Kibeom Hong

According to our database, Kibeom Hong authored at least 15 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models.

Namhyuk Ahn, Junsoo Lee, Chunggi Lee, Kunhee Kim, Daesik Kim, Seung-Hun Nam, Kibeom Hong

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

DiffBlender: Scalable and Composable Multimodal Text-to-Image Diffusion Models.

Sungnyun Kim, Junsoo Lee, Kibeom Hong, Daesik Kim, Namhyuk Ahn

CoRR, 2023

Improving Diversity in Zero-Shot GAN Adaptation with Semantic Variations.

Seogkyu Jeon, Bei Liu, Pilhyeon Lee, Kibeom Hong, Jianlong Fu, Hyeran Byun

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks.

Kibeom Hong, Seogkyu Jeon, Junsoo Lee, Namhyuk Ahn, Kunhee Kim, Pilhyeon Lee, Daesik Kim, Youngjung Uh, Hyeran Byun

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Interactive Cartoonization with Controllable Perceptual Factors.

Namhyuk Ahn, Patrick Kwon, Jihye Back, Kibeom Hong, Seungkwon Kim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Exploiting domain transferability for collaborative inter-level domain adaptive object detection.

Mirae Do, Seogkyu Jeon, Pilhyeon Lee, Kibeom Hong, Yu-seung Ma, Hyeran Byun

Expert Syst. Appl., 2022

2021

The feature generator of hard negative samples for fine-grained image recognition.

Taehung Kim, Kibeom Hong, Hyeran Byun

Neurocomputing, 2021

ArrowGAN : Learning to generate videos by learning Arrow of Time.

Kibeom Hong, Youngjung Uh, Hyeran Byun

Neurocomputing, 2021

Feature Stylization and Domain-aware Contrastive Learning for Domain Generalization.

Seogkyu Jeon, Kibeom Hong, Pilhyeon Lee, Jewook Lee, Hyeran Byun

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Domain-Aware Universal Style Transfer.

Kibeom Hong, Seogkyu Jeon, Huan Yang, Jianlong Fu, Hyeran Byun

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Continuous Face Aging Generative Adversarial Networks.

Seogkyu Jeon, Pilhyeon Lee, Kibeom Hong, Hyeran Byun

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Learning CNN features from DE features for EEG-based emotion recognition.

Sunhee Hwang, Kibeom Hong, Guiyoung Son, Hyeran Byun

Pattern Anal. Appl., 2020

Subject-Independent EEG-based Emotion Recognition using Adversarial Learning.

Sunhee Hwang, Minsong Ki, Kibeom Hong, Hyeran Byun

Proceedings of the 8th International Winter Conference on Brain-Computer Interface, 2020

2019

EZSL-GAN: EEG-based Zero-Shot Learning approach using a Generative Adversarial Network.

Sunhee Hwang, Kibeom Hong, Guiyoung Son, Hyeran Byun

Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019

2016

OSoMe: the IUNI observatory on social media.

Clayton A. Davis, Giovanni Luca Ciampaglia, Luca Maria Aiello, Keychul Chung, Michael D. Conover, Emilio Ferrara, Alessandro Flammini, Geoffrey C. Fox, Xiaoming Gao, Bruno Gonçalves, Przemyslaw A. Grabowicz, Kibeom Hong, Pik-Mai Hui, Scott McCaulay, Karissa McKelvey, Mark R. Meiss, Snehal Patil, Chathuri Peli Kankanamalage, Valentin Pentchev, Judy Qiu, Jacob Ratkiewicz, Alex Rudnick, Benjamin Serrette, Prashant Shiralkar, Onur Varol, Lilian Weng, Tak-Lon Wu, Andrew J. Younge, Filippo Menczer

PeerJ Comput. Sci., 2016