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Xingtai Gui

2 accepted papers

2026

Autoregressive End-To-End Planning with Time-Invariant Spatial Alignment and Multi-Objective Policy Refinement

ICRA 2026poster

The inherent sequential modeling capabilities of autoregressive models make them a formidable baseline for end-to-end planning in autonomous driving. Nevertheless, their performance is constrained by a spatio-temporal misalignment, as the planner must condition future actions on past sensory data. T…

2022

Constrained Adaptive Projection with Pretrained Features for Anomaly Detection

IJCAI 2022poster

Anomaly detection aims to separate anomalies from normal samples, and the pretrained network is promising for anomaly detection. However, adapting the pretrained features would be confronted with the risk of pattern collapse when finetuning on one-class training data. In this paper, we propose an an…