Malicious GitHub repositories used by threat actors to host Amadey payloads and steal data, impacting targeted entities.

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Explore how Python enhances automation in 3D workflows with OpenUSD, enabling rapid prototyping and efficient scene manipulation, crucial for industries handling complex 3D data.

3D object detection based on LiDAR point cloud and prior anchor boxes is a critical technology for autonomous driving environment perception and understanding.

📖 About This repository represents the official implementation of the paper titled "DepthFusion: Depth-Aware Hybrid Feature Fusion for LiDAR-Camera 3D Object Detection". We propose a novel depth ...

In comparison to methods based on stereo cameras and lidar, monocular 3D object detection offers advantages such as a broad detection field and low deployment costs. However, the accuracy of existing ...

OpenAD is the first open-world 3D object detection benchmark for autonomous driving. We meticulously selected 2,000 scenes from 5 public datasets and annotated 6,597 3D corner cases for these scenes.

3D object detection is a fundamental task in scene understanding. Numerous research efforts have been dedicated to better incorporate Hough voting into the 3D object detection pipeline. However, due ...

This survey reviews advances in 3D object detection approaches for autonomous driving. A brief introduction to 2D object detection is first discussed and drawbacks of the existing methodologies are ...