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To address these challenges, we present the Multitask Adversarial Variational Autoencoder (M-AVAE), a bespoke deep learning framework designed to enhance brain age predictions through multimodal MRI ...

First, old camera and Lidar data are fused to create a 3D reconstruction of the remote vehicle environment using conventional and deep-learning-based algorithms. Then the ego-vehicle’s real-time ...

├── autoencoder.py # Main VQ-VAE model implementation ├── config.yaml # Configuration file for model and training ├── dataset.py # Dataset loader for image data ├── ema.py # Exponential Moving Average ...

Bundle adjustment jointly optimizes camera intrinsics and extrinsics and 3D point triangulation to reconstruct a static scene. The triangulation constraint, however, is invalid for moving points ...

Traditional 3D reconstruction often requires multiple images or specialized equipment. This project aims to overcome these limitations by leveraging recent advances in AI and computer vision to ...

Department of Plastic & Reconstructive Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seodaemun-gu 03722, Republic of Korea Department of Plastic & Reconstructive Surgery, ...

Complete cellular reconstruction of compound eyes using vEM based on focused ion beam (FIB) SEM makes it possible not only to visualize the 3D structure of the whole ... Jeol JSM-6380 with a ...

The specimens were studied and imaging was performed using Jeol JSM-6380 with a 5-megapixel digital camera. The right eye was used for the three-dimensional (3D) reconstruction, volumetric analysis ...