Na Zhao

Achieving a 12.2% boost in navigation success rates, SAP-Nav redefines how agents can dynamically interact with and understand their environments without prior training.

Model forgetting in long-incremental 3D object detection can be effectively mitigated through human-inspired learning dynamics, leading to superior performance on challenging benchmarks.

Autonomous vehicles can now better handle degraded sensor data in adverse conditions thanks to a new unsupervised domain adaptation method that leverages both LiDAR and RGB data.

Unlock few-shot 3D object detection in dynamic environments by teaching models to "see" the unseen with vision-language models.