Computer-Aided Diagnosis of Cross-Institutional Mammograms Using Support Vector Machines with Feature Elimination. - Saejoon Kim; Sejong Yoon; Donghyuk Shin (FBIT, 2007)

Multiple SVM-RFE Using Boosting for Mammogram Classification. - Sejong Yoon; Saejoon Kim (CSO (1), 2009)

AdaBoost-based multiple SVM-RFE for classification of mammograms in DDSM. - Sejong Yoon; Saejoon Kim (BMC Medical Informatics Decis. Mak., 2009)

Mutual information-based SVM-RFE for diagnostic classification of digitized mammograms. - Sejong Yoon; Saejoon Kim (Pattern Recognit. Lett., 2009)

k-Top Scoring Pair Algorithm for feature selection in SVM with applications to microarray data classification. - Sejong Yoon; Saejoon Kim (Soft Comput., 2010)

PR-RAM: The Page Rank Routing Algorithm Method in Ad-hoc wireless networks. - Sejong Yoon; Doohyun Ko; Sanghoon Koh; Heungwoo Nam; Sunshin An (CCNC, 2011)

Distributed Probabilistic Learning for Camera Networks with Missing Data. - Sejong Yoon; Vladimir Pavlovic 001 (NIPS, 2012)

Relative spatial features for image memorability. - Jongpil Kim; Sejong Yoon; Vladimir Pavlovic 001 (ACM Multimedia, 2013)

Sentiment Flow for Video Interestingness Prediction. - Sejong Yoon; Vladimir Pavlovic 001 (HuEvent@MM, 2014)

Mean field variational inference using bregman ADMM for distributed camera network. - Behnam Babagholami-Mohamadabadi; Sejong Yoon; Vladimir Pavlovic 001 (ICDSC, 2015)

D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM. - Behnam Babagholami-Mohamadabadi; Sejong Yoon; Vladimir Pavlovic 001 (CoRR, 2015)

Decentralized Approximate Bayesian Inference for Distributed Sensor Network. - Behnam Gholami; Sejong Yoon; Vladimir Pavlovic 001 (AAAI, 2016)

Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty. - Changkyu Song; Sejong Yoon; Vladimir Pavlovic 001 (AAAI, 2016)

Filling in the blanks: reconstructing microscopic crowd motion from multiple disparate noisy sensors. - Sejong Yoon; Mubbasir Kapadia; Pritish Sahu; Vladimir Pavlovic 001 (WACV Workshops, 2016)

TCNJ-CS@MediaEval 2017 Predicting Media Interestingness Task. - Sejong Yoon (MediaEval, 2017)

TCNJ-CS@MediaEval 2017 Emotional Impact of Movie Task. - Sejong Yoon (MediaEval, 2017)

Characterizing the relationship between environment layout and crowd movement using machine learning. - Weining Liu; Vladimir Pavlovic 001; Kaidong Hu; Petros Faloutsos; Sejong Yoon; Mubbasir Kapadia (MIG, 2017)

The Role of Data-Driven Priors in Multi-Agent Crowd Trajectory Estimation. - Gang Qiao; Sejong Yoon; Mubbasir Kapadia; Vladimir Pavlovic 001 (AAAI, 2018)

Predicting Memorability via Early Fusion Deep Neural Network. - Aaron Weiss; Benjamin Sang; Sejong Yoon (MediaEval, 2018)

Object-Centric Scene Understanding for Image Memorability Prediction. - Sejong Yoon; Jongpil Kim (MIPR, 2018)

A Neural Network Approach for Birds of a Feather Solvability Prediction. - Benjamin Sang; Sejong Yoon (AAAI, 2019)

A Hybrid Approach for Video Memorability Prediction. - Alexander Viola; Sejong Yoon (MediaEval, 2019)

Scenario Generalization of Data-driven Imitation Models in Crowd Simulation. - Gang Qiao; Honglu Zhou; Mubbasir Kapadia; Sejong Yoon; Vladimir Pavlovic 001 (MIG, 2019)

Deep Crowd-Flow Prediction in Built Environments. - Samuel S. Sohn; Seonghyeon Moon; Honglu Zhou; Sejong Yoon; Vladimir Pavlovic 001; Mubbasir Kapadia (CoRR, 2019)

Model AI Assignments 2020. - Todd W. Neller; Stephen Keeley; Michael Guerzhoy; Wolfgang Hönig; Jiaoyang Li 001; Sven Koenig; Ameet Soni; Krista Thomason; Lisa Zhang; Bibin Sebastian; Cinjon Resnick; Avital Oliver; et al. (AAAI, 2020)

Laying the Foundations of Deep Long-Term Crowd Flow Prediction. - Samuel S. Sohn; Honglu Zhou; Seonghyeon Moon; Sejong Yoon; Vladimir Pavlovic 001; Mubbasir Kapadia (ECCV (29), 2020)

Predicting Crowd Egress and Environment Relationships to Support Building Design Optimization. - Kaidong Hu; Sejong Yoon; Vladimir Pavlovic 001; Petros Faloutsos; Mubbasir Kapadia (Comput. Graph., 2020)

A2X: An Agent and Environment Interaction Benchmark for Multimodal Human Trajectory Prediction. - Samuel S. Sohn; Mihee Lee; Seonghyeon Moon; Gang Qiao; Muhammad Usman 010; Sejong Yoon; Vladimir Pavlovic 001; Mubbasir Kapadia (MIG, 2021)

Constructivist Approaches for Computational Emotions: A Systematic Survey. - Alexander Viola; Vladimir Pavlovic 001; Sejong Yoon (ToM for Teams, 2021)

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 001 (CVPR, 2022)

HM: Hybrid Masking for Few-Shot Segmentation. - Seonghyeon Moon; Samuel S. Sohn; Honglu Zhou; Sejong Yoon; Vladimir Pavlovic 001; Muhammad Haris Khan; Mubbasir Kapadia (ECCV (20), 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 001; Mubbasir Kapadia (IJCAI, 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 010; Sejong Yoon; Vladimir Pavlovic 001; Mubbasir Kapadia (Comput. Graph., 2022)

HMFS: Hybrid Masking for Few-Shot Segmentation. - Seonghyeon Moon; Samuel S. Sohn; Honglu Zhou; Sejong Yoon; Vladimir Pavlovic 001; Muhammad Haris Khan; Mubbasir Kapadia (CoRR, 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 001 (CoRR, 2022)

MSI: Maximize Support-Set Information for Few-Shot Segmentation. - Seonghyeon Moon; Samuel S. Sohn; Honglu Zhou; Sejong Yoon; Vladimir Pavlovic 001; Muhammad Haris Khan; Mubbasir Kapadia (ICCV, 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 001; Mubbasir Kapadia (CoRR, 2023)

Toward Realistic Human Crowd Simulations with Data-Driven Parameter Space Exploration. - Kaidong Hu; Sejong Yoon; Vladimir Pavlovic 001; Mubbasir Kapadia (AIxVR, 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 001; Mubbasir Kapadia (CVPR, 2024)

MiRODES: Mini Intelligent Robot for On-campus Domain-specific Event Support. - Mila Manzano; Kristen O'Donnell; Eden Espinosa; Sejong Yoon (HRI (Companion), 2024)

TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory Prediction. - Tony Qingze Liu; Danrui Li; Samuel S. Sohn; Sejong Yoon; Mubbasir Kapadia; Vladimir Pavlovic 001 (ICPR (29), 2024)

TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory Prediction. - Qingze Liu; Danrui Li; Samuel S. Sohn; Sejong Yoon; Mubbasir Kapadia; Vladimir Pavlovic 001 (CoRR, 2024)