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DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Model

Published in arXiv, 2023

This paper is about fixing template issue #693.

Authors: Hoigi Seo*, Hayeon Kim, Gwanghyun Kim and Se Young Chun. (* co-first author)
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BeyondScene: Higher-Resolution Human-Centric Scene Generation With Pretrained Diffusion

Published in European Conference on Computer Vision (ECCV), 2024

This paper is about generating human-centric ultra-high resolution image with pre-trained diffusion model.

Authors: Gwanghyun Kim*, Hayeon Kim*, Hoigi Seo*, Dong Un Kang*, and Se Young Chun. (* co-first author)
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INTRA: Interaction Relationship-aware Weakly Supervised Affordance Grounding

Published in Twelfth International Workshop on Assistive Computer Vision and Robotics (ACVR24) (oral), 2024

This paper is about training models to tackle affordance grounding with weakly supervised learning.

Authors: Ji Ha Jang*, Hoigi Seo*, and Se Young Chun. (* co-first author)
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INTRA: Interaction Relationship-aware Weakly Supervised Affordance Grounding

Published in European Conference on Computer Vision (ECCV), 2024

This paper is about training models to tackle affordance grounding with weakly supervised learning.

Authors: Ji Ha Jang*, Hoigi Seo*, and Se Young Chun. (* co-first author)
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Harmonization for a black-box deep learning model

Published in International Society for Magnetic Resonance in Medicine (ISMRM) (oral), 2025

This paper is about harmonizing MR image for a black-box deep learning model

Authors: Minjun Kim, Hwihun Jeong, Hoigi Seo, Se Young Chun, and Jongho Lee

Skrr: Skip and Re-use Text Encoder Layers for Memory Efficient Text-to-Image Generation

Published in arXiv, 2025

This paper is about training models to tackle affordance grounding with weakly supervised learning.

Authors: Hoigi Seo*, Wongi Jeong*, Jae-sun Seo, and Se Young Chun. (* co-first author)
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Efficient Personalization of Quantized Diffusion Model without Backpropagation

Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025

This paper is about training models to tackle affordance grounding with weakly supervised learning.

Authors: Hoigi Seo*, Wongi Jeong*, Kyungryeol Lee, and Se Young Chun. (* co-first author)
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Talk 1 on Relevant Topic in Your Field

Published: March 01, 2012

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Tutorial 1 on Relevant Topic in Your Field

Published: March 01, 2013

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Talk 2 on Relevant Topic in Your Field

Published: February 01, 2014

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Conference Proceeding talk 3 on Relevant Topic in Your Field

Published: March 01, 2014

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Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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