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Seonghyeon Moon
Seonghyeon Moon
Rutgers University
Подтвержден адрес электронной почты в домене cs.rutgers.edu - Главная страница
Название
Процитировано
Процитировано
Год
Muse-vae: Multi-scale vae for environment-aware long term trajectory prediction
M Lee, SS Sohn, S Moon, S Yoon, M Kapadia, V Pavlovic
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
352022
Deep integration of physical humanoid control and crowd navigation
B Haworth, G Berseth, S Moon, P Faloutsos, M Kapadia
Proceedings of the 13th ACM SIGGRAPH Conference on Motion, Interaction and …, 2020
232020
Laying the foundations of deep long-term crowd flow prediction
SS Sohn, H Zhou, S Moon, S Yoon, V Pavlovic, M Kapadia
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
222020
JOIN: an integrated platform for joint simulation of occupant-building interactions
D Schaumann, S Moon, M Usman, R Goldstein, S Breslav, A Khan, ...
Architectural Science Review 63 (3-4), 339-350, 2020
122020
Hm: Hybrid masking for few-shot segmentation
S Moon, SS Sohn, H Zhou, S Yoon, V Pavlovic, MH Khan, M Kapadia
European Conference on Computer Vision, 506-523, 2022
102022
Toward a multi-level and multi-paradigm platform for building occupant simulation
D Schaumann, S Moon, M Usman, R Goldstein, S Breslav, A Khan, ...
Symposium on Simulation for Architecture and Urban Design, 169-176, 2019
102019
A point projection approach for improving the accuracy of the multilevel B-spline approximation
S Moon, K Ko
Journal of Computational Design and Engineering 5 (2), 173-179, 2018
102018
A2x: An agent and environment interaction benchmark for multimodal human trajectory prediction
SS Sohn, M Lee, S Moon, G Qiao, M Usman, S Yoon, V Pavlovic, ...
Proceedings of the 14th ACM SIGGRAPH Conference on Motion, Interaction and …, 2021
82021
Msi: maximize support-set information for few-shot segmentation
S Moon, SS Sohn, H Zhou, S Yoon, V Pavlovic, MH Khan, M Kapadia
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
52023
Deep crowd-flow prediction in built environments
SS Sohn, S Moon, H Zhou, S Yoon, V Pavlovic, M Kapadia
arXiv preprint arXiv:1910.05810, 2019
52019
A Multiscale Geospatial Dataset and an Interactive Visualization Dashboard for Computational Epidemiology and Open Scientific Research
M Usman, H Zhou, S Moon, X Zhang, P Faloutsos, M Kapadia
IEEE computer graphics and applications 43 (1), 39-52, 2022
32022
The role of latent representations for design space exploration of floorplans
V Azizi, M Usman, SS Sohn, M Schwartz, S Moon, P Faloutsos, ...
Simulation 99 (11), 1167-1179, 2023
22023
An information-theoretic approach for estimating scenario generalization in crowd motion prediction
G Qiao, K Hu, S Moon, SS Sohn, S Yoon, M Kapadia, V Pavlovic
arXiv preprint arXiv:2211.00817, 2022
22022
A2X: An end-to-end framework for assessing agent and environment interactions in multimodal human trajectory prediction
SS Sohn, M Lee, S Moon, G Qiao, M Usman, S Yoon, V Pavlovic, ...
Computers & Graphics 106, 130-140, 2022
22022
Harnessing fourier isovists and geodesic interaction for long-term crowd flow prediction
SS Sohn, S Moon, H Zhou, M Lee, S Yoon, V Pavlovic, M Kapadia
Thirty-First International Joint Conference on Artificial Intelligence (IJCAI), 2022
22022
Multi-agent hierarchical reinforcement learning for humanoid navigation
G Berseth, S Moon, M Kapadia, P Faloutsos
22019
Dynamic correction of image distortions for a kinect-projector system
J Park, S Moon, K Ko
Václav Skala-UNION Agency, 2018
12018
On the Equivalency, Substitutability, and Flexibility of Synthetic Data
CJ Chang, D Li, S Moon, M Kapadia
arXiv preprint arXiv:2403.16244, 2024
2024
Learning from Synthetic Human Group Activities
CJ Chang, H Zhou, P Goel, A Bhat, S Moon, SS Sohn, S Yoon, V Pavlovic, ...
arXiv preprint arXiv:2306.16772, 2023
2023
Adaptive method for 2.5 D scattered point approximation
SH Moon, JH Park, KH Ko
Proceedings of the 23rd ACM Symposium on Virtual Reality Software and …, 2017
2017
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Статьи 1–20