7 citations · 9 across the 3 of their papers we have counts for
4 papers
RP-SLAM: Real-time Photorealistic SLAM with Efficient 3D Gaussian Splatting
Lizhi Bai, Chunqi Tian, Jun Yang +3
3D Gaussian Splatting has emerged as a promising technique for high-quality 3D rendering, leading to increasing interest in integrating 3DGS into realism SLAM systems. However, exi…
NeB-SLAM: Neural Blocks-based Salable RGB-D SLAM for Unknown Scenes
Lizhi Bai, Chunqi Tian, Jun Yang +2
Neural implicit representations have recently demonstrated considerable potential in the field of visual simultaneous localization and mapping (SLAM). This is due to their inherent…
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…
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…