Mask-adaptive Gated Convolution and Bi-directional Progressive Fusion Network for Depth Completion

no code implementations • 15 Jan 2024 • Tingxuan Huang, Jiacheng Miao, Shizhuo Deng, Tong, Dongyue Chen

Depth completion is a critical task for handling depth images with missing pixels, which can negatively impact further applications.

Decoder Depth Completion

Prior Knowledge Guided Network for Video Anomaly Detection

no code implementations • 4 Sep 2023 • Zhewen Deng, Dongyue Chen, Shizhuo Deng

Video Anomaly Detection (VAD) involves detecting anomalous events in videos, presenting a significant and intricate task within intelligent video surveillance.

Anomaly Detection Knowledge Distillation +1

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

1 code implementation • ICCV 2023 • Dongyue Chen, Tingxuan Huang, Zhimin Song, Shizhuo Deng, Tong Jia

In the encoding stage, an Attention Guided Gated-Convolution (AG-GConv) module is proposed to realize the fusion of depth and color features at different scales, which can effectively reduce the negative impacts of invalid depth data on the reconstruction.