Linjie Luo is a Research Manager at ByteDance AI Lab who leads applied research in computer graphics and 3D computer vision, delivering technologies used across TikTok, Douyin and other global products. He has a strong track record of publishing more than 20 papers—18 in top-tier venues like SIGGRAPH, CVPR and ECCV—and holds over 10 granted US patents that have been productized into features like 3D stickers and marker tracking. Previously he was a Lead Research Scientist at Snap and a Research Scientist at Adobe, bringing deep AR and 3D scanning expertise to consumer-facing platforms. Linjie blends academic rigor (PhD from Princeton) with production engineering, evidenced by successful tech transfers and media-cited deployments. He also contributes to open-source ML projects (e.g., improving multi-object text recognition models with GPU optimizations), reflecting hands-on proficiency in model engineering and debugging. Based in Palo Alto, he excels at bridging novel research with scalable product impact.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Science (BS), Computer Software, Bachelor of Science (BS), Computer Software at Tsinghua University
PhD, Computer Science, PhD, Computer Science at Princeton University
MORAN: A Multi-Object Rectified Attention Network for Scene Text Recognition
Role in this project:
ML Engineer
Contributions:75 commits, 7 PRs, 36 pushes in 3 years 11 months
Contributions summary:Linjie primarily focused on developing and modifying the `asrn_res.py` file, indicating a core involvement in the model architecture. Their commits involved the addition of CUDA options, suggesting efforts to optimize model training and inference on GPUs. They also updated `morn.py` which appears to be related to image pre-processing, and addressed some bugs, demonstrating debugging skills within the project.
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