Learning-based computational imaging models

Hadamard Layer to Improve Semantic Segmentation

Alternating Phase Langevin Sampling with Implicit Denoiser Priors for Phase Retrieval

Transient Dictionary Learning for Compressed Time-of-Flight Imaging

A DEEP DISENTANGLED APPROACH FOR INTERPRETABLE HYPERSPECTRAL UNMIXING

Semi-SwinDerain: Semi-supervised Image Deraining Network using Swin Transformer

Distributionally Robust Multiclass Classification and Applications in Deep Image Classifiers

Attention Based Relation Network for Facial Action Units Recognition

Super-Resolution for Macro X-ray Fluorescence Data Collected from Old Master Paintings

LIGHT FIELD COMPRESSION VIA COMPACT NEURAL SCENE REPRESENTATION