My research focuses on advancing the fields of Computer Vision, 3D Scene Understanding, and Generative AI through innovative learning paradigms. I am particularly interested in: 3D Vision and Scene ...
First, congratulations on the excellent work and the CVPR 2025 Best Paper Award! I'm studying VGGT in depth and have a question about the architectural details that I believe would benefit the ...
A PyTorch project for learning Neural Networks, Optimizers, and Transformers through MNIST digit classification. py-torch-tour/ ├── main.py # Main entry point ├── pyproject.toml # Project config and ...
Abstract: This paper introduced a deep learning-based approach for the automated classification of kyphosis rehabilitation exercises. This paper introduces models that are capable of analyzing ...
Australian Institute for Machine Learning (AIML), School of Computer and Mathematical Sciences, University of Adelaide, Adelaide, South Australia 5005, Australia Institute for Photonics and Advanced ...
Abstract: Computational Electromagnetics (CEM) plays a crucial role in modeling electromagnetic wave interactions in subsurface environments, particularly in Logging While Drilling (LWD) for oil and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback