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Xinxin Chen

2 accepted papers

2025

DriveGPT: Scaling Autoregressive Behavior Models for Driving

ICML 2025poster

We present DriveGPT, a scalable behavior model for autonomous driving. We model driving as a sequential decision-making task, and learn a transformer model to predict future agent states as tokens in an autoregressive fashion. We scale up our model parameters and training data by multiple orders of…

Cited by 1SourcePDFScholar
2021

HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation

AAAI 2021technical

Self-supervised learning shows great potential in monocular depth estimation, using image sequences as the only source of supervision. Although people try to use the high-resolution image for depth estimation, the accuracy of prediction has not been significantly improved. In this work…