Keunhoon Choi

Stereo-augmented Depth Completion from a Single RGB-LiDAR image

Depth completion is an important task in computer vision and robotics applications, which aims at predicting accurate dense depth from a single RGB-LiDAR image. Convolutional neural networks (CNNs) have been widely used for depth completion to learn a mapping function from sparse to dense depth. How…