Hyperspectral image Target Detection based on Sparse Representation

[ICLR 2019] "ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA", by Jialin Liu*, Xiaohan Chen*, Zhangyang Wang and Wotao Yin.

C and MATLAB implementation of CS recovery algorithm, i.e. Orthogonal Matching Pursuit, Approximate Message Passing, Iterative Hard Thresholding Algorithms

[AAAI 2022] Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification

Improving ALISTA with neural augmentation

Sequential adaptive elastic net (SAEN) approach, complex-valued LARS solver for weighted Lasso/elastic-net problems, and sparsity (or model) order detection with an application to single-snapshot source localization.

Unified algorithmic framework for reconstructing signals with finite rate of innovation

[SPM2018] Sparse3D: A new global model for matching sparse RGB-D dataset with small inter-frame overlap

Compressed Sensing and Sparse Recovery Algorithms and more!

A Bayesian method which utilises the rich structure embedded in the sensing matrix for fast sparse signal recovery

3D Reconstruction with using VisualSFM (for sparse and Dense Reconstruction) and MeshLab (for poisson surface Reconstruction)

Official implementation of Capturing Between-Tasks Covariance and Similarities Using Multivariate Linear Mixed Models [EJS 2020]

Gini Index based sparse signal recovery algorithm

Camera Calibration, 2-view sparse reconstruction, Multi View Traingulation

Python implementation for LEAP: Looking beyond pixels with continuous-space EstimAtion of Point sources

EE698K: Assignment on Sparse Image Inpainting using OMP and IRLS for reconstruction

Adaptive techniques to estimate graph signals

Efficient multidimensional Diracs estimation with finite rate of innovation sampling