Yoonsik Kim

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 34

Top Topics

Compression Artifacts

Text Recognition

Convolutional Neural Network

Top Venues

Publications

Yoonsik Kim, Eunji Lim, Taekyoung Kwon
On the Impact of Deployment Errors in Location-Based Key Predistribution Protocols for Wireless Sensor Networks. IEEE Access 12 (2024)
Yoonsik Kim, Moonbin Yim, Ka Yeon Song
TableVQA-Bench: A Visual Question Answering Benchmark on Multiple Table Domains. CoRR (2024)
Geewook Kim, Hodong Lee, Daehee Kim, Haeji Jung, Sanghee Park, Yoonsik Kim, Sangdoo Yun, Taeho Kil, Bado Lee, Seunghyun Park
Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models. EMNLP (2023)
Geewook Kim, Hodong Lee, Daehee Kim, Haeji Jung, Sanghee Park, Yoonsik Kim, Sangdoo Yun, Taeho Kil, Bado Lee, Seunghyun Park
Cream: Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models. CoRR (2023)
Daehee Kim, Yoonsik Kim, Donghyun Kim, Yumin Lim, Geewook Kim, Taeho Kil
SCOB: Universal Text Understanding via Character-wise Supervised Contrastive Learning with Online Text Rendering for Bridging Domain Gap. ICCV (2023)
Daehee Kim, Yoonsik Kim, Donghyun Kim, Yumin Lim, Geewook Kim, Taeho Kil
SCOB: Universal Text Understanding via Character-wise Supervised Contrastive Learning with Online Text Rendering for Bridging Domain Gap. CoRR (2023)
Donghyun Kim, Teakgyu Hong, Moonbin Yim, Yoonsik Kim, Geewook Kim
On Web-based Visual Corpus Construction for Visual Document Understanding. ICDAR (3) (2023)
Taeho Kil, Seonghyeon Kim, Sukmin Seo, Yoonsik Kim, Daehee Kim
Towards Unified Scene Text Spotting based on Sequence Generation. CoRR (2023)
Taeho Kil, Seonghyeon Kim, Sukmin Seo, Yoonsik Kim, Daehee Kim
Towards Unified Scene Text Spotting Based on Sequence Generation. CVPR (2023)
Byeonghu Na, Yoonsik Kim, Sungrae Park
Multi-modal Text Recognition Networks: Interactive Enhancements Between Visual and Semantic Features. ECCV (28) (2022)
Donghyun Kim, Teakgyu Hong, Moonbin Yim, Yoonsik Kim, Geewook Kim
Technical Report on Web-based Visual Corpus Construction for Visual Document Understanding. CoRR (2022)
Inyeol Yun, Jinpyeo Jeung, Yoonsik Kim, Yonghun Song, Yoonyoung Chung
Ultra-Low-Power Wearable Vibration Sensor with Highly Accurate Embedded Classifier. EMBC (2022)
Seonghyeon Kim, Seung Shin, Yoonsik Kim, Hancheol Cho, Taeho Kil, Jaeheung Surh, Seunghyun Park, Bado Lee, Youngmin Baek
DEER: Detection-agnostic End-to-End Recognizer for Scene Text Spotting. CoRR (2022)
Moonbin Yim, Yoonsik Kim, Hancheol Cho, Sungrae Park
SynthTIGER: Synthetic Text Image GEneratoR Towards Better Text Recognition Models. CoRR (2021)
Byeonghu Na, Yoonsik Kim, Sungrae Park
Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features. CoRR (2021)
Moonbin Yim, Yoonsik Kim, Hancheol Cho, Sungrae Park
SynthTIGER: Synthetic Text Image GEneratoR Towards Better Text Recognition Models. ICDAR (4) (2021)
Junyeop Lee, Yoonsik Kim, Seonghyeon Kim, Moonbin Yim, Seung Shin, Gayoung Lee, Sungrae Park
