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ORCIDYoonsik Kim
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2020 – today
- 2024
[j8]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: 35765-35778 (2024)- [i11]Yoonsik Kim, Moonbin Yim, Ka Yeon Song:
TableVQA-Bench: A Visual Question Answering Benchmark on Multiple Table Domains. CoRR abs/2404.19205 (2024) - 2023
- [c15]Taeho Kil, Seonghyeon Kim, Sukmin Seo, Yoonsik Kim, Daehee Kim:
Towards Unified Scene Text Spotting Based on Sequence Generation. CVPR 2023: 15223-15232 - [c14]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: 11989-12010 - [c13]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: 19505-19516 - [c12]Donghyun Kim, Teakgyu Hong, Moonbin Yim, Yoonsik Kim, Geewook Kim:
On Web-based Visual Corpus Construction for Visual Document Understanding. ICDAR (3) 2023: 297-313 - [i10]Taeho Kil, Seonghyeon Kim, Sukmin Seo, Yoonsik Kim, Daehee Kim:
Towards Unified Scene Text Spotting based on Sequence Generation. CoRR abs/2304.03435 (2023) - [i9]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 abs/2305.15080 (2023) - [i8]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 abs/2309.12382 (2023) - 2022
- [c11]Byeonghu Na, Yoonsik Kim, Sungrae Park:
Multi-modal Text Recognition Networks: Interactive Enhancements Between Visual and Semantic Features. ECCV (28) 2022: 446-463 - [c10]Inyeol Yun, Jinpyeo Jeung, Yoonsik Kim, Yonghun Song, Yoonyoung Chung:
Ultra-Low-Power Wearable Vibration Sensor with Highly Accurate Embedded Classifier. EMBC 2022: 2451-2454 - [i7]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 abs/2203.05122 (2022) - [i6]Donghyun Kim, Teakgyu Hong, Moonbin Yim, Yoonsik Kim, Geewook Kim:
On Web-based Visual Corpus Construction for Visual Document Understanding. CoRR abs/2211.03256 (2022) - 2021
- [c9]Moonbin Yim, Yoonsik Kim, Hancheol Cho, Sungrae Park:
SynthTIGER: Synthetic Text Image GEneratoR Towards Better Text Recognition Models. ICDAR (4) 2021: 109-124 - [i5]Moonbin Yim, Yoonsik Kim, Hancheol Cho, Sungrae Park:
SynthTIGER: Synthetic Text Image GEneratoR Towards Better Text Recognition Models. CoRR abs/2107.09313 (2021) - [i4]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 abs/2107.11041 (2021) - [i3]Byeonghu Na, Yoonsik Kim, Sungrae Park:
Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features. CoRR abs/2111.15263 (2021) - 2020
- [j7]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: 20160-20170 (2020) - [j6]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: 64739-64749 (2020) - [j5]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: 174437-174448 (2020) - [j4]Yeong Il Jang, Yoonsik Kim, Nam Ik Cho:
Dual Path Denoising Network for Real Photographic Noise. IEEE Signal Process. Lett. 27: 860-864 (2020) - [j3]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): 1121-1135 (2020) - [c8]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: 3479-3489 - [c7]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: 139-143 - [i2]Yoonsik Kim, Jae Woong Soh, Gu Yong Park, Nam Ik Cho:
Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization. CoRR abs/2002.11244 (2020)
2010 – 2019
- 2019
- [j2]Yoonsik Kim, Jae Woong Soh, Nam Ik Cho:
Adaptively Tuning a Convolutional Neural Network by Gate Process for Image Denoising. IEEE Access 7: 63447-63456 (2019) - [c6]Haesoo Chung, Yoonsik Kim, Junho Jo, Sang-Hoon Lee, Nam Ik Cho:
Kernel Prediction Network for Detail-Preserving High Dynamic Range Imaging. APSIPA 2019: 1589-1594 - [c5]Yoonsik Kim, Jae Woong Soh, Nam Ik Cho:
Adaptively Tuning a Convolutional Neural Network by Gating Process for Image Denoising. ICIP 2019: 1800-1804 - [c4]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: 958-959 - 2018
- [j1]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: 63094-63106 (2018) - [c3]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: 516-525 - 2017
- [c2]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: 1273-1277 - [c1]Yoonsik Kim, Insung Hwang, Nam Ik Cho:
Convolutional neural networks and training strategies for skin detection. ICIP 2017: 3919-3923 - [i1]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 abs/1701.06190 (2017)
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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