5 papers · 1 filter
Ego-Human Motion Prediction with 3D-Aware LLM
Yujin Bae, Jaewoo Jeong, Hyeonseong Kim +1
Anticipating human motion from an egocentric perspective is fundamental for proactive assistance in AR/VR, human-robot collaboration, and embodied AI. While recent works incorporat…
Multi-modal Knowledge Distillation-based Human Trajectory Forecasting
Jaewoo Jeong, Seohee Lee, Daehee Park +2
Pedestrian trajectory forecasting is crucial in various applications such as autonomous driving and mobile robot navigation. In such applications, camera-based perception enables t…
Multi-agent Long-term 3D Human Pose Forecasting via Interaction-aware Trajectory Conditioning
Jaewoo Jeong, Daehee Park, Kuk-Jin Yoon
Human pose forecasting garners attention for its diverse applications. However, challenges in modeling the multi-modal nature of human motion and intricate interactions among agent…
T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory
Daehee Park, Jaeseok Jeong, Sung-Hoon Yoon +2
Trajectory prediction is a challenging problem that requires considering interactions among multiple actors and the surrounding environment. While data-driven approaches have been…
Improving Transferability for Cross-domain Trajectory Prediction via Neural Stochastic Differential Equation
Daehee Park, Jaewoo Jeong, Kuk-Jin Yoon
Multi-agent trajectory prediction is crucial for various practical applications, spurring the construction of many large-scale trajectory datasets, including vehicles and pedestria…