Biography

Yi Yu is currently a postdoc (research associate) at Southeast University, Nanjing, China. His research advisor is Prof. Feipeng Da. His research interests include deep learning and computer vision, with a focus on oriented object detection, 3D optical measurement, and 3D vision.

Education. Yi Yu received the Ph.D. and B.E. degrees from the School of Automation, Southeast University, Nanjing, China, in 2022 and 2016.

Publications

* Equal contribution. † Corresponding author. # Project leader.

Point2RBox-v2：Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instances

Yi Yu, Botao Ren, Peiyuan Zhang, Mingxin Liu, Junwei Luo, Shaofeng Zhang, Feipeng Da, Junchi Yan, Xue Yang
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, CCF-A), 2025.
arXiv | Code | Zhihu

Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection

Yi Yu, Xue Yang, Yansheng Li, Zhenjun Han, Feipeng Da, Junchi Yan
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, JCR-Q1, CCF-A), 2025.

LMMRotate: A Simple Aerial Detection Baseline of Multimodal Language Models

Qingyun Li, Yushi Chen, Xinya Shu, Dong Chen, Xin He, Yi Yu, Xue Yang
arXiv (), 2025.

PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection

Botao Ren*, Xue Yang*, Yi Yu*, Junwei Luo, Zhidong Deng†
International Conference on Learning Representations (ICLR), 2025.

PCBSSD: Self-supervised Symmetry-aware Detector for PCB Displacement and Orientation Inspection

Jingxuan Li, Feipeng Da, Yi Yu†
Measurement (MEAS, JCR-Q1), 2025.

STAR: A First-Ever Dataset and A Large-Scale Benchmark for Scene Graph Generation in Large-Size Satellite Imagery

Yansheng Li, Linlin Wang, Tingzhu Wang, Xue Yang, Junwei Luo, Qi Wang, Youming Deng, Wenbin Wang, Xian Sun, Haifeng Li, Bo Dang, Yongjun Zhang, Yi Yu, Junchi Yan†
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, JCR-Q1, CCF-A), 2024.

On Boundary Discontinuity in Angle Regression Based Arbitrary Oriented Object Detection

Yi Yu, Feipeng Da†
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, JCR-Q1, CCF-A), 2024.

Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-end Oriented Object Detection with Single Point Supervision

Yi Yu*, Xue Yang*, Qingyun Li, Feipeng Da†, Jifeng Dai, Yu Qiao, Junchi Yan†
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, CCF-A), 2024.
arXiv | Code | Zhihu

PointOBB: Learning Oriented Object Detection via Single Point Supervision

Junwei Luo, Xue Yang#, Yi Yu, Qingyun Li, Junchi Yan, Yansheng Li†
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, CCF-A), 2024.
arXiv | Code | Zhihu

H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection

Yi Yu*, Xue Yang*, Qingyun Li, Yue Zhou, Feipeng Da†, Junchi Yan†
Neural Information Processing Systems (NeurIPS, CCF-A), 2023.
arXiv | Code | Zhihu

Phase-shifting coder: Predicting accurate orientation in oriented object detection

Yi Yu, Feipeng Da†
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, CCF-A), 2023.
arXiv | Code | Zhihu

Few-data guided learning upon end-to-end point cloud network for 3D face recognition

Yi Yu, Feipeng Da†, Ziyu Zhang
Multimedia Tools and Applications (MTAP, JCR-Q2, CCF-C), 2022.

Learning directly from synthetic point clouds for “in-the-wild” 3D face recognition

Ziyu Zhang, Feipeng Da†, Yi Yu
Pattern Recognition (PR, JCR-Q1, CCF-B), 2022.

Defocused projection model for phase-shifting profilometry with a large depth range

Yi Yu, Feipeng Da†
Optics Express (OE, JCR-Q1), 2021.

High-Speed Phase-Shifting 3D Profilometry on Human Face Assisted by Statistical Model

Yi Yu, Feipeng Da†, Yifan Guo, Ziyu Zhang
IEEE Transactions on Computational Imaging (TCI, JCR-Q1), 2020.

Sparse ICP With Resampling and Denoising for 3D Face Verification

Yi Yu, Feipeng Da†, Yifan Guo
IEEE Transactions on Information Forensics and Security (TIFS, JCR-Q1, CCF-A), 2019.

Projects

Research on Deep-Learning-Based 3D-AOI Technology for Printed Circuits

Principal Investigator
National Natural Science Foundation of China (62306069), 2024–2026.

Research on Optical Inspection Technology Based on Weakly-Supervised Learning

Principal Investigator
China Postdoctoral Science Foundation (2023M740602), 2024–2026.

Awards

♦ Jiangsu Funding Program for Excellent Postdoctoral Talent, 2023.

♦ Zhishan Postdoc Program of Southeast University, 2022.

♦ The 1st Prize of China in National Undergraduate Electronic Design Contest, 2015.

♦ The 2nd Prize of China in the 14th “Challenge Cup” National College Student Curricular Academic Science and Technology Works Competition, 2015.

♦ The 1st Prize of Eastern China in the 9th “Freescale Cup” National College Student Smart Car Competition, 2014.