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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…

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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…