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Seunghun Lee
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2020 – today
- 2024
- [j15]Seunghun Lee, Jihoon Lee, Chan Ho Bae, Myung-Seok Choi, Ryong Lee, Sangtae Ahn:
Optimizing Prompts Using In-Context Few-Shot Learning for Text-to-Image Generative Models. IEEE Access 12: 2660-2673 (2024) - [j14]Eun Ji Lee, Yeo Ju Kim, Sung Oh Song, Seunghun Lee, Jeongah Ryu, Nayeon Choi:
Comparison of the diagnostic performance of the Swischuk line method and the anterior atlantodental interval method in atlantodental subluxation. BMC Medical Imaging 24(1): 8 (2024) - [j13]Joseph Briggs, Michael Gene Dobbins, Seunghun Lee:
Transversals and Colorings of Simplicial Spheres. Discret. Comput. Geom. 71(2): 738-763 (2024) - [j12]Michael Gene Dobbins, Seunghun Lee:
Inscribable Order Types. Discret. Comput. Geom. 72(2): 704-727 (2024) - [j11]Junghwan Lim, Chenglong Luo, Seunghun Lee, Young Eun Song, Hoeryong Jung:
Action Recognition of Taekwondo Unit Actions Using Action Images Constructed with Time-Warped Motion Profiles. Sensors 24(8): 2595 (2024) - [j10]Mijeong Kang, Donghyeon Kim, Jihee Kim, Nakyung Kim, Seunghun Lee:
Strategies to Enrich Electrochemical Sensing Data with Analytical Relevance for Machine Learning Applications: A Focused Review. Sensors 24(12): 3855 (2024) - [c18]Hojin Kim, Seunghun Lee, Hyeon Kang, Sunghoon Im:
Offline-to-Online Knowledge Distillation for Video Instance Segmentation. WACV 2024: 158-167 - [i9]Seunghun Lee, Jiwan Seo, Kiljoon Han, Minwoo Choi, Sunghoon Im:
Context-Aware Video Instance Segmentation. CoRR abs/2407.03010 (2024) - [i8]Jihun Park, Jongmin Gim, Kyoungmin Lee, Seunghun Lee, Sunghoon Im:
TEXTOC: Text-driven Object-Centric Style Transfer. CoRR abs/2408.08461 (2024) - 2023
- [j9]Seunghun Lee, Chenglong Luo, Sungkwan Lee, Hoeryong Jung:
Two-Stream Network One-Class Classification Model for Defect Inspections. Sensors 23(12): 5768 (2023) - [c17]Changjae Kim, Seunghun Lee, Sunghoon Im:
Multi-Target Domain Adaptation with Class-Wise Attribute Transfer in Semantic Segmentation. BMVC 2023: 633-634 - [c16]Hyeong Kyu Choi, Seunghun Lee, Jaewon Chu, Hyunwoo J. Kim:
NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA. NeurIPS 2023 - [c15]Seunghun Lee, Jaewon Chu, Sihyeon Kim, Juyeon Ko, Hyunwoo J. Kim:
Advancing Bayesian Optimization via Learning Correlated Latent Space. NeurIPS 2023 - [i7]Hojin Kim, Seunghun Lee, Sunghoon Im:
Offline-to-Online Knowledge Distillation for Video Instance Segmentation. CoRR abs/2302.07516 (2023) - [i6]Hyeong Kyu Choi, Seunghun Lee, Jaewon Chu, Hyunwoo J. Kim:
NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA. CoRR abs/2310.15484 (2023) - [i5]Seunghun Lee, Jaewon Chu, Sihyeon Kim, Juyeon Ko, Hyunwoo J. Kim:
Advancing Bayesian Optimization via Learning Correlated Latent Space. CoRR abs/2310.20258 (2023) - 2022
- [j8]Támás Kalmán, Seunghun Lee, Lilla Tóthmérész:
The Sandpile Group of a Trinity and a Canonical Definition for the Planar Bernardi Action. Comb. 42(Supplement 2): 1283-1316 (2022) - [j7]Andreas F. Holmsen, Seunghun Lee:
Leray numbers of complexes of graphs with bounded matching number. J. Comb. Theory A 189: 105618 (2022) - [j6]Seongjun Yun, Minbyul Jeong, Sungdong Yoo, Seunghun Lee, Sean S. Yi, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim:
Graph Transformer Networks: Learning meta-path graphs to improve GNNs. Neural Networks 153: 104-119 (2022) - [j5]Seunghun Lee, Wafa Shafqat, Hyun-chul Kim:
Backers Beware: Characteristics and Detection of Fraudulent Crowdfunding Campaigns. Sensors 22(19): 7677 (2022) - [c14]Seunghun Lee, Wonhyeok Choi, Changjae Kim, Minwoo Choi, Sunghoon Im:
ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation. CVPR 2022: 19174-19184 - [c13]Mana Ashida, Jin-Dong Kim, Seunghun Lee:
COVID-19 Mythbusters in World Languages. LREC 2022: 3048-3055 - [i4]Seunghun Lee, Wonhyeok Choi, Changjae Kim, Minwoo Choi, Sunghoon Im:
ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation. CoRR abs/2203.06811 (2022) - [i3]Hyeon-Jin Park, Seunghun Lee, Sihyeon Kim, Jinyoung Park, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim:
Metropolis-Hastings Data Augmentation for Graph Neural Networks. CoRR abs/2203.14082 (2022) - 2021
- [j4]Hyeon-Jin Park, Seunghun Lee, Dasol Hwang, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim:
Learning Augmentation for GNNs With Consistency Regularization. IEEE Access 9: 127961-127972 (2021) - [j3]Seunghun Lee, Hyerin Song, Heesang Ahn, Seungchul Kim, Jong-ryul Choi, Kyujung Kim:
Fiber-Optic Localized Surface Plasmon Resonance Sensors Based on Nanomaterials. Sensors 21(3): 819 (2021) - [c12]Seunghun Lee, Sunghyun Cho, Sunghoon Im:
DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation. CVPR 2021: 15252-15261 - [c11]Hyeon-Jin Park, Seunghun Lee, Sihyeon Kim, Jinyoung Park, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim:
Metropolis-Hastings Data Augmentation for Graph Neural Networks. NeurIPS 2021: 19010-19020 - [i2]Seunghun Lee, Sunghyun Cho, Sunghoon Im:
DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation. CoRR abs/2103.13447 (2021) - [i1]Seongjun Yun, Minbyul Jeong, Sungdong Yoo, Seunghun Lee, Sean S. Yi, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim:
Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNs. CoRR abs/2106.06218 (2021) - 2020
- [j2]Hyungwoo Lee, Jun Seung Mun, Woo Ram Jung, Seunghun Lee, Joonseong Kang, Wonok Kang, Sehyeon Kim, Sung-Min Park, Duk L. Na, Young-Min Shon, Sang Joon Kim:
Long-Term Non Anesthetic Preclinical Study Available Extra-Cranial Brain Activator (ECBA) System for the Future Minimally Invasive Human Neuro Modulation. IEEE Trans. Biomed. Circuits Syst. 14(6): 1393-1406 (2020) - [c10]Mana Ashida, Seunghun Lee, Kunzang Namgyal:
Building a Part-of-Speech Tagged Corpus for Drenjongke (Bhutia). AACL/IJCNLP (Student Research Workshop) 2020: 57-63 - [c9]Kang-Hee Lee, Seunghun Lee, Hyun-chul Kim:
Traffic classification using deep learning: being highly accurate is not enough. SIGCOMM Posters and Demos 2020: 1-2
2010 – 2019
- 2018
- [j1]Seunghun Lee, Kang Min Yoo:
On a conjecture of Karasev. Comput. Geom. 75: 1-10 (2018) - [c8]Seunghun Lee, KangHee Lee, Hyun-chul Kim:
Content-based Success Prediction of Crowdfunding Campaigns: A Deep Learning Approach. CSCW Companion 2018: 193-196 - 2016
- [c7]Wafa Shafqat, Seunghun Lee, Sehrish Malik, Hyun-chul Kim:
The Language of Deceivers: Linguistic Features of Crowdfunding Scams. WWW (Companion Volume) 2016: 99-100 - 2014
- [c6]Ji-Yong Um, Eun-Woo Song, Yoon-Jee Kim, Seong-Eun Cho, Min-Kyun Chae, Jongkeun Song, Bae-Hyung Kim, Seunghun Lee, Jihoon Bang, Youngil Kim, Kyungil Cho, Byungsub Kim, Jae-Yoon Sim, Hong-June Park:
24.8 An analog-digital-hybrid single-chip RX beamformer with non-uniform sampling for 2D-CMUT ultrasound imaging to achieve wide dynamic range of delay and small chip area. ISSCC 2014: 426-427 - 2012
- [c5]Youngjae Lim, Jaekyu Park, Eui S. Jung, David Ho Chung, Taeil Kim, Kwangsoo Choi, Seunghun Lee:
Comparative Study on Advanced TV Interface Types in the Smart Media World. UIC/ATC 2012: 342-348 - 2011
- [c4]Youngho Lee, Jongmyung Choi, Sehwan Kim, Seunghun Lee, Say Jang:
Social Augmented Reality for Sensor Visualization in Ubiquitous Virtual Reality. HCI (13) 2011: 69-75 - 2010
- [c3]Seunghun Lee:
Geometry simulation for feature films. SIGGRAPH ASIA (Courses) 2010: 20:1
2000 – 2009
- 2009
- [c2]Jaekwang Kim, Bo Kyeong Kim, Seunghun Lee, Jee-Hyong Lee:
A vulnerability recommendation system in linux kernel variables. FUZZ-IEEE 2009: 92-97 - 2008
- [c1]Joonhyun Bae, Seunghun Lee, Egun Jung, Sangwook Kim:
A Mobile Peer-to-Peer Query in a Social Network. ALPIT 2008: 450-453
Coauthor Index
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last updated on 2024-10-23 20:32 CEST by the dblp team
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