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Name: YooJin Jang

Type: User

Location: Seoul, Republic of Korea

Hi all! 🌱

I'm Yoojin I am a Combined MS/PhD student at LAIT in UNIST.

🐬 Paper

[생성 모델을 통한 신경망의 순수 구조적 영향력 분석 방법 (IPIU'24)]
Can We Find Strong Lottery Tickets in Generative Models? (AAAI'23) Project page
TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models (NeurIPS'23) Project page

🚴‍♀️ Career

2020.01 - 2020.02 Pennsylvania State University Global FellowShip Internship in USA
2021.01 - 2021.08 VCMI Lab Intern
2021.09 - UNIST LAIT Combined MS/PhD Student
2022.05 - 2022.11 UNIST AICP Face Swap Team Mentor
2022.07 - 2022.11 Smilegate AI membership
2023.12 - 2024.04 [Boostcamp AI Tech 2024] CV Recent Trends Teacher's Assistant

🚴‍♀️ Presentation

Date	Paper	Link
2022.04.01	UNIST CoreAI [220401] Diffusion Models Beat GANs on Image Synthesis	Youtube link
2022.08.05	UNIST CoreAI [220805] On Aliased Resizing and Surprising Subtleties in GAN Evaluation	Youtube link
2023.05.15 & 17	UNIST AI518 Deep Generative models - Evaluation Metrics for Generative models seminar	PPT will be uploaded soon!

🛠 Tech Stack

YooJin Jang's Projects

deep-generative-prior

Code for deep generative prior (ECCV2020 oral)

eqgan-sa

[CVPR 2022] Improving GAN Equilibrium by Raising Spatial Awareness

gen-vlkt

Code for our CVPR 2022 Paper "GEN-VLKT: Simplify Association and Enhance Interaction Understanding for HOI Detection"

gfmn

Pytorch code for "Learning Implicit Generative Models by Matching Perceptual Features", ICCV 2019

imageshortcutsqueezing

Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression

improved-precision-and-recall-metric

Improved Precision and Recall Metric for Assessing Generative Models - Official TensorFlow Implementation

ios-swift-objc-questions-and-answers

iOS (swift, objc)개발을 하면서 알게된 질문과 답변 모음.😀

metal-examples

Apple의 그래픽 API인 Metal을 연습하기 위한 레포지토리 입니다

multimodalexplanations

Code release for Park et al. Multimodal Multimodal Explanations: Justifying Decisions and Pointing to the Evidence. in CVPR, 2018

phenaki-pytorch

Implementation of Phenaki Video, which uses Mask GIT to produce text guided videos of up to 2 minutes in length, in Pytorch

precision-recall-distributions

Assessing Generative Models via Precision and Recall (official repository)

progressive_growing_of_gans-pytorch

A PyTorch 0.4 implementation of Progressive Growing of GANs for Improved Quality, Stability and Variability (https://arxiv.org/abs/1710.10196)

projected_gan

[NeurIPS'21] Projected GANs Converge Faster

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Examples for classification, object detection, segmentation, embedding networks and more. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM