Ji Hou

Staff Research Scientist at Meta

Menlo Park, California, United States
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Summary

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Senior
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Top School
Ji Hou is a Senior Research Scientist at Meta Superintelligence Labs with 11 years of experience building foundation models and generative AI systems, transitioning from XR and reality labs work to leading multimedia research. He holds a PhD in Computer Science from TUM and has a strong European research background including roles at Technical University of Munich, RWTH Aachen, and earlier collaborations and internships with Facebook AI. Based in Menlo Park, Ji combines deep academic rigor with product-driven research practice, focusing on scalable generative models for multimodal applications. Notably, his career blends hands-on model development at Meta with prior XR research, giving him a practical edge in applying generative techniques to immersive and real-world multimedia problems.
code11 years of coding experience
bookDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Technical University of Munich
languagesEnglish, German, Chinese
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Stackoverflow

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Github Skills (39)

keras10
instance-segmentation10
3d10
computer-vision10
representation-learning9
data-efficient9
deep-learning9
object-detection9
python8
depth8
mask-rcnn8
tensorflow8
pytorch3d8
pytorch8
data-science7

Programming languages (4)

C++JavaScriptJupyter NotebookPython

Github contributions (5)

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Sekunde/Pri3D

Jul 2021 - Dec 2021

[ICCV'21] Pri3D: Can 3D Priors Help 2D Representation Learning?
Contributions:15 commits, 19 pushes, 1 branch in 5 months
3drepresentation-learningdeep-learningpythoniccv2021
Code for CVPR 2021 oral paper "Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts"
Contributions:7 commits, 7 PRs, 51 comments in 7 months
3ddata-efficient
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