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Preprint Sep 2026

JEPA Guided Diffusion: Predictive Vision-Language Conditioning for Generative Traffic Forecasting

Accurate traffic forecasting requires both understanding scene dynamics and synthesizing realistic future observations. Recent diffusion-based video generation models produce visually plausible predictions but require expensive end-to-end training and often entangle scene understanding with image synthesis. In this wor...

T. Nguyen, Thanh-Nhan Vo, Bui Hoai Thuong Nguyen et al. · 1 citation
Preprint Sep 2026

Sim-to-Real Traffic Scene Understanding by Decoupling Semantics from Caption Generation with V-JEPA

A decoupled semantic understanding framework that first resolves predefined traffic questions into structured semantic facts and subsequently uses these facts to guide caption generation, leading to more accurate and reliable traffic understanding, leading to higher-quality lan guage generation.

Bui Hoai Thuong Nguyen, Thanh-Nhan Vo, T. Nguyen et al. · 1 citation

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