Qian Xie
Lecturer at University of Leeds
Leeds, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolQian Xie is a Lecturer and former Oxford Research Associate with a decade of experience in 3D vision, point cloud processing, and scene understanding, holding a PhD from Nanjing University of Aeronautics and Astronautics and a joint PhD stint at Cardiff University. At Oxford she developed deep learning methods for 3D human localization and multimodal pedestrian detection, combining RGB, thermal, and multi-sensor point-cloud inputs for robust perception in autonomous systems. Now based in Leeds, she teaches geometric deep learning and continues to publish at top venues including CVPR, ICCV, ECCV, IJCV and RA-L, reflecting both theoretical depth and practical system-building. Her work uniquely bridges academic rigor and applied sensing—turning multi-sensor fusion ideas into methods that improve real-world human and pedestrian understanding.
10 years of coding experience
3 years of employment as a software developer
Joint PhD student 3D Computer Vision, Joint PhD student 3D Computer Vision at Cardiff University / Prifysgol CaerdyddDoctor of Philosophy - PhD 3D Computer Vision, Doctor of Philosophy - PhD 3D Computer Vision at Nanjing University of Aeronautics and Astronautics
Chinese, English
Github Skills (31)
pointnet10
datasets10
point-cloud10
robotics9
voting9
3d-object-detection9
3d7
computer-vision7
object-detection7
crawler6
scrapy6
spider6
deep-learning6
pytorch6
redis4
Programming languages (2)
Github contributions (5)
NUAAXQ/personal_website
Jan 2022 - Jan 2025
Contributions:103 pushes, 1 branch in 3 years
NUAAXQ/awesome-point-cloud-analysis-2023
Mar 2020 - Jan 2023
A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
Contributions:204 commits, 6 PRs, 204 pushes in 2 years 10 months
daypointupdatepointnetdatasets
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