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cs.CV2026
Zero-Shot Cross-City Generalization in End-to-End Autonomous Driving: Self-Supervised versus Supervised Representations
Fatemeh Naeinian, Ali Hamza, Haoran Zhu +1
End-to-end autonomous driving models are typically trained on multi-city datasets using supervised ImageNet-pretrained backbones, yet their ability to generalize to unseen cities r…
cs.CV2026
Self-Supervised JEPA-based World Models for LiDAR Occupancy Completion and Forecasting
Haoran Zhu, Anna Choromanska
Autonomous driving, as an agent operating in the physical world, requires the fundamental capability to build \textit{world models} that capture how the environment evolves spatiot…