3D Face Modeling | 3D Object Detection | 3D Shape Correspondence | 3D Shape Reconstruction | Activity Recognition | Adversarial Attacks | Anti-Spoofing | Application | Attention Mechanism | Biometrics | Data Imputation | Database | Deep Learning | Deepfake | Depth Completion | Depth Prediction | Domain Adaptation | Expression Recognition | Face Alignment | Face Antispoofing | Face Deidentification | Face Modeling | Face Recognition | Face Reconstruction | Face Relighting | Fake Faces | Forecasting | Forensics | Gait Recognition | Generic Object 3D Reconstruction | Image Alignment | Image Forgery | Image Segmentation | Joint Alignment | Learning | Low-level Vision | Medical Imaging | Motion Compensation | Multi-modality | Multimedia Retrieval | Noise Synthesis | Object Detection | Pedestrian Detection | Plant Vision | Semantic Segmentation | Sensor Fusion | Sequence Alignment | Surveillance | Tracking | Typing Behavior | Video

Data Imputation

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 | Code
  • @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 },
    }