Ryo Hachiuma

Researcher, NVIDIA

2 papers at NeurIPS 2025

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Poster Session 2

1 paper

Wednesday, December 3, 2025 · 4:30 PM → 7:30 PM

Exhibit Hall C,D,E

Unified Reinforcement and Imitation Learning for Vision-Language Models

#4615 · Byung-Kwan Lee, Ryo Hachiuma, Yong Man Ro, Yu-Chiang Frank Wang, Yueh-Hua Wu

Poster Session 5

1 paper

Friday, December 5, 2025 · 11:00 AM → 2:00 PM

Exhibit Hall C,D,E

Towards Predicting Any Human Trajectory In Context

#5109 · Ryo Fujii, Hideo Saito, Ryo Hachiuma

We introduce TrajICL, a novel in-context learning (ICL) framework for pedestrian trajectory forecasting that enables rapid adaptation without costly fine-tuning.