Jinsu Yoo

According to our database, Jinsu Yoo authored at least 11 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

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

CoRR, July, 2025

Static Segmentation by Tracking: A Frustratingly Label-Efficient Approach to Fine-Grained Segmentation.

Zhenyang Feng, Zihe Wang, Saul Ibaven Bueno, Tomasz Frelek, Advikaa Ramesh, Jingyan Bai, Lemeng Wang, Zanming Huang, Jianyang Gu, Jinsu Yoo, Tai-Yu Pan, Arpita Chowdhury, Michelle Ramirez, Elizabeth G. Campolongo, Matthew J. Thompson, Christopher G. Lawrence, Sydne Record, Neil Rosser, Anuj Karpatne, Daniel I. Rubenstein, Hilmar Lapp, Charles V. Stewart, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao

CoRR, January, 2025

Learning 3D Perception from Others' Predictions.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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 E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Looking beyond input frames: Self-supervised adaptation for video super-resolution.

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

Pattern Recognit., 2024

2023

Enriched CNN-Transformer Feature Aggregation Networks for Super-Resolution.

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Semantic-Aware Dynamic Parameter for Video Inpainting Transformer.

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Rich CNN-Transformer Feature Aggregation Networks for Super-Resolution.

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

CoRR, 2022

Fully Convolutional Transformer with Local-Global Attention.

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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Self-Supervised Adaptation for Video Super-Resolution.

Jinsu Yoo, Tae Hyun Kim

CoRR, 2021

2020

Fast Adaptation to Super-Resolution Networks via Meta-learning.

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

Proceedings of the Computer Vision - ECCV 2020, 2020