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  • M.S. student at UNIST AIGS
  • Ulsan, Republic of Korea

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taegyeong-lee/README.md

Taegyeong Lee

Hello, I am a master's student in MVLLAB at Artificial Intelligence Graduate School (UNIST). I am fortunate to be advised by Taehwan Kim.

My main research areas are Generative Models and Multimodal Learning. I am specifically interested in novel research that generates images or videos from audio or text (various modalities). Just as humans can think and infer from various senses, I believe that the various modalities and generative models can have a significant impact on our community in the future. Also i am interested in Quantitative Trading on cryptocurrency market. Now, I am open to internships.

https://sites.google.com/view/taegyeonglee/home

Email : taegyeonglee@unist.ac.kr
Bussiness Email : apdo@apdoprivate.com

International Publications

  • Taegyeong Lee*, Soyeong Kwon* and Taehwan Kim, Grid Diffusion Models for Text-to-Video Generation, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 [pdf][project page]
  • Taegyeong Lee, Jeonghun Kang, Hyeonyu Kim and Taehwan Kim, Generating Realistic Images from In-the-wild Sounds, IEEE/CVF International Conference on Computer Vision (ICCV), 2023 [pdf][project page]

Pinned

  1. Grid-Diffusion-Models-for-Text-to-Video-Generation Grid-Diffusion-Models-for-Text-to-Video-Generation Public

    Official Code Repository for the paper "Grid Diffusion Models for Text-to-Video Generation", CVPR 2024

    6

  2. Generating-Realistic-Images-from-In-the-wild-Sounds Generating-Realistic-Images-from-In-the-wild-Sounds Public

    Official Code Repository for the paper "Generating Realistic Images from In-the-wild Sounds", ICCV 2023

    Jupyter Notebook 8 1