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Jeonghyun Noh

1 accepted papers

2024

ADNet: Non-Local Affinity Distillation Network for Lightweight Depth Completion With Guidance From Missing LiDAR Points

RA-L 2024

Depth completion is one of the crucial methods to estimate dense depth information of surrounding environments for various real-world applications such as autonomous driving, robotics, and augmented reality. In these real-world applications, it is strictly required for a depth completion model to ac

Cited by 9SourceScholar