IEEE

A Multi-Sensor Fusion Based 2D-Driven 3D Object Detection Approach for Large Scene Applications

Abstract: In this paper, we propose a 3D object detection approach for large-scale environments by considering the 2D visual information and 3D lidar data simultaneously. In the proposed multi-sensor ...
GitHub

Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set —— PyTorch implementation

This is an unofficial official pytorch implementation of the following paper: Y. Deng, J. Yang, S. Xu, D. Chen, Y. Jia, and X. Tong, Accurate 3D Face Reconstruction with Weakly-Supervised Learning: ...
GitHub

[ICME2025] From 2D images to 3D model: Weakly Supervised Multi-View Face Reconstruction with Deep Fusion

For 3090: We recommend CUDA 11.1 & Python v3.8.10 & Pytorch 1.9.0 conda create -n dfnet python=3.8.10 source activate dfnet conda install -c conda-forge cudatoolkit=11.1 cudnn=8.1.0 conda install -c ...
IEEE

Deep Scene Flow Learning: From 2D Images to 3D Point Clouds

Abstract: Scene flow describes the 3D motion in a scene. It can be modeled as a single task or as a composite of the auxiliary tasks of depth, camera motion, and optical flow estimation. Deep learning ...
https//beincrypto.com

Tomorrow the Fed Ends QT — Crypto Thinks the Melt-Up Starts Now

Fed ends QT, freezing balance sheet at $6.57 trillion and boosting liquidity. Analysts compare conditions to 2019, when QT pause sparked crypto rally. Rising M2 and repo liquidity may trigger early ...