Sejong Yoon

发表

HMFS: Hybrid Masking for Few-Shot Segmentation

Samuel S. Sohn, Muhammad Haris Khan, V. Pavlovic, 2022, European Conference on Computer Vision.

Laying the Foundations of Deep Long-Term Crowd Flow Prediction

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

Harnessing Fourier Isovists and Geodesic Interaction for Long-Term Crowd Flow Prediction

Samuel S. Sohn, V. Pavlovic, M. Kapadia, 2022, IJCAI.

A2X: An end-to-end framework for assessing agent and environment interactions in multimodal human trajectory prediction

Samuel S. Sohn, V. Pavlovic, Mubbasir Kapadia, 2022, Comput. Graph..

MSI: Maximize Support-Set Information for Few-Shot Segmentation

Samuel S. Sohn, Honglu Zhou, Mubbasir Kapadia, 2022, 2212.04673.

Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty pdf

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

Generalized distributed learning under uncertainty for camera networks

Sejong Yoon, Sejong Yoon, 2016 .

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..

Predicting Memorability via Early Fusion Deep Neural Network

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

Sentiment Flow for Video Interestingness Prediction

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

Relative spatial features for image memorability

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

MSI: Maximize Support-Set Information for Few-Shot Segmentation

Samuel S. Sohn, Muhammad Haris Khan, V. Pavlovic, 2022, ArXiv.

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

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

Multiple SVM-RFE Using Boosting for Mammogram Classification

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

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.

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

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

MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction pdf

Vladimir Pavlovic, Mubbasir Kapadia, Samuel S. Sohn, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A Neural Network Approach for Birds of a Feather Solvability Prediction

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

Learning from Synthetic Human Group Activities

Samuel S. Sohn, V. Pavlovic, M. Kapadia, 2023, ArXiv.

Predicting Crowd Egress and Environment Relationships to Support Building Design Optimization

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

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

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

Distributed Probabilistic Learning for Camera Networks with Missing Data

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

Distributed Probabilistic Learning for Camera Networks

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

Decentralized Approximate Bayesian Inference for Distributed Sensor Network

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

MSI: Maximize Support-Set Information for Few-Shot Segmentation

Samuel S. Sohn, Muhammad Haris Khan, V. Pavlovic, 2022, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

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

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

Learning from Synthetic Human Group Activities

Samuel S. Sohn, V. Pavlovic, M. Kapadia, 2023, ArXiv.

An Information-Theoretic Approach for Estimating Scenario Generalization in Crowd Motion Prediction

Samuel S. Sohn, V. Pavlovic, M. Kapadia, 2022, ArXiv.