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Jean Oh

6 papers hereh-index 469 citations11 works total

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

author position
  • middle author2
  • last author4

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.RO2
same name
  • Jean Oh — 23 papers, h 26
  • Jean Oh — 11 papers, h 4
  • Jean Oh — 9 papers, h 6
  • Jean Oh — 6 papers
  • Jean Oh — 6 papers, h 3
  • Jean Oh — 5 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
20242026
most citedCoFRIDA: Self-Supervised Fine-Tuning for Human-Robot Co-Painting

2 citations · 2 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Bridging Online and Offline Handwriting via Differentiable Physical Rendering

Seonmi Park, Seunghyun Shin, Vihaan Misra +4

Realistic handwritten text generation plays an important role in numerous applications, such as font design, biometric authentication, and robotic calligraphy. Existing methods are…

cs.CV2026

TokenDial: Continuous Attribute Control for Text-to-Video Generation in Visual Dial Space

Zhixuan Liu, Peter Schaldenbrand, Yijun Li +5

In video diffusion transformers, visual patch tokens maintain explicit correspondence to space and time. We hypothesize that their channel dimension can serve as a semantic control…

cs.CV2025

ShapeShift: Text-to-Mosaic Synthesis via Semantic Phase-Field Guidance

Vihaan Misra, Peter Schaldenbrand, Jean Oh

We present ShapeShift, a method for arranging rigid objects into configurations that visually convey semantic concepts specified by natural language. While pretrained diffusion mod…

cs.CV2024

SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation

Zhixuan Liu, Peter Schaldenbrand, Beverley-Claire Okogwu +5

Accurate representation in media is known to improve the well-being of the people who consume it. Generative image models trained on large web-crawled datasets such as LAION are kn…

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