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Hi there 👋🏻,

🔭 I am currently focused on developing cutting-edge multi-modality models capable of generating and understanding text and images natively.

My specific areas of interest include:

  • Denoising

  • Auto-regressive Generation
  • Diffusion

PS: I recognize that all diffusion and next-token generation tasks are inherently denoising tasks. (2024/05)


  • Document Understanding & Layout Analysis
  • Optical Character Recognition
  • Object Detection

PS: Looks like all these tasks can be regarded as next-token generation tasks. (2023/12)


In addition to my current work, I have prior experience in Robotics Perception from my Master's studies. I hope my work can be helpful to you.

Feel free to reach out if you have any questions or if there's anything I can assist with!

Norm Inui's Projects

build-dev-image icon build-dev-image

A quick start of building docker dev images that allows you to specify torch version, base image, python version, etc.

docparser-pytorch icon docparser-pytorch

An unofficial Implementation of DocParser: End-to-end OCR-free Information Extraction from Visually Rich Documents

ernie-layout-pytorch icon ernie-layout-pytorch

An unofficial Pytorch implementation of ERNIE-Layout which is originally released through PaddleNLP.

layout2graph icon layout2graph

An official implementation of paper "Paragraph2Graph: A Language-independent GNN-based framework for layout analysis"

nougat-latex-ocr icon nougat-latex-ocr

Codebase for fine-tuning / evaluating nougat-based image2latex generation models

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