Charles R. Goulding and Preeti Sulibhavi analyze how AI-enabled FANUC robots could transform automation, additive ...

This repository is code release for our ICCV 2019 paper (arXiv report here). Current 3D object detection methods are heavily influenced by 2D detectors. In order to leverage architectures in 2D ...

Abstract: The 3D object recognition is an important research field in robotics. The real world object classification, retrieval, localization and tracking from images (2D or 3D data) are very useful ...

A new open-source tool is reshaping how engineers design multi-material objects. Charles Wade, a fourth-year PhD student in the Department of Computer Science at CU Boulder, has created a design ...

This repository contains the code for our NeurIPS 2024 paper: “Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection ...

Meta has introduced a new AI system called 3D Gen that can create high-quality 3D objects from text descriptions in less than a minute. Meta's new AI tool for generating 3D content, named 3D Gen, can ...

Scientists have created a new technology to assemble matter in 3D. Their concept uses multiple acoustic holograms to generate pressure fields with which solid particles, gel beads and even biological ...

Streamlit is an open-source Python coding framework for building web-applications or “web-apps” and is now being used by researchers to share large data sets from published studies and other resources ...

Deep learning is used in many recent developments in computer vision and robotics; however, training deep learning models takes a lot of data to generalize to new circumstances. Deep learning for ...