17 results on '"Huijing Zhao"'
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2. Understanding the Challenges When 3D Semantic Segmentation Faces Class Imbalanced and OOD Data.
3. An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation.
4. An Image-based Approach of Task-driven Driving Scene Categorization.
5. Fine-Grained Off-Road Semantic Segmentation and Mapping via Contrastive Learning.
6. A Survey of Deep RL and IL for Autonomous Driving Policy Learning.
7. Cross Scene Prediction via Modeling Dynamic Correlation using Latent Space Shared Auto-Encoders.
8. Scene Context Based Semantic Segmentation for 3D LiDAR Data in Dynamic Scene.
9. Are We Hungry for 3D LiDAR Data for Semantic Segmentation?
10. Learning from Naturalistic Driving Data for Human-like Autonomous Highway Driving.
11. SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances.
12. Driver Identification through Stochastic Multi-State Car-Following Modeling.
13. Off-Road Drivable Area Extraction Using 3D LiDAR Data.
14. Scene-Aware Error Modeling of LiDAR/Visual Odometry for Fusion-based Vehicle Localization.
15. Incorporating Human Domain Knowledge in 3D LiDAR-based Semantic Segmentation.
16. Off-road Autonomous Vehicles Traversability Analysis and Trajectory Planning Based on Deep Inverse Reinforcement Learning.
17. Semantic Segmentation of 3D LiDAR Data in Dynamic Scene Using Semi-supervised Learning.
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