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Seung In Park

Seung-In Park

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affiliation: Samsung Advanced Institute of Technology (SAIT), Suwon, Republic of Korea
affiliation (PhD 2013): Virginia Polytechnic Institute and State University, Department of Computer Science, Blacksburg, VA, USA

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2020 – today

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2024
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Yi Zhou, Hui Zhang, Seung-In Park, ByungIn Yoo, Xiaojuan Qi:
Object-Centric Representation Learning for Video Scene Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8410-8423 (2024)
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Yi Zhou, Hui Zhang, Jiaqian Yu, Yifan Yang, Sangil Jung, Seung-In Park, ByungIn Yoo:
HIMap: HybrId Representation Learning for End-to-end Vectorized HD Map Construction. CVPR 2024: 15396-15406
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Xiaoshuai Hao, Ruikai Li, Hui Zhang, Dingzhe Li, Rong Yin, Sangil Jung, Seung-In Park, ByungIn Yoo, Haimei Zhao, Jing Zhang:
MapDistill: Boosting Efficient Camera-Based HD Map Construction via Camera-LiDAR Fusion Model Distillation. ECCV (3) 2024: 166-183
[c9]
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Xiaoshuai Hao, Hui Zhang, Yifan Yang, Yi Zhou, Sangil Jung, Seung-In Park, ByungIn Yoo:
MBFusion: A New Multi-modal BEV Feature Fusion Method for HD Map Construction. ICRA 2024: 15922-15928
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Yi Zhou, Hui Zhang, Jiaqian Yu, Yifan Yang, Sangil Jung, Seung-In Park, ByungIn Yoo:
HIMap: HybrId Representation Learning for End-to-end Vectorized HD Map Construction. CoRR abs/2403.08639 (2024)
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Xiaoshuai Hao, Ruikai Li, Hui Zhang, Dingzhe Li, Rong Yin, Sangil Jung, Seung-In Park, ByungIn Yoo, Haimei Zhao, Jing Zhang:
MapDistill: Boosting Efficient Camera-based HD Map Construction via Camera-LiDAR Fusion Model Distillation. CoRR abs/2407.11682 (2024)
2023
[c8]
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Hyeongseok Son, Sangil Jung, Solae Lee, Seongeun Kim, Seung-In Park, ByungIn Yoo:
Object-Centric Multi-Task Learning for Human Instances. BMVC 2023: 82-83
[i1]
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Hyeongseok Son, Sangil Jung, Solae Lee, Seongeun Kim, Seung-In Park, ByungIn Yoo:
Object-Centric Multi-Task Learning for Human Instances. CoRR abs/2303.06800 (2023)

2010 – 2019

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2015
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Chao Peng, Bing Fang, Francis K. H. Quek, Yong Cao, Seung In Park, Liguang Xie:
Upper Body Tracking and 3D Gesture Reconstruction Using Agent-Based Architecture. Int. J. Image Graph. 15(4): 1550016:1-1550016:24 (2015)
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Seung In Park, Yong Cao, Layne T. Watson, Francis K. H. Quek:
Performance analysis of a novel GPU computation-to-core mapping scheme for robust facet image modeling. J. Real Time Image Process. 10(3): 485-500 (2015)
2013
[b1]
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Seung In Park:
Modeling Social Group Interactions for Realistic Crowd Behaviors. Virginia Tech, Blacksburg, VA, USA, 2013
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Seung In Park, Francis K. H. Quek, Yong Cao:
Simulating and animating social dynamics: embedding small pedestrian groups in crowds. Comput. Animat. Virtual Worlds 24(3-4): 155-164 (2013)
2012
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Seung In Park, Francis K. H. Quek, Yong Cao:
Modeling Agent Social Joint Actions via Micro and Macro Coordination Strategies. IAT 2012: 180-187
[c6]
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Seung In Park, Chao Peng, Francis K. H. Quek, Yong Cao:
A Crowd Modeling Framework for Socially Plausible Animation Behaviors. MIG 2012: 146-157
[c5]
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Seung In Park, Yong Cao, Francis K. H. Quek:
Modeling small group behaviors in large crowd simulation. I3D 2012: 213
[c4]
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Seung In Park, Francis K. H. Quek, Yong Cao:
Modeling social groups in crowds using common ground theory. WSC 2012: 113:1-113:12
2011
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Chao Peng, Seung In Park, Yong Cao, Jie Tian:
A Real-Time System for Crowd Rendering: Parallel LOD and Texture-Preserving Approach on GPU. MIG 2011: 27-38
2010
[c2]
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Seung In Park, Yong Cao, Layne T. Watson:
A Novel Computation-to-core Mapping Scheme for Robust Facet Image Modeling on GPUs. PDPTA 2010: 189-195

2000 – 2009

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2008
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Seung In Park, Sean P. Ponce, Jing Huang, Yong Cao, Francis K. H. Quek:
Low-cost, high-speed computer vision using NVIDIA's CUDA architecture. AIPR 2008: 1-7

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