3D Detection | 3D Face Modeling | 3D Human Reconstruction | 3D Object Detection | 3D Shape Correspondence | 3D Shape Generation | 3D Shape Reconstruction | Activity Recognition | Agentic AI | Application | Biometrics | Body Matching | Camera Calibration | Camera+LiDAR+Radar | Data Imputation | Database | Dataset | Deepfake | Depth Completion | Depth Estimation | 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 | Human Motion | Human Recognition | Image Alignment | Image Manipulation | Image Segmentation | Low-level Vision | Medical Imaging | Motion Compensation | Multi-modality | Multimedia Retrieval | Object Detection | Object Re-Identification | Pedestrian Detection | Person Re-identification | Plant Vision | Semantic Segmentation | Surveillance | Tracking | Typing Behavior | Vision-language

Human Recognition

2026

  • SapiensID 2.0: Aligning Human Recognition Foundation Models with Human Perception
    Yiyang Su, Jie Zhu, Feng Liu, Anil Jain, Xiaoming Liu
    Proceeding of Fortieth Conference on Neural Information Processing Systems (NeurIPS 2026), Atlanta, GA, Dec. 2026
    Bibtex | arXiv
    • @inproceedings{ sapiensid-20-aligning-human-recognition-foundation-models-with-human-perception,
      author = { Yiyang Su and Jie Zhu and Feng Liu and Anil Jain and Xiaoming Liu },
      title = { SapiensID 2.0: Aligning Human Recognition Foundation Models with Human Perception },
      booktitle = { Proceeding of Fortieth Conference on Neural Information Processing Systems },
      address = { Atlanta, GA },
      month = { December },
      year = { 2026 },
    }