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Ryan Marten

University of Illinois at Urbana-Champaign

4 papers hereh-index 31.1k citations5 works total

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

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
affiliations
  • University of Illinois at Urbana-Champaign
Homepage
same name
  • Ryan Marten — 4 papers, h 2

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
20212023
most citedDataComp: In search of the next generation of multimodal datasets

74 citations · 89 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 3 cited

Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action

Jiasen Lu, Christopher Clark, Sangho Lee +5

We present Unified-IO 2, the first autoregressive multimodal model that is capable of understanding and generating image, text, audio, and action. To unify different modalities, we…

cs.CV2023★ 74 cited

DataComp: In search of the next generation of multimodal datasets

Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang +31

Multimodal datasets are a critical component in recent breakthroughs such as Stable Diffusion and GPT-4, yet their design does not receive the same research attention as model arch…

cs.CV2022★ 11 cited

GRIT: General Robust Image Task Benchmark

Tanmay Gupta, Ryan Marten, Aniruddha Kembhavi +1

Computer vision models excel at making predictions when the test distribution closely resembles the training distribution. Such models have yet to match the ability of biological v…

cs.CV2021★ 1 cited

Contour-guided Image Completion with Perceptual Grouping

Morteza Rezanejad, Sidharth Gupta, Chandra Gummaluru +4

Humans are excellent at perceiving illusory outlines. We are readily able to complete contours, shapes, scenes, and even unseen objects when provided with images that contain broke…

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