Publications (11)
ComPose: When to Trust Hands for Object Pose Tracking
Jisu Shin, Junoh Lee, JunGyu Lee +5
Reconstructing the motion of objects from videos is a key component for embodied AI and robot manipulation. While diverse approaches to object pose tracking have been studied, they…
Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction
Inhwan Bae, Junoh Lee, Hae-Gon Jeon
Language models have demonstrated impressive ability in context understanding and generative performance. Inspired by the recent success of language foundation models, in this pape…
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…
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…
EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting
Inhwan Bae, Jean Oh, Hae-Gon Jeon
Capturing high-dimensional social interactions and feasible futures is essential for predicting trajectories. To address this complex nature, several attempts have been devoted to…
Non-Probability Sampling Network for Stochastic Human Trajectory Prediction
Inhwan Bae, Jin-Hwi Park, Hae-Gon Jeon
Capturing multimodal natures is essential for stochastic pedestrian trajectory prediction, to infer a finite set of future trajectories. The inferred trajectories are based on obse…
Relaxed Rigidity with Ray-based Grouping for Dynamic Gaussian Splatting
Junoh Lee, Junmyeong Lee, Yeon-Ji Song +4
The reconstruction of dynamic 3D scenes using 3D Gaussian Splatting has shown significant promise. A key challenge, however, remains in modeling realistic motion, as most methods f…
Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction
Inhwan Bae, Jin-Hwi Park, Hae-Gon Jeon
Modeling the dynamics of people walking is a problem of long-standing interest in computer vision. Many previous works involving pedestrian trajectory prediction define a particula…
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…
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…
Identifying a Level-up Pathway for AI-assisted Counterspeech through Elaboration
Han Li, Inhwan Bae, Natalie Bazarova +1
The paper evaluates three AI‑assisted writing systems that help ordinary social‑media users craft counterspeech against vaccine‑skeptical posts, finding that AI support—especially…