Chen Chen

      Assistant Professor


      Office: EPIC 2337
      Email: chen.chen@uncc.edu
      Phone: 704-687-8416
      [ CV ]     [ Google Scholar ]

  • Dr. Chen Chen is currently an assistant professor in the Department of Electrical and Computer Engineering at UNC-Charlotte. His main research interests are in the area of computer vision, image and video processing, and machine learning.

  • He held a Postdoctoral Research Associate position at Dr. Mubarak Shah's Center for Research in Computer Vision (CRCV), University of Central Florida, from July 2016 to June 2018.

  • He received the Ph.D. degree in Electrical Engineering at The University of Texas at Dallas in May 2016. His advisor is Dr. Nasser Kehtarnavaz. His co-advisor is Dr. Roozbeh Jafari at Texas A&M University. He received the M.S. degree in Electrical Engineering from Mississippi State University in 2012. His thesis advisor is Dr. James E. Fowler.

  • He received the David Daniel Fellowship Award (Best Doctoral Dissertation Award for ECS) from University of Texas at Dallas in 2016.

  • He is an Associate Editor for the following journals:

  • Contact

    Electrical and Computer Engineering
    The William States Lee College of Engineering
    University of North Carolina at Charlotte
    Office: EPIC 2337
    8700 Phillips Rd, Charlotte, NC 28223
    E-mail: chen.chen@uncc.edu



    (Template inspired from Deng Jia's Webpage)


    Open Positions (Spring/Fall 2020)

    I am actively looking for self-motivated undergraduate/graduate students and visiting students/scholars to join my research group. Feel free to contact me with your CV (PDF format) if you have a background in one or more of the following areas — computer vision, image and video processing, deep learning.
    For prospective PhD students, you will find PhD application information here.

    Call for Papers

  • Pattern Recognition Letters (IF = 2.810) — Special issue on Cross-Media Learning for Visual Question Answering (VQA)
  • Remote Sensing (IF = 4.118) — Special Issue: Joint Artificial Intelligence and Computer Vision Applications in Remote Sensing
  • Remote Sensing — Special Issue: Robust Multispectral/Hyperspectral Image Analysis and Classification
  • Remote Sensing — Special Issue: Dimensionality Reduction for Hyperspectral Imagery Analysis
  • Sensors (IF = 3.031) — Special Issue: Sensors Signal Processing and Visual Computing, 2019
  • Sensors — Special Issue: Semantic Representations for Behavior Analysis in Robotic system

  • News

    - 08/2019: I will serve as a PC member for AAAI 2020, New York.
    - 07/2019: Received a National Science Foundation (NSF) CNS Core award.
    - 07/2019: New dataset released! Satellite Smoke Scene Detection Dataset
    - 06/2019: One paper is accepted to MICCAI 2019. (top conference in medical image analysis)
    - 06/2019: One paper is accepted to BMVC 2019.
    - 02/2019: I will serve as an Area Chair (AC) for ACM Multimedia 2019, Nice, France.
    - 01/2019: Welcome Sijie Zhu and Taojiannan Yang to join our lab as PhD students starting Spring 2019.
    - 01/2019: Thanks Google for the $5,000 research credits on the Google Cloud Platform.
    - 12/2018: Thanks NVIDIA for donating a Titan V GPU to our lab.
    - 12/2018: One journal paper is accepted by IEEE TNNLS.
    - 10/2018: Two papers are accepted by AAAI 2019 (acceptance rate: 1150/7095 = 16.2%).
    - 08/2018: Serving as a member of the Program Committee of AAAI 2019, Hawaii.
    - 05/2018: I will serve as an Area Chair (AC) for WACV 2019, Hawaii.
    - 05/2018: Our patent "Wearable medication adherence monitoring" is granted! US Patent #: US9971874B2
    - 04/2018: One paper is accepted to IJCAI 2018. (top conference in AI)
    - 03/2018: One paper is accepted to CVPR 2018. (top conference in CV)
    - 02/2018: Serving as a member of the Program Committee of ECCV 2018.

    Recent Papers

    3D Dilated Multi-Fiber Network for Real-time Brain Tumor Segmentation in MRI
    Chen Chen, Xiaopeng Liu, Meng Ding, Junfeng Zheng, Jiangyun Li
    International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.
    [ Paper ] [ Code ]

    Joint Dynamic Pose Image and Space Time Reversal for Human Action Recognition from Videos
    Mengyuan Liu, Fanyang Meng, Chen Chen, Songtao Wu
    33rd AAAI Conference on Artificial Intelligence (AAAI), 2019 (Oral)
    [ Paper ]

    Calibrated Stochastic Gradient Descent for Convolutional Neural Networks
    Li'an Zhuo, Baochang Zhang, Chen Chen, David Doermann, Jianzhuang Liu, Qixiang Ye
    33rd AAAI Conference on Artificial Intelligence (AAAI), 2019
    [ Paper ]

    Gabor Convolutional Networks
    Shangzhen Luan, Chen Chen, Baochang Zhang, Jungong Han, Jianzhuang Liu
    IEEE Transactions on Image Processing (TIP), 2018
    [ Paper ] [ Code ]

    Memory Attention Networks for Skeleton-based Action Recognition
    Chunyu Xie, Ce Li, Baochang Zhang, Chen Chen, Jungong Han, Changqing Zou, Jianzhuang Liu
    International Joint Conference on Artificial Intelligence (IJCAI), 2018
    [ Paper ]

    Real-world Anomaly Detection in Surveillance Videos
    Waqas Sultani, Chen Chen, Mubarak Shah
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
    [ Paper ] [ Project Website (New Anomaly Detection Dataset) ]
    [Download the dataset]
    (Note: The "Anomaly_Train.txt" file in the zip file is corrupted, please download it here: Anomaly_Train.txt)

    Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos
    Rui Hou, Chen Chen, Mubarak Shah
    International Conference on Computer Vision (ICCV), 2017
    [ Paper ] [ Project Website ] [ Code ]

    An End-to-end 3D Convolutional Neural Network for Action Detection and Segmentation in Videos
    Rui Hou, Chen Chen, Mubarak Shah
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), in revision
    [ Paper ] [ Project Website ]

    Cross-View Image Matching for Geo-localization in Urban Environments
    Yicong Tian, Chen Chen, Mubarak Shah
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
    [ Paper ] [ Project Website (Cross-view dataset and code) ]

    Binary Coding for Partial Action Analysis with Limited Observation Ratios
    Jie Qin, Li Liu, Ling Shao, Bingbing Ni, Chen Chen, Fumin Shen, Yunhong Wang
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
    [ Paper ]

    more...