Scholar
Junbo Yin
Google Scholar ID: OiEQrqUAAAAJ
KAUST; BEIJING INSTITUTE OF TECHNOLOGY; EPFL
Citations & Impact
Citations
2,136
H-index
18
i10-index
18
Publications
20
Co-authors
13
list available
Publications
Resume (English only)
Academic Achievements
- Published 18 conference and journal papers in venues such as CVPR, ICCV, ECCV, and TPAMI, with over 1300 citations on Google Scholar. Received several prestigious scholarships and honorary titles including the Excellent Graduate Student Award, the Special Graduate Scholarship, and the Huawei Scholarship. Additionally, awarded by Zhejiang Lab’s International Talent Fund for Young Professionals.
- - July 2024: One paper accepted to ECCV'24.
- - June 2024: One paper accepted as a Highlight Paper to CVPR'24.
- - February 2024: One paper accepted to AAAI'24.
- - October 2023: One paper accepted to ICCV'23.
- - February 2023: Two papers accepted to AAAI'23.
- - October 2022: Second place in ECCV'22 LiDAR Self-Supervised Learning Challenge; three papers accepted to ECCV'22.
- - December 2021: One paper accepted to TPAMI.
- - October 2021: Third place in ICCV'21 SSLAD Workshop.
- - May 2021: First place in ICRA'21 AI Driving Olympics.
- - June 2020: Three papers accepted to CVPR'20.
Research Experience
- Currently a postdoc researcher at KAUST, previously a PhD candidate at Beijing Institute of Technology and a visiting PhD student at EPFL.
Education
- - Ph.D. in Computer Vision, 2024, Beijing Institute of Technology, supervised by Prof. Jianbing Shen
- - MEng in Pattern Recognition and Intelligent System, 2018, Beijing Institute of Technology
- - BSc in Automation, 2016, North China Electric Power University
- - Visiting Ph.D. student, 2022-2023, École Polytechnique Fédérale de Lausanne (EPFL), supervised by Prof. Pascal Frossard
Background
- Currently a postdoctoral researcher in the Structural and Functional Bioinformatics Group at King Abdullah University of Science and Technology (KAUST). Research interests include 3D object detection, self-supervised learning, and domain adaptation.
Miscellany
- Research interests include 3D Object Detection & Tracking, Multimodal Learning, Autonomous Driving, and AI for Science.
