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 | DeepFake | 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 Correspondence

2022

  • Learning Implicit Functions for Dense 3D Shape Correspondence of Generic Objects
    Feng Liu, Xiaoming Liu
    IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), , Nov. 2022 (in press)
    Bibtex | PDF | arXiv
    • @article{ learning-implicit-functions-for-dense-3d-shape-correspondence-of-generic-objects,
      author = { Feng Liu and Xiaoming Liu },
      title = { Learning Implicit Functions for Dense 3D Shape Correspondence of Generic Objects },
      journal = { IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) },
      month = { November },
      year = { 2022 },
    }

2020

  • Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence
    Feng Liu, Xiaoming Liu
    In Proceeding of 2020 Conference on Neural Information Processing Systems (NeurIPS 2020), Virtual, Dec. 2020 (Oral)
    Bibtex | PDF | arXiv | Supplemental | Poster | Project Webpage | Code | Video
    • @inproceedings{ learning-implicit-functions-for-topology-varying-dense-3d-shape-correspondence,
      author = { Feng Liu and Xiaoming Liu },
      title = { Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence },
      booktitle = { In Proceeding of 2020 Conference on Neural Information Processing Systems },
      address = { Virtual },
      month = { December },
      year = { 2020 },
    }