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 | Object Re-Identification | Pedestrian Detection | Person Re-identification | Plant Vision | Semantic Segmentation | Surveillance | Tracking | Typing Behavior | Vision-language

Surveillance

  1. summary image

    MSU-AVIS dataset: Fusing Face and Voice Modalities for Biometric Recognition in Indoor Surveillance Videos

    Anurag Chowdhury, Yousef Atoum, Luan Tran, Xiaoming Liu, Arun Ross

    Indoor video surveillance systems often use the face modality to establish the identity of a person of interest. However, the face image may not offer sufficient discriminatory information in many scenarios due to substantial variations in pose, illumination, expression, resolution and distance between the subject and the camera.

    In such ...

    Continue reading

    Keywords: Application, Biometrics, Face Recognition, Surveillance, Multi-modality

  2. summary image

    Disentangled Representation Learning GAN for Pose-Invariant Face Recognition

    Luan Tran, Xi Yin, Xiaoming Liu

    The large pose discrepancy between two face images is one of the fundamental challenges in automatic face recognition. Conventional approaches to pose-invariant face recognition either perform face frontalization on, or learn a pose-invariant representation from, a non-frontal face image. We argue that it is more desirable to perform both tasks ...

    Continue reading

    Keywords: Face Recognition, Surveillance, Biometrics, Face Synthesis

2022

  • The State of Aerial Surveillance: A Survey
    Kien Nguyen, Clinton Fookes, Sridha Sridharan, Yingli Tian, Feng Liu, Xiaoming Liu, Arun Ross
    IEEE Transactions on Pattern Analysis and Machine Intelligence, , Jan. 2022 (Under Review)
    Bibtex | PDF | arXiv
    • @article{ the-state-of-aerial-surveillance-a-survey,
      author = { Kien Nguyen and Clinton Fookes and Sridha Sridharan and Yingli Tian and Feng Liu and Xiaoming Liu and Arun Ross },
      title = { The State of Aerial Surveillance: A Survey },
      journal = { IEEE Transactions on Pattern Analysis and Machine Intelligence },
      month = { January },
      year = { 2022 },
    }

2020

  • FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization
    Xi Yin, Ying Tai, Yuge Huang, Xiaoming Liu
    In Proceeding of Asian Conference on Computer Vision (ACCV 2020), Kyoto, Japan, Nov. 2020
    Bibtex | PDF | arXiv
    • @inproceedings{ fan-feature-adaptation-network-for-surveillance-face-recognition-and-normalization,
      author = { Xi Yin and Ying Tai and Yuge Huang and Xiaoming Liu },
      title = { FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization },
      booktitle = { In Proceeding of Asian Conference on Computer Vision },
      address = { Kyoto, Japan },
      month = { November },
      year = { 2020 },
    }

2018

  • MSU-AVIS dataset: Fusing Face and Voice Modalities for Biometric Recognition in Indoor Surveillance Videos
    Anurag Chowdhury, Yousef Atoum, Luan Tran, Xiaoming Liu, Arun Ross
    In Proceeding of International Conference on Pattern Recognition (ICPR 2018), Beijing, China, Aug. 2018
    Bibtex | PDF | Poster | Project Webpage
    • @inproceedings{ msu-avis-dataset-fusing-face-and-voice-modalities-for-biometric-recognition-in-indoor-surveillance-videos,
      author = { Anurag Chowdhury and Yousef Atoum and Luan Tran and Xiaoming Liu and Arun Ross },
      title = { MSU-AVIS dataset: Fusing Face and Voice Modalities for Biometric Recognition in Indoor Surveillance Videos },
      booktitle = { In Proceeding of International Conference on Pattern Recognition },
      address = { Beijing, China },
      month = { August },
      year = { 2018 },
    }

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 | Code
    • @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 },
    }

