A novel malware family named LameHug is using a large language model (LLM) to generate commands to be executed on compromised ...

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 ...

3D object detection and pose estimation from a single-view image is challenging due to the high uncertainty caused by the absence of 3D perception. As a solution, recent monocular 3D detection methods ...

This paper proposes 3DGeoDet, a novel geometry-aware 3D object detection approach that effectively handles single- and multi-view RGB images in indoor and outdoor environments, showcasing its ...

PICO: Reconstructing 3D People In Contact with Objects Alpár Cseke*, Shashank Tripathi*, Sai Kumar Dwivedi, Arjun Lakshmipathy, Agniv Chatterjee, Michael J. Black, Dimitrios Tzionas ...

This is the official code of LiDAR R-CNN: An Efficient and Universal 3D Object Detector. In this work, we present LiDAR R-CNN, a second stage detector that can generally improve any existing 3D ...

Pore no more: US scientists develop real-time defect detection for 3D metal printing The method developed by scientists from Argonne National Laboratory and University of Virginia predicts keyhole ...