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Aizierjiang Aiersilan

2 accepted papers

2025

G-Depth: An Efficient Graph Method for Robust Depth Completion

ICASSP 2025accepted

Depth completion has played a vital role in enhancing depth perception in various applications such as autonomous driving, robotics, and 3D reconstruction. It is a critical task that involves generating a dense depth map from an RGB image and an aligned sparse depth map. However, many existing studi…

Cited by 0SourceScholar
2025

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner

AAAI 2025technical

Motion planning is a crucial component in autonomous driving. State-of-the-art motion planners are trained on meticulously curated datasets, which are not only expensive to annotate but also insufficient in capturing rarely seen critical scenarios. Failing to account for such scenarios poses a signi…