Kunhee Kim

Hi! I am a PhD student at the Kim Jaechul Graduate School of AI at KAIST, where I am conducting research in deep generative models. Specifically, I am currently working on developing new methods for diffusion models.

I am currently working on computer vision and machine learning.

Email: firstname.lastname (at) kaist.ac.kr

[CV] / [GitHub] / [Google Scholar] / [LinkedIn]

Publications

(* = equal contributions)

	AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks Kibeom Hong, Seogkyu Jeon, Junsoo Lee, Namhyuk Ahn, Kunhee Kim, Pilhyeon Lee, Daesik Kim, Youngjung Uh, and Hyeran Byun ICCV 2023 [Paper]
	Revisiting Image Pyramid Structure for High Resolution Salient Object Detection Taehun Kim, Kunhee Kim, Joonyeong Lee, Dongmin Cha, Jiho Lee, and Daijin Kim ACCV 2022 [Paper]
	Improving Style Randomization via Domain-specific Feature Reweighting for Domain Generalization Jiho Lee, Kunhee Kim, Taehun Kim, and Daijin Kim EUSIPCO 2022 [Paper]
	A Style-Aware Discriminator for Controllable Image Translation Kunhee Kim, Sanghun Park, Eunyeong Jeon, and Taehun Kim, and Daijin Kim CVPR 2022 [Paper] [Code] [Poster]
	Dense Depth Estimation from Multiple 360-degree Images Using Virtual Depth Seongyeop Yang, Kunhee Kim, and Yeejin Lee Applied Intelligence [Paper]
	Localization Uncertainty-Based Attention For Object Detection Sanghun Park, Kunhee Kim, Eunseop Lee, and Daijin Kim ICIP 2021 [Paper]
	FA-GAN: Feature-Aware GAN for Text to Image Synthesis Eunyeong Jeon, Kunhee Kim, and Daijin Kim ICIP 2021 [Paper]