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ORCIDJongchan Park
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2020 – today
- 2024
[c13]Jongchan Park
, Seungjun Oh, Yusung Kim:
Novelty-aware Graph Traversal and Expansion for Hierarchical Reinforcement Learning. CIKM 2024: 1846-1855- [i12]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 abs/2407.20643 (2024) - 2023
- [c12]Jinhan Kim, Jongchan Park, Shin Yoo:
The Inversive Relationship Between Bugs and Patches: An Empirical Study. ICSTW 2023: 314-323 - [i11]Jinhan Kim, Jongchan Park, Shin Yoo:
The Inversive Relationship Between Bugs and Patches: An Empirical Study. CoRR abs/2303.00303 (2023) - 2022
- [j9]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): 526 (2022) - [j8]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): 132-153 (2022) - [j7]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): 1752-1759 (2022) - [c11]Hyeoncheol Noh, Jingi Ju, Minseok Seo, Jongchan Park, Dong-Geol Choi:
Unsupervised Change Detection Based on Image Reconstruction Loss. CVPR Workshops 2022: 1351-1360 - [c10]John Seon Keun Yi, Minseok Seo, Jongchan Park, Dong-Geol Choi:
PT4AL: Using Self-supervised Pretext Tasks for Active Learning. ECCV (26) 2022: 596-612 - [c9]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: 3-14 - [i10]John Seon Keun Yi, Minseok Seo, Jongchan Park, Dong-Geol Choi:
Using Self-Supervised Pretext Tasks for Active Learning. CoRR abs/2201.07459 (2022) - [i9]Hyeoncheol Noh, Jingi Ju, Minseok Seo, Jongchan Park, Dong-Geol Choi:
Unsupervised Change Detection Based on Image Reconstruction Loss. CoRR abs/2204.01200 (2022) - 2021
- [j6]Minseok Seo, Jaemin Lee, Jongchan Park, Daehan Kim, Dong-Geol Choi:
Sequential Feature Filtering Classifier. IEEE Access 9: 97068-97078 (2021) - [j5]Hyun Joo, Jongchan Park, Dongsik Kim:
Visual representation fidelity and self-explanation prompts in multi-representational adaptive learning. J. Comput. Assist. Learn. 37(4): 1091-1106 (2021) - [j4]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) - [c8]Hyeonseob Nam, HyunJae Lee, Jongchan Park, Wonjun Yoon, Donggeun Yoo:
Reducing Domain Gap by Reducing Style Bias. CVPR 2021: 8690-8699 - [c7]Adrit Rao, Jongchan Park, Oliver O. Aalami:
The Value of Visual Attention for COVID-19 Classification in CT Scans. ICCVW 2021: 433-438 - [c6]Adrit Rao, Jongchan Park, Sanghyun Woo, Joon-Young Lee, Oliver O. Aalami:
Studying the Effects of Self-Attention for Medical Image Analysis. ICCVW 2021: 3409-3418 - [i8]Jaemin Lee, Minseok Seo, Jongchan Park, Dong-Geol Choi:
Exploiting Features with Split-and-Share Module. CoRR abs/2108.04500 (2021) - [i7]Adrit Rao, Jongchan Park, Sanghyun Woo, Joon-Young Lee, Oliver O. Aalami:
Studying the Effects of Self-Attention for Medical Image Analysis. CoRR abs/2109.01486 (2021) - 2020
- [j3]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): 783-798 (2020) - [j2]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): 656-671 (2020) - [c5]Minchul Kim, Jongchan Park, Seil Na, Chang Min Park, Donggeun Yoo:
Learning Visual Context by Comparison. ECCV (5) 2020: 576-592 - [i6]Minseok Seo, Jaemin Lee, Jongchan Park, Dong-Geol Choi:
Sequential Feature Filtering Classifier. CoRR abs/2006.11808 (2020) - [i5]Minchul Kim, Jongchan Park, Seil Na, Chang Min Park, Donggeun Yoo:
Learning Visual Context by Comparison. CoRR abs/2007.07506 (2020)
2010 – 2019
- 2019
- [c4]Jongchan Park, Min-Hyun Kim, Seibum Choi, In So Kweon, Dong-Geol Choi:
Fraud Detection with Multi-Modal Attention and Correspondence Learning. ICEIC 2019: 1-7 - [i4]Hyeonseob Nam, HyunJae Lee, Jongchan Park, Wonjun Yoon, Donggeun Yoo:
Reducing Domain Gap via Style-Agnostic Networks. CoRR abs/1910.11645 (2019) - 2018
- [c3]Jongchan Park, Sanghyun Woo, Joon-Young Lee, In So Kweon:
BAM: Bottleneck Attention Module. BMVC 2018: 147 - [c2]Jongchan Park, Joon-Young Lee, Donggeun Yoo, In So Kweon:
Distort-and-Recover: Color Enhancement Using Deep Reinforcement Learning. CVPR 2018: 5928-5936 - [c1]Sanghyun Woo, Jongchan Park, Joon-Young Lee, In So Kweon:
CBAM: Convolutional Block Attention Module. ECCV (7) 2018: 3-19 - [i3]Jongchan Park, Joon-Young Lee, Donggeun Yoo, In So Kweon:
Distort-and-Recover: Color Enhancement using Deep Reinforcement Learning. CoRR abs/1804.04450 (2018) - [i2]Jongchan Park, Sanghyun Woo, Joon-Young Lee, In So Kweon:
BAM: Bottleneck Attention Module. CoRR abs/1807.06514 (2018) - [i1]Sanghyun Woo, Jongchan Park, Joon-Young Lee, In So Kweon:
CBAM: Convolutional Block Attention Module. CoRR abs/1807.06521 (2018) - 2011
- [j1]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): 1490-1495 (2011)
Coauthor Index
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