Sejong Yoon

According to our database, Sejong Yoon authored at least 38 papers between 2007 and 2024.

Collaborative distances:

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

2024

MiRODES: Mini Intelligent Robot for On-campus Domain-specific Event Support.

Mila Manzano, Kristen O'Donnell, Eden Espinosa, Sejong Yoon

Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

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

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

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

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

Constructivist Approaches for Computational Emotions: A Systematic Survey.

Alexander Viola, Vladimir Pavlovic, Sejong Yoon

Proceedings of the Computational Theory of Mind for Human-Machine Teams, 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

Predicting Crowd Egress and Environment Relationships to Support Building Design Optimization.

Kaidong Hu, Sejong Yoon, Vladimir Pavlovic, Petros Faloutsos, Mubbasir Kapadia

Comput. Graph., 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

Model AI Assignments 2020.

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Deep Crowd-Flow Prediction in Built Environments.

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

CoRR, 2019

Scenario Generalization of Data-driven Imitation Models in Crowd Simulation.

Gang Qiao, Honglu Zhou, Mubbasir Kapadia, Sejong Yoon, Vladimir Pavlovic

Proceedings of the Motion, Interaction and Games, 2019

A Hybrid Approach for Video Memorability Prediction.

Alexander Viola, Sejong Yoon

Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

A Neural Network Approach for Birds of a Feather Solvability Prediction.

Benjamin Sang, Sejong Yoon

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Object-Centric Scene Understanding for Image Memorability Prediction.

Sejong Yoon, Jongpil Kim

Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018

Predicting Memorability via Early Fusion Deep Neural Network.

Aaron Weiss, Benjamin Sang, Sejong Yoon

Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

The Role of Data-Driven Priors in Multi-Agent Crowd Trajectory Estimation.

Gang Qiao, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Characterizing the relationship between environment layout and crowd movement using machine learning.

Weining Liu, Vladimir Pavlovic, Kaidong Hu, Petros Faloutsos, Sejong Yoon, Mubbasir Kapadia

Proceedings of the Tenth International Conference on Motion in Games, 2017

TCNJ-CS@MediaEval 2017 Emotional Impact of Movie Task.

Sejong Yoon

Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017

TCNJ-CS@MediaEval 2017 Predicting Media Interestingness Task.

Sejong Yoon

Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017

2016

Filling in the blanks: reconstructing microscopic crowd motion from multiple disparate noisy sensors.

Sejong Yoon, Mubbasir Kapadia, Pritish Sahu, Vladimir Pavlovic

Proceedings of the 2016 IEEE Winter Applications of Computer Vision Workshops, 2016

Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty.

Changkyu Song, Sejong Yoon, Vladimir Pavlovic

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Decentralized Approximate Bayesian Inference for Distributed Sensor Network.

Behnam Gholami, Sejong Yoon, Vladimir Pavlovic

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM.

Behnam Babagholami-Mohamadabadi, Sejong Yoon, Vladimir Pavlovic

CoRR, 2015

Mean field variational inference using bregman ADMM for distributed camera network.

Behnam Babagholami-Mohamadabadi, Sejong Yoon, Vladimir Pavlovic

Proceedings of the 9th International Conference on Distributed Smart Camera, 2015

2014

Sentiment Flow for Video Interestingness Prediction.

Sejong Yoon, Vladimir Pavlovic

Proceedings of the 1st ACM International Workshop on Human Centered Event Understanding from Multimedia, 2014

2013

Relative spatial features for image memorability.

Jongpil Kim, Sejong Yoon, Vladimir Pavlovic

Proceedings of the ACM Multimedia Conference, 2013

2012

Distributed Probabilistic Learning for Camera Networks with Missing Data.

Sejong Yoon, Vladimir Pavlovic

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

PR-RAM: The Page Rank Routing Algorithm Method in Ad-hoc wireless networks.

Sejong Yoon, Doohyun Ko, Sanghoon Koh, Heungwoo Nam, Sunshin An

Proceedings of the 2011 IEEE Consumer Communications and Networking Conference, 2011

2010

<i>k</i>-Top Scoring Pair Algorithm for feature selection in SVM with applications to microarray data classification.

Sejong Yoon, Saejoon Kim

Soft Comput., 2010

2009

Mutual information-based SVM-RFE for diagnostic classification of digitized mammograms.

Sejong Yoon, Saejoon Kim

Pattern Recognit. Lett., 2009

AdaBoost-based multiple SVM-RFE for classification of mammograms in DDSM.

Sejong Yoon, Saejoon Kim

BMC Medical Informatics Decis. Mak., 2009

Multiple SVM-RFE Using Boosting for Mammogram Classification.

Sejong Yoon, Saejoon Kim

Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009

2007

Computer-Aided Diagnosis of Cross-Institutional Mammograms Using Support Vector Machines with Feature Elimination.

Saejoon Kim, Sejong Yoon, Donghyuk Shin

Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies 2007, 2007