Luwei Yang - Google Scholar Proceedings of the IEEE CVF Conference on Computer Vision and Pattern … Multi-scale fully convolutional network for fast face detection Proceedings of the 13th ACM SIGGRAPH International
Jingtao Tang, Zining Mao, Lufan Yang and Hang Ma - arXiv. org Jingtao Tang, Zining Mao, Lufan Yang and Hang Ma Abstract—We address the Multi-Robot Motion Planning (MRMP) problem of computing collision-free trajectories for multiple robots in shared continuous environments While existing frameworks effectively decompose MRMP into single-robot subproblems, spatiotemporal motion planning with dy-
Northwest Robotics Symposium 2025 NWRS began in 2022 to bring together robotics labs in the Pacific Northwest, with previous editions held at the University of Washington and Oregon State University This free, all-day event brings together students, postdocs, industry researchers, and faculty working in robotics in the greater Northwest area
Team - rosielab. ca She received her M Sc degree in Computing Science from SFU and her B Sc in Electrical Engineering from University of Tehran Her main research interests are Computer Vision, Affective Computing, and Natural Language Processing
GrUVi - People - Simon Fraser University 2023 Hang Zhou, Gruvi Alumni Hanxiao Jiang (Shawn), Ph D student at University of Illinois Urbana-Champaign (UIUC) Akshay Gadi Patil, Gruvi Alumni Zhiqin Chen, Research Scientist at Adobe Research Luwei Yang, Map Localization Research Scientist @ TuSimple Sanjay Haresh, Gruvi Alumni Heng Li, Ph D Candidate of ECE at HKUST 2022 Sepideh Sarajian Maralan, Machine Learning Researcher at
Luwei Yang - OpenReview Promoting openness in scientific communication and the peer-review process
Luwei Yang - Machine Learning Engineer - Apple | LinkedIn MLE@Apple | ex-TuSimple · Computer Vision, 3D Vision, 3D Reconstruction, SLAM, Localization · Experience: Apple · Education: Simon Fraser University · Location: Cupertino · 268 connections on
Luwei Yangs research works Specifically, we propose a novel feature adaption module to close the gaps between the features for visual localization and neural rendering To improve the efficacy and efficiency of neural
Luwei Yang | IEEE Xplore Author Details Affiliations: [Simon Fraser University] Need Help? US Canada: +1 800 678 4333 Worldwide: +1 732 981 0060 Contact Support