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Jaeseok Choi
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Journal Articles
- 2024
- [j5]Jaeseok Choi, Byung Do Chung:
Optimizing vehicle route, schedule, and platoon formation considering time-dependent traffic congestion. Comput. Ind. Eng. 192: 110205 (2024) - 2023
- [j4]DongKi Noh, Changki Sung, Teayoung Uhm, Wooju Lee, Hyungtae Lim, Jaeseok Choi, Kyuewang Lee, Dasol Hong, Daeho Um, Inseop Chung, Hochul Shin, Min-Jung Kim, Hyoung-Rock Kim, SeungMin Baek, Hyun Myung:
X-MAS: Extremely Large-Scale Multi-Modal Sensor Dataset for Outdoor Surveillance in Real Environments. IEEE Robotics Autom. Lett. 8(2): 1093-1100 (2023) - 2022
- [j3]Jaeseok Choi, Yeji Song, Yerim Kim, Jaeyoung Yoo, Nojun Kwak:
MD3D: Mixture-Density-Based 3D Object Detection in Point Clouds. IEEE Access 10: 104011-104022 (2022) - 2013
- [j2]Jaeseok Choi, Gilsoo Jang:
Guest Editorial Special Section on Smart Grid Technology in South Korea. IEEE Trans. Smart Grid 4(1): 351-352 (2013) - [j1]Jaeseok Choi, Jintaek Lim, Kwang Y. Lee:
DSM Considered Probabilistic Reliability Evaluation and an Information System for Power Systems Including Wind Turbine Generators. IEEE Trans. Smart Grid 4(1): 425-432 (2013)
Conference and Workshop Papers
- 2024
- [c15]Insoo Kim, Jaeseok Choi, Geonseok Seo, Kinam Kwon, Jinwoo Shin, Hyong-Euk Lee:
Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization. CVPR 2024: 25879-25888 - 2023
- [c14]Jiyoung Lee, Seungho Kim, Seunghyun Won, Joonseok Lee, Marzyeh Ghassemi, James Thorne, Jaeseok Choi, O.-Kil Kwon, Edward Choi:
VisAlign: Dataset for Measuring the Alignment between AI and Humans in Visual Perception. NeurIPS 2023 - 2021
- [c13]Ahsen J. Uppal, Jaeseok Choi, Thomas B. Rolinger, H. Howie Huang:
Faster Stochastic Block Partition Using Aggressive Initial Merging, Compressed Representation, and Parallelism Control. HPEC 2021: 1-7 - [c12]Jaeseok Choi, Yeji Song, Nojun Kwak:
Part-Aware Data Augmentation for 3D Object Detection in Point Cloud. IROS 2021: 3391-3397 - 2020
- [c11]Geonseok Seo, Jaeyoung Yoo, Jaeseok Choi, Nojun Kwak:
Kl-Divergence-Based Region Proposal Network For Object Detection. ICIP 2020: 2001-2005 - 2019
- [c10]Simyung Chang, Youngjoon Yoo, Jaeseok Choi, Nojun Kwak:
BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning. ICPRAM 2019: 73-82 - [c9]Jaeseok Choi, Kyoungmin Lee, Jisoo Jeong, Nojun Kwak:
Two-layer Residual Feature Fusion for Object Detection. ICPRAM 2019: 352-359 - 2018
- [c8]Simyung Chang, John Yang, Jaeseok Choi, Nojun Kwak:
Genetic-Gated Networks for Deep Reinforcement Learning. NeurIPS 2018: 1754-1763 - 2017
- [c7]Yeonchan Lee, Jaeseok Choi, Myeunghoon Jung, Junzo Watada:
GUI of GMS Simulation Tool Using Fuzzy Methods. IIH-MSP (2) 2017: 343-351 - 2013
- [c6]Jintaek Lim, Jaeseok Choi, Junmin Cha:
Web based online real-time outage cost assessment information system of power system-II. ISGT 2013: 1-6 - 2010
- [c5]Jaeseok Choi, Jeongje Park, Kyeonghee Cho, Taeho Song, Junmin Cha:
Web based online realtime information system for reliability of composite power system including wind turbine generators. ISGT Europe 2010: 1-8 - 2009
- [c4]Jeongje Park, Liang Wu, Jaeseok Choi, Junmin Cha, Abdurrahim El-Keib, Junzo Watada:
Fuzzy theory-based best generation mix considering renewable energy generators. FUZZ-IEEE 2009: 1462-1467 - 2006
- [c3]Jaeseok Choi, Timothy D. Mount, Robert J. Thomas:
Transmission System Expansion Plans in View Point of Deterministic, Probabilistic and Security Reliability Criteria. HICSS 2006 - 2005
- [c2]Jaeseok Choi, TrungTinh Tran, Jungji Kwon, Sangsik Lee, Abdurrahim El-Keib:
The Air Pollution Constraints Considered Best Generation Mix Using Fuzzy Linear Programming. KES (3) 2005: 1129-1142 - 2004
- [c1]Junzo Watada, Masato Takagi, Jaeseok Choi:
Fuzzy Multivariant Analysis. KES 2004: 166-172
Informal and Other Publications
- 2024
- [i8]Insoo Kim, Jaeseok Choi, Geonseok Seo, Kinam Kwon, Jinwoo Shin, Hyong-Euk Lee:
Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization. CoRR abs/2404.12168 (2024) - 2023
- [i7]Jiyoung Lee, Seungho Kim, Seunghyun Won, Joonseok Lee, Marzyeh Ghassemi, James Thorne, Jaeseok Choi, O.-Kil Kwon, Edward Choi:
VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception. CoRR abs/2308.01525 (2023) - 2022
- [i6]DongKi Noh, Changki Sung, Teayoung Uhm, Wooju Lee, Hyungtae Lim, Jaeseok Choi, Kyuewang Lee, Dasol Hong, Daeho Um, Inseop Chung, Hochul Shin, Min-Jung Kim, Hyoung-Rock Kim, SeungMin Baek, Hyun Myung:
X-MAS: Extremely Large-Scale Multi-Modal Sensor Dataset for Outdoor Surveillance in Real Environments. CoRR abs/2212.14574 (2022) - 2020
- [i5]Geonseok Seo, Jaeyoung Yoo, Jaeseok Choi, Nojun Kwak:
KL-Divergence-Based Region Proposal Network for Object Detection. CoRR abs/2005.11220 (2020) - [i4]Jaeseok Choi, Yeji Song, Nojun Kwak:
Part-Aware Data Augmentation for 3D Object Detection in Point Cloud. CoRR abs/2007.13373 (2020) - 2019
- [i3]Simyung Chang, John Yang, Jaeseok Choi, Nojun Kwak:
Genetic-Gated Networks for Deep Reinforcement. CoRR abs/1903.01886 (2019) - 2017
- [i2]Kyoungmin Lee, Jaeseok Choi, Jisoo Jeong, Nojun Kwak:
Residual Features and Unified Prediction Network for Single Stage Detection. CoRR abs/1707.05031 (2017) - [i1]Simyung Chang, Young Joon Yoo, Jaeseok Choi, Nojun Kwak:
Knowledge Sharing for Reinforcement Learning: Writing a BOOK. CoRR abs/1709.01308 (2017)
Coauthor Index
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