Yihong Xu

Training self-driving policies directly from perspective images can rival traditional methods that rely on privileged data, achieving impressive zero-shot transfer performance.

Out-of-scope intent detection can be revolutionized with a method that leverages MiniLM embeddings to achieve unprecedented accuracy without the need for extensive parameter tuning.

Video pre-training can drive autonomous vehicles, but scaling model size doesn't always guarantee safer closed-loop driving.