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Good to See You πŸ‘‹

I'm Woojun Jung, a Artificial Intelligence enthusiast from South Korea πŸ‡°πŸ‡·, currently studying for a Master's degree in AI.

My primary interests are:

  • πŸ“Ή Video Understanding
  • πŸ‘―β€β™‚οΈ Multimodal
  • πŸ‘· Applied AI

Woojun Jung's Projects

a2summ icon a2summ

The official implementation of 'Align and Attend: Multimodal Summarization with Dual Contrastive Losses' (CVPR 2023)

ai-tech-interview icon ai-tech-interview

πŸ‘©β€πŸ’»πŸ‘¨β€πŸ’» AI μ—”μ§€λ‹ˆμ–΄ 기술 λ©΄μ ‘ μŠ€ν„°λ”” (⭐️ 1k+)

albef icon albef

Code for ALBEF: a new vision-language pre-training method

ca-sum icon ca-sum

A PyTorch Implementation of CA-SUM from "Summarizing Videos using Concentrated Attention and Considering the Uniqueness and Diversity of the Video Frames", Proc. ACM ICMR 2022

dacon_contest icon dacon_contest

DACON λŒ€νšŒμ˜ 풀이λ₯Ό μ˜¬λ¦¬λŠ” κ³΅κ°„μž…λ‹ˆλ‹€ :D

dacon_hansol-deco icon dacon_hansol-deco

DACON-도배 ν•˜μž 질의 응닡 처리 : ν•œμ†”λ°μ½” μ‹œμ¦Œ2 AI κ²½μ§„λŒ€νšŒ

deep-learning-from-scratch icon deep-learning-from-scratch

γ€Žλ°‘λ°”λ‹₯λΆ€ν„° μ‹œμž‘ν•˜λŠ” λ”₯λŸ¬λ‹γ€(ν•œλΉ›λ―Έλ””μ–΄, 2017)

hirest icon hirest

Hierarchical Video-Moment Retrieval and Step-Captioning (CVPR 2023)

lavit icon lavit

LaVIT: Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization

matchsum icon matchsum

Code for ACL 2020 paper: "Extractive Summarization as Text Matching"

microsoft_models icon microsoft_models

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

pgl-sum icon pgl-sum

A PyTorch Implementation of PGL-SUM from "Combining Global and Local Attention with Positional Encoding for Video Summarization" (IEEE ISM 2021)

python_300 icon python_300

파이썬 300제 풀이λ₯Ό μ˜¬λ¦¬λŠ” κ³΅κ°„μž…λ‹ˆλ‹€!

pytorch icon pytorch

Deep Learning Zero to All - Pytorch

qd-detr icon qd-detr

Official pytorch repository for "QD-DETR : Query-Dependent Video Representation for Moment Retrieval and Highlight Detection" (CVPR 2023 Paper)

tac-sum icon tac-sum

Temporal Context Awareness for Cluster-based Video Summarization

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