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Hyeokhyen Kwon
Hyeokhyen Kwon
Verified email at dbmi.emory.edu - Homepage
Title
Cited by
Cited by
Year
Data-driven depth map refinement via multi-scale sparse representation
HH Kwon, YW Tai, S Lin
Proceedings of the IEEE conference on computer vision and pattern …, 2015
902015
RGB-guided hyperspectral image upsampling
H Kwon, YW Tai
Proceedings of the IEEE International Conference on Computer Vision, 307-315, 2015
552015
IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition.
H Kwon, C Tong, H Haresamudram, Y Gao, GD Abowd, ND Lane, ...
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020
532020
Adding structural characteristics to distribution-based accelerometer representations for activity recognition using wearables.
H Kwon, GD Abowd, T Plötz.
Proceedings of the 2018 ACM International Symposium on Wearable Computers, 72-75, 2018
282018
Handling annotation uncertainty in human activity recognition
H Kwon, GD Abowd, T Plötz
Proceedings of the 23rd International Symposium on Wearable Computers, 109-117, 2019
272019
Leveraging WiFi network logs to infer social interactions: A case study of academic performance and student behavior
VD Swain, HH Kwon, B Saket, MB Morshed, K Tran, D Patel, Y Tian, ...
arXiv preprint arXiv:2005.11228, 2020
8*2020
Approaching the real-world: Supporting activity recognition training with virtual imu data
H Kwon, B Wang, GD Abowd, T Plötz
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021
72021
Personalization Models for Human Activity Recognition with Distribution Matching-Based Metrics
HT Nguyen, H Kwon, H Haresamudram, AF Peterson, T Plötz
International Workshop on Deep Learning for Human Activity Recognition, 43-56, 2021
12021
Method and system for automatic extraction of virtual on-body inertial measurement units
H Kwon, GD Abowd, HK Haresamudram, T Ploetz, EGC Tong, Y Gao, ...
US Patent App. 17/464,488, 2022
2022
Complex Deep Neural Networks from Large Scale Virtual IMU Data for Effective Human Activity Recognition Using Wearables
H Kwon, GD Abowd, T Plötz
Sensors 21 (24), 8337, 2021
2021
Deriving Sensor-based Complex Human Activity Recognition Models Using Videos
H Kwon
Georgia Institute of Technology, 2021
2021
Can You See It? Good, So We Can Sense It!
H Kwon, C Tong, H Haresamudram, Y Gao, GD Abowd, ND Lane, ...
GetMobile: Mobile Computing and Communications 25 (2), 38-42, 2021
2021
RGB-Guided Sparse Coding for Depth map and Hyperspectral image upsampling
H Kwon
KAIST, 2016
2016
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