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Phillip Isola

8 papers hereh-index 6187 citations9 works total

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

author position
  • middle author6
  • last author2

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV8
same name
  • Phillip Isola — 65 papers, h 57
  • Phillip Isola — 10 papers, h 6
  • Phillip Isola — 7 papers, h 3
  • Phillip Isola — 5 papers, h 4
  • Phillip Isola — 4 papers, h 1
  • Phillip Isola — 3 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedAdaptive Length Image Tokenization via Recurrent Allocation

1 citations · 2 across the 6 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

What Makes for a Good Stereoscopic Image?

Netanel Y. Tamir, Shir Amir, Ranel Itzhaky +8

With rapid advancements in virtual reality (VR) headsets, effectively measuring stereoscopic quality of experience (SQoE) has become essential for delivering immersive and comforta…

cs.CV2024★ 1 cited

Adaptive Length Image Tokenization via Recurrent Allocation

Shivam Duggal, Phillip Isola, Antonio Torralba +1

Current vision systems typically assign fixed-length representations to images, regardless of the information content. This contrasts with human intelligence - and even large langu…

cs.CV2024★ 1 cited

When Does Perceptual Alignment Benefit Vision Representations?

Shobhita Sundaram, Stephanie Fu, Lukas Muttenthaler +5

Humans judge perceptual similarity according to diverse visual attributes, including scene layout, subject location, and camera pose. Existing vision models understand a wide range…

cs.CV2024

A Vision Check-up for Language Models

Pratyusha Sharma, Tamar Rott Shaham, Manel Baradad +5

What does learning to model relationships between strings teach large language models (LLMs) about the visual world? We systematically evaluate LLMs' abilities to generate and reco…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.