Ph.D. Student · The Ohio State University

Jinsu Yoo

I'm a Ph.D. student at The Ohio State University advised by Wei-Lun (Harry) Chao.

My research investigates data, evaluation metrics, and algorithms for robust and accessible self-driving perception and planning.

I will be interning at Waymo this summer and have previously interned at LG AI Research.

CV (2025.09) • Google Scholar • LinkedIn • GitHub • Twitter

Research

Highlighted titles indicate first-author papers.

On the Feasibility and Opportunity of Autoregressive 3D Object Detection

Zanming Huang, Jinsu Yoo, Sooyoung Jeon, Zhenzhen Liu, Mark Campbell, Kilian Q Weinberger, Bharath Hariharan, Wei-Lun Chao, Katie Z Luo

CVPR 2026 Findings

Continual Unlearning for Text-to-Image Diffusion Models: A Regularization Perspective

Justin Lee*, Zheda Mai*, Jinsu Yoo, Chongyu Fan, Cheng Zhang, Wei-Lun Chao

ICLR 2026

arXiv Project page

Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective

Jinsu Yoo, Sooyoung Jeon, Zanming Huang, Tai-Yu Pan, Wei-Lun Chao

arXiv 2025

arXiv Project page

Static Segmentation by Tracking: A Label-Efficient Approach for Fine-Grained Specimen Image Segmentation

Zhenyang Feng, ..., Jinsu Yoo, ..., Wei-Lun Chao (25 authors)

CV4Animals@CVPR 2025 (Oral)

arXiv Code

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene

Tai-Yu Pan, Sooyoung Jeon, Mengdi Fan, Jinsu Yoo, Zhenyang Feng, Mark Campbell, Kilian Q Weinberger, Bharath Hariharan, Wei-Lun Chao

CVPR 2025

arXiv

Learning 3D Perception from Others' Predictions

Jinsu Yoo, Zhenyang Feng, Tai-Yu Pan, Yihong Sun, Cheng Perng Phoo, Xiangyu Chen, Mark Campbell, Kilian Q Weinberger, Bharath Hariharan, Wei-Lun Chao

ICLR 2025 · DriveX@ICCV 2025 (Oral) · X-Sense@ICCV 2025

arXiv Project page Code

Looking Beyond Input Frames: Self-Supervised Adaptation for Video Super-Resolution

Jinsu Yoo, Jihoon Nam, Sungyong Baik, Tae Hyun Kim

Pattern Recognition 2024

Paper Code

Semantic-Aware Dynamic Parameter for Video Inpainting Transformer

Eunhye Lee*, Jinsu Yoo*, Yunjeong Yang, Sungyong Baik, Tae Hyun Kim

ICCV 2023

Enriched CNN-Transformer Feature Aggregation Networks for Super-Resolution

Jinsu Yoo, Taehoon Kim, Sihaeng Lee, Seung Hwan Kim, Honglak Lee, Tae Hyun Kim

WACV 2023

arXiv Code

Fully Convolutional Transformer with Local-Global Attention

Eojindl Lee*, Sihaeng Lee*, Janghyeon Lee, Jinsu Yoo, Honglak Lee, Seung Hwan Kim

IROS 2022

Paper

Fast Adaptation to Super-Resolution Networks via Meta-Learning

Seobin Park*, Jinsu Yoo*, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim

ECCV 2020

arXiv Code Video