Using EOS, two dimensional (2D) and three-dimensional (3D) orthopedic images can be produced to assist doctors with the diagnosis and treatment of medical conditions of the spine, hips and knees. EOS ...

Abstract: While object semantic understanding is essential for service robotic tasks, 3D object classification is still an open ... We propose to learn from a graph of reproducible object parts whose ...

PolymerCpp provides a number of Python functions that exposes the C++ routines for generating 3D WLCs, including Important Note: The self-avoiding wormlike chain in this program does not produce the ...

This teaching package contains modular contents for the introduction of the fundamentals of Neural Networks. The package consists of a series of MATLAB Live Scripts with complementary PowerPoint ...

Google Beam turns 2D video streams into 3D experiences using AI It uses multiple webcams and light field display for depth and realism The system includes head ...

This work presents a framework based on adaptive graph convolution network (AGCN) to process both 2D and 3D facial landmarks extracted from the input RGB image. The network has a two-streams ...

which they demonstrated in 2D/3D perovskite solar cells. A n-i-p champion perovskite solar cell had a power conversion efficiency of 25.9%, retaining 91% of the initial performance after 1,074 ...

Matrix3D utilises a multimodal diffusion transformer (DiT) The model was developed in partnership with Nanjing University and HKUST It is an open-source model available for download on GitHub ...

Department of Computer Science, Vanderbilt University, 2201 West End Ave, Nashville, Tennessee 37235, United States ...