Activity Recognition | Application | Biometrics | Data Imputation | Database | Deep Learning | Expression Recognition | Face Alignment | Face Antispoofing | Face Deidentification | Face Recognition | Face Reconstruction | Forensics | Image Alignment | Image Segmentation | Joint Alignment | Learning | Low-Level Vision | Medical Imaging | Motion Compensation | Multi-Modality | Multimedia Retrieval | Pedestrian Detection | Plant Vision | Semantic Segmentation | Sequence Alignment | Surveillance | Tracking | Typing Behavior

Deep Learning

2017

  • Representation Learning by Rotating Your Faces
    Luan Tran, Xi Yin, Xiaoming Liu
    Under Review IEEE Transactions on Pattern Analysis and Machine Intelligence, May. 2017
    Bibtex | PDF | arXiv | Project Webpage
    • @article{ representation-learning-by-rotating-your-faces,
      author = { Luan Tran and Xi Yin and Xiaoming Liu },
      title = { Representation Learning by Rotating Your Faces },
      journal = { arXiv preprint arXiv:1705.11136 },
      year = { 2017 },
    }
  • Pose-Invariant Face Alignment via CNN-based Dense 3D Model Fitting
    Amin Jourabloo, Xiaoming Liu
    International Journal of Computer Vision, , Apr. 2017 (in press)
    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 },
      booktitle = { International Journal of Computer Vision },
      month = { April },
      year = { 2017 },
    }
  • Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition
    Xi Yin, Xiaoming Liu
    Under Review IEEE Transactions on Image Processing, Apr. 2017
    Bibtex | PDF | arXiv
    • @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 = { arXiv preprint arXiv:1702.04710 },
      year = { 2017 },
    }
  • Intelligent and Automatic in vivo Detection and Quantification of Transplanted Cells in MRI
    Muhammad Jamal Afridi, Arun Ross, Xiaoming Liu, Margaret Bennewitz, Dorela Shuboni, Erik M Shapiro
    Magnetic Resonance in Medicine, , Jan. 2017 (in press)
    Bibtex | PDF | Supplemental
    • @article{ intelligent-and-automatic-in-vivo-detection-and-quantification-of-transplanted-cells-in-mri,
      author = { Muhammad Jamal Afridi and Arun Ross and Xiaoming Liu and Margaret Bennewitz and Dorela Shuboni and Erik M Shapiro },
      title = { Intelligent and Automatic in vivo Detection and Quantification of Transplanted Cells in MRI },
      booktitle = { Magnetic Resonance in Medicine },
      month = { January },
      year = { 2017 },
    }
  • Illuminating Pedestrians via Simultaneous Detection & Segmentation
    Garrick Brazil, Xi Yin, Xiaoming Liu
    In Proceeding of International Conference on Computer Vision (ICCV 2017), Venice, Italy, Oct. 2017
    Bibtex | PDF | arXiv | Project Webpage
    • @inproceedings{ illuminating-pedestrians-via-simultaneous-detection-segmentation,
      author = { Garrick Brazil and Xi Yin and Xiaoming Liu },
      title = { Illuminating Pedestrians via Simultaneous Detection & Segmentation },
      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
    • @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 },
    }
  • Image Super-Resolution via Deep Recursive Residual Network
    Ying Tai, Jian Yang, Xiaoming Liu
    In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, Jul. 2017
    Bibtex | PDF | Project Webpage
    • @inproceedings{ image-super-resolution-via-deep-recursive-residual-network,
      author = { Ying Tai and Jian Yang and Xiaoming Liu },
      title = { Image Super-Resolution via Deep Recursive Residual Network },
      booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
      address = { Honolulu, HI },
      month = { July },
      year = { 2017 },
    }
  • Missing Modalities Imputation via Cascaded Residual Autoencoder
    Luan Tran, Xiaoming Liu, Jiayu Zhou, Rong Jin
    In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, Jul. 2017
    Bibtex | PDF | Project Webpage
    • @inproceedings{ missing-modalities-imputation-via-cascaded-residual-autoencoder,
      author = { Luan Tran and Xiaoming Liu and Jiayu Zhou and Rong Jin },
      title = { Missing Modalities Imputation via Cascaded Residual Autoencoder },
      booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
      address = { Honolulu, HI },
      month = { July },
      year = { 2017 },
    }
  • On Geometric Features for Skeleton-Based Action Recognition using Multilayer LSTM Networks
    Songyang Zhang, Xiaoming Liu, Jun Xiao
    Proc. IEEE Winter Conference on Application of Computer Vision (WACV 2017), Santa Rosa, CA, Mar. 2017
    Bibtex | PDF
    • @inproceedings{ on-geometric-features-for-skeleton-based-action-recognition-using-multilayer-lstm-networks,
      author = { Songyang Zhang and Xiaoming Liu and Jun Xiao },
      title = { On Geometric Features for Skeleton-Based Action Recognition using Multilayer LSTM Networks },
      booktitle = { Proc. IEEE Winter Conference on Application of Computer Vision },
      address = { Santa Rosa, CA },
      month = { March },
      year = { 2017 },
    }

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 },
    }