Jongchan Park

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 32

Top Topics

Groupwise Registration

Medical Image Analysis

Top Venues

J. Comput. Assist. Learn.

Publications

Biagio Brattoli, Mohammad Mostafavi, Taebum Lee, Wonkyung Jung, Jeongun Ryu, Seonwook Park, Jongchan Park, Sérgio Pereira, Seunghwan Shin, Sangjoon Choi, Hyojin Kim, Donggeun Yoo, Siraj M. Ali, Kyunghyun Paeng, Chan-Young Ock, Soo Ick Cho, Seokhwi Kim
Generalizing AI-driven Assessment of Immunohistochemistry across Immunostains and Cancer Types: A Universal Immunohistochemistry Analyzer. CoRR (2024)
Jinhan Kim, Jongchan Park, Shin Yoo
The Inversive Relationship Between Bugs and Patches: An Empirical Study. CoRR (2023)
Jinhan Kim, Jongchan Park, Shin Yoo
The Inversive Relationship Between Bugs and Patches: An Empirical Study. ICSTW (2023)
Hyojung Jung, Seung Won Park, Hyun Song Kim, Jongchan Park
The effects of the regulated learning-supported flipped classroom on student performance. J. Comput. High. Educ. 34 (1) (2022)
Kyung-Mi Na, Jongchan Park, Ki Wook Jung, Chang-Hun Lee
Estimation of Aerodynamic Uncertainty in Missile System Using Physics-Informed Neural Network Framework. RiTA (2022)
John Seon Keun Yi, Minseok Seo, Jongchan Park, Dong-Geol Choi
PT4AL: Using Self-supervised Pretext Tasks for Active Learning. ECCV (26) (2022)
John Seon Keun Yi, Minseok Seo, Jongchan Park, Dong-Geol Choi
Using Self-Supervised Pretext Tasks for Active Learning. CoRR (2022)
Hyeoncheol Noh, Jingi Ju, Minseok Seo, Jongchan Park, Dong-Geol Choi
Unsupervised Change Detection Based on Image Reconstruction Loss. CoRR (2022)
Hyeoncheol Noh, Jingi Ju, Minseok Seo, Jongchan Park, Dong-Geol Choi
Unsupervised Change Detection Based on Image Reconstruction Loss. CVPR Workshops (2022)
Minseok Seo, Donghyeon Cho, Sangwoo Lee, Jongchan Park, Daehan Kim, Jaemin Lee, Jingi Ju, Hyeoncheol Noh, Dong-Geol Choi
A Self-Supervised Sampler for Efficient Action Recognition: Real-World Applications in Surveillance Systems. IEEE Robotics Autom. Lett. 7 (2) (2022)
Garima Agrawal, Yuli Deng, Jongchan Park, Huan Liu, Ying-Chih Chen
Building Knowledge Graphs from Unstructured Texts: Applications and Impact Analyses in Cybersecurity Education. Inf. 13 (11) (2022)
Yunsik Cho, Jiewon Kang, Jaekyung Jeon, Jongchan Park, Mingyu Kim, Jinmo Kim
X-person asymmetric interaction in virtual and augmented realities. Comput. Animat. Virtual Worlds 32 (5) (2021)
Jaemin Lee, Minseok Seo, Jongchan Park, Dong-Geol Choi
Exploiting Features with Split-and-Share Module. CoRR (2021)
Hyeonseob Nam, HyunJae Lee, Jongchan Park, Wonjun Yoon, Donggeun Yoo
Reducing Domain Gap by Reducing Style Bias. CVPR (2021)
Adrit Rao, Jongchan Park, Sanghyun Woo, Joon-Young Lee, Oliver Aalami
Studying the Effects of Self-Attention for Medical Image Analysis. CoRR (2021)
Minseok Seo, Jaemin Lee, Jongchan Park, Daehan Kim, Dong-Geol Choi
Sequential Feature Filtering Classifier. IEEE Access 9 (2021)
Adrit Rao, Jongchan Park, Sanghyun Woo, Joon-Young Lee, Oliver Aalami
Studying the Effects of Self-Attention for Medical Image Analysis. ICCVW (2021)
Adrit Rao, Jongchan Park, Oliver Aalami
The Value of Visual Attention for COVID-19 Classification in CT Scans. ICCVW (2021)
Hyun Joo, Jongchan Park, Dongsik Kim
Visual representation fidelity and self-explanation prompts in multi-representational adaptive learning. J. Comput. Assist. Learn. 37 (4) (2021)
Jongchan Park, Sanghyun Woo, Joon-Young Lee, In So Kweon
A Simple and Light-Weight Attention Module for Convolutional Neural Networks. Int. J. Comput. Vis. 128 (4) (2020)
Jongchan Park, Chaeyeon Park, Hyojung Jung, Dongsik Kim
Promoting case indexing in case library learning: Effects of indexing prompts on self-explanation and problem solving. J. Comput. Assist. Learn. 36 (5) (2020)
Minseok Seo, Jaemin Lee, Jongchan Park, Dong-Geol Choi
Sequential Feature Filtering Classifier. CoRR (2020)
Minchul Kim, Jongchan Park, Seil Na, Chang Min Park, Donggeun Yoo
Learning Visual Context by Comparison. ECCV (5) (2020)
Minchul Kim, Jongchan Park, Seil Na, Chang Min Park, Donggeun Yoo
Learning Visual Context by Comparison. CoRR (2020)
Hyeonseob Nam, HyunJae Lee, Jongchan Park, Wonjun Yoon, Donggeun Yoo
Reducing Domain Gap via Style-Agnostic Networks. CoRR (2019)
Jongchan Park, Min-Hyun Kim, Seibum Choi, In So Kweon, Dong-Geol Choi
Fraud Detection with Multi-Modal Attention and Correspondence Learning. ICEIC (2019)
Jongchan Park, Joon-Young Lee, Donggeun Yoo, In So Kweon
Distort-and-Recover: Color Enhancement using Deep Reinforcement Learning. CoRR (2018)
Sanghyun Woo, Jongchan Park, Joon-Young Lee, In So Kweon
CBAM: Convolutional Block Attention Module. ECCV (7) (2018)
Jongchan Park, Sanghyun Woo, Joon-Young Lee, In So Kweon
BAM: Bottleneck Attention Module. CoRR (2018)
Sanghyun Woo, Jongchan Park, Joon-Young Lee, In So Kweon
CBAM: Convolutional Block Attention Module. CoRR (2018)
Jongchan Park, Joon-Young Lee, Donggeun Yoo, In So Kweon
Distort-and-Recover: Color Enhancement Using Deep Reinforcement Learning. CVPR (2018)
Jongchan Park, Sanghyun Woo, Joon-Young Lee, In So Kweon
BAM: Bottleneck Attention Module. BMVC (2018)
Jeonghun Kim, Hanjun Choi, Sungyeal Yoon, Taesik Bang, Jongchan Park, Chaehyun Jung, Jason Cong
An 8M Polygons/s 3-D Graphics SoC With Full Hardware Geometric and Rendering Engine for Mobile Applications. IEEE Trans. Very Large Scale Integr. Syst. 19 (8) (2011)