Kangmin Bae

Orcid: 0000-0002-1285-8384

According to our database1, Kangmin Bae authored at least 12 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
mmComb: High-speed mmWave Commodity WiFi Backscatter.
Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

2023
Omniscatte: Extreme Sensitivity MMWave Backscattering Using Commodity FMCW Radar.
GetMobile Mob. Comput. Commun., December, 2023

Hawkeye: Hectometer-range Subcentimeter Localization for Large-scale mmWave Backscatter.
Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

Poster: Submillimeter Localization for mmWave Backscatter Using Commodity 77 GHz Radar.
Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

Unsupervised Bidirectional Style Transfer Network using Local Feature Transform Module.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
OmniScatter: extreme sensitivity mmWave backscattering using commodity FMCW radar.
Proceedings of the MobiSys '22: The 20th Annual International Conference on Mobile Systems, Applications and Services, Portland, Oregon, 27 June 2022, 2022

MCIP: Multi-Stream Network for Pedestrian Crossing Intention Prediction.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
The Dataset and Baseline Models to Detect Human Postural States Robustly against Irregular Postures.
Proceedings of the 17th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2021

2020
On the Feasibility of Millimeter-wave Backscatter using Commodity 802.11ad 60 GHz Radios.
Proceedings of the WiNTECH@MobiCom 2020: Proceedings of the 14th International Workshop on Wireless Network Testbeds, 2020

Unsupervised Moving Object Detection through Background Models for PTZ Camera.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Anti-Litter Surveillance based on Person Understanding via Multi-Task Learning.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2018
ImaGAN: Unsupervised Training of Conditional Joint CycleGAN for Transferring Style with Core Structures in Content Preserved.
Proceedings of the Computer Vision - ACCV 2018, 2018


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