3 papers
cs.CV2026
Dynamic Graph Neural Network with Adaptive Features Selection for RGB-D Based Indoor Scene Recognition
Qiong Liu, Ruofei Xiong, Xingzhen Chen +2
Multi-modality of color and depth, i.e., RGB-D, is of great importance in recent research of indoor scene recognition. In this kind of data representation, depth map is able to des…
cs.CV2024
TFCT-I2P: Three stream fusion network with color aware transformer for image-to-point cloud registration
Muyao Peng, Pei An, Zichen Wan +2
Along with the advancements in artificial intelligence technologies, image-to-point-cloud registration (I2P) techniques have made significant strides. Nevertheless, the dimensional…
cs.CV2024
FSF-Net: Enhance 4D Occupancy Forecasting with Coarse BEV Scene Flow for Autonomous Driving
Erxin Guo, Pei An, You Yang +2
4D occupancy forecasting is one of the important techniques for autonomous driving, which can avoid potential risk in the complex traffic scenes. Scene flow is a crucial element to…