Jinsu Yoo

17 papers A* 3A 2Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
On the Feasibility and Opportunity of Autoregressive 3D Object Detection.
CoRR
Zanming Huang, Jinsu Yoo, Sooyoung Jeon, Zhenzhen Liu, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao, Katie Z. Luo
2026 J jnl
When the City Teaches the Car: Label-Free 3D Perception from Infrastructure.
CoRR
Zhen Xu, Jinsu Yoo, Cristian Bautista, Zanming Huang, Tai-Yu Pan, Zhenzhen Liu, Katie Z. Luo, Mark E. Campbell, Bharath Hariharan, Wei-Lun Chao
2025 J jnl
Continual Unlearning for Text-to-Image Diffusion Models: A Regularization Perspective.
CoRR
Justin Lee, Zheda Mai, Jinsu Yoo, Chongyu Fan, Cheng Zhang, Wei-Lun Chao
2025 A* conf
Learning 3D Perception from Others' Predictions.
ICLR
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
2025 J jnl
Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective.
CoRR
Jinsu Yoo, Sooyoung Jeon, Zanming Huang, Tai-Yu Pan, Wei-Lun Chao
2025 J jnl
Static Segmentation by Tracking: A Frustratingly Label-Efficient Approach to Fine-Grained Segmentation.
CoRR
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
2025 A* conf
Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene.
CVPR
Tai-Yu Pan, Sooyoung Jeon, Mengdi Fan, Jinsu Yoo, Zhenyang Feng, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao
2025 J jnl
Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene.
CoRR
Tai-Yu Pan, Sooyoung Jeon, Mengdi Fan, Jinsu Yoo, Zhenyang Feng, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao
2024 J jnl
Learning 3D Perception from Others' Predictions.
CoRR
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
2024 J jnl
Looking beyond input frames: Self-supervised adaptation for video super-resolution.
Pattern Recognit.
Jinsu Yoo, Jihoon Nam, Sungyong Baik, Tae Hyun Kim
2023 A conf
Enriched CNN-Transformer Feature Aggregation Networks for Super-Resolution.
WACV
Jinsu Yoo, Taehoon Kim, Sihaeng Lee, Seung Hwan Kim, Honglak Lee, Tae Hyun Kim
2023 A* conf
Semantic-Aware Dynamic Parameter for Video Inpainting Transformer.
ICCV
Eunhye Lee, Jinsu Yoo, Yunjeong Yang, Sungyong Baik, Tae Hyun Kim
2022 A conf
Fully Convolutional Transformer with Local-Global Attention.
IROS
Sihaeng Lee, Eojindl Yi, Janghyeon Lee, Jinsu Yoo, Honglak Lee, Seung Hwan Kim
2022 J jnl
Rich CNN-Transformer Feature Aggregation Networks for Super-Resolution.
CoRR
Jinsu Yoo, Taehoon Kim, Sihaeng Lee, Seung Hwan Kim, Honglak Lee, Tae Hyun Kim
2021 J jnl
Self-Supervised Adaptation for Video Super-Resolution.
CoRR
Jinsu Yoo, Tae Hyun Kim
2020 J jnl
Fast Adaptation to Super-Resolution Networks via Meta-Learning.
CoRR
Seobin Park, Jinsu Yoo, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim
2020 — conf
Fast Adaptation to Super-Resolution Networks via Meta-learning.
ECCV (27)
Seobin Park, Jinsu Yoo, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim