GitHub

Towards GPU-Native SfM for the Deep Learning Era

Note: The project requires an NVIDIA GPU with CUDA support. The code is tested on Ubuntu 20.04 with CUDA 12.1 and PyTorch 2.3.1. Windows system is strongly ...
IEEE

Sparse Regression LDPC Codes

Abstract: This article introduces a novel concatenated coding scheme called sparse regression LDPC (SR-LDPC) codes. An SR-LDPC code consists of an outer non-binary LDPC code and an inner sparse ...
IEEE

Dynamic Spectral Guided Spatial Sparse Transformer for Hyperspectral Image Reconstruction

Abstract: Hyperspectral image (HSI) reconstruction plays a crucial role in compressive spectral imaging with coded aperture snapshot spectrometry. Although HSI reconstruction has attracted much ...
Frontiers

Deployable deep learning for flow-field reconstruction: sparse measurements, physical credibility, and generalization

High-resolution flow fields are essential for understanding, predicting, and controlling fluid systems, yet they remain difficult to obtain from either experiments or high-fidelity simulations.
GitHub

sparse gated autoencoders for TensorFlow & Keras, batteries included

I kept wanting to train sparse autoencoders on Keras models without reimplementing the gated SAE from scratch or dragging everything over to PyTorch. So I packaged the version I kept rewriting: the ...