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Matthew Gwilliam

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV2
ORCID 0000-0001-9826-6285

identity via Semantic Scholar / OpenAlex

most citedDiffusion Models Beat GANs on Image Classification

16 citations · 16 across the 2 of their papers we have counts for

collaborators
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2024

Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics

Shishira R Maiya, Anubhav Gupta, Matthew Gwilliam +2

Implicit Neural Networks (INRs) have emerged as powerful representations to encode all forms of data, including images, videos, audios, and scenes. With video, many INRs for video…

cs.CV2023★ 16 cited

Diffusion Models Beat GANs on Image Classification

Soumik Mukhopadhyay, Matthew Gwilliam, Vatsal Agarwal +5

While many unsupervised learning models focus on one family of tasks, either generative or discriminative, we explore the possibility of a unified representation learner: a model w…

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