default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSejong Yoon
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c29]Che-Jui Chang, Danrui Li, Deep Patel, Parth Goel, Honglu Zhou, Seonghyeon Moon, Samuel S. Sohn, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia:
Learning from Synthetic Human Group Activities. CVPR 2024: 21922-21932- [c28]Mila Manzano
, Kristen O'Donnell, Eden Espinosa, Sejong Yoon:
MiRODES: Mini Intelligent Robot for On-campus Domain-specific Event Support. HRI (Companion) 2024: 1245-1248 - 2023
- [c27]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: 19209-19219 - [i10]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 abs/2306.16772 (2023) - 2022
- [j5]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: 130-140 (2022) - [c26]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: 2211-2220 - [c25]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: 506-523 - [c24]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: 1328-1334 - [i9]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 abs/2201.07189 (2022) - [i8]Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia:
HMFS: Hybrid Masking for Few-Shot Segmentation. CoRR abs/2203.12826 (2022) - [i7]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 abs/2211.00817 (2022) - [i6]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 abs/2212.04673 (2022) - 2021
- [c23]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: 19:1-19:9 - [c22]Alexander Viola, Vladimir Pavlovic, Sejong Yoon:
Constructivist Approaches for Computational Emotions: A Systematic Survey. ToM for Teams 2021: 30-50 - 2020
- [j4]Kaidong Hu, Sejong Yoon, Vladimir Pavlovic, Petros Faloutsos, Mubbasir Kapadia:
Predicting Crowd Egress and Environment Relationships to Support Building Design Optimization. Comput. Graph. 88: 83-96 (2020) - [c21]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: 13509-13511 - [c20]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: 711-728
2010 – 2019
- 2019
- [c19]Benjamin Sang, Sejong Yoon:
A Neural Network Approach for Birds of a Feather Solvability Prediction. AAAI 2019: 9706-9712 - [c18]Alexander Viola, Sejong Yoon:
A Hybrid Approach for Video Memorability Prediction. MediaEval 2019 - [c17]Gang Qiao, Honglu Zhou, Mubbasir Kapadia, Sejong Yoon, Vladimir Pavlovic:
Scenario Generalization of Data-driven Imitation Models in Crowd Simulation. MIG 2019: 36:1-36:11 - [i5]Gang Qiao, Honglu Zhou, Mubbasir Kapadia, Sejong Yoon, Vladimir Pavlovic:
Scenario Generalization of Data-driven Imitation Models in Crowd Simulation. CoRR abs/1910.00738 (2019) - [i4]Samuel S. Sohn, Seonghyeon Moon, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia:
Deep Crowd-Flow Prediction in Built Environments. CoRR abs/1910.05810 (2019) - 2018
- [c16]Gang Qiao, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic:
The Role of Data-Driven Priors in Multi-Agent Crowd Trajectory Estimation. AAAI 2018: 4710-4717 - [c15]Aaron Weiss, Benjamin Sang, Sejong Yoon:
Predicting Memorability via Early Fusion Deep Neural Network. MediaEval 2018 - [c14]Sejong Yoon, Jongpil Kim:
Object-Centric Scene Understanding for Image Memorability Prediction. MIPR 2018: 305-308 - 2017
- [c13]Sejong Yoon:
TCNJ-CS@MediaEval 2017 Predicting Media Interestingness Task. MediaEval 2017 - [c12]Sejong Yoon:
TCNJ-CS@MediaEval 2017 Emotional Impact of Movie Task. MediaEval 2017 - [c11]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: 2:1-2:6 - [i3]Gang Qiao, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic:
The Role of Data-driven Priors in Multi-agent Crowd Trajectory Estimation. CoRR abs/1710.03354 (2017) - 2016
- [c10]Changkyu Song, Sejong Yoon, Vladimir Pavlovic:
Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty. AAAI 2016: 753-759 - [c9]Behnam Gholami, Sejong Yoon, Vladimir Pavlovic:
Decentralized Approximate Bayesian Inference for Distributed Sensor Network. AAAI 2016: 1582-1588 - [c8]Sejong Yoon, Mubbasir Kapadia, Pritish Sahu, Vladimir Pavlovic:
Filling in the blanks: reconstructing microscopic crowd motion from multiple disparate noisy sensors. WACV Workshops 2016: 1-9 - 2015
- [c7]Behnam Babagholami-Mohamadabadi, Sejong Yoon, Vladimir Pavlovic:
Mean field variational inference using bregman ADMM for distributed camera network. ICDSC 2015: 209-210 - [i2]Changkyu Song, Sejong Yoon, Vladimir Pavlovic:
Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty. CoRR abs/1506.08928 (2015) - [i1]Behnam Babagholami-Mohamadabadi, Sejong Yoon, Vladimir Pavlovic:
D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM. CoRR abs/1507.00824 (2015) - 2014
- [c6]Sejong Yoon, Vladimir Pavlovic:
Sentiment Flow for Video Interestingness Prediction. HuEvent@MM 2014: 29-34 - 2013
- [c5]Jongpil Kim, Sejong Yoon, Vladimir Pavlovic:
Relative spatial features for image memorability. ACM Multimedia 2013: 761-764 - 2012
- [c4]Sejong Yoon, Vladimir Pavlovic:
Distributed Probabilistic Learning for Camera Networks with Missing Data. NIPS 2012: 2933-2941 - 2011
- [c3]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: 96-100 - 2010
- [j3]Sejong Yoon, Saejoon Kim:
k-Top Scoring Pair Algorithm for feature selection in SVM with applications to microarray data classification. Soft Comput. 14(2): 151-159 (2010)
2000 – 2009
- 2009
- [j2]Sejong Yoon, Saejoon Kim:
AdaBoost-based multiple SVM-RFE for classification of mammograms in DDSM. BMC Medical Informatics Decis. Mak. 9(S-1): S1 (2009) - [j1]Sejong Yoon, Saejoon Kim:
Mutual information-based SVM-RFE for diagnostic classification of digitized mammograms. Pattern Recognit. Lett. 30(16): 1489-1495 (2009) - [c2]Sejong Yoon, Saejoon Kim:
Multiple SVM-RFE Using Boosting for Mammogram Classification. CSO (1) 2009: 740-742 - 2007
- [c1]Saejoon Kim, Sejong Yoon, Donghyuk Shin:
Computer-Aided Diagnosis of Cross-Institutional Mammograms Using Support Vector Machines with Feature Elimination. FBIT 2007: 396-402
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 01:23 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
