Jeongho Kim

According to our database, Jeongho Kim authored at least 17 papers between 2021 and 2025.

Collaborative distances:

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

2025

From Wardrobe to Canvas: Wardrobe Polyptych LoRA for Part-level Controllable Human Image Generation.

Jeongho Kim, Sunghyun Park, Hyoungwoo Park, Sungrack Yun, Jaegul Choo, Seokeon Choi

CoRR, July, 2025

MultiHuman-Testbench: Benchmarking Image Generation for Multiple Humans.

Shubhankar Borse, Seokeon Choi, Sunghyun Park, Jeongho Kim, Shreya Kadambi, Risheek Garrepalli, Sungrack Yun, Munawar Hayat, Fatih Porikli

CoRR, June, 2025

ShoeGenAI: A Creativity Support Tool for High-Feasible Shoe Product Design.

Hui-Jun Kim, Jeongho Kim, Sohyun Jeong, Minbong Lee, Jaegul Choo, Sung-Hee Kim

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

What to Preserve and What to Transfer: Faithful, Identity-Preserving Diffusion-based Hairstyle Transfer.

Chaeyeon Chung, Sunghyun Park, Jeongho Kim, Jaegul Choo

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask.

Jeongho Kim, Hoiyeong Jin, Sunghyun Park, Jaegul Choo

CoRR, 2024

Relation-Aware Label Smoothing for Self-KD.

Jeongho Kim, Simon S. Woo

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

TCAN: Animating Human Images with Temporally Consistent Pose Guidance Using Diffusion Models.

Jeongho Kim, Min-Jung Kim, Junsoo Lee, Jaegul Choo

Proceedings of the Computer Vision - ECCV 2024, 2024

Stable VITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On.

Jeongho Kim, Gyojung Gu, Minho Park, Sunghyun Park, Jaegul Choo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On.

Jeongho Kim, Gyojung Gu, Minho Park, Sunghyun Park, Jaegul Choo

CoRR, 2023

MGCMA: Multi-scale Generator with Channel-wise Mask Attention to generate Synthetic Contrast-enhanced Chest Computed Tomography.

Jeongho Kim, Yun-Gyoo Lee, Donggeun Ko, Taejune Kim, Soo-Youn Ham, Simon S. Woo

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

IMF: Integrating Matched Features Using Attentive Logit in Knowledge Distillation.

Jeongho Kim, Hanbeen Lee, Simon S. Woo

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

KID34K: A Dataset for Online Identity Card Fraud Detection.

Eun-Ju Park, Seung-Yeon Back, Jeongho Kim, Simon S. Woo

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

A Face Pre-Processing Approach to Evade Deepfake Detector.

Taejune Kim, Jeongho Kim, Jeonghyeon Kim, Simon S. Woo

Proceedings of the WDC@AsiaCCS '22: Proceedings of the 1st Workshop on Security Implications of Deepfakes and Cheapfakes, 2022

PTD: privacy-preserving human face processing framework using tensor decomposition.

Jeongho Kim, Shahroz Tariq, Simon S. Woo

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Evading Deepfake Detectors via High Quality Face Pre-Processing Methods.

Jeongho Kim, Taejune Kim, Jeonghyeon Kim, Simon S. Woo

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Sliding Cross Entropy for Self-Knowledge Distillation.

Hanbeen Lee, Jeongho Kim, Simon S. Woo

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

VFP290K: A Large-Scale Benchmark Dataset for Vision-based Fallen Person Detection.

Jaeju An, Jeongho Kim, Hanbeen Lee, Jinbeom Kim, Junhyung Kang, Minha Kim, Saebyeol Shin, Donghee Hong, Simon S. Woo

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021