Kyung Ho Park

Orcid: 0000-0002-3439-9297

According to our database1, Kyung Ho Park authored at least 28 papers between 2006 and 2023.

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

Timeline

Legend:

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Bibliography

2023
Discovering the Effectiveness of Pre-Training in a Large-scale Car-sharing Platform.
CoRR, 2023

SOCAR: Socially-Obtained CAR Dataset for Image Recognition in the Wild.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

Phantom of Benchmark Dataset: Resolving Label Ambiguity Problem on Image Recognition in the Wild.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

Is Meta-Learning Always Necessary?: A Practical ML Framework Solving Novel Tasks at Large-scale Car Sharing Platform.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

2022
Towards an Efficient ML System: Unveiling a Trade-off between Task Accuracy and Engineering Efficiency in a Large-scale Car Sharing Platform.
CoRR, 2022

Deep Dense Local Feature Matching and Vehicle Removal for Indoor Visual Localization.
CoRR, 2022

Unsupervised malicious domain detection with less labeling effort.
Comput. Secur., 2022

Did you Wash the Car?: Robust Car Wash Inspection System in a Large-scale Car Sharing Platform.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Don't Wait Until the Accident Happens: Few-Shot Classification Framework for Car Accident Inspection in a Real World.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

Uncertainty Guided Pseudo-Labeling: Estimating Uncertainty on Ambiguous Data for Escalating Image Recognition Performance.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Cashflow Tracing: Detecting Online game bots leveraging financial analysis with Recurrent Neural Networks.
Proceedings of the Extended Abstracts of the Annual Symposium on Computer-Human Interaction in Play, 2022

Shape Prior is Not All You Need: Discovering Balance Between Texture and Shape Bias in CNN.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
Unsupervised Fault Detection on Unmanned Aerial Vehicles: Encoding and Thresholding Approach.
Sensors, 2021

Unsupervised Driver Behavior Profiling Leveraging Recurrent Neural Networks.
Proceedings of the Information Security Applications - 22nd International Conference, 2021

Traffic Accident Recognition in First-Person Videos by Learning a Spatio-Temporal Visual Pattern.
Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021

Stay As You Were!: Unsupervised Driver Behavior Profiling through Discovering Normality on Smartphone Sensor Measurements.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Understand Watchdogs: Discover How Game Bot Get Discovered.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

Visual Representation Learning for Automating Car Part Recognition in a Large-scale Car Sharing Platform.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020
This Car is Mine!: Driver Pattern Dataset extracted from CAN-bus.
Dataset, September, 2020

De-Wipimization: Detection of data wiping traces for investigating NTFS file system.
Comput. Secur., 2020

Unsupervised Intrusion Detection System for Unmanned Aerial Vehicle with Less Labeling Effort.
Proceedings of the Information Security Applications - 21st International Conference, 2020

2019
IoT network intrusion dataset.
Dataset, September, 2019

This Car is Mine!: Automobile Theft Countermeasure Leveraging Driver Identification with Generative Adversarial Networks.
CoRR, 2019

Automobile Theft Detection by Clustering Owner Driver Data.
CoRR, 2019

Show Me Your Account: Detecting MMORPG Game Bot Leveraging Financial Analysis with LSTM.
Proceedings of the Information Security Applications - 20th International Conference, 2019

Design of Efficient Distribution Transformer: a deep learning approach.
Proceedings of the 7th ACIS International Conference on Applied Computing and Information Technology, 2019

Transformer Design Software with Parallel Processing.
Proceedings of the 7th ACIS International Conference on Applied Computing and Information Technology, 2019

2006
A Multi-protocol Baseband Modem Processor for a Mobile RFID Reader.
Proceedings of the Embedded and Ubiquitous Computing, International Conference, 2006


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