7 papers · 1 filter
Revisiting Numerical Forecasting Models for Language-Based Trajectory Prediction
JunGyu Lee, Inhwan Bae, Hae-Gon Jeon
Language-based trajectory predictors represent coordinates as discrete tokens and learn auxiliary tasks such as destination and group reasoning. This formulation enables the model…
Continuous Locomotive Crowd Behavior Generation
Inhwan Bae, Junoh Lee, Hae-Gon Jeon
Modeling and reproducing crowd behaviors are important in various domains including psychology, robotics, transport engineering and virtual environments. Conventional methods have…
Data-driven Precipitation Nowcasting Using Satellite Imagery
Young-Jae Park, Doyi Kim, Minseok Seo +2
Accurate precipitation forecasting is crucial for early warnings of disasters, such as floods and landslides. Traditional forecasts rely on ground-based radar systems, which are sp…
Fully Explicit Dynamic Gaussian Splatting
Junoh Lee, Chang-Yeon Won, Hyunjun Jung +2
3D Gaussian Splatting has shown fast and high-quality rendering results in static scenes by leveraging dense 3D prior and explicit representations. Unfortunately, the benefits of t…
Kinetic Typography Diffusion Model
Seonmi Park, Inhwan Bae, Seunghyun Shin +1
This paper introduces a method for realistic kinetic typography that generates user-preferred animatable 'text content'. We draw on recent advances in guided video diffusion models…
SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model
Inhwan Bae, Young-Jae Park, Hae-Gon Jeon
There are five types of trajectory prediction tasks: deterministic, stochastic, domain adaptation, momentary observation, and few-shot. These associated tasks are defined by variou…
Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data
Young-Jae Park, Minseok Seo, Doyi Kim +7
In the face of escalating climate changes, typhoon intensities and their ensuing damage have surged. Accurate trajectory prediction is crucial for effective damage control. Traditi…