Unsupervised domain adaptation (UDA) plays a crucial role in object dete...
Deep-learning models for 3D point cloud semantic segmentation exhibit li...
The recent trend in deep learning methods for 3D point cloud understandi...
Recent works on 6D object pose estimation focus on learning keypoint
cor...
We present MONET, a new multimodal dataset captured using a thermal came...
Novel class discovery (NCD) for semantic segmentation is the task of lea...
How would you fairly evaluate two multi-object tracking algorithms (i.e....
Probabilistic 3D point cloud registration methods have shown competitive...
NeRF aims to learn a continuous neural scene representation by using a f...
Unsupervised learning on 3D point clouds has undergone a rapid evolution...
3D LiDAR semantic segmentation is fundamental for autonomous driving. Se...
3D point cloud semantic segmentation is fundamental for autonomous drivi...
An effective 3D descriptor should be invariant to different geometric
tr...
We present a simple but yet effective method for learning distinctive 3D...
Multi-view data capture permits free-viewpoint video (FVV) content creat...
The semantic segmentation of 3D shapes with a high-density of vertices c...