Matthew Thorpe

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it; #20,555 of 21,575 by trust here, #15,529 by citations
• Applied Mathematics — 6 citations into it

Whom Matthew Thorpe trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Marco Cuturi
2. Cédric Villani
3. Quentin Mérigot
4. Jean-David Benamou

Who trusts Matthew Thorpe overall

1. Soheil Kolouri

Papers from Matthew Thorpe's perspective

Ordered by how strongly the researchers Matthew Thorpe trusts endorse each paper. Same corpus, a different order for every researcher.

1. Optimal Transport: Old and New
2. Sinkhorn Distances: Lightspeed Computation of Optimal Transport
3. The Earth Mover's Distance as a Metric for Image Retrieval
4. A computational fluid mechanics solution to the Monge-Kantorovich mass transfer problem
5. THE GEOMETRY OF DISSIPATIVE EVOLUTION EQUATIONS: THE POROUS MEDIUM EQUATION
6. Wasserstein GAN
7. Optimal Transport for Applied Mathematicians
8. Optimal Mass Transport for Registration and Warping (International Journal of Computer Vision)
9. Optimal Transport for Domain Adaptation
10. A Multiscale Approach to Optimal Transport (Computer graphics forum (Print))

Their papers

• Optimal Mass Transport: Signal processing and machine-learning applications (2017) — 477 citations
• Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans (2020) — 936 citations