Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...
Abstract: Multimodal image-matching success rates (SRs) are often low due to nonlinear radiation differences. Furthermore, when geometric transformations such as rotation and resolution exist between ...
Researchers at the UCLA Samueli School of Engineering and CNSI (California NanoSystems Institute), led by Professor Aydogan Ozcan, introduced a snapshot 3D image projection system that integrates a ...
This repository contains implementation of the monocular/multi-view 3D object detector ImVoxelNet, introduced in our paper: ...
This REPO demonstrates an unofficial simplified implementation of SIGGRAPH 2025 Best Paper Nominate CAST: Component-Aligned 3D Scene Reconstruction from an RGB Image. The pipeline is modular and can ...
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