Projects

  1. summary image

    Face Anti-spoofing, Face Presentation Attack Detection

    Yaojie Liu, Joel Stehouwer, Amin Jourabloo, Yousef Atoum, Xiaoming Liu

    Biometrics utilize physiological, such as fingerprint, face, and iris, or behavioral characteristics, such as typing rhythm and gait, to uniquely identify or authenticate an individual. As biometric systems are widely used in real-world applications including mobile phone authentication and access control, biometric spoof, or Presentation Attack (PA) are becoming a ...

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    Keywords: Face Antispoofing, Biometrics, Low-level Vision, Database

  2. summary image

    Gait Recognition via Disentangled Representation Learning

    Ziyuan Zhang, Luan Tran, Xi Yin, Yousef Atoum, Xiaoming Liu, Jian Wan, Nanxin Wang

    Gait, the walking pattern of individuals, is one of the most important biometrics modalities. Most of the existing gait recognition methods take silhouettes or articulated body models as the gait features. These methods suffer from degraded recognition performance when handling confounding variables, such as clothing, carrying and view angle. To ...

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    Keywords: Biometrics, Gait Recognition, Database

  3. 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 ...

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

  4. summary image

    Monocular Video-Based Trailer Coupler Detection using Multiplexer Convolutional Neural Network

    Yousef Atoum, Joseph Roth, Michael Bliss, Wende Zhang, Xiaoming Liu

    This paper presents a monocular camera-based computer vision system for autonomous selfbacking-up a vehicle towards a trailer, by continuously estimating the 3D trailer coupler position and feeding it to the vehicle control system, until the alignment of the tow hitch with the trailers coupler. This system is made possible through ...

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    Keywords: Application, Object Detection

  5. summary image

    Temporally Robust Global Motion Compensation by Keypoint-based Congealing

    Seyed Morteza Safdarnejad, Yousef Atoum, Xiaoming Liu

    Global motion compensation (GMC) removes the impact of camera motion and creates a video in which the background appears static over the progression of time. Various vision problems, such as human activity recognition, background reconstruction, and multi-object tracking can benefit from GMC. Existing GMC algorithms rely on sequentially processing consecutive ...

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    Keywords: Motion Compensation, Activity Recognition

  6. summary image

    On developing and enhancing plant-level disease rating systems in real fields

    Yousef Atoum, Muhammad Jamal Afridi, Xiaoming Liu, J. Mitchell McGrath, Linda E. Hanson

    Cercospora leaf spot (CLS) is one of the most serious diseases of sugar beet worldwide, and if uncontrolled, causes nearly complete defoliation and loss of revenue for beet growers. The beet sugar industry continuously seeks CLS-resistant sugar beet cultivars as one strategy to combat this disease. Normally human experts manually ...

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    Keywords: Application, Plant Vision

Publications

2020

  • Color-wise Attention Network for Low-light Image Enhancement
    Yousef Atoum, Mao Ye, Liu Ren, Ying Tai, Xiaoming Liu
    In Proceeding of IEEE Computer Vision and Pattern Recognition Workshop (CVPRW 2020), Seattle, WA, Jun. 2020
    Bibtex | PDF | arXiv | Code | Dataset
  • @inproceedings{ color-wise-attention-network-for-low-light-image-enhancement,
      author = { Yousef Atoum and Mao Ye and Liu Ren and Ying Tai and Xiaoming Liu },
      title = { Color-wise Attention Network for Low-light Image Enhancement },
      booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition Workshop },
      address = { Seattle, WA },
      month = { June },
      year = { 2020 },
    }

2019

  • Presentation Attack Detection for Face in Mobile Phones
    Yaojie Liu, Joel Stehouwer, Amin Jourabloo, Yousef Atoum, Xiaoming Liu
    Selfie Biometrics, Ajita Rattani, Reza Derakhshani and Arun Ross, Eds., Springer, 2019
    Bibtex | PDF | Project Webpage
  • @incollection{ presentation-attack-detection-for-face-in-mobile-phones,
      author = { Yaojie Liu and Joel Stehouwer and Amin Jourabloo and Yousef Atoum and Xiaoming Liu },
      title = { Presentation Attack Detection for Face in Mobile Phones },
      in book chapter of = { Selfie Biometrics },
      publisher = { Springer },
      editor = { Ajita Rattani, Reza Derakhshani and Arun Ross },
      year = { 2019 },
    }
  • Gait Recognition via Disentangled Representation Learning
    Ziyuan Zhang, Luan Tran, Xi Yin, Yousef Atoum, Jian Wan, Nanxin Wang, Xiaoming Liu
    In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, Jun. 2019 (Oral presentation)
    Bibtex | PDF | arXiv | Project Webpage | Code
  • @inproceedings{ gait-recognition-via-disentangled-representation-learning,
      author = { Ziyuan Zhang and Luan Tran and Xi Yin and Yousef Atoum and Jian Wan and Nanxin Wang and Xiaoming Liu },
      title = { Gait Recognition via Disentangled Representation Learning },
      booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
      address = { Long Beach, CA },
      month = { June },
      year = { 2019 },
    }

