Jeonghyeok Do

According to our database, Jeonghyeok Do authored at least 11 papers between 2020 and 2026.

Collaborative distances:

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

2026

Less is More: Decoder-Free Masked Modeling for Efficient Skeleton Representation Learning.

Jeonghyeok Do, Yun Chen, Geunhyuk Youk, Munchurl Kim

CoRR, March, 2026

2025

PAN-Crafter: Learning Modality-Consistent Alignment for Pan-Sharpening.

Jeonghyeok Do, Sungpyo Kim, Geunhyuk Youk, Jaehyup Lee, Munchurl Kim

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-Shot Skeleton-Based Action Recognition.

Jeonghyeok Do, Munchurl Kim

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

U-Know-DiffPAN: An Uncertainty-aware Knowledge Distillation Diffusion Framework with Details Enhancement for PAN-Sharpening.

Sungpyo Kim, Jeonghyeok Do, Jaehyup Lee, Munchurl Kim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

C-DiffSET: Leveraging Latent Diffusion for SAR-to-EO Image Translation with Confidence-Guided Reliable Object Generation.

Jeonghyeok Do, Jaehyup Lee, Munchurl Kim

CoRR, 2024

TDSM: Triplet Diffusion for Skeleton-Text Matching in Zero-Shot Action Recognition.

Jeonghyeok Do, Munchurl Kim

CoRR, 2024

SkateFormer: Skeletal-Temporal Transformer for Human Action Recognition.

Jeonghyeok Do, Munchurl Kim

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

MorphVAD: Efficient Video Anomaly Detection Using Morphological Transformation.

Jeonghyeok Do, Munchurl Kim

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023

2021

Pseudo-Supervised Learning for Semantic Multi-Style Transfer.

Saehun Kim, Jeonghyeok Do, Munchurl Kim

IEEE Access, 2021

2020

Learning-Based JND-Directed HDR Video Preprocessing for Perceptually Lossless Compression With HEVC.

Sehwan Ki, Jeonghyeok Do, Munchurl Kim

IEEE Access, 2020

NTIRE 2020 Challenge on NonHomogeneous Dehazing.

Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Jing Liu, Haiyan Wu, Yuan Xie, Yanyun Qu, Lizhuang Ma, Ziling Huang, Qili Deng, Ju-Chin Chao, Tsung-Shan Yang, Peng-Wen Chen, Po-Min Hsu, Tzu-Yi Liao, Chung-En Sun, Pei-Yuan Wu, Jeonghyeok Do, Jongmin Park, Munchurl Kim, Kareem M. Metwaly, Xuelu Li, Tiantong Guo, Vishal Monga, Mingzhao Yu, Venkateswararao Cherukuri, Shiue-Yuan Chuang, Tsung-Nan Lin, David Lee, Jerome Chang, Zhan-Han Wang, Yu-Bang Chang, Chang-Hong Lin, Yu Dong, Hongyu Zhou, Xiangzhen Kong, Sourya Dipta Das, Saikat Dutta, Xuan Zhao, Bing Ouyang, Dennis Estrada, Meiqi Wang, Tianqi Su, Siyi Chen, Bangyong Sun, Vincent Jacob Whannou de Dravo, Zhe Yu, Pratik Narang, Aryan Mehra, Navaneeth Raghunath, Murari Mandal

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020