7 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 2 cited
Pixel Difference Convolutional Network for RGB-D Semantic Segmentation
Jun Yang, Lizhi Bai, Yaoru Sun +3
RGB-D semantic segmentation can be advanced with convolutional neural networks due to the availability of Depth data. Although objects cannot be easily discriminated by just the 2D…
eess.IV2022★ 7 cited
DCANet: Differential Convolution Attention Network for RGB-D Semantic Segmentation
Lizhi Bai, Jun Yang, Chunqi Tian +4
Combining RGB images and the corresponding depth maps in semantic segmentation proves the effectiveness in the past few years. Existing RGB-D modal fusion methods either lack the n…
cs.CV2021★ 2 cited
Exposing Deepfake with Pixel-wise AR and PPG Correlation from Faint Signals
Maoyu Mao, Jun Yang
Deepfake poses a serious threat to the reliability of judicial evidence and intellectual property protection. In spite of an urgent need for Deepfake identification, existing pixel…