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Ashish Mehta

1 accepted papers

2025

Generative Active Learning for Long-tail Trajectory Prediction via Controllable Diffusion Model

ICCV 2025poster

While data-driven trajectory prediction has enhanced the reliability of autonomous driving systems, it still struggles with rarely observed long-tail scenarios. Prior works addressed this by modifying model architectures, such as using hypernetworks. In contrast, we propose refining the training pro…

Cited by 0SourcePDFScholar