no code implementations • 22 May 2020 • Geonseok Seo, Jaeyoung Yoo, Jae-Seok Choi, Nojun Kwak
The learning of the region proposal in object detection using the deep neural networks (DNN) is divided into two tasks: binary classification and bounding box regression task.
no code implementations • 13 Jun 2019 • Jae-Seok Choi, Yongwoo Kim, Munchurl Kim
Our proposed S3 loss can be very effectively utilized for pan-sharpening with various types of CNN structures, resulting in significant visual improvements on PS images with suppressed artifacts.
no code implementations • 26 Nov 2018 • Simyung Chang, John Yang, Jae-Seok Choi, Nojun Kwak
We introduce the Genetic-Gated Networks (G2Ns), simple neural networks that combine a gate vector composed of binary genetic genes in the hidden layer(s) of networks.
no code implementations • 3 Oct 2018 • Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Liu Hanwen, Pablo Navarrete Michelini, Zhu Dan, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Nimisha Thekke Madam, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung
This paper reviews the first challenge on efficient perceptual image enhancement with the focus on deploying deep learning models on smartphones.
no code implementations • 7 Nov 2017 • Jae-Seok Choi, Munchurl Kim
To the best of our knowledge, we are the first to incorporate MU into SR applications and show promising performance results.
no code implementations • 5 Sep 2017 • Simyung Chang, Youngjoon Yoo, Jae-Seok Choi, Nojun Kwak
Our method learns hundreds to thousand times faster than the conventional methods by learning only a handful of core cluster information, which shows that deep RL agents can effectively learn through the shared knowledge from other agents.
1 code implementation • 17 Jul 2017 • Kyoungmin Lee, Jae-Seok Choi, Jisoo Jeong, Nojun Kwak
They are much faster than two stage detectors that use region proposal networks (RPN) without much degradation in the detection performances.