Malicious content filtering based on semantic features. - Semin Kim; Hyun-seok Min; Jaehyun Jeon; Yong Man Ro; Seungwan Han (ICIS, 2009)

A Statistical and Iterative Method for Data Hiding in Palette-Based Images. - Semin Kim; Wesley De Neve; Yong Man Ro (IWDW, 2009)

Semantic Detection of Adult Image Using Semantic Features. - Jaehyun Jeon; Semin Kim; Jae Young Choi; Hyun Suk Min; Yong Man Ro (MUE, 2010)

Training Strategy of Semantic Concept Detectors Using Support Vector Machine in Naked Image Classification. - Jaehyun Jeon; Jae Young Choi; Semin Kim; Hyun-seok Min; Seungwan Han; Yong Man Ro (PCM (1), 2010)

Video Copy Detection Using Inclined Video Tomography and Bag-of-Visual-Words. - Hyun-seok Min; Semin Kim; Wesley De Neve; Yong Man Ro (ICME, 2012)

Rotation and flipping robust region binary patterns for video copy detection. - Semin Kim; Seung-Ho Lee; Yong Man Ro (J. Vis. Commun. Image Represent., 2014)

Adaptive weighted fusion with new spatial and temporal fingerprints for improved video copy detection. - Semin Kim; Jae Young Choi; Seungwan Han; Yong Man Ro (Signal Process. Image Commun., 2014)

Image-based coin recognition using rotation-invariant region binary patterns based on gradient magnitudes. - Semin Kim; Seung-Ho Lee; Yong Man Ro (J. Vis. Commun. Image Represent., 2015)

On the self-(in)stability of weighted majority rules. - Yaron Azrieli; Semin Kim (Games Econ. Behav., 2016)

Ordinal versus cardinal voting rules: A mechanism design approach. - Semin Kim (Games Econ. Behav., 2017)

Semi-automatic Labeling and Training Strategy for Deep Learning-based Facial Wrinkle Detection. - Semin Kim; Huisu Yoon; Jongha Lee; Sangwook Yoo (CBMS, 2022)

Facial Pore Segmentation Algorithm using Shallow CNN. - Sunyong Seo; Sangwook Yoo; Semin Kim; Daeun Yoon; Jongha Lee (CBMS, 2022)

Progressive Weighted Self-Training Ensemble for Multi-Type Skin Lesion Semantic Segmentation. - Cheolwon Lee; Sangwook Yoo; Semin Kim; Jongha Lee (IEEE Access, 2022)

Facial Acne Segmentation based on Deep Learning with Center Point Loss. - Semin Kim; Chanhyuk Lee; Geunho Jung; Huisu Yoon; Jongha Lee; Sangwook Yoo (CBMS, 2023)

Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers. - Jaehoon Yoo; Semin Kim; Doyup Lee; Chiheon Kim; Seunghoon Hong (CVPR, 2023)

Unanimity and local incentive compatibility in sparsely connected domains. - Miho Hong; Semin Kim (Soc. Choice Welf., 2023)

Facial wrinkle segmentation using weighted deep supervision and semi-automatic labeling. - Semin Kim; Huisu Yoon; Jongha Lee; Sangwook Yoo (Artif. Intell. Medicine, 2023)

Stable constitutions. - Daeyoung Jeong; Semin Kim (Games Econ. Behav., 2023)

Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild. - Donggyun Kim; Seongwoong Cho; Semin Kim; Chong Luo; Seunghoon Hong (ECCV (23), 2024)

MakeSinger: A Semi-Supervised Training Method for Data-Efficient Singing Voice Synthesis via Classifier-free Diffusion Guidance. - Semin Kim; Myeonghun Jeong; Hyeonseung Lee; Minchan Kim; Byoung Jin Choi; Nam Soo Kim (INTERSPEECH, 2024)

Simulation-Free Training of Neural ODEs on Paired Data. - Semin Kim; Jaehoon Yoo; Jinwoo Kim; Yeonwoo Cha; Saehoon Kim; Seunghoon Hong (NeurIPS, 2024)

Spectrum-based deep learning framework for dermatological pigment analysis and simulation. - Geunho Jung; Jongha Lee; Semin Kim (Comput. Biol. Medicine, 2024)

Utilizing Neural Transducers for Two-Stage Text-to-Speech via Semantic Token Prediction. - Minchan Kim; Myeonghun Jeong; Byoung Jin Choi; Semin Kim; Joun Yeop Lee; Nam Soo Kim (CoRR, 2024)

Evidential-TTS: High Fidelity Zero-Shot Text-to-Speech Using Evidential Deep Learning. - Myeonghun Jeong; Minchan Kim; Semin Kim; Nam Soo Kim (ICASSP, 2025)

FADEL: Uncertainty-aware Fake Audio Detection with Evidential Deep Learning. - Ju Yeon Kang; Ji Won Yoon; Semin Kim; Min Hyun Han; Nam Soo Kim (ICASSP, 2025)

Full-scale Representation Guided Network for Retinal Vessel Segmentation. - Sunyong Seo; Huisu Yoon; Semin Kim; Jongha Lee (CoRR, 2025)

RA-Touch: Retrieval-Augmented Touch Understanding with Enriched Visual Data. - Yoorhim Cho; Hongyeob Kim; Semin Kim; Youjia Zhang; Yunseok Choi; Sungeun Hong (CoRR, 2025)

Data Augmentation For Small Object using Fast AutoAugment. - DaeEun Yoon; Semin Kim; SangWook Yoo; Jongha Lee (CoRR, 2025)

Reward-Agnostic Prompt Optimization for Text-to-Image Diffusion Models. - Semin Kim; Yeonwoo Cha; Jaehoon Yoo; Seunghoon Hong (CoRR, 2025)

Learning an Ensemble Token from Task-driven Priors in Facial Analysis. - Sunyong Seo; Semin Kim; Jongha Lee (CoRR, 2025)