activity
20172026
most citedOn Probability of Support Recovery for Orthogonal Matching Pursuit Using Mutual Coherence

24 citations · 25 across the 5 of their papers we have counts for

collaborators

5 papers

cs.GR2026

Smaller and Faster 3DGS via Post-Training Dictionary Learning

Jiarong Gong, Jonas Unger, Ehsan Miandji

3D Gaussian Splatting (3DGS) is a promising neural scene representation for real-time rendering, but trained models often suffer from large memory footprints, limiting deployment o…

cs.CV2025

A Neural Quality Metric for BRDF Models

Behnaz Kavoosighafi, Rafal K. Mantiuk, Saghi Hajisharif +2

Accurately evaluating the quality of bidirectional reflectance distribution function (BRDF) models is essential for photo-realistic rendering. Traditional BRDF-space metrics often…

cs.CV2024★ 1 cited

Multidimensional Compressed Sensing for Spectral Light Field Imaging

Wen Cao, Ehsan Miandji, Jonas Unger

This paper considers a compressive multi-spectral light field camera model that utilizes a one-hot spectralcoded mask and a microlens array to capture spatial, angular, and spectra…

cs.GR2024

FROST-BRDF: A Fast and Robust Optimal Sampling Technique for BRDF Acquisition

Ehsan Miandji, Tanaboon Tongbuasirilai, Saghi Hajisharif +2

Efficient and accurate BRDF acquisition of real world materials is a challenging research problem that requires sampling millions of incident light and viewing directions. To accel…

cs.IT2017★ 24 cited

On Probability of Support Recovery for Orthogonal Matching Pursuit Using Mutual Coherence

Ehsan Miandji, Mohammad Emadi, Jonas Unger +1

In this paper we present a new coherence-based performance guarantee for the Orthogonal Matching Pursuit (OMP) algorithm. A lower bound for the probability of correctly identifying…