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Jae Hyeon Park
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2020 – today
- 2024
- [j12]Yong-Gyun Kim, Sungjoon Kim, Jae Hyeon Park, Seung Yang, Minkyu Jang, Yeo Joon Yun, Jae-sung Cho, Sungmin You, Seong-Ho Jang:
Explainable Deep-Learning-Based Gait Analysis of Hip-Knee Cyclogram for the Prediction of Adolescent Idiopathic Scoliosis Progression. Sensors 24(14): 4504 (2024) - [j11]Eun Su Kang, Yeon Jeong Chae, Jae Hyeon Park, Sung In Cho:
DCID: A divide and conquer approach to solving the trade-off problem between artifacts caused by enhancement procedure in image downscaling. Signal Process. Image Commun. 126: 117133 (2024) - [c6]Jae Hyeon Park, Gyoomin Lee, Seunggi Park, Sung In Cho:
Not All Classes Stand on Same Embeddings: Calibrating a Semantic Distance with Metric Tensor. CVPR 2024: 17722-17731 - 2023
- [j10]Jae Hyeon Park, Ju Hyun Kim, Ba Hung Ngo, Jung Eun Kwon, Sung In Cho:
Adversarial representation teaching with perturbation-agnostic student-teacher structure for semi-supervised learning. Appl. Intell. 53(22): 26797-26809 (2023) - [j9]Ba Hung Ngo, Yeon Jeong Chae, Jae Hyeon Park, Ju Hyun Kim, Sung In Cho:
Easy-to-Hard Structure for Remote Sensing Scene Classification in Multitarget Domain Adaptation. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [c5]Ba Hung Ngo, Yeon Jeong Chae, Jung Eun Kwon, Jae Hyeon Park, Sung In Cho:
Improved Knowledge Transfer for Semi-supervised Domain Adaptation via Trico Training Strategy. ICCV 2023: 19157-19166 - 2022
- [j8]Jigang Kim, Jae Hyeon Park, Daesol Cho, H. Jin Kim:
Automating Reinforcement Learning With Example-Based Resets. IEEE Robotics Autom. Lett. 7(3): 6606-6613 (2022) - [c4]Ju Hyun Kim, Ba Hung Ngo, Jae Hyeon Park, Jung Eun Kwon, Ho Sub Lee, Sung In Cho:
Distilling and Refining Domain-Specific Knowledge for Semi-Supervised Domain Adaptation. BMVC 2022: 606 - [i1]Jigang Kim, Jae Hyeon Park, Daesol Cho, H. Jin Kim:
Automating Reinforcement Learning with Example-based Resets. CoRR abs/2204.02041 (2022) - 2021
- [j7]Ba Hung Ngo, Jae Hyeon Park, So Jeong Park, Sung In Cho:
Semi-Supervised Domain Adaptation Using Explicit Class-Wise Matching for Domain-Invariant and Class-Discriminative Feature Learning. IEEE Access 9: 128467-128480 (2021) - [j6]Jae Hyeon Park, Sung In Cho:
Flow analysis-based fast-moving flow calibration for a people-counting system. Multim. Tools Appl. 80(21): 31671-31685 (2021) - [j5]Sung In Cho, Jae Hyeon Park, Suk-Ju Kang:
A Generative Adversarial Network-Based Image Denoiser Controlling Heterogeneous Losses. Sensors 21(4): 1191 (2021) - [j4]Jae Hyeon Park, Hyeon Seong Kim, Seong Ho Jang, Dong Jin Hyun, Sang In Park, JuYoung Yoon, Hyunseop Lim, Mi Jung Kim:
Cardiorespiratory Responses to 10 Weeks of Exoskeleton-Assisted Overground Walking Training in Chronic Nonambulatory Patients with Spinal Cord Injury. Sensors 21(15): 5022 (2021) - [j3]Ho Seok Lee, Hokyoung Ryu, Shi-Uk Lee, Jae-sung Cho, Sungmin You, Jae Hyeon Park, Seong-Ho Jang:
Analysis of Gait Characteristics Using Hip-Knee Cyclograms in Patients with Hemiplegic Stroke. Sensors 21(22): 7685 (2021) - [c3]Jae Hyeon Park, Sungyong Park, H. Jin Kim:
Model-based Domain Randomization of Dynamics System with Deep Bayesian Locally Linear Embedding. ICRA 2021: 4223-4229 - 2020
- [j2]Jae Hyeon Park, Jigang Kim, Youngseok Jang, Inkyu Jang, H. Jin Kim:
Learning Transformable and Plannable se(3) Features for Scene Imitation of a Mobile Service Robot. IEEE Robotics Autom. Lett. 5(2): 1664-1671 (2020)
2010 – 2019
- 2018
- [c2]Jae Hyeon Park, Jeong Hyeon Kim, Sung In Cho:
The Analysis of CNN Structure for Image Denoising. ISOCC 2018: 220-221 - [c1]Jeong Hyeon Kim, Jae Hyeon Park, Sung In Cho:
Optimized Image Crop-based Video Retargeting. ISOCC 2018: 224-225 - 2017
- [j1]Abdul Rahim Ferhan, Gamaliel Junren Ma, Joshua A. Jackman, Tun Naw Sut, Jae Hyeon Park, Nam-Joon Cho:
Probing the Interaction of Dielectric Nanoparticles with Supported Lipid Membrane Coatings on Nanoplasmonic Arrays. Sensors 17(7): 1484 (2017)
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last updated on 2024-10-07 22:13 CEST by the dblp team
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