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

  • Monocular Video-Based Trailer Coupler Detection using Multiplexer Convolutional Neural Network
    Yousef Atoum, Joseph Roth, Michael Bliss, Wende Zhang, Xiaoming Liu
    In Proceeding of International Conference on Computer Vision (ICCV 2017), Venice, Italy, Oct. 2017
    Bibtex | PDF | Project Webpage
  • @inproceedings{ monocular-video-based-trailer-coupler-detection-using-multiplexer-convolutional-neural-network,
      author = { Yousef Atoum and Joseph Roth and Michael Bliss and Wende Zhang and Xiaoming Liu },
      title = { Monocular Video-Based Trailer Coupler Detection using Multiplexer Convolutional Neural Network },
      booktitle = { In Proceeding of International Conference on Computer Vision },
      address = { Venice, Italy },
      month = { October },
      year = { 2017 },
    }
  • Face Anti-Spoofing Using Patch and Depth-based CNNs
    Yousef Atoum, Yaojie Liu, Amin Jourabloo, Xiaoming Liu
    In Proceeding of International Joint Conference on Biometrics (IJCB 2017), Denver, CO, Oct. 2017
    Bibtex | PDF | Poster | Project Webpage
  • @inproceedings{ face-anti-spoofing-using-patch-and-depth-based-cnns,
      author = { Yousef Atoum and Yaojie Liu and Amin Jourabloo and Xiaoming Liu },
      title = { Face Anti-Spoofing Using Patch and Depth-based CNNs },
      booktitle = { In Proceeding of International Joint Conference on Biometrics },
      address = { Denver, CO },
      month = { October },
      year = { 2017 },
    }

2016

  • Temporally Robust Global Motion Compensation by Keypoint-based Congealing
    Seyed Morteza Safdarnejad, Yousef Atoum, Xiaoming Liu
    Proc. European Conference on Computer Vision (ECCV 2016), Amsterdam, The Netherlands, Oct. 2016
    Bibtex | PDF | Project Webpage | Code
  • @inproceedings{ temporally-robust-global-motion-compensation-by-keypoint-based-congealing,
      author = { Seyed Morteza Safdarnejad and Yousef Atoum and Xiaoming Liu },
      title = { Temporally Robust Global Motion Compensation by Keypoint-based Congealing },
      booktitle = { Proc. European Conference on Computer Vision },
      address = { Amsterdam, The Netherlands },
      month = { October },
      year = { 2016 },
    }

2015

  • Automated Online Exam Proctoring
    Yousef Atoum, Liping Chen, Alex X. Liu, Stephen D. H. Hsu, Xiaoming Liu
    IEEE Transactions on Multimedia, Vol. 19, No. 7, pp.1609-1624, , Dec. 2015 (Accepted)
    Bibtex | PDF | Poster | Project Webpage
  • @article{ automated-online-exam-proctoring,
      author = { Yousef Atoum and Liping Chen and Alex X. Liu and Stephen D. H. Hsu and Xiaoming Liu },
      title = { Automated Online Exam Proctoring },
      journal = { IEEE Transactions on Multimedia },
      volume = { 19 },
      number = { 7 },
      month = { December },
      year = { 2015 },
      pages = { 1609--1624 },
    }
  • On Developing and Enhancing Plant-Level Disease Rating Systems in Real Fields
    Yousef Atoum, Muhammad Jamal Afridi, Xiaoming Liu, J. Mitchell McGrath, Linda E. Hanson
    Pattern Recognition, Vol. 53, pp.287-299, , Dec. 2015
    Bibtex | PDF | Project Webpage
  • @article{ on-developing-and-enhancing-plant-level-disease-rating-systems-in-real-fields,
      author = { Yousef Atoum and Muhammad Jamal Afridi and Xiaoming Liu and J. Mitchell McGrath and Linda E. Hanson },
      title = { On Developing and Enhancing Plant-Level Disease Rating Systems in Real Fields },
      journal = { Pattern Recognition },
      volume = { 53 },
      month = { December },
      year = { 2015 },
      pages = { 287--299 },
    }
  • Automatic Feeding Control for Dense Aquaculture Fish Tanks
    Yousef Atoum, Steven Srivastava, Xiaoming Liu
    IEEE Signal Processing Letters, Vol. 22, No. 8, pp.1089-1093, , Aug. 2015
    Bibtex | PDF
  • @article{ automatic-feeding-control-for-dense-aquaculture-fish-tanks,
      author = { Yousef Atoum and Steven Srivastava and Xiaoming Liu },
      title = { Automatic Feeding Control for Dense Aquaculture Fish Tanks },
      journal = { IEEE Signal Processing Letters },
      volume = { 22 },
      number = { 8 },
      month = { August },
      year = { 2015 },
      pages = { 1089--1093 },
    }