15 citations · 30 across the 9 of their papers we have counts for
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3 papers · 1 filter
cs.CV2022
Understanding the Challenges When 3D Semantic Segmentation Faces Class Imbalanced and OOD Data
Yancheng Pan, Fan Xie, Huijing Zhao
3D semantic segmentation (3DSS) is an essential process in the creation of a safe autonomous driving system. However, deep learning models for 3D semantic segmentation often suffer…
cs.RO2022★ 3 cited
Multi-Task Conditional Imitation Learning for Autonomous Navigation at Crowded Intersections
Zeyu Zhu, Huijing Zhao
In recent years, great efforts have been devoted to deep imitation learning for autonomous driving control, where raw sensory inputs are directly mapped to control actions. However…
cs.CV2022★ 2 cited
An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation
Biao Gao, Xijun Zhao, Huijing Zhao
Off-road semantic segmentation with fine-grained labels is necessary for autonomous vehicles to understand driving scenes, as the coarse-grained road detection can not satisfy off-…