Sejong Yoon

发表

TCNJ-CS@MediaEval 2017 Emotional Impact of Movie Task

Sejong Yoon, 2017, MediaEval.

The Role of Data-driven Priors in Multi-agent Crowd Trajectory Estimation pdf

Gang Qiao, Vladimir Pavlovic, Mubbasir Kapadia, 2017, AAAI.

TCNJ-CS@MediaEval 2017 Predicting Media Interestingness Task

Sejong Yoon, 2017, MediaEval.

Laying the Foundations of Deep Long-Term Crowd Flow Prediction

Vladimir Pavlovic, Sejong Yoon, Samuel S. Sohn, 2020, ECCV.

Predicting Crowd Egress and Environment Relationships to Support Building Design Optimization

Vladimir Pavlovic, Petros Faloutsos, Sejong Yoon, 2020, Comput. Graph..

Distributed Probabilistic Learning for Camera Networks with Missing Data

Vladimir Pavlovic, Sejong Yoon, V. Pavlovic, 2012, NIPS.

Multiple SVM-RFE Using Boosting for Mammogram Classification

Sejong Yoon, Saejoon Kim, Saejoon Kim, 2009, 2009 International Joint Conference on Computational Sciences and Optimization.

Distributed Probabilistic Learning for Camera Networks

Vladimir Pavlovic, Sejong Yoon, V. Pavlovic, 2012 .

Generalized distributed learning under uncertainty for camera networks

Sejong Yoon, Sejong Yoon, 2016 .

Sentiment Flow for Video Interestingness Prediction

Vladimir Pavlovic, Sejong Yoon, V. Pavlovic, 2014, HuEvent '14.

k-Top Scoring Pair Algorithm for feature selection in SVM with applications to microarray data classification

Sejong Yoon, Saejoon Kim, Saejoon Kim, 2010, Soft Comput..

Model AI Assignments 2020

Michael Guerzhoy, Lisa Zhang, Kumar Krishna Agrawal, 2020, AAAI.

Decentralized Approximate Bayesian Inference for Distributed Sensor Network

Vladimir Pavlovic, Behnam Gholami, Sejong Yoon, 2016, AAAI.

Relative spatial features for image memorability

Vladimir Pavlovic, Sejong Yoon, Jongpil Kim, 2013, ACM Multimedia.

A Hybrid Approach for Video Memorability Prediction

Sejong Yoon, Alexander Viola, 2019, MediaEval.

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

Sejong Yoon, Saejoon Kim, Donghyuk Shin, 2007, 2007 Frontiers in the Convergence of Bioscience and Information Technologies.

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

Sejong Yoon, Saejoon Kim, Saejoon Kim, 2008, 2008 IEEE International Conference on Bioinformatics and Biomeidcine Workshops.

Object-Centric Scene Understanding for Image Memorability Prediction

Sejong Yoon, Jongpil Kim, 2018, 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR).

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

Vladimir Pavlovic, Weining Liu, Petros Faloutsos, 2017, MIG.

Scenario Generalization of Data-driven Imitation Models in Crowd Simulation

Gang Qiao, Vladimir Pavlovic, Sejong Yoon, 2019, MIG.

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

Sunshin An, Doohyun Ko, Sejong Yoon, 2011, 2011 IEEE Consumer Communications and Networking Conference (CCNC).

Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty pdf

Vladimir Pavlovic, Sejong Yoon, Changkyu Song, 2015, AAAI.

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

Vladimir Pavlovic, Sejong Yoon, Behnam Babagholami-Mohamadabadi, 2015, ArXiv.

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

Vladimir Pavlovic, Pritish Sahu, Mubbasir Kapadia, 2016, 2016 IEEE Winter Applications of Computer Vision Workshops (WACVW).

Deep Crowd-Flow Prediction in Built Environments pdf

Vladimir Pavlovic, Sejong Yoon, Samuel S. Sohn, 2019, ArXiv.

Predicting Memorability via Early Fusion Deep Neural Network

Aaron Weiss, Sejong Yoon, Benjamin Sang, 2018, MediaEval.

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

Sejong Yoon, Saejoon Kim, Saejoon Kim, 2009, Pattern Recognit. Lett..

Mean field variational inference using bregman ADMM for distributed camera network

Vladimir Pavlovic, Sejong Yoon, Behnam Babagholami-Mohamadabadi, 2015, ICDSC.

A Neural Network Approach for Birds of a Feather Solvability Prediction

Sejong Yoon, Benjamin Sang, Sejong Yoon, 2019, AAAI.

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

Vladimir Pavlovic, Mubbasir Kapadia, Muhammad Usman, 2021, MIG.