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Yuanwei Wu 吴元伟
Research Scientist at ObjectVideo Labs
8281 Greensboro Dr.,
McLean, VA |
I am a research scientist in ObjectVideo Labs at Alarm.com, working on image understanding and video analytics for Smart Home using computer vision and machine learning techniques.
I received my Ph.D. degree in Electrical Engineering from The University of Kansas,
advised by Professor Guanghui Wang in 2019.
Before that, I received my Master's degree in Electrical Engineering from Tufts University.
My research interests mainly focus on the area of computer vision and deep learning, particularly on efficient learning of
deep models for Human Pose Estimation, Face Recognition, 3D point cloud analysis, object detection and tracking.
2020/02: Joined ObjectVideo Labs.
2019/12: I successfully defended my Ph.D. dissertation.
2019/12: “Self-Orthogonality Module for Learning Orthogonal Filters” accepted by WACV 2020.
2019/11: “Multi-scale deep feature learning network for object detection” accepted by Pattern Recognition.
2019/08: “Unsupervised Joint 3D Object Model Learning and 6D Pose Estimation” accepted by ICCV 2019 workshop.
2019/08: “Deep Feature Transfer for Low Resolution Image Classification” accepted by ICCV 2019 workshop.
2018/04: “Multi-scale object detection” accpeted by ICPR 2018.
2018/03: “BPGrad” accepted by CVPR 2018.
Object Detection with Convolutional Neural Networks [PDF] Kaidong Li, Wenchi Ma, Usman Sajid, Yuanwei Wu and Guanghui Wang Deep Learning in Computer Vision: Principles and Applications, ISBN 9781138544420, 2020.
MDFN: Multi-scale deep feature learning network for object detection [PDF] Wenchi Ma, Yuanwei Wu, Feng Cen, Guanghui Wang Pattern Recognition (PR), 2020.
Real-time Obstacle Detection and Tracking for Sense-and-Avoid Mechanism in UAVs [PDF] Sushil Bharati, Yuanwei Wu, Yao Sui, Curtis Padgett and Guanghui Wang IEEE Transactions on Intelligent Vehicles, Volume: 3 , Issue: 2, pp:185-197, 2018.
Vision-based Real-Time Aerial Object Localization and Tracking for UAV Sensing System [PDF] [Code] Yuanwei Wu, Yao Sui, and Guanghui Wang IEEE Access, Vol. 5, 23969 - 23978, 2017.
Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters [PDF] Ziming Zhang, Wenchi Ma, Yuanwei Wu and Guanghui Wang The IEEE Winter Conference on Applications of Computer Vision (WACV), 2020.
Unsupervised Joint 3D Object Model Learning and 6D Pose Estimation for Depth-Based Instance Segmentation [PDF] Yuanwei Wu, Tim K. Marks, Anoop Cherian, Siheng Chen, Chen Feng, Guanghui Wang and Alan Sullivan The IEEE International Conference on Computer Vision (ICCV) 2019, 5th International Workshop on Recovering 6D Object Pose (R6D).
Unsupervised Deep Feature Transfer for Low Resolution Image Classification [PDF] Yuanwei Wu, Ziming Zhang and Guanghui Wang The IEEE International Conference on Computer Vision (ICCV) 2019, Workshop and Challenge on Real-World Recognition from Low-Quality Images and Videos (RLQ).
BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning [PDF] [Poster] Ziming Zhang*, Yuanwei Wu*, and Guanghui Wang (* Equal contribution) The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for Efficient Object Detection [PDF] [Poster] Wenchi Ma, Yuanwei Wu, Zongbo Wang and Guanghui Wang International Conference on Pattern Recognition (ICPR), 2018.
Fast and Robust Object Tracking with Adaptive Detection [PDF] Sushil Bharati, Soumyaroop Nandi, Yuanwei Wu, Yao Sui and Guanghui Wang IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI), 2016.