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Name: Ko BeomSeok

Type: User

Company: Dongguk Univ

Bio: Hi, What is your favorite poetry?

Location: seoul

Hi Welcome, I'm BEOMSEOK KO 👋

🔎 Research Interests

Deep Learning, Generative Models, Generative Model Lightweight

📚 Education

B.S. in Information Communication Engineering, Dongguk University, Seoul, Korea (2018 ~ 2023)
M.S. in Artificial Intelligence, Dongguk University, Seoul, Korea (2023.08 ~)

📝 Publications

Journal

StyleBoost: Personalizing Text-to-Image Generation in Any Style using Diffusion

JUNSEO PARK, BEOMSEOK KO, and HYERYUNG JANG
To be reviewed in ACM Transactions on Multimedia Computing, Communications, and Applications (ACM TOMM) Q1 IF: 5.1

Conference

StyleBoost: Personalizing Text-to-Image Generation in Any Style using DreamBooth [doi]

JUNSEO PARK, BEOMSEOK KO, and HYERYUNG JANG
International Conference on ICT Convergence, 2023 (ICTC 2023)

Domestic

VGG-Kface: An Optimization Study on Korean Face Recognition Using VGG-Face

Beom-Seok Ko, Min-jin Cho, Min-Gyeong Kim, Seung-Han Kim, Seong-Chan Lee and Yong-man Yu
Korea Information Processing Society, 2023 (ACK 2023)

✒️ Tech Stack

🔨 Tools

Ko BeomSeok's Projects

blackjack

cn_homwork

computer-network-algorithms

custom-diffusion_implement-for-multiple

User-friendly Custom-Diffusion Implementation by Pytorch

deepface

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

diffusiondet

[ICCV2023 Oral] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)

digital-signal-process

Digital signal process implement by MATLAB

distillbert-maml

dpok

dreambooth

gan_implement_project

gigagan-pytorch

Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs

gpt3.5-fine-tuning

kkko

llama2-fine-turning

matrix215

multi-styleboost

Official PyTorch implementation of Multi-StyleBoost.

qlora-fine-tuning-with-polyglot_ko

quantized_distillation

Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"

retrieval-augmented-generation

retrieval-augmented-generation-evalution

rl_cartpole_project

single-styleboost

PyTorch implementation of the paper "StyleBoost"

transformer-with-bert-embedding

transformer-with-BERT-embedding implement by Tensorflow

vgg-kface

Official Tensorflow implementation of VGG-kface. (ACK 2023)

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