Jawadul H. Bappy
Research Scientist, JD.Com
Mountain View, CA
mbapp001@ucr.edu
papers: journal / conference
Connect: LinkedIn
UCR VCG / Resume /Google Scholar

About me

I received the Ph.D. degree in the department of electrical and computer engineering (ECE) from the University of California, Riverside (UCR) in 2018 under the supervision of Professor Amit K. Roy-Chowdhury. My research focuses on developing algorithms to help computers make a decision by exploiting computer vision and advanced machine learning. More specifically, I utilize advanced machine learning techniques/algorithms and information-theoretic approaches to solve various computer vision problems such as object recognition, scene understanding, active learning and identification of manipulated images. Before coming to UCR, I received my B.Sc. degree in electrical and electronic engineering from Bangladesh University of Engineering and Technology (BUET) in 2012.

Previously, I had the opportunity to work as a research intern at HomeUnion Inc. During my internship, I developed software to solve some computer vision problems such as object detection, scene classification, and anomaly detection applied to real estate images. Currently, I am working as a Research Scientist in the area of computer vision and advanced machine learning with applications of E-Commerce technology at JD.Com.

Research Interest

Computer Vision, deep generative models, media forensics, and advanced machine learning techniques for real-life applications.

Recent News

  A paper got accepted to IEEE Transactions on Image Processing
  A new dataset REI Scene has been released!

Journal papers

  • Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries
    J.H. Bappy, C. Simons, L. Nataraj, B.S. Manjunath, A.K. Roy-Chowdhury
    IEEE Transactions on Image Processing (TIP), 2019
    [Code]
  • Distributed Multi-target Tracking and Data Association in Vision Networks
    A.T. Kamal, J.H. Bappy, J.A. Farrell, A.K. Roy-Chowdhury
    IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2016
    [Code] [Project Page] [BibTex]
  • Opportunistic Image Acquisition of Individual and Group Activities in a Distributed Camera Network
    C. Ding, J.H. Bappy, J.A. Farrell, A.K. Roy-Chowdhury
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2016
  • Conference papers

  •   Exploiting Spatial Structure for Localizing Manipulated Image Regions
    J.H. Bappy, A.K. Roy-Chowdhury, J. Bunk, L. Nataraj, and B.S. Manjunath
    International Conference on Computer Vision (ICCV), 2017.
  •   The Impact of Typicality for Informative Representative Selection
    J.H. Bappy, S. Paul, E. Tuncel, A.K. Roy-Chowdhury
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2017.
  • Non-Uniform Subset Selection for Active Learning in Structured Data
    S. Paul, J.H. Bappy, A.K. Roy-Chowdhury
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2017.
    [Code]
  •   Boosting image forgery detection using resampling features and copy-move analysis
    T. Mohammed, J. Bunk, L. Nataraj, J.H. Bappy, A. Flenner, B.S. Manjunath, S. Chandrasekaran, A. Roy-Chowdhury, L. Peterson
    Electronic Imaging Symposium on Media Watermarking, Security, and Forensics, 2018.
  • Detection and Localization of Image Forgeries using Resampling Features and Deep Learning
    J. Bank, J.H. Bappy, T. Mohammad, L. Nataraj, A. Flenner, B. Manjunath, S. Chandrasekaran, A. Roy-Chowdhury, L. Peterson
    CVPR Workshop on Media Forensic, 2017.
  • Real Estate Image Classification
    J.H. Bappy, J. Barr, N. Srinivasan, A.K. Roy-Chowdhury
    IEEE Winter Conference on Applications of Computer Vision (WACV), 2017.
    [Slides] [REI Scene Dataset]
  • Online Adaptation for Joint Scene and Object Classification
    J.H. Bappy, S. Paul, A.K. Roy-Chowdhury
    European Conf. on Computer Vision (ECCV), 2016.
  • Inter-dependent CNNs for Joint Scene and Object Recognition
    J.H. Bappy, A.K. Roy-Chowdhury
    International Conf. on Pattern Recognition, 2016. (Oral)
    [Slides]
  • CNN Based Region Proposals for Efficient Object Detection
    J.H. Bappy, A.K. Roy-Chowdhury
    IEEE International Conf. on Image Processing (ICIP), 2016.
  • Efficient Selection of Informative and Diverse Training Samples with Applications in Scene Classification
    S. Paul, J.H. Bappy, A.K. Roy-Chowdhury
    IEEE International Conf. on Image Processing (ICIP), 2016. (Oral)
  • Data

    REI Scene Dataset has been presented in this Image Classification paper. The data can only be used for research purposes. Please follow the ReadMe file for detailed instructions.


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