Hyo Jin Kim

According to our database, Hyo Jin Kim authored at least 17 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Automated Detection of Sleep Apnea-Hypopnea Events Based on 60 GHz Frequency-Modulated Continuous-Wave Radar Using Convolutional Recurrent Neural Networks: A Preliminary Report of a Prospective Cohort Study.

Jae Won Choi, Dong Hyun Kim, Dae Lim Koo, Yangmi Park, Hyunwoo Nam, Ji Hyun Lee, Hyo Jin Kim, Seung-No Hong, Gwangsoo Jang, Sungmook Lim, Baekhyun Kim

Sensors, 2022

Verifiable Access Control for Augmented Reality Localization and Mapping.

Shaowei Zhu, Hyo Jin Kim, Maurizio Monge, G. Edward Suh, Armin Alaghi, Brandon Reagen, Vincent T. Lee

CoRR, 2022

Implicit Map Augmentation for Relocalization.

Yuxin Hou, Tianwei Shen, Tsun-Yi Yang, Daniel DeTone, Hyo Jin Kim, Chris Sweeney, Richard A. Newcombe

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning.

Tony Ng, Hyo Jin Kim, Vincent T. Lee, Daniel DeTone, Tsun-Yi Yang, Tianwei Shen, Eddy Ilg, Vassileios Balntas, Krystian Mikolajczyk, Chris Sweeney

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors.

Deeksha Dangwal, Vincent T. Lee, Hyo Jin Kim, Tianwei Shen, Meghan Cowan, Rajvi Shah, Caroline Trippel, Brandon Reagen, Timothy Sherwood, Vasileios Balntas, Armin Alaghi, Eddy Ilg

CoRR, 2021

Multiple-Clothing Detection and Fashion Landmark Estimation Using a Single-Stage Detector.

Hyo Jin Kim, Doo Hee Lee, Asim Niaz, Chan Yong Kim, Asif Aziz Memon, Kwang Nam Choi

IEEE Access, 2021

Mitigating Reverse Engineering Attacks on Local Feature Descriptors.

Deeksha Dangwal, Vincent T. Lee, Hyo Jin Kim, Tianwei Shen, Meghan Cowan, Rajvi Shah, Caroline Trippel, Brandon Reagen, Timothy Sherwood, Vasileios Balntas, Armin Alaghi, Eddy Ilg

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Domain Adaptation of Learned Features for Visual Localization.

Sungyong Baik, Hyo Jin Kim, Tianwei Shen, Eddy Ilg, Kyoung Mu Lee, Chris Sweeney

CoRR, 2020

Domain Adaptation of Learned Featuresfor Visual Localization.

Sungyong Baik, Hyo Jin Kim, Tianwei Shen, Eddy Ilg, Kyoung Mu Lee, Christopher Sweeney

Proceedings of the 31st British Machine Vision Conference 2020, 2020

Designing of Loss Function for 3D Pedestrian Detection using CenterNet.

Chan Yong Kim, Doo Hee Lee, Hyo Jin Kim, Asif Aziz Memon, Ehtesham Iqbal, Kwang Nam Choi

Proceedings of the AICCC 2020: 2020 3rd Artificial Intelligence and Cloud Computing Conference, 2020

2018

Learning Adaptive Representations for Image Retrieval and Recognition.

Hyo Jin Kim

PhD thesis, 2018

Hierarchy of Alternating Specialists for Scene Recognition.

Hyo Jin Kim, Jan-Michael Frahm

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Arm Motion Estimation Algorithm Using MYO Armband.

Hyo Jin Kim, Ye Sol Lee, Donghan Kim

Proceedings of the First IEEE International Conference on Robotic Computing, 2017

Learned Contextual Feature Reweighting for Image Geo-Localization.

Hyo Jin Kim, Enrique Dunn, Jan-Michael Frahm

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

SUR Approach for IV Estimation of Canonical Contagion Models.

Dong Wan Shin, Hyo Jin Kim, Jinwook Seo

Commun. Stat. Simul. Comput., 2016

2015

Predicting Good Features for Image Geo-Localization Using Per-Bundle VLAD.

Hyo Jin Kim, Enrique Dunn, Jan-Michael Frahm

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

A Fiber Bragg Grating Sensor Interrogation System Based on a Linearly Wavelength-Swept Thermo-Optic Laser Chip.

Hyung Seok Lee, Hwi Don Lee, Hyo Jin Kim, Jae Du Cho, Myung-Yung Jeong, Chang-Seok Kim

Sensors, 2014