Juan Luis Gonzalez Bello

PhD Candidate

South Korea, Spain
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Summary

👤
Senior
Juan Bello is a research scientist specializing in self-supervised single-image understanding—depth, novel view synthesis, 3D reconstruction, inpainting, and image sharpening—with a decade of experience spanning academia and industry. A PhD candidate and postdoc from KAIST with internships at Adobe and Meta, he has first-author papers in top venues (ICIP, ICLR, NeurIPS, CVPR) and now applies neural rendering and dynamic face compositing as a researcher at Flawless. His background bridges rigorous signal-processing roots (BEng with near-perfect grades) and production-focused engineering from early roles at Procter & Gamble, enabling practical research that moves toward deployable tools. Based in Santa Monica, he combines deep technical depth in computer vision with hands-on experience shipping prototypes and contributing novel methods that often require minimal supervision. Notably, he pivots smoothly between inventive academic work and product-driven neural rendering challenges, reflecting a talent for translating complex models into real-world media applications.
code11 years of coding experience
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Github Skills (6)

lidar8
rendering2
mlp2
synthesis1
deep-learning1
radiance1

Programming languages (1)

Python

Github contributions (5)

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JuanLuisGonzalez/FAL_net

Oct 2020 - Apr 2021

Repository of our NeurIPS2020 Accepted paper "Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes"
Contributions:13 commits, 12 pushes, 1 branch in 6 months
lidar
Contributions:27 commits, 25 pushes, 1 branch in 1 year 11 months
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