Jongchan Park

According to our database, Jongchan Park authored at least 25 papers between 2011 and 2023.

Collaborative distances:

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

2023

The Inversive Relationship Between Bugs and Patches: An Empirical Study.

Jinhan Kim, Jongchan Park, Shin Yoo

Proceedings of the IEEE International Conference on Software Testing, Verification and Validation, ICST 2023, 2023

2022

A Self-Supervised Sampler for Efficient Action Recognition: Real-World Applications in Surveillance Systems.

Minseok Seo, Donghyeon Cho, Sangwoo Lee, Jongchan Park, Daehan Kim, Jaemin Lee, Jingi Ju, Hyeoncheol Noh, Dong-Geol Choi

IEEE Robotics Autom. Lett., 2022

The effects of the regulated learning-supported flipped classroom on student performance.

Hyojung Jung, Seung Won Park, Hyun Song Kim, Jongchan Park

J. Comput. High. Educ., 2022

Building Knowledge Graphs from Unstructured Texts: Applications and Impact Analyses in Cybersecurity Education.

Garima Agrawal, Yuli Deng, Jongchan Park, Huan Liu, Ying-Chih Chen

Inf., 2022

Using Self-Supervised Pretext Tasks for Active Learning.

John Seon Keun Yi, Minseok Seo, Jongchan Park, Dong-Geol Choi

CoRR, 2022

Estimation of Aerodynamic Uncertainty in Missile System Using Physics-Informed Neural Network Framework.

Kyung-Mi Na, Jongchan Park, Ki Wook Jung, Chang-Hun Lee

Proceedings of the Robot Intelligence Technology and Applications 7, 2022

PT4AL: Using Self-supervised Pretext Tasks for Active Learning.

John Seon Keun Yi, Minseok Seo, Jongchan Park, Dong-Geol Choi

Proceedings of the Computer Vision - ECCV 2022, 2022

Unsupervised Change Detection Based on Image Reconstruction Loss.

Hyeoncheol Noh, Jingi Ju, Minseok Seo, Jongchan Park, Dong-Geol Choi

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

2021

X-person asymmetric interaction in virtual and augmented realities.

Yunsik Cho, Jiewon Kang, Jaekyung Jeon, Jongchan Park, Mingyu Kim, Jinmo Kim

Comput. Animat. Virtual Worlds, 2021

Visual representation fidelity and self-explanation prompts in multi-representational adaptive learning.

Hyun Joo, Jongchan Park, Dongsik Kim

J. Comput. Assist. Learn., 2021

Exploiting Features with Split-and-Share Module.

Jaemin Lee, Minseok Seo, Jongchan Park, Dong-Geol Choi

CoRR, 2021

Sequential Feature Filtering Classifier.

Minseok Seo, Jaemin Lee, Jongchan Park, Daehan Kim, Dong-Geol Choi

IEEE Access, 2021

Studying the Effects of Self-Attention for Medical Image Analysis.

Adrit Rao, Jongchan Park, Sanghyun Woo, Joon-Young Lee, Oliver Aalami

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

The Value of Visual Attention for COVID-19 Classification in CT Scans.

Adrit Rao, Jongchan Park, Oliver Aalami

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Reducing Domain Gap by Reducing Style Bias.

Hyeonseob Nam, HyunJae Lee, Jongchan Park, Wonjun Yoon, Donggeun Yoo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Promoting case indexing in case library learning: Effects of indexing prompts on self-explanation and problem solving.

Jongchan Park, Chaeyeon Park, Hyojung Jung, Dongsik Kim

J. Comput. Assist. Learn., 2020

A Simple and Light-Weight Attention Module for Convolutional Neural Networks.

Jongchan Park, Sanghyun Woo, Joon-Young Lee, In So Kweon

Int. J. Comput. Vis., 2020

Sequential Feature Filtering Classifier.

Minseok Seo, Jaemin Lee, Jongchan Park, Dong-Geol Choi

CoRR, 2020

Learning Visual Context by Comparison.

Minchul Kim, Jongchan Park, Seil Na, Chang Min Park, Donggeun Yoo

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Reducing Domain Gap via Style-Agnostic Networks.

Hyeonseob Nam, HyunJae Lee, Jongchan Park, Wonjun Yoon, Donggeun Yoo

CoRR, 2019

Fraud Detection with Multi-Modal Attention and Correspondence Learning.

Jongchan Park, Min-Hyun Kim, Seibum Choi, In So Kweon, Dong-Geol Choi

Proceedings of the International Conference on Electronics, Information, and Communication, 2019

2018

CBAM: Convolutional Block Attention Module.

Sanghyun Woo, Jongchan Park, Joon-Young Lee, In So Kweon

Proceedings of the Computer Vision - ECCV 2018, 2018

Distort-and-Recover: Color Enhancement Using Deep Reinforcement Learning.

Jongchan Park, Joon-Young Lee, Donggeun Yoo, In So Kweon

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

BAM: Bottleneck Attention Module.

Jongchan Park, Sanghyun Woo, Joon-Young Lee, In So Kweon

Proceedings of the British Machine Vision Conference 2018, 2018

2011

An 8M Polygons/s 3-D Graphics SoC With Full Hardware Geometric and Rendering Engine for Mobile Applications.

Jeonghun Kim, Hanjun Choi, Sungyeal Yoon, Taesik Bang, Jongchan Park, Chaehyun Jung, Jason Cong

IEEE Trans. Very Large Scale Integr. Syst., 2011