Sejong Yoon

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 34

Top Topics

Group Activities

Variational Inference

Motion Prediction

Top Venues

Publications

Mila Manzano, Kristen O'Donnell, Eden Espinosa, Sejong Yoon
MiRODES: Mini Intelligent Robot for On-campus Domain-specific Event Support. HRI (Companion) (2024)
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)
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 (2023)
Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia
HMFS: Hybrid Masking for Few-Shot Segmentation. CoRR (2022)
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 (2022)
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)
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 (2022)
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)
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)
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 (2022)
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 (2022)
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)
Alexander Viola, Vladimir Pavlovic, Sejong Yoon
Constructivist Approaches for Computational Emotions: A Systematic Survey. ToM for Teams (2021)
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
Model AI Assignments 2020. AAAI (2020)
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)
Kaidong Hu, Sejong Yoon, Vladimir Pavlovic, Petros Faloutsos, Mubbasir Kapadia
Predicting Crowd Egress and Environment Relationships to Support Building Design Optimization. Comput. Graph. 88 (2020)
Samuel S. Sohn, Seonghyeon Moon, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia
Deep Crowd-Flow Prediction in Built Environments. CoRR (2019)
Gang Qiao, Honglu Zhou, Mubbasir Kapadia, Sejong Yoon, Vladimir Pavlovic
Scenario Generalization of Data-driven Imitation Models in Crowd Simulation. MIG (2019)
Gang Qiao, Honglu Zhou, Mubbasir Kapadia, Sejong Yoon, Vladimir Pavlovic
Scenario Generalization of Data-driven Imitation Models in Crowd Simulation. CoRR (2019)
Alexander Viola, Sejong Yoon
A Hybrid Approach for Video Memorability Prediction. MediaEval (2019)
Benjamin Sang, Sejong Yoon
A Neural Network Approach for Birds of a Feather Solvability Prediction. AAAI (2019)
Gang Qiao, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic
The Role of Data-Driven Priors in Multi-Agent Crowd Trajectory Estimation. AAAI (2018)
Aaron Weiss, Benjamin Sang, Sejong Yoon
Predicting Memorability via Early Fusion Deep Neural Network. MediaEval (2018)
Sejong Yoon, Jongpil Kim
Object-Centric Scene Understanding for Image Memorability Prediction. MIPR (2018)
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)
Gang Qiao, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic
The Role of Data-driven Priors in Multi-agent Crowd Trajectory Estimation. CoRR (2017)
Sejong Yoon
TCNJ-CS@MediaEval 2017 Emotional Impact of Movie Task. MediaEval (2017)
Sejong Yoon
TCNJ-CS@MediaEval 2017 Predicting Media Interestingness Task. MediaEval (2017)
Behnam Gholami, Sejong Yoon, Vladimir Pavlovic
Decentralized Approximate Bayesian Inference for Distributed Sensor Network. AAAI (2016)
Changkyu Song, Sejong Yoon, Vladimir Pavlovic
Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty. AAAI (2016)
Sejong Yoon, Mubbasir Kapadia, Pritish Sahu, Vladimir Pavlovic
Filling in the blanks: reconstructing microscopic crowd motion from multiple disparate noisy sensors. WACV Workshops (2016)
Changkyu Song, Sejong Yoon, Vladimir Pavlovic
Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty. CoRR (2015)
Behnam Babagholami-Mohamadabadi, Sejong Yoon, Vladimir Pavlovic
D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM. CoRR (2015)
Behnam Babagholami-Mohamadabadi, Sejong Yoon, Vladimir Pavlovic
Mean field variational inference using bregman ADMM for distributed camera network. ICDSC (2015)
Sejong Yoon, Vladimir Pavlovic
Sentiment Flow for Video Interestingness Prediction. HuEvent@MM (2014)
Jongpil Kim, Sejong Yoon, Vladimir Pavlovic
Relative spatial features for image memorability. ACM Multimedia (2013)
Sejong Yoon, Vladimir Pavlovic
Distributed Probabilistic Learning for Camera Networks with Missing Data. NIPS (2012)
Sejong Yoon, Doohyun Ko, Sanghoon Koh, Heungwoo Nam, Sunshin An
PR-RAM: The Page Rank Routing Algorithm Method in Ad-hoc wireless networks. CCNC (2011)
Sejong Yoon, Saejoon Kim
-Top Scoring Pair Algorithm for feature selection in SVM with applications to microarray data classification. Soft Comput. 14 (2) (2010)
Sejong Yoon, Saejoon Kim
AdaBoost-based multiple SVM-RFE for classification of mammograms in DDSM. BMC Medical Informatics Decis. Mak. 9 (S-1) (2009)
Sejong Yoon, Saejoon Kim
Mutual information-based SVM-RFE for diagnostic classification of digitized mammograms. Pattern Recognit. Lett. 30 (16) (2009)
Sejong Yoon, Saejoon Kim
Multiple SVM-RFE Using Boosting for Mammogram Classification. CSO (1) (2009)
Saejoon Kim, Sejong Yoon, Donghyuk Shin
Computer-Aided Diagnosis of Cross-Institutional Mammograms Using Support Vector Machines with Feature Elimination. FBIT (2007)