GitHub

A Dataset and code of Graph Representation of 3D CAD Models for Machining Feature Recognition With Deep Learning

Paper: Graph Representation of 3D CAD Models for Machining Feature Recognition With Deep Learning The MFCAD (Machining Feature CAD) dataset is a comprehensive collection of 3D CAD models with labeled ...

Switch 2 Storms Towards Its Forecast Target With 17.37 Million Units Sold

If you remember, Nintendo increased its forecast for Switch 2 sales back in November 2025 from 15 million to 19 million.
eLife

Identifying tissue states by spatial protein patterns related to chemotherapy response in triple-negative breast cancer

This is an important work implementing data mining methods on IMC data to discover spatial protein patterns related to the triple-negative breast cancer patients' chemotherapy response. The evidence ...
GitHub

ALICE-LRI

ALICE-LRI (Automatic LiDAR Intrinsic Calibration Estimation for Lossless Range Images) is a C++ and Python library for lossless range image generation and reconstruction from spinning 3D LiDAR point ...
IEEE

Trans-LGS: Transformer-Based Local Graph Structure for 3D Object Detection in Autonomous Vehicles

Abstract: As intelligent and interconnected vehicles continue to progress, the importance of 3D LiDAR sensors in traffic perception is increasing. Accurate 3D object detection in point clouds is ...
IEEE

Compression Framework for Light 3D Scene Graph Generation via Pruning-As-Search and Distillation

Abstract: 3D scene graph generation (3DSGG), which involves classifying objects and predicates, is an emerging topic in 3D scene understanding. Recent studies leveraging graph neural networks (GNNs) ...