Sejong Yoon

47 papers A* 10C 3Journal 15Unranked 19
YearRankTypeTitle / Venue / Authors
2026 — conf
SightBySound: Real-Time Sonification of Stereo Depth Maps Using Hilbert Curves for Assistive Navigation Supported by a Virtual Training Environment.
AIxVR
Milian Ingco, Sejong Yoon
2024 A* conf
Learning from Synthetic Human Group Activities.
CVPR
Che-Jui Chang, Danrui Li, Deep Patel, Parth Goel, Honglu Zhou, Seonghyeon Moon, Samuel S. Sohn, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia
2024 — conf
MiRODES: Mini Intelligent Robot for On-campus Domain-specific Event Support.
HRI (Companion)
Mila Manzano, Kristen O'Donnell, Eden Espinosa, Sejong Yoon
2024 — conf
Toward Realistic Human Crowd Simulations with Data-Driven Parameter Space Exploration.
AIxVR
Kaidong Hu, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia
2024 — conf
TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory Prediction.
ICPR (29)
Tony Qingze Liu, Danrui Li, Samuel S. Sohn, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic
2024 J jnl
TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory Prediction.
CoRR
Qingze Liu, Danrui Li, Samuel S. Sohn, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic
2023 J jnl
Learning from Synthetic Human Group Activities.
CoRR
Che-Jui Chang, Honglu Zhou, Parth Goel, Aditya Bhat, Seonghyeon Moon, Samuel S. Sohn, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia
2023 A* conf
MSI: Maximize Support-Set Information for Few-Shot Segmentation.
ICCV
Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia
2022 J jnl
A2X: An end-to-end framework for assessing agent and environment interactions in multimodal human trajectory prediction.
Comput. Graph.
Samuel S. Sohn, Mihee Lee, Seonghyeon Moon, Gang Qiao, Muhammad Usman, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia
2022 J jnl
An Information-Theoretic Approach for Estimating Scenario Generalization in Crowd Motion Prediction.
CoRR
Gang Qiao, Kaidong Hu, Seonghyeon Moon, Samuel S. Sohn, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic
2022 — conf
HM: Hybrid Masking for Few-Shot Segmentation.
ECCV (20)
Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia
2022 J jnl
HMFS: Hybrid Masking for Few-Shot Segmentation.
CoRR
Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia
2022 A* conf
Harnessing Fourier Isovists and Geodesic Interaction for Long-Term Crowd Flow Prediction.
IJCAI
Samuel S. Sohn, Seonghyeon Moon, Honglu Zhou, Mihee Lee, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia
2022 J jnl
MSI: Maximize Support-Set Information for Few-Shot Segmentation.
CoRR
Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia
2022 A* conf
MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction.
CVPR
Mihee Lee, Samuel S. Sohn, Seonghyeon Moon, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic
2022 J jnl
MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction.
CoRR
Mihee Lee, Samuel S. Sohn, Seonghyeon Moon, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic
2021 C conf
A2X: An Agent and Environment Interaction Benchmark for Multimodal Human Trajectory Prediction.
MIG
Samuel S. Sohn, Mihee Lee, Seonghyeon Moon, Gang Qiao, Muhammad Usman, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia
2021 — conf
Constructivist Approaches for Computational Emotions: A Systematic Survey.
ToM for Teams
Alexander Viola, Vladimir Pavlovic, Sejong Yoon
2020 — conf
Laying the Foundations of Deep Long-Term Crowd Flow Prediction.
ECCV (29)
Samuel S. Sohn, Honglu Zhou, Seonghyeon Moon, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia
2020 A* conf
Model AI Assignments 2020.
AAAI
Todd W. Neller, Stephen Keeley, Michael Guerzhoy, Wolfgang Hönig, Jiaoyang Li, Sven Koenig, Ameet Soni, Krista Thomason, Lisa Zhang, Bibin Sebastian, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, Kumar Krishna Agrawal, James Allingham, Sejong Yoon, Jonathan Chen, Tom Larsen, Marion Neumann, Narges Norouzi, Ryan Hausen, Matthew Evett
2020 J jnl
Predicting Crowd Egress and Environment Relationships to Support Building Design Optimization.
Comput. Graph.
Kaidong Hu, Sejong Yoon, Vladimir Pavlovic, Petros Faloutsos, Mubbasir Kapadia
2019 — conf
A Hybrid Approach for Video Memorability Prediction.