RewriteNet: Realistic Scene Text Image Generation via Editing Text in Real-world Image. CoRR (2021)
Sang Yoon Han, Hyuk Jin Kwon, Yoonsik Kim, Nam Ik Cho
Noise-Robust Pupil Center Detection Through CNN-Based Segmentation With Shape-Prior Loss. IEEE Access 8 (2020)
Jaewoo Park, Eunji Lee, Yoonsik Kim, Isaac Kang, Hyung Il Koo, Nam Ik Cho
Multi-Lingual Optical Character Recognition System Using the Reinforcement Learning of Character Segmenter. IEEE Access 8 (2020)
Yoonsik Kim, Jae Woong Soh, Gu Yong Park, Nam Ik Cho
Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization. CoRR (2020)
Yeong Il Jang, Yoonsik Kim, Nam Ik Cho
Dual Path Denoising Network for Real Photographic Noise. IEEE Signal Process. Lett. 27 (2020)
Jaewoo Park, Isaac Kang, Junhyeong Kwon, Eunji Lee, Yoonsik Kim, Sujeong You, Sang Hoon Ji, Nam Ik Cho
Recognition of Assembly Instructions Based on Geometric Feature and Text Recognition. UR (2020)
Yoonsik Kim, Jae Woong Soh, Nam Ik Cho
AGARNet: Adaptively Gated JPEG Compression Artifacts Removal Network for a Wide Range Quality Factor. IEEE Access 8 (2020)
Yoonsik Kim, Jae Woong Soh, Jaewoo Park, Byeongyong Ahn, Hyun-Seung Lee, Young-Su Moon, Nam Ik Cho
A Pseudo-Blind Convolutional Neural Network for the Reduction of Compression Artifacts. IEEE Trans. Circuits Syst. Video Technol. 30 (4) (2020)
Yoonsik Kim, Jae Woong Soh, Gu Yong Park, Nam Ik Cho
Transfer Learning From Synthetic to Real-Noise Denoising With Adaptive Instance Normalization. CVPR (2020)
Yoonsik Kim, Jae Woong Soh, Nam Ik Cho
Adaptively Tuning a Convolutional Neural Network by Gate Process for Image Denoising. IEEE Access 7 (2019)
Yoonsik Kim, Jae Woong Soh, Nam Ik Cho
Adaptively Tuning a Convolutional Neural Network by Gating Process for Image Denoising. ICIP (2019)
Sang Yoon Han, Yoonsik Kim, Sang Hwa Lee, Nam Ik Cho
Pupil Center Detection Based on the UNet for the User Interaction in VR and AR Environments. VR (2019)
Haesoo Chung, Yoonsik Kim, Junho Jo, Sang-Hoon Lee, Nam Ik Cho
Kernel Prediction Network for Detail-Preserving High Dynamic Range Imaging. APSIPA (2019)
Jae Woong Soh, Jaewoo Park, Yoonsik Kim, Byeongyong Ahn, Hyun-Seung Lee, Young-Su Moon, Nam Ik Cho
Reduction of Video Compression Artifacts Based on Deep Temporal Networks. IEEE Access 6 (2018)
Byeongyong Ahn, Yoonsik Kim, Gu Yong Park, Nam Ik Cho
Block-Matching Convolutional Neural Network (BMCNN): Improving CNN-Based Denoising by Block-Matched Inputs. APSIPA (2018)
Yoonsik Kim, Insung Hwang, Nam Ik Cho
A New Convolutional Network-in-Network Structure and Its Applications in Skin Detection, Semantic Segmentation, and Artifact Reduction. CoRR (2017)
Yoonsik Kim, Insung Hwang, Nam Ik Cho
Convolutional neural networks and training strategies for skin detection. ICIP (2017)
Insung Hwang, Yoonsik Kim, Nam Ik Cho
Skin detection based on multi-seed propagation in a multi-layer graph for regional and color consistency. ICASSP (2017)