Conditional generative adversarial networks (cGANs) for near real-time precipitation estimation from multispectral GOES-16 satellite imageries—PERSIANN-cGAN N Hayatbini, B Kong, K Hsu, P Nguyen, S Sorooshian, G Stephens, ... Remote Sensing 11 (19), 2193, 2019 | 65 | 2019 |
Cross-domain image matching with deep feature maps B Kong, J Supanc̆ic̆ III, D Ramanan, CC Fowlkes International Journal of Computer Vision 127 (11), 1738-1750, 2019 | 57 | 2019 |
Fast convolutional sparse coding (FCSC) B Kong, CC Fowlkes Department of Computer Science, University of California, Irvine, Tech. Rep 3, 2014 | 45 | 2014 |
Cross-domain forensic shoeprint matching B Kong, J Supanc̆ic̆, D Ramanan, CC Fowlkes British Machine Vision Conference (BMVC), 2017 | 35 | 2017 |
Creating a Forensic Database of Shoeprints from Online Shoe-Tread Photos S Shafique, B Kong, S Kong, C Fowlkes Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 7 | 2023 |
A Deep Learning Framework for Precipitation Estimation from GOES-16 multispectral satellite imagery-Application of the conditional Generative Adversarial Networks (cGANs) N Hayatbini, B Kong, KL Hsu, P Nguyen, S Sorooshian, GL Stephens AGU Fall Meeting Abstracts 2019, H31P-1978, 2019 | 2 | 2019 |
Application of Generative Adversarial Networks (GANs) for Precipitation Forecasting N Hayatbini, L Delle Monache, B Kong, F Cannon, W Chapman, ... AGU Fall Meeting Abstracts 2020, A043-0008, 2020 | 1 | 2020 |
Energy-based spherical sparse coding B Kong, CC Fowlkes arXiv preprint arXiv:1710.01820, 2017 | 1 | 2017 |
ShoeRinsics: Shoeprint Prediction for Forensics with Intrinsic Decomposition. S Shafique, B Kong, S Kong, CC Fowlkes CoRR, 2022 | | 2022 |
Learning Robust Features and Metrics for Image Classification and Matching B Kong University of California, Irvine, 2018 | | 2018 |
Creating a Forensic Database of Shoeprints from Online Shoe Tread Photos (Supplementary Material) S Shafique, B Kong, S Kong, C Fowlkes | | |
Supplementary Material: Cross-Domain Forensic Shoeprint Matching B Kong, D Ramanan, C Fowlkes | | |