, pp.78-92, , Nov. 2017
    Bibtex | PDF | Supplemental
  • @article{ face-alignment-in-full-pose-range-a-3d-total-solution,
      author = { Xiangyu Zhu and Xiaoming Liu and Zhen Lei and Stan Li },
      title = { Face Alignment in Full Pose Range: A 3D Total Solution },
      journal = { IEEE Transactions on Pattern Analysis and Machine Intelligence },
      volume = { 41 },
      number = { 1 },
      month = { November },
      year = { 2017 },
      pages = { 78--92 },
    }
  • Pose-Invariant Face Alignment via CNN-based Dense 3D Model Fitting
    Amin Jourabloo, Xiaoming Liu
    International Journal of Computer Vision, Vol. 124, No. 2, pp.187-203, , Apr. 2017
    Bibtex | PDF | Project Webpage
  • @article{ pose-invariant-face-alignment-via-cnn-based-dense-3d-model-fitting,
      author = { Amin Jourabloo and Xiaoming Liu },
      title = { Pose-Invariant Face Alignment via CNN-based Dense 3D Model Fitting },
      journal = { International Journal of Computer Vision },
      volume = { 124 },
      number = { 2 },
      month = { April },
      year = { 2017 },
      pages = { 187--203 },
    }
  • 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 },
    }
  • Dense Face Alignment
    Yaojie Liu, Amin Jourabloo, William Ren, Xiaoming Liu
    In Proceeding of International Conference on Computer Vision Workshops (ICCVW 2017), Venice, Italy, Oct. 2017
    Bibtex | PDF | arXiv | Poster | Project Webpage | Code
  • @inproceedings{ dense-face-alignment,
      author = { Yaojie Liu and Amin Jourabloo and William Ren and Xiaoming Liu },
      title = { Dense Face Alignment },
      booktitle = { In Proceeding of International Conference on Computer Vision Workshops },
      address = { Venice, Italy },
      month = { October },
      year = { 2017 },
    }

2016

  • Adaptive 3D Face Reconstruction from Unconstrained Photo Collections
    Joseph Roth, Yiying Tong, Xiaoming Liu
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 39, No. 11, pp.2127-2141, , Dec. 2016
    Bibtex | PDF | Project Webpage
  • @article{ adaptive-3d-face-reconstruction-from-unconstrained-photo-collections,
      author = { Joseph Roth and Yiying Tong and Xiaoming Liu },
      title = { Adaptive 3D Face Reconstruction from Unconstrained Photo Collections },
      journal = { IEEE Transactions on Pattern Analysis and Machine Intelligence },
      volume = { 39 },
      number = { 11 },
      month = { December },
      year = { 2016 },
      pages = { 2127--2141 },
    }
  • Joint Face Alignment and 3D Face Reconstruction
    Feng Liu, Dan Zeng, Qijun Zhao, Xiaoming Liu
    Proc. European Conference on Computer Vision (ECCV 2016), Amsterdam, The Netherlands, Oct. 2016 (Spotlight presentation)
    Bibtex | PDF
  • @inproceedings{ joint-face-alignment-and-3d-face-reconstruction,
      author = { Feng Liu and Dan Zeng and Qijun Zhao and Xiaoming Liu },
      title = { Joint Face Alignment and 3D Face Reconstruction },
      booktitle = { Proc. European Conference on Computer Vision },
      address = { Amsterdam, The Netherlands },
      month = { October },
      year = { 2016 },
    }
  • Adaptive 3D Face Reconstruction from Unconstrained Photo Collections
    Joseph Roth, Yiying Tong, Xiaoming Liu
    Proc. IEEE Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, Jun. 2016
    Bibtex | PDF | Poster | Project Webpage
  • @inproceedings{ adaptive-3d-face-reconstruction-from-unconstrained-photo-collections,
      author = { Joseph Roth and Yiying Tong and Xiaoming Liu },
      title = { Adaptive 3D Face Reconstruction from Unconstrained Photo Collections },
      booktitle = { Proc. IEEE Computer Vision and Pattern Recognition },
      address = { Las Vegas, NV },
      month = { June },
      year = { 2016 },
    }
  • Face Alignment Across Large Poses: A 3D Solution
    Xiangyu Zhu, Zhen Lei, Xiaoming Liu, Hailin Shi, Stan Li
    Proc. IEEE Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, Jun. 2016 (Oral presentation)
    Bibtex | PDF
  • @inproceedings{ face-alignment-across-large-poses-a-3d-solution,
      author = { Xiangyu Zhu and Zhen Lei and Xiaoming Liu and Hailin Shi and Stan Li },
      title = { Face Alignment Across Large Poses: A 3D Solution },
      booktitle = { Proc. IEEE Computer Vision and Pattern Recognition },
      address = { Las Vegas, NV },
      month = { June },
      year = { 2016 },
    }
  • Large-pose Face Alignment via CNN-based Dense 3D Model Fitting
    Amin Jourabloo, Xiaoming Liu
    Proc. IEEE Computer Vision and Pattern Recogntion (CVPR 2016), Las Vegas, NV, Jun. 2016
    Bibtex | PDF | Poster | Project Webpage
  • @inproceedings{ large-pose-face-alignment-via-cnn-based-dense-3d-model-fitting,
      author = { Amin Jourabloo and Xiaoming Liu },
      title = { Large-pose Face Alignment via CNN-based Dense 3D Model Fitting },
      booktitle = { Proc. IEEE Computer Vision and Pattern Recogntion },
      address = { Las Vegas, NV },
      month = { June },
      year = { 2016 },
    }

