Skin detection based on multi-seed propagation in a multi-layer graph for regional and color consistency. - Insung Hwang; Yoonsik Kim; Nam Ik Cho (ICASSP, 2017)

Convolutional neural networks and training strategies for skin detection. - Yoonsik Kim; Insung Hwang; Nam Ik Cho (ICIP, 2017)

A New Convolutional Network-in-Network Structure and Its Applications in Skin Detection, Semantic Segmentation, and Artifact Reduction. - Yoonsik Kim; Insung Hwang; Nam Ik Cho (CoRR, 2017)

Block-Matching Convolutional Neural Network (BMCNN): Improving CNN-Based Denoising by Block-Matched Inputs. - Byeongyong Ahn; Yoonsik Kim; Gu Yong Park; Nam Ik Cho (APSIPA, 2018)

Reduction of Video Compression Artifacts Based on Deep Temporal Networks. - Jae Woong Soh; Jaewoo Park; Yoonsik Kim; Byeongyong Ahn; Hyun-Seung Lee; Young-Su Moon; Nam Ik Cho (IEEE Access, 2018)

Kernel Prediction Network for Detail-Preserving High Dynamic Range Imaging. - Haesoo Chung; Yoonsik Kim; Junho Jo; Sang-Hoon Lee; Nam Ik Cho (APSIPA, 2019)

Adaptively Tuning a Convolutional Neural Network by Gating Process for Image Denoising. - Yoonsik Kim; Jae Woong Soh; Nam Ik Cho (ICIP, 2019)

Pupil Center Detection Based on the UNet for the User Interaction in VR and AR Environments. - Sang Yoon Han; Yoonsik Kim; Sang Hwa Lee; Nam Ik Cho (VR, 2019)

Adaptively Tuning a Convolutional Neural Network by Gate Process for Image Denoising. - Yoonsik Kim; Jae Woong Soh; Nam Ik Cho (IEEE Access, 2019)

Transfer Learning From Synthetic to Real-Noise Denoising With Adaptive Instance Normalization. - Yoonsik Kim; Jae Woong Soh; Gu Yong Park; Nam Ik Cho (CVPR, 2020)

Recognition of Assembly Instructions Based on Geometric Feature and Text Recognition. - Jaewoo Park; Isaac Kang; Junhyeong Kwon; Eunji Lee; Yoonsik Kim; Sujeong You; Sang Hoon Ji; Nam Ik Cho (UR, 2020)

Noise-Robust Pupil Center Detection Through CNN-Based Segmentation With Shape-Prior Loss. - Sang Yoon Han; Hyuk Jin Kwon; Yoonsik Kim; Nam Ik Cho (IEEE Access, 2020)

AGARNet: Adaptively Gated JPEG Compression Artifacts Removal Network for a Wide Range Quality Factor. - Yoonsik Kim; Jae Woong Soh; Nam Ik Cho (IEEE Access, 2020)

Multi-Lingual Optical Character Recognition System Using the Reinforcement Learning of Character Segmenter. - Jaewoo Park; Eunji Lee; Yoonsik Kim; Isaac Kang; Hyung Il Koo; Nam Ik Cho (IEEE Access, 2020)

Dual Path Denoising Network for Real Photographic Noise. - Yeong Il Jang; Yoonsik Kim; Nam Ik Cho (IEEE Signal Process. Lett., 2020)

A Pseudo-Blind Convolutional Neural Network for the Reduction of Compression Artifacts. - Yoonsik Kim; Jae Woong Soh; Jaewoo Park; Byeongyong Ahn; Hyun-Seung Lee; Young-Su Moon; Nam Ik Cho (IEEE Trans. Circuits Syst. Video Technol., 2020)

SynthTIGER: Synthetic Text Image GEneratoR Towards Better Text Recognition Models. - Moonbin Yim; Yoonsik Kim; Hancheol Cho; Sungrae Park (ICDAR (4), 2021)

RewriteNet: Realistic Scene Text Image Generation via Editing Text in Real-world Image. - Junyeop Lee; Yoonsik Kim; Seonghyeon Kim; Moonbin Yim; Seung Shin; Gayoung Lee; Sungrae Park (CoRR, 2021)

Multi-modal Text Recognition Networks: Interactive Enhancements Between Visual and Semantic Features. - Byeonghu Na; Yoonsik Kim; Sungrae Park (ECCV (28), 2022)

Ultra-Low-Power Wearable Vibration Sensor with Highly Accurate Embedded Classifier. - Inyeol Yun; Jinpyeo Jeung; Yoonsik Kim; Yonghun Song; Yoonyoung Chung (EMBC, 2022)

DEER: Detection-agnostic End-to-End Recognizer for Scene Text Spotting. - Seonghyeon Kim; Seung Shin; Yoonsik Kim; Hancheol Cho; Taeho Kil; Jaeheung Surh; Seunghyun Park 001; Bado Lee; Youngmin Baek (CoRR, 2022)

Towards Unified Scene Text Spotting Based on Sequence Generation. - Taeho Kil; Seonghyeon Kim; Sukmin Seo; Yoonsik Kim; Daehee Kim (CVPR, 2023)

Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models. - Geewook Kim; Hodong Lee; Daehee Kim 003; Haeji Jung; Sanghee Park; Yoonsik Kim; Sangdoo Yun; Taeho Kil; Bado Lee; Seunghyun Park 001 (EMNLP, 2023)

SCOB: Universal Text Understanding via Character-wise Supervised Contrastive Learning with Online Text Rendering for Bridging Domain Gap. - Daehee Kim 003; Yoonsik Kim; Donghyun Kim 012; Yumin Lim; Geewook Kim; Taeho Kil (ICCV, 2023)

On Web-based Visual Corpus Construction for Visual Document Understanding. - Donghyun Kim 012; Teakgyu Hong; Moonbin Yim; Yoonsik Kim; Geewook Kim (ICDAR (3), 2023)

Cream: Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models. - Geewook Kim; Hodong Lee; Daehee Kim 003; Haeji Jung; Sanghee Park; Yoonsik Kim; Sangdoo Yun; Taeho Kil; Bado Lee; Seunghyun Park 001 (CoRR, 2023)

On the Impact of Deployment Errors in Location-Based Key Predistribution Protocols for Wireless Sensor Networks. - Yoonsik Kim; Eunji Lim; Taekyoung Kwon 002 (IEEE Access, 2024)

TableVQA-Bench: A Visual Question Answering Benchmark on Multiple Table Domains. - Yoonsik Kim; Moonbin Yim; Ka Yeon Song (CoRR, 2024)

A Continuous Authentication Framework for Securing Metaverse Identities. - Sangsoo Han; Eunbi Hwang; Yoonsik Kim; Taekyoung Kwon 002 (IEEE Trans. Serv. Comput., 2025)

Continuous Authentication for Secure and Seamless User-Avatar Integration in Multidevice Metaverses. - Eunbi Hwang; Yoonsik Kim; Taekyoung Kwon 002 (IEEE Internet Things J., 2025)