MediaEval
Alexander Viola, Sejong Yoon
2019 A* conf
A Neural Network Approach for Birds of a Feather Solvability Prediction.
AAAI
Benjamin Sang, Sejong Yoon
2019 J jnl
Deep Crowd-Flow Prediction in Built Environments.
CoRR
Samuel S. Sohn, Seonghyeon Moon, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia
2019 C conf
Scenario Generalization of Data-driven Imitation Models in Crowd Simulation.
MIG
Gang Qiao, Honglu Zhou, Mubbasir Kapadia, Sejong Yoon, Vladimir Pavlovic
2019 J jnl
Scenario Generalization of Data-driven Imitation Models in Crowd Simulation.
CoRR
Gang Qiao, Honglu Zhou, Mubbasir Kapadia, Sejong Yoon, Vladimir Pavlovic
2018 — conf
Object-Centric Scene Understanding for Image Memorability Prediction.
MIPR
Sejong Yoon, Jongpil Kim
2018 — conf
Predicting Memorability via Early Fusion Deep Neural Network.
MediaEval
Aaron Weiss, Benjamin Sang, Sejong Yoon
2018 A* conf
The Role of Data-Driven Priors in Multi-Agent Crowd Trajectory Estimation.
AAAI
Gang Qiao, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic
2017 C conf
Characterizing the relationship between environment layout and crowd movement using machine learning.
MIG
Weining Liu, Vladimir Pavlovic, Kaidong Hu, Petros Faloutsos, Sejong Yoon, Mubbasir Kapadia
2017 — conf
TCNJ-CS@MediaEval 2017 Emotional Impact of Movie Task.
MediaEval
Sejong Yoon
2017 — conf
TCNJ-CS@MediaEval 2017 Predicting Media Interestingness Task.
MediaEval
Sejong Yoon
2017 J jnl
The Role of Data-driven Priors in Multi-agent Crowd Trajectory Estimation.
CoRR
Gang Qiao, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic
2016 A* conf
Decentralized Approximate Bayesian Inference for Distributed Sensor Network.
AAAI
Behnam Gholami, Sejong Yoon, Vladimir Pavlovic
2016 A* conf
Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty.
AAAI
Changkyu Song, Sejong Yoon, Vladimir Pavlovic
2016 — conf
Filling in the blanks: reconstructing microscopic crowd motion from multiple disparate noisy sensors.
WACV Workshops
Sejong Yoon, Mubbasir Kapadia, Pritish Sahu, Vladimir Pavlovic
2015 J jnl
D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM.
CoRR
Behnam Babagholami-Mohamadabadi, Sejong Yoon, Vladimir Pavlovic
2015 J jnl
Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty.
CoRR
Changkyu Song, Sejong Yoon, Vladimir Pavlovic
2015 — conf
Mean field variational inference using bregman ADMM for distributed camera network.
ICDSC
Behnam Babagholami-Mohamadabadi, Sejong Yoon, Vladimir Pavlovic
2014 — conf
Sentiment Flow for Video Interestingness Prediction.
HuEvent@MM
Sejong Yoon, Vladimir Pavlovic
2013 A* conf
Relative spatial features for image memorability.
ACM Multimedia
Jongpil Kim, Sejong Yoon, Vladimir Pavlovic
2012 — conf
Distributed Probabilistic Learning for Camera Networks with Missing Data.
NIPS
Sejong Yoon, Vladimir Pavlovic
2011 — conf
PR-RAM: The Page Rank Routing Algorithm Method in Ad-hoc wireless networks.
CCNC
Sejong Yoon, Doohyun Ko, Sanghoon Koh, Heungwoo Nam, Sunshin An
2009 J jnl
AdaBoost-based multiple SVM-RFE for classification of mammograms in DDSM.
BMC Medical Informatics Decis. Mak.
Sejong Yoon, Saejoon Kim
2009 — conf
Multiple SVM-RFE Using Boosting for Mammogram Classification.
CSO (1)
Sejong Yoon, Saejoon Kim
2009 J jnl
Mutual information-based SVM-RFE for diagnostic classification of digitized mammograms.
Pattern Recognit. Lett.
Sejong Yoon, Saejoon Kim
2007 — conf
Computer-Aided Diagnosis of Cross-Institutional Mammograms Using Support Vector Machines with Feature Elimination.
FBIT
Saejoon Kim, Sejong Yoon, Donghyuk Shin