Qiao Gu

Research Scientist Intern at University of Toronto

Old Toronto, Ontario, Canada
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Summary

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Qiao Gu is a PhD student in Computer Science at the University of Toronto with a decade of experience researching 3D computer vision, robot learning, and lifelong learning. Currently a Research Scientist Intern at NVIDIA, she previously held research internships at Meta where she developed 3D reconstruction methods for egocentric video and advanced video generation models with 3D spatial memory. Her background blends robotics training from Carnegie Mellon with systems and vision foundations from HKUST and Georgia Tech, enabling a practical, multidisciplinary approach to perception and embodied AI. Known for tackling long-horizon learning problems in visually-rich, first-person settings, she combines rigorous academic research with applied model development that bridges simulation and real-world robotics.
code10 years of coding experience
job1 year of employment as a software developer
bookExchange student Computer Science, Exchange student Computer Science at Georgia Institute of Technology
bookDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Toronto
bookMaster's degree Robotics, Master's degree Robotics at Carnegie Mellon University
bookHong Kong University of Science and Technology (HKUST)
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Github Skills (58)

rendering10
odometry10
responsive10
visualization9
python9
open3d9
opengl9
jekyll-theme9
3d9
github-pages9
gpu9
computer-graphics9
tailwindcss9
mesh-processing9
jekyll9

Programming languages (6)

C++CJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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Contributions:18 pushes in 5 years
wangguanzhi/LADN

Sep 2019 - Feb 2022

This is the implementation for Local Adversarial Disentangling Network for Facial Makeup and De-Makeup
Contributions:6 commits, 4 pushes, 4 comments in 2 years 5 months
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