3 papers
cs.RO2026
LAMP: Lane-Aligned Motion Primitives for Feasible Trajectory Prediction
Sangjin Han, Hoseong Jung, Jeongtae Her +2
Motion forecasting is essential for autonomous driving systems to enable safe decision-making and planning in complex driving scenarios. While existing predictors excel at minimizi…
cs.RO2026
Temporal Action Representation Learning for Tactical Resource Control and Subsequent Maneuver Generation
Hoseong Jung, Sungil Son, Daesol Cho +3
Autonomous robotic systems should reason about resource control and its impact on subsequent maneuvers, especially when operating with limited energy budgets or restricted sensing.…
cs.CV2025
Performance Plateaus in Inference-Time Scaling for Text-to-Image Diffusion Without External Models
Changhyun Choi, Sungha Kim, H. Jin Kim
Recently, it has been shown that investing computing resources in searching for good initial noise for a text-to-image diffusion model helps improve performance. However, previous…