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 Human Reconstruction

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    Distilling CLIP with Dual Guidance for Learning Discriminative Human Body Shape Representation

    Feng Liu, Minchul Kim, Zhiyuan Ren, Xiaoming Liu

    Person Re-Identification (ReID) holds critical importance in computer vision with pivotal applications in public safety and crime prevention. Traditional ReID methods, reliant on appearance attributes such as clothing and color, encounter limitations in long-term scenarios and dynamic environments. To address these challenges, we propose CLIP3DReID, an innovative approach that enhances ...

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    Keywords: Person Re-identification, 3D Human Reconstruction

  2. summary image

    Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification

    Feng Liu, Minchul Kim, Ziang Gu, Anil Jain, Xiaoming Liu

    Long-Term Person Re-Identification (LT-ReID) has become increasingly crucial in computer vision and biometrics. In this work, we aim to extend LT-ReID beyond pedestrian recognition to include a wider range of real-world human activities while still accounting for cloth-changing scenarios over large time gaps. This setting poses additional challenges due to ...

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    Keywords: Body Matching, 3D Shape Reconstruction, Biometrics, 3D Human Reconstruction, Person Re-identification

2024

2023

  • Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification
    Feng Liu, Minchul Kim, ZiAng Gu, Anil Jain, Xiaoming Liu
    In Proceeding of International Conference on Computer Vision (ICCV 2023), Paris, France, Oct. 2023
    Bibtex | PDF | arXiv | Project Webpage | Code
  • @inproceedings{ learning-clothing-and-pose-invariant-3d-shape-representation-for-long-term-person-re-identification,
      author = { Feng Liu and Minchul Kim and ZiAng Gu and Anil Jain and Xiaoming Liu },
      title = { Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification },
      booktitle = { In Proceeding of International Conference on Computer Vision },
      address = { Paris, France },
      month = { October },
      year = { 2023 },
    }