Timing is increasingly dependent on vectors. Can static techniques continue to deliver the necessary results? Maybe.

“Machines, codes and algorithms can detect those patterns, and when you put all those datasets together, GIS gives you the ...

Among these, 3D point cloud segmentation and semantic segmentation are two key technologies. Although both fall under the category of point cloud processing, there are essential differences in target ...

The authors argue that male-biased expression of Cyp17a2 is implicated in mediating infection levels through STING and USP8 activity regulation. Thus, this study highlights an unexpected factor ...

Abstract: Compositional 3D scene synthesis has diverse applications across a spectrum of industries such as robotics, films, and video games, as it closely mirrors the complexity of real-world ...

Abstract: 3D object detection from LiDAR point clouds is a challenging task, since the point clouds are irregular and sparse. Existing one-stage methods mainly predict the 3D bounding box of 3D ...

MMGDreamer is a dual-branch diffusion model for scene generation that incorporates a novel Mixed-Modality Graph, visual enhancement module, and relation predictor. Feel free to contact Zhifei Yang ...

We present Open3DSG the first approach for learning to predict open-vocabulary 3D scene graphs from 3D point clouds. The advantage of our method is that it can be queried and prompted for any instance ...