Learning to Drive Anywhere

no code implementations • 21 Sep 2023 • Ruizhao Zhu, Peng Huang, Eshed Ohn-Bar, Venkatesh Saligrama

Human drivers can seamlessly adapt their driving decisions across geographical locations with diverse conditions and rules of the road, e. g., left vs. right-hand traffic.

Autonomous Driving Imitation Learning

Fine-grained Few-shot Recognition by Deep Object Parsing

no code implementations • 14 Jul 2022 • Ruizhao Zhu, Pengkai Zhu, Samarth Mishra, Venkatesh Saligrama

An object is parsed by estimating the locations of these K parts and a set of active templates that can reconstruct the part features.

Few-Shot Learning Object

SelfD: Self-Learning Large-Scale Driving Policies From the Web

no code implementations • CVPR 2022 • Jimuyang Zhang, Ruizhao Zhu, Eshed Ohn-Bar

However, it is difficult to directly leverage such large amounts of unlabeled and highly diverse data for complex 3D reasoning and planning tasks.

Data Augmentation Decision Making +1