LabCompass

Jinsu Yoo

Computer Science · The Ohio State University

Early career · publishing since 2020Rising activity

Publications

12

Citations

116

Est. group size

~2

Recurring co-author estimate

Active years

7

Publishing since 2020

Research summary
AI-generated

Jinsu Yoo works in computer vision, focusing on image and video quality enhancement (such as super-resolution and inpainting) and 3D scene generation and perception, including applications relevant to autonomous driving. Recent work also explores how to make generative image models 'unlearn' certain content and how 3D perception models can learn from other models' predictions. This research combines deep learning techniques like transformers and diffusion models with self-supervised and meta-learning approaches.

Image and video super-resolution3D scene generation and perception for drivingVideo inpaintingDiffusion model unlearning/controlSelf-supervised and meta-learning adaptation

Publication output has grown from occasional single papers around 2020-2022 to multiple papers per year by 2023-2025, suggesting increasing recent activity.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.0/year recently
1718192020: 1 publication202021: 1 publication21222023: 2 publications232024: 2 publications242025: 3 publications3252026: 3 publications326
Publishes in
  • arXiv (Cornell University)×4
  • Pattern Recognition×1
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)×1
  • Lecture notes in computer science×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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