Jawadul H. Bappy
PhD Candidate
Department of ECE
University of California
Riverside, CA
mbapp001@ucr.edu
papers: journal / conference
Connect: LinkedIn
UCR VCG / Resume /Google Scholar

About me

I am currently working toward Ph.D. degree in the department of electrical and computer engineering (ECE) at University of California, Riverside (UCR) under the supervision of Professor Amit K. Roy-Chowdhury. My main research interests focus on scene understanding, object recognition, machine learning and vision sensor network.

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. 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.

Research Interest

Computer Vision and Image Processing, Scene Classification and Object Recognition, Machine Learning and Deep Learning, Vision Sensor Network.

Recent News

  [New*] A paper got accepted to ICCV'17
  [New*] A paper got accepted to CVPR Workshop on Media Forensic'17
  [New*] Two papers have been accepted to CVPR'17
  A paper got accepted to WACV'17
  A paper titled Online Adaptation for Joint Scene and Object Classification got accepted to ECCV'16

Journal papers

  • 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 (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, 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 (accepted).
  •   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.
  • 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]
  • 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)

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