• N. Hayatbini, B. Kong, K. Hsu, P. Nguyen, S. Sorooshian, G. Stephens, C.C. Fowlkes, R. Nemani, S. Ganguly, "Conditional Generative Adversarial Networks (cGANs) for Near Real-Time Precipitation Estimation from Multispectral GOES-16 Satellite Imageries—PERSIANN-cGAN," Remote Sensing, 20 Sept. 2019.  pdf
  • B. Kong, J. Supančič, D. Ramanan, C.C. Fowlkes, "Cross-Domain Image Matching with Deep Feature Maps," International Journal of Computer Vision (IJCV), 4 Jan. 2019.  final | preprint
  • B. Kong, "Learning Robust Features and Metrics for Image Classification and Matching," PhD Thesis, Dec. 2018.  pdf | slides
  • B. Kong, C.C. Fowlkes, "Energy-Based Spherical Sparse Coding," arXiv, Oct. 2017.  pdf
  • B. Kong, J. Supančič, D. Ramanan, C.C. Fowlkes, "Cross-Domain Forensic Shoeprint Matching," British Machine Vision Conference (BMVC), 2017.
    ** awarded Best Industrial Paper Honourable Mention for most demonstrable impact or potential in industrial applications **
    pdf | poster | slides | video
  • B. Kong, C.C. Fowlkes, "Fast Convolutional Sparse Coding," UCI Technical Report, May 2014.
    pdf | code
  • H.T. Nguyen, J. Yadegar, B. Kong, H. Wei, "Efficient batch-mode active learning of random forest," Statistical Signal Processing Workshop (SSP), 2012 IEEE, pp.596-599, 5-8 Aug. 2012.

Other Writing Samples

  • B. Kong, 「人工知能に対する人間の恐れ」 International Christian University, 2009.  pdf