Qiang Wang
Engineering Manager at Apple
Haidian District, Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolQiang Wang is an engineering manager with 11 years of experience leading research-driven teams that build efficient, deployable computer vision and generative intelligence systems. Currently heading Apple’s Video Perception Team in Beijing, he focuses on real-time on-device scene understanding—detection, segmentation, and recognition—that powers features across ISP firmware and software layers. His background includes senior ML roles at Apple’s China Vision Lab and Alibaba, and a PhD in Computer Science from the University of Chinese Academy of Sciences with a visiting stint at Oxford’s Torr Vision Group, underscoring a strong bridge between academic research and product engineering. Known for delivering high-accuracy, resource-efficient segmentation models, he actively recruits researchers and engineers to translate cutting-edge vision research into production-grade systems.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Chinese Academy of SciencesVisiting Student @ Torr Vision Group, Visiting Student @ Torr Vision Group at University of Oxford
Github Skills (59)
object-tracking10
pytorch10
correlation10
deep-learning10
segmentation10
computer-vision10
high-speed10
siamese-network10
matconvnet9
python8
matlab8
gpu8
machine-learning8
defense8
optical-flow7
Programming languages (6)
Github contributions (5)
foolwood/SiamMask
Mar 2019 - Jun 2019
[CVPR19/TPAMI23] SiamMask: A Framework for Fast Online Object Tracking and Segmentation
Contributions:9 commits, 3 PRs, 8 pushes in 3 months
pytorchvisual-trackingdeep-learningapproachcomputer-vision
foolwood/KCF
Jul 2016 - Sep 2017
High-Speed Tracking with Kernelized Correlation Filters
Contributions:22 commits, 13 pushes in 1 year 2 months
speedfilterstrackingcorrelationhigh-speed
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