no code implementations • 13 Dec 2024 • Jongmin Park, Minh-Quan Viet Bui, Juan Luis Gonzalez Bello, Jaeho Moon, Jihyong Oh, Munchurl Kim
Synthesizing novel views from in-the-wild monocular videos is challenging due to scene dynamics and the lack of multi-view cues.
no code implementations • 18 Nov 2024 • Jongmin Park, SeungHoon Han, Jong-Ryul Lee, Sungsu Lim
However, despite heterogeneous graphs inherently possessing diverse power-law structures, most hyperbolic heterogeneous graph embedding models use a single hyperbolic space for the entire heterogeneous graph, which may not effectively capture the diverse power-law structures within the heterogeneous graph.
no code implementations • 15 Apr 2024 • Jongmin Park, SeungHoon Han, Soohwan Jeong, Sungsu Lim
Most previous heterogeneous graph embedding models represent elements in a heterogeneous graph as vector representations in a low-dimensional Euclidean space.
no code implementations • 21 Dec 2023 • Minh-Quan Viet Bui, Jongmin Park, Jihyong Oh, Munchurl Kim
In response, we propose a novel dynamic deblurring NeRF framework for blurry monocular video, called DyBluRF, consisting of a Base Ray Initialization (BRI) stage and a Motion Decomposition-based Deblurring (MDD) stage.
no code implementations • ICCV 2023 • Jongmin Park, Jooyoung Lee, Munchurl Kim
Recently, neural network (NN)-based image compression studies have actively been made and has shown impressive performance in comparison to traditional methods.
1 code implementation • 17 Dec 2022 • Jun-Gi Jang, Sooyeon Shim, Vladimir Egay, Jeeyong Lee, Jongmin Park, Suhyun Chae, U Kang
How can we accurately identify new memory workloads while classifying known memory workloads?
no code implementations • 24 Sep 2020 • Sanghyun Kim, Jongmin Park, Jae-Kwan Yun, Jiwon Seo
In this study, we applied reinforcement learning based on the proximal policy optimization algorithm to perform motion planning for an unmanned aerial vehicle (UAV) in an open space with static obstacles.
no code implementations • 24 Sep 2020 • Halim Lee, Ali A. Abdallah, Jongmin Park, Jiwon Seo, Zaher M. Kassas
The results show a receiver navigating for 100 m in an indoor environment, while receiving signals from one LTE eNodeB.
no code implementations • 24 Sep 2020 • Jongmin Park, Pyo-Woong Son, Woohyun Kim, Joon Hyo Rhee, Jiwon Seo
The widely used global navigation satellite systems (GNSSs) are vulnerable to radio frequency interference (RFI).
no code implementations • 7 May 2020 • Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Jing Liu, Haiyan Wu, Yuan Xie, Yanyun Qu, Lizhuang Ma, Ziling Huang, Qili Deng, Ju-Chin Chao, Tsung-Shan Yang, Peng-Wen Chen, Po-Min Hsu, Tzu-Yi Liao, Chung-En Sun, Pei-Yuan Wu, Jeonghyeok Do, Jongmin Park, Munchurl Kim, Kareem Metwaly, Xuelu Li, Tiantong Guo, Vishal Monga, Mingzhao Yu, Venkateswararao Cherukuri, Shiue-Yuan Chuang, Tsung-Nan Lin, David Lee, Jerome Chang, Zhan-Han Wang, Yu-Bang Chang, Chang-Hong Lin, Yu Dong, Hong-Yu Zhou, Xiangzhen Kong, Sourya Dipta Das, Saikat Dutta, Xuan Zhao, Bing Ouyang, Dennis Estrada, Meiqi Wang, Tianqi Su, Siyi Chen, Bangyong Sun, Vincent Whannou de Dravo, Zhe Yu, Pratik Narang, Aryan Mehra, Navaneeth Raghunath, Murari Mandal
We focus on the proposed solutions and their results evaluated on NH-Haze, a novel dataset consisting of 55 pairs of real haze free and nonhomogeneous hazy images recorded outdoor.