Seonghyeon Moon
9 papers · 2020–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(22)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(4)
Computer Vision
(4)
Analysis
(4)
Core AI
(3)
Learning Types · Machine Learning
(3)
Deep Learning
(2)
Core Methods
(2)
Robotics
(1)
Applications
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Domain-Specific
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Keywords
trajectory prediction
(2)
semantic segmentation
(1)
metric learning
(1)
few-shot learning
(1)
action recognition
(1)
probabilistic modeling
(1)
transfer learning
(1)
human activity recognition
(1)
attention mechanism
(1)
prompt engineering
(1)
conditional generation
(1)
human pose estimation
(1)
feature correlation
(1)
motion capture
(1)
fourier transform
(1)
multi-object tracking
(1)
group activity recognition
(1)
variational autoencoder
(1)
synthetic data
(1)
probabilistic forecasting
(1)
Papers
FCC: Fully Connected Correlation for One-Shot Segmentation
WACV 2026
RoMo: A Large-Scale, Richly Organized Dataset and Semantic Taxonomy for Human Motion Generation
CVPR 2026
Learning from Synthetic Human Group Activities
CVPR 2024
RU at WASSA 2024 Shared Task: Task-Aligned Prompt for Predicting Empathy and Distress
ACL 2024
MSI: Maximize Support-Set Information for Few-Shot Segmentation
ICCV 2023
Harnessing Fourier Isovists and Geodesic Interaction for Long-Term Crowd Flow Prediction
IJCAI 2022
HM: Hybrid Masking for Few-Shot Segmentation
ECCV 2022
MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction
CVPR 2022
Laying the Foundations of Deep Long-Term Crowd Flow Prediction
ECCV 2020