Edmond S. L. Ho — accepted AI-conference papers

2026

Masked Generative Policy for Robotic Control

Lipeng Zhuang, Shiyu Fan, Florent P. Audonnet, Yingdong Ru, Edmond S. L. Ho, Gerardo Aragon-Camarasa +1

ICLR 2026poster

We present Masked Generative Policy (MGP), a novel framework for visuomotor imitation learning. We represent actions as discrete tokens, and train a conditional masked transformer that generates tokens in parallel and then rapidly refines only low-confidence tokens. We further propose two new sampli…

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2026

Modeling 3D Pedestrian-Vehicle Interactions for Vehicle-Conditioned Pose Forecasting

Guangxun Zhu, Xuan Liu, Nicolas Pugeault, Chongfeng Wei, Edmond S. L. Ho

ICRA 2026poster

Accurately predicting pedestrian motion is crucial for safe and reliable autonomous driving in complex urban environments. In this work, we present a 3D vehicle-conditioned pedestrian pose forecasting framework that explicitly incorporates surrounding vehicle information. To support this, we enhance…

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2025

Libra: Leveraging Temporal Images for Biomedical Radiology Analysis

Xi Zhang, Zaiqiao Meng, Jake Lever, Edmond S. L. Ho

ACL 2025finding

Radiology report generation (RRG) requires advanced medical image analysis, effective temporal reasoning, and accurate text generation. While multimodal large language models (MLLMs) align with pre-trained vision encoders to enhance visual-language understanding, most existing methods rely on single…

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