2011

  • Video Analytics for Force Protection
    Peter Tu, Glen Brooksby, Gianfranco Doretto, Donald Hamilton, Nils Krahnstoever, J. Brandon Laflen, Xiaoming Liu, Kedar Patwardhan, Thomas Sebastian, Yan Tong, Jilin Tu, Frederick Wheeler, Christopher Wynnyk, Yi Yao, Ting Yu
    Distributed Video Sensor Networks, B. Bhanu, C.V. Ravishankar, A.K. Roy-Chowdhury, H. Aghajan, D. Terzopoulos, Eds., Springer-Verlag, 2011
    Bibtex
    • @incollection{ video-analytics-for-force-protection,
      author = { Peter Tu and Glen Brooksby and Gianfranco Doretto and Donald Hamilton and Nils Krahnstoever and J. Brandon Laflen and Xiaoming Liu and Kedar Patwardhan and Thomas Sebastian and Yan Tong and Jilin Tu and Frederick Wheeler and Christopher Wynnyk and Yi Yao and Ting Yu },
      title = { Video Analytics for Force Protection },
      in book chapter of = { Distributed Video Sensor Networks },
      publisher = { Springer-Verlag },
      editor = { B. Bhanu, C.V. Ravishankar, A.K. Roy-Chowdhury, H. Aghajan, D. Terzopoulos },
      year = { 2011 },
      pages = { 405--425 },
    }
  • Automatic Surveillance Video Matting Using a Shape Prior
    Ting Yu, Xiaoming Liu, Ser-Nam Lim, Nils Krahnstoever, Peter Tu
    Proc. 11th IEEE Workshop on Visual Surveillance (ICCV 2011), Barcelona, Spain, Sep. 2011
    Bibtex | PDF
    • @inproceedings{ automatic-surveillance-video-matting-using-a-shape-prior,
      author = { Ting Yu and Xiaoming Liu and Ser-Nam Lim and Nils Krahnstoever and Peter Tu },
      title = { Automatic Surveillance Video Matting Using a Shape Prior },
      booktitle = { Proc. 11th IEEE Workshop on Visual Surveillance },
      address = { Barcelona, Spain },
      month = { September },
      year = { 2011 },
    }

2008

  • Boosted Deformable Model for Human Body Alignment
    Xiaoming Liu, Ting Yu, Thomas Sebastian, Peter Tu
    Proc. IEEE Computer Vision and Pattern Recognition (CVPR 2008), Anchorage, Alaska, Jun. 2008
    Bibtex | PDF
    • @inproceedings{ boosted-deformable-model-for-human-body-alignment,
      author = { Xiaoming Liu and Ting Yu and Thomas Sebastian and Peter Tu },
      title = { Boosted Deformable Model for Human Body Alignment },
      booktitle = { Proc. IEEE Computer Vision and Pattern Recognition },
      address = { Anchorage, Alaska },
      month = { June },
      year = { 2008 },
    }

2007

  • What are Customers Looking at?
    Xiaoming Liu, Nils Krahnstoever, Ting Yu, Peter Tu
    Proc. IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS 2007), London, UK, Sep. 2007 (Oral presentation)
    Bibtex | PDF
    • @inproceedings{ what-are-customers-looking-at,
      author = { Xiaoming Liu and Nils Krahnstoever and Ting Yu and Peter Tu },
      title = { What are Customers Looking at? },
      booktitle = { Proc. IEEE International Conference on Advanced Video and Signal-Based Surveillance },
      address = { London, UK },
      month = { September },
      year = { 2007 },
    }
  • Surveillance Video Analytics for Large Camera Networks
    Peter Tu, Fred Wheeler, Nils Krahnstoever, Thomas Sebastian, Jens Rittscher, Xiaoming Liu, Amitha Perera, Gianfranco Doretto
    (Invited paper)
    Bibtex
  • An Intelligent Video Framework for Homeland Protection
    Peter Tu, Gianfranco Doretto, Nils Krahnstoever, Amitha Perera, Frederick Wheeler, Xiaoming Liu, Jens Rittscher, Thomas Sebastian, Ting Yu, Kevin Harding
    Proc. SPIE Defence and Security Symposium - Unattended Ground, Sea, and Air Sensor Technologies and Applications IX, Orlando, FL, USA, Apr. 2007 (Invited paper)
    Bibtex
    • @inproceedings{ an-intelligent-video-framework-for-homeland-protection,
      author = { Peter Tu and Gianfranco Doretto and Nils Krahnstoever and Amitha Perera and Frederick Wheeler and Xiaoming Liu and Jens Rittscher and Thomas Sebastian and Ting Yu and Kevin Harding },
      title = { An Intelligent Video Framework for Homeland Protection },
      booktitle = { Proc. SPIE Defence and Security Symposium - Unattended Ground, Sea, and Air Sensor Technologies and Applications IX },
      address = { Orlando, FL, USA },
      month = { April },
      year = { 2007 },
    }

2005

  • Detecting And Counting People In Surveillance Applications
    Xiaoming Liu, Peter Tu, Jens Rittscher, Amitha Perera, Nils Krahnstoever
    Proc. IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS 2005), Como, Italy, Sep. 2005
    Bibtex | PDF
    • @inproceedings{ detecting-and-counting-people-in-surveillance-applications,
      author = { Xiaoming Liu and Peter Tu and Jens Rittscher and Amitha Perera and Nils Krahnstoever },
      title = { Detecting And Counting People In Surveillance Applications },
      booktitle = { Proc. IEEE International Conference on Advanced Video and Signal-Based Surveillance },
      address = { Como, Italy },
      month = { September },
      year = { 2005 },
    }