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ORCIDSejong Yoon
- > Home > Persons > Sejong Yoon
Publications
- 2024
[c31]Kaidong Hu, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia:
Toward Realistic Human Crowd Simulations with Data-Driven Parameter Space Exploration. AIxVR 2024: 221-225- [c30]Che-Jui Chang, Danrui Li, Deep Patel, Parth Goel, Honglu Zhou, Seonghyeon Moon, Samuel S. Sohn, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia:
Learning from Synthetic Human Group Activities. CVPR 2024: 21922-21932 - [c28]Tony Qingze Liu, Danrui Li, Samuel S. Sohn, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic:
TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory Prediction. ICPR (29) 2024: 382-397 - [i11]Qingze Liu, Danrui Li, Samuel S. Sohn, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic:
TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory Prediction. CoRR abs/2410.10804 (2024) - 2023
- [c27]Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia:
MSI: Maximize Support-Set Information for Few-Shot Segmentation. ICCV 2023: 19209-19219 - [i10]Che-Jui Chang, Honglu Zhou, Parth Goel, Aditya Bhat, Seonghyeon Moon, Samuel S. Sohn, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia:
Learning from Synthetic Human Group Activities. CoRR abs/2306.16772 (2023) - 2022
- [j5]Samuel S. Sohn
, Mihee Lee, Seonghyeon Moon, Gang Qiao, Muhammad Usman, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia:
A2X: An end-to-end framework for assessing agent and environment interactions in multimodal human trajectory prediction. Comput. Graph. 106: 130-140 (2022) - [c26]Mihee Lee, Samuel S. Sohn, Seonghyeon Moon, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic:
MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction. CVPR 2022: 2211-2220 - [c25]Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia:
HM: Hybrid Masking for Few-Shot Segmentation. ECCV (20) 2022: 506-523 - [c24]Samuel S. Sohn, Seonghyeon Moon, Honglu Zhou, Mihee Lee, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia:
Harnessing Fourier Isovists and Geodesic Interaction for Long-Term Crowd Flow Prediction. IJCAI 2022: 1328-1334 - [i9]Mihee Lee, Samuel S. Sohn, Seonghyeon Moon, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic:
MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction. CoRR abs/2201.07189 (2022) - [i8]Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia:
HMFS: Hybrid Masking for Few-Shot Segmentation. CoRR abs/2203.12826 (2022) - [i7]Gang Qiao, Kaidong Hu, Seonghyeon Moon, Samuel S. Sohn, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic:
An Information-Theoretic Approach for Estimating Scenario Generalization in Crowd Motion Prediction. CoRR abs/2211.00817 (2022) - [i6]Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia:
MSI: Maximize Support-Set Information for Few-Shot Segmentation. CoRR abs/2212.04673 (2022) - 2021
- [c23]Samuel S. Sohn, Mihee Lee, Seonghyeon Moon, Gang Qiao, Muhammad Usman, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia:
A2X: An Agent and Environment Interaction Benchmark for Multimodal Human Trajectory Prediction. MIG 2021: 19:1-19:9 - 2020
- [j4]Kaidong Hu, Sejong Yoon, Vladimir Pavlovic, Petros Faloutsos, Mubbasir Kapadia:
Predicting Crowd Egress and Environment Relationships to Support Building Design Optimization. Comput. Graph. 88: 83-96 (2020) - [c20]Samuel S. Sohn, Honglu Zhou, Seonghyeon Moon, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia:
Laying the Foundations of Deep Long-Term Crowd Flow Prediction. ECCV (29) 2020: 711-728 - 2019
- [c17]Gang Qiao, Honglu Zhou, Mubbasir Kapadia, Sejong Yoon, Vladimir Pavlovic:
Scenario Generalization of Data-driven Imitation Models in Crowd Simulation. MIG 2019: 36:1-36:11 - [i5]Gang Qiao, Honglu Zhou, Mubbasir Kapadia, Sejong Yoon, Vladimir Pavlovic:
Scenario Generalization of Data-driven Imitation Models in Crowd Simulation. CoRR abs/1910.00738 (2019) - [i4]Samuel S. Sohn, Seonghyeon Moon, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia:
Deep Crowd-Flow Prediction in Built Environments. CoRR abs/1910.05810 (2019) - 2018
- [c16]Gang Qiao, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic:
The Role of Data-Driven Priors in Multi-Agent Crowd Trajectory Estimation. AAAI 2018: 4710-4717 - 2017
- [c11]Weining Liu, Vladimir Pavlovic, Kaidong Hu, Petros Faloutsos, Sejong Yoon, Mubbasir Kapadia:
Characterizing the relationship between environment layout and crowd movement using machine learning. MIG 2017: 2:1-2:6 - [i3]Gang Qiao, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic:
The Role of Data-driven Priors in Multi-agent Crowd Trajectory Estimation. CoRR abs/1710.03354 (2017) - 2016
- [c8]Sejong Yoon, Mubbasir Kapadia, Pritish Sahu, Vladimir Pavlovic:
Filling in the blanks: reconstructing microscopic crowd motion from multiple disparate noisy sensors. WACV Workshops 2016: 1-9
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