Deep Learning

2018

• On Learning 3D Face Morphable Model from In-the-wild Images
  Luan Tran, Xiaoming Liu
  Under Review IEEE Transactions on Pattern Analysis and Machine Intelligence, Aug. 2018
  Bibtex | PDF | arXiv | Project Webpage
@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 = { arXiv preprint arXiv:1808.09560 },
  year = { 2018 },
}
• Representation Learning by Rotating Your Faces
  Luan Tran, Xi Yin, Xiaoming Liu
  IEEE Transactions on Pattern Analysis and Machine Intelligence, , Aug. 2018
  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 },
  booktitle = { IEEE Transactions on Pattern Analysis and Machine Intelligence },
  month = { August },
  year = { 2018 },
}
• Face De-Spoofing: Anti-Spoofing via Noise Modeling
  Amin Jourabloo*, Yaojie Liu*, Xiaoming Liu
  Proc. European Conference on Computer Vision (ECCV 2018), Munich, Germany, Sep. 2018
  Bibtex | PDF | arXiv | Project Webpage
@inproceedings{ face-de-spoofing-anti-spoofing-via-noise-modeling,
  author = { Amin Jourabloo* and Yaojie Liu* and Xiaoming Liu },
  title = { Face De-Spoofing: Anti-Spoofing via Noise Modeling },
  booktitle = { Proc. European Conference on Computer Vision },
  address = { Munich, Germany },
  month = { September },
  year = { 2018 },
}
• FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors
  Yu Chen*, Ying Tai*, Xiaoming Liu, Chunhua Shen, Jian Yang
  In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, Jun. 2018 (Spotlight)
  Bibtex | PDF | arXiv | Project Webpage
@inproceedings{ fsrnet-end-to-end-learning-face-super-resolution-with-facial-priors,
  author = { Yu Chen* and Ying Tai* and Xiaoming Liu and Chunhua Shen and Jian Yang },
  title = { FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors },
  booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
  address = { Salt Lake City, UT },
  month = { June },
  year = { 2018 },
}
• Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision
  Yaojie Liu*, Amin Jourabloo*, Xiaoming Liu
  In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, Jun. 2018
  Bibtex | PDF | arXiv | Poster | Project Webpage
@inproceedings{ learning-deep-models-for-face-anti-spoofing-binary-or-auxiliary-supervision,
  author = { Yaojie Liu* and Amin Jourabloo* and Xiaoming Liu },
  title = { Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision },
  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 | Project Webpage
@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

• 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 (in press)
  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 },
  booktitle = { IEEE Transactions on Image Processing },
  volume = { 27 },
  number = { 2 },
  month = { August },
  year = { 2017 },
  pages = { 964--975 },
}
• 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 (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 },
  volume = { 124 },
  number = { 2 },
  month = { April },
  year = { 2017 },
  pages = { 187--203 },
}
• 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, Vol. 78, No. 5, pp.1991-2002, , 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 },
  volume = { 78 },
  number = { 5 },
  month = { January },
  year = { 2017 },
  pages = { 1991--2002 },
}
• 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 },
}
• Pose-Invariant Face Alignment with a Single CNN
  Amin Jourabloo, Xiaoming Liu, Mao Ye, Liu Ren
  In Proceeding of International Conference on Computer Vision (ICCV 2017), Venice, Italy, Oct. 2017
  Bibtex | PDF | Project Webpage
@inproceedings{ pose-invariant-face-alignment-with-a-single-cnn,
  author = { Amin Jourabloo and Xiaoming Liu and Mao Ye and Liu Ren },
  title = { Pose-Invariant Face Alignment with a Single CNN },
  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 },
}
• 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 | Project Webpage
@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 },
}
• Face Anti-Spoofing Using Patch and Depth-based CNNs
  Yousef Atoum, Yaojie Liu, Amin Jourabloo, Xiaoming Liu
  In Proceeding of International Joint Conference on Biometrics (IJCB 2017), Denver, CO, Oct. 2017
  Bibtex | PDF | Project Webpage
@inproceedings{ face-anti-spoofing-using-patch-and-depth-based-cnns,
  author = { Yousef Atoum and Yaojie Liu and Amin Jourabloo and Xiaoming Liu },
  title = { Face Anti-Spoofing Using Patch and Depth-based CNNs },
  booktitle = { In Proceeding of International Joint Conference on Biometrics },
  address = { Denver, CO },
  month = { October },
  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 },
}