Matthew Gwilliam

Matthew Gwilliam

University of Maryland

H-index: 6

North America-United States

About Matthew Gwilliam

Matthew Gwilliam, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at University of Maryland, specializes in the field of Computer Vision, Deep Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions

Elusive Images: Beyond Coarse Analysis for Fine-Grained Recognition

Do text-free diffusion models learn discriminative visual representations?

Diffusion models beat gans on image classification

Hnerv: A hybrid neural representation for videos

A Video is Worth 10,000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval

Cnerv: Content-adaptive neural representation for visual data

Beyond supervised vs. unsupervised: Representative benchmarking and analysis of image representation learning

Matthew Gwilliam Information

University

Position

PhD Student

Citations(all)

140

Citations(since 2020)

139

Cited By

2

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Matthew Gwilliam Skills & Research Interests

Computer Vision

Deep Learning

Top articles of Matthew Gwilliam

Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions

arXiv preprint arXiv:2401.10217

2024/1/18

Elusive Images: Beyond Coarse Analysis for Fine-Grained Recognition

2024

Do text-free diffusion models learn discriminative visual representations?

arXiv preprint arXiv:2311.17921

2023/11/29

Diffusion models beat gans on image classification

arXiv preprint arXiv:2307.08702

2023/7/17

Hnerv: A hybrid neural representation for videos

CVPR

2023/4/5

A Video is Worth 10,000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval

arXiv preprint arXiv:2312.00115

2023/11/30

Cnerv: Content-adaptive neural representation for visual data

BMVC

2022/11/18

Beyond supervised vs. unsupervised: Representative benchmarking and analysis of image representation learning

2022

Matthew Gwilliam
Matthew Gwilliam

H-Index: 1

Abhinav Shrivastava
Abhinav Shrivastava

H-Index: 18

Machine translationese: Effects of algorithmic bias on linguistic complexity in machine translation

arXiv preprint arXiv:2102.00287

2021/1/30

Matthew Gwilliam
Matthew Gwilliam

H-Index: 1

Rethinking common assumptions to mitigate racial bias in face recognition datasets

2021

Matthew Gwilliam
Matthew Gwilliam

H-Index: 1

Alex Hanson
Alex Hanson

H-Index: 1

Fair comparison: Quantifying variance in results for fine-grained visual categorization

2021

Facing the hard problems in fgvc

2020

Intelligent image collection: Building the optimal dataset

2020

Matthew Gwilliam
Matthew Gwilliam

H-Index: 1

Ryan Farrell
Ryan Farrell

H-Index: 11

See List of Professors in Matthew Gwilliam University(University of Maryland)

Co-Authors

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