Mingze Xu
Senior Applied Scientist at Adobe
Seattle, Washington, United States
Summary
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Top SchoolMingze Xu is a Senior Applied Scientist in Seattle with eight years of experience translating cutting‑edge computer vision and deep learning research into production‑grade multimodal systems. He earned a Ph.D. from Indiana University in 2020 and has published influential work on video understanding while at AWS (including papers at NeurIPS, CVPR, and ICCV). His industry path spans research and engineering roles across Microsoft, Honda Research Institute, Cruise, Apple (building foundation models), and now Adobe Firefly, where he advances Imaging GenAI. Mingze specializes in multimodal post‑training and foundation model development for perceptual tasks, combining rigorous academic grounding with product‑driven engineering. Colleagues know him for bridging high‑impact research with deployable model architectures that address real‑world perception challenges.
7 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Indiana University BloomingtonVisiting Student Researcher, Visiting Student Researcher at Georgia Institute of Technology
Chinese, English
Github Skills (16)
depth-estimation10
recurrent10
optical-flow10
evaluation10
siggraph10
temporal9
multimodal9
large-language-models7
reimplementation7
traffic7
agi7
computer-vision7
pytorch6
anomaly-detection5
deep-learning5
Programming languages (1)
Github contributions (5)
xumingze0308/xumingze0308.github.io
Mar 2020 - Mar 2025
Contributions:180 pushes, 1 branch, 2 comments in 5 years 1 month
xumingze0308/TRN.pytorch
Nov 2019 - Jul 2022
A PyTorch reimplementation for our ICCV 2019 paper "Temporal Recurrent Networks for Online Action Detection"
Contributions:9 commits, 8 pushes, 1 branch in 2 years 8 months
pytorchiccviccv-2019action-detectiondeep-learning
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