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Shizhuo Deng

2 accepted papers

2025

Efficient Indoor Depth Completion Network Using Mask-adaptive Gated Convolution

AAAI 2025technical

Most indoor depth completion tasks rely on convolutional auto-encoders to reconstruct depth images, especially in areas with significant missing values. While traditional convolution treats valid and missing pixels equally, Partial Convolution (PConv) has mitigated this limitation. However, PConv fa…

2023

AGG-Net: Attention Guided Gated-Convolutional Network for Depth Image Completion

ICCV 2023poster

Recently, stereo vision based on lightweight RGBD cameras has been widely used in various fields. However, limited by the imaging principles, the commonly used RGB-D cameras based on TOF, structured light, or binocular vision acquire some invalid data inevitably, such as weak reflection, boundary sh…

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