Seonghyeon Moon

According to our database, Seonghyeon Moon authored at least 24 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Success or Failure? Analyzing Segmentation Refinement with Few-Shot Segmentation.

Seonghyeon Moon, Haein Kong, Muhammad Haris Khan

CoRR, 2024

On the Equivalency, Substitutability, and Flexibility of Synthetic Data.

Che-Jui Chang, Danrui Li, Seonghyeon Moon, Mubbasir Kapadia

CoRR, 2024

RU at WASSA 2024 Shared Task: Task-Aligned Prompt for Predicting Empathy and Distress.

Haein Kong, Seonghyeon Moon

Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, 2024

Learning from Synthetic Human Group Activities.

Che-Jui Chang, Danrui Li, Deep Patel, Parth Goel, Honglu Zhou, Seonghyeon Moon, Samuel S. Sohn, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

The role of latent representations for design space exploration of floorplans.

Vahid Azizi, Muhammad Usman, Samuel S. Sohn, Mathew Schwartz, Seonghyeon Moon, Petros Faloutsos, Mubbasir Kapadia

Simul., November, 2023

Development of a real-time noise estimation model for construction sites.

Gitaek Lee, Seonghyeon Moon, Jaehyun Hwang, Seokho Chi

Adv. Eng. Informatics, October, 2023

Learning from Synthetic Human Group Activities.

Che-Jui Chang, Honglu Zhou, Parth Goel, Aditya Bhat, Seonghyeon Moon, Samuel S. Sohn, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia

CoRR, 2023

A Multiscale Geospatial Dataset and an Interactive Visualization Dashboard for Computational Epidemiology and Open Scientific Research.

Muhammad Usman, Honglu Zhou, Seonghyeon Moon, Xun Zhang, Petros Faloutsos, Mubbasir Kapadia

IEEE Computer Graphics and Applications, 2023

MSI: Maximize Support-Set Information for Few-Shot Segmentation.

Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

An Information-Theoretic Approach for Estimating Scenario Generalization in Crowd Motion Prediction.

Gang Qiao, Kaidong Hu, Seonghyeon Moon, Samuel S. Sohn, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic

CoRR, 2022

HMFS: Hybrid Masking for Few-Shot Segmentation.

Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia

CoRR, 2022

A2X: An end-to-end framework for assessing agent and environment interactions in multimodal human trajectory prediction.

Samuel S. Sohn, Mihee Lee, Seonghyeon Moon, Gang Qiao, Muhammad Usman, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia

Comput. Graph., 2022

Corrigendum to "Automated system for construction specification review using natural language processing" [Adv. Eng. Inf. 51 (2022) 101495].

Seonghyeon Moon, Gitaek Lee, Seokho Chi

Adv. Eng. Informatics, 2022

Automated system for construction specification review using natural language processing.

Seonghyeon Moon, Gitaek Lee, Seokho Chi

Adv. Eng. Informatics, 2022

Harnessing Fourier Isovists and Geodesic Interaction for Long-Term Crowd Flow Prediction.

Samuel S. Sohn, Seonghyeon Moon, Honglu Zhou, Mihee Lee, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Feasibility Study of a BERT-based Question Answering Chatbot for Information Retrieval from Construction Specifications.

Jungyeon Kim, Sehwan Chung, Seonghyeon Moon, Seokho Chi

Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2022

HM: Hybrid Masking for Few-Shot Segmentation.

Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia

Proceedings of the Computer Vision - ECCV 2022, 2022

MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction.

Mihee Lee, Samuel S. Sohn, Seonghyeon Moon, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

A2X: An Agent and Environment Interaction Benchmark for Multimodal Human Trajectory Prediction.

Samuel S. Sohn, Mihee Lee, Seonghyeon Moon, Gang Qiao, Muhammad Usman, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia

Proceedings of the MIG '21: Motion, 2021

2020

Deep Integration of Physical Humanoid Control and Crowd Navigation.

M. Brandon Haworth, Glen Berseth, Seonghyeon Moon, Petros Faloutsos, Mubbasir Kapadia

Proceedings of the MIG '20: Motion, 2020

Laying the Foundations of Deep Long-Term Crowd Flow Prediction.

Samuel S. Sohn, Honglu Zhou, Seonghyeon Moon, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Deep Crowd-Flow Prediction in Built Environments.

Samuel S. Sohn, Seonghyeon Moon, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia

CoRR, 2019

2018

Dynamic Correction of Image Distortions for a Kinect-Projector System.

Jihoon Park, Seonghyeon Moon, Kwanghee Ko

J. WSCG, 2018

A point projection approach for improving the accuracy of the multilevel B-spline approximation.

Seonghyeon Moon, Kwanghee Ko

J. Comput. Des. Eng., 2018