2015

  • Pose-Invariant 3D Face Alignment
    Amin Jourabloo, Xiaoming Liu
    Proc. International Conference on Computer Vision (ICCV 2015), Santiago, Chile, Dec. 2015
    Bibtex | PDF | Poster | Project Webpage
  • @inproceedings{ pose-invariant-3d-face-alignment,
      author = { Amin Jourabloo and Xiaoming Liu },
      title = { Pose-Invariant 3D Face Alignment },
      booktitle = { Proc. International Conference on Computer Vision },
      address = { Santiago, Chile },
      month = { December },
      year = { 2015 },
    }
  • Unconstrained 3D Face Reconstruction
    Joseph Roth, Yiying Tong, Xiaoming Liu
    Proc. IEEE Computer Vision and Pattern Recognition (CVPR 2015), Bostan, MA, Jun. 2015 (Acceptance rate 28%)
    Bibtex | PDF | Poster | Project Webpage
  • @inproceedings{ unconstrained-3d-face-reconstruction,
      author = { Joseph Roth and Yiying Tong and Xiaoming Liu },
      title = { Unconstrained 3D Face Reconstruction },
      booktitle = { Proc. IEEE Computer Vision and Pattern Recognition },
      address = { Bostan, MA },
      month = { June },
      year = { 2015 },
    }

2011

  • LPSM: Fitting Shape Model by Linear Programming
    Jilin Tu, Brandon Laflen, Xiaoming Liu, Musodiq Bello, Jens Rittscher, Peter Tu
    Proc. Automatic Face and Gesture Recognition (FG 2011), Santa Barbara, California, Mar. 2011
    Bibtex | PDF
  • @inproceedings{ lpsm-fitting-shape-model-by-linear-programming,
      author = { Jilin Tu and Brandon Laflen and Xiaoming Liu and Musodiq Bello and Jens Rittscher and Peter Tu },
      title = { LPSM: Fitting Shape Model by Linear Programming },
      booktitle = { Proc. Automatic Face and Gesture Recognition },
      address = { Santa Barbara, California },
      month = { March },
      year = { 2011 },
    }

2010

  • Video-based Face Model Fitting using Adaptive Active Appearance Model
    Xiaoming Liu
    Image and Vision Computing, Vol. 28, No. 7, pp.1162-1172, , Jul. 2010
    Bibtex | PDF
  • @article{ video-based-face-model-fitting-using-adaptive-active-appearance-model,
      author = { Xiaoming Liu },
      title = { Video-based Face Model Fitting using Adaptive Active Appearance Model },
      journal = { Image and Vision Computing },
      volume = { 28 },
      number = { 7 },
      month = { July },
      year = { 2010 },
      pages = { 1162--1172 },
    }

2007

  • Improved Face Model Fitting on Video Sequences
    Xiaoming Liu, Frederick Wheeler, Peter Tu
    Proc. British Machine Vision Conference (BMVC 2007), Warwick, UK, Sep. 2007 (Acceptance rate 39%)
    Bibtex | PDF
  • @inproceedings{ improved-face-model-fitting-on-video-sequences,
      author = { Xiaoming Liu and Frederick Wheeler and Peter Tu },
      title = { Improved Face Model Fitting on Video Sequences },
      booktitle = { Proc. British Machine Vision Conference },
      address = { Warwick, UK },
      month = { September },
      year = { 2007 },
    }

2006

  • Face Model Fitting on Low Resolution Images
    Xiaoming Liu, Peter Tu, Frederick Wheeler
    Proc. British Machine Vision Conference (BMVC 2006), Edinburgh, UK, Sep. 2006 (Acceptance rate 25%)
    Bibtex | PDF
  • @inproceedings{ face-model-fitting-on-low-resolution-images,
      author = { Xiaoming Liu and Peter Tu and Frederick Wheeler },
      title = { Face Model Fitting on Low Resolution Images },
      booktitle = { Proc. British Machine Vision Conference },
      address = { Edinburgh, UK },
      month = { September },
      year = { 2006 },
    }