Jiaqi Ma

Unified benchmarks reveal the state-of-the-art in simultaneously addressing multiple real-world image degradations like blur, low-light, and rain.

SpanVLA slashes action generation latency in autonomous driving by bridging VLMs with flow-matching, while also learning from driving mistakes to boost robustness.

Autonomous driving policies that ace open-loop tests can still crash and burn in the real world, because they learn to ignore the reactive nature of closed-loop environments.