2 code implementations • 6 Apr 2024 • Yeda Song, Dongwook Lee, Gunhee Kim
Our COCOA seeks both in-distribution anchors and differences by utilizing the learned reverse dynamics model, encouraging conservatism in the compositional input space for the policy or value function.
no code implementations • 6 Mar 2024 • Gyusam Chang, Wonseok Roh, Sujin Jang, Dongwook Lee, Daehyun Ji, Gyeongrok Oh, Jinsun Park, Jinkyu Kim, Sangpil Kim
Recent LiDAR-based 3D Object Detection (3DOD) methods show promising results, but they often do not generalize well to target domains outside the source (or training) data distribution.
no code implementations • 21 Aug 2023 • Dongwook Lee, Wonjun Choi, Seohyung Lee, ByungIn Yoo, Eunho Yang, Seongju Hwang
An effective method to tackle these challenges is template update, which updates the template to reflect the change of appearance in the target object during tracking.
no code implementations • CVPR 2021 • Jaehyoung Yoo, Dongwook Lee, Changyong Son, Sangil Jung, ByungIn Yoo, Changkyu Choi, Jae-Joon Han, Bohyung Han
RaScaNet reads only a few rows of pixels at a time using a convolutional neural network and then sequentially learns the representation of the whole image using a recurrent neural network.
1 code implementation • 7 May 2020 • Steven I Reeves, Dongwook Lee, Anurag Singh, Kunal Verma
Optical Character Recognition and extraction is a key tool in the automatic evaluation of documents in a financial context.
Optical Character Recognition Optical Character Recognition (OCR)
no code implementations • CVPR 2019 • Dongwook Lee, Junyoung Kim, Won-Jin Moon, Jong Chul Ye
In many applications requiring multiple inputs to obtain a desired output, if any of the input data is missing, it often introduces large amounts of bias.
2 code implementations • 10 May 2019 • Dongwook Lee, Won-Jin Moon, Jong Chul Ye
Thanks to the recent success of generative adversarial network (GAN) for image synthesis, there are many exciting GAN approaches that successfully synthesize MR image contrast from other images with different contrasts.
1 code implementation • 28 Jan 2019 • Dongwook Lee, Junyoung Kim, Won-Jin Moon, Jong Chul Ye
In many applications requiring multiple inputs to obtain a desired output, if any of the input data is missing, it often introduces large amounts of bias.
no code implementations • 2 Apr 2018 • Dongwook Lee, Jaejun Yoo, Sungho Tak, Jong Chul Ye
The proposed deep residual learning networks are composed of magnitude and phase networks that are separately trained.
no code implementations • 3 Mar 2017 • Dongwook Lee, Jaejun Yoo, Jong Chul Ye
Furthermore, the computational time is by order of magnitude faster.