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전체 가 나 다 라 마 바 사 아 자 차 카 타 파 하

Showing results 1 to 15 of 15

Thesis
A study of quadratic discriminant analysis-based motor imagery classification using functional near- infrared spectroscopy
  • Seungjun Lee
  • 2024
  • Seungjun Lee. (2024). A study of quadratic discriminant analysis-based motor imagery classification using functional near- infrared spectroscopy. doi: 10.22677/THESIS.200000731466
  • DGIST
  • View : 62
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Thesis
A Study on the Generality of a DNN-Based Monocular Depth Estimation
  • Jinwoo Bae
  • 2023
  • Jinwoo Bae. (2023). A Study on the Generality of a DNN-Based Monocular Depth Estimation. doi: 10.22677/THESIS.200000653335
  • DGIST
  • View : 101
  • Download : 0
Thesis
Burst Image Denoising and Demosaicing using Generative Models based on Unsupervised Learning
  • SeonHwa Kim
  • 2023
  • SeonHwa Kim. (2023). Burst Image Denoising and Demosaicing using Generative Models based on Unsupervised Learning. doi: 10.22677/THESIS.200000658438
  • DGIST
  • View : 354
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Thesis
Burst super resolution of multi-scale using optical flow
  • Eung Gu Kang
  • 2024
  • Eung Gu Kang. (2024). Burst super resolution of multi-scale using optical flow. doi: 10.22677/THESIS.200000798746
  • DGIST
  • View : 242
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Thesis
Condition and Modality-guided Medical Image Generation using Deep Learning-based Generative Models
  • Euijin Jung
  • 2023
  • Euijin Jung. (2023). Condition and Modality-guided Medical Image Generation using Deep Learning-based Generative Models. doi: 10.22677/THESIS.200000686643
  • DGIST
  • View : 113
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Thesis
Deep Neural Network for Golay-coded excitation Ultrasound Imaging without frame rate reduction
  • Sun Tae Hwang
  • 2022
  • Sun Tae Hwang. (2022). Deep Neural Network for Golay-coded excitation Ultrasound Imaging without frame rate reduction. doi: 10.22677/thesis.200000628638
  • DGIST
  • View : 337
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Thesis
Development of bench-top photon-counting CT system and its application to calibration-based material decomposition
  • Joonbeom Kim
  • 2023
  • Joonbeom Kim. (2023). Development of bench-top photon-counting CT system and its application to calibration-based material decomposition. doi: 10.22677/THESIS.200000657362
  • DGIST
  • View : 139
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Thesis
Enhanced Image Stitching using Recurrent Elastic Warps and High-Definition Neural Imaging
  • Minsu Kim
  • 2023
  • Minsu Kim. (2023). Enhanced Image Stitching using Recurrent Elastic Warps and High-Definition Neural Imaging. doi: 10.22677/THESIS.200000684911
  • DGIST
  • View : 156
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Thesis
High Quality 3D Reconstruction from Multiple Images
  • Kyumin Hwang
  • 2022
  • Kyumin Hwang. (2022). High Quality 3D Reconstruction from Multiple Images. doi: 10.22677/thesis.200000593272
  • DGIST
  • View : 217
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Thesis
Label-Efficient Segmentation Models Using Limited And Distributed Pixel-Level Annotation
  • Soopil Kim
  • 2024
  • Soopil Kim. (2024). Label-Efficient Segmentation Models Using Limited And Distributed Pixel-Level Annotation. doi: 10.22677/THESIS.200000799013
  • DGIST
  • View : 100
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Thesis
Remote Sensing Image Super-Resolution based on Siamese Networks with Cross Scale Non-Local Similarity for Segmentation of Buildings
  • Jaegeun Park
  • 2023
  • Jaegeun Park. (2023). Remote Sensing Image Super-Resolution based on Siamese Networks with Cross Scale Non-Local Similarity for Segmentation of Buildings. doi: 10.22677/THESIS.200000655870
  • DGIST
  • View : 143
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Thesis
Transformer-based Explainable Artificial Intelligence (XAI) for the Classification of Brain fNIRS Signals
  • Jim Knebel
  • 2023
  • Jim Knebel. (2023). Transformer-based Explainable Artificial Intelligence (XAI) for the Classification of Brain fNIRS Signals. doi: 10.22677/THESIS.200000658414
  • DGIST
  • View : 328
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Thesis
Unsupervised Domain Adaptation for Visual Perception in Various Environments
  • Changjae Kim
  • 2023
  • Changjae Kim. (2023). Unsupervised Domain Adaptation for Visual Perception in Various Environments. doi: 10.22677/THESIS.200000653655
  • DGIST
  • View : 116
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Thesis
Video Instance Segmentation using Knowledge Distillation
  • Hojin Kim
  • 2023
  • Hojin Kim. (2023). Video Instance Segmentation using Knowledge Distillation. doi: 10.22677/THESIS.200000653859
  • DGIST
  • View : 121
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Conference
향상된 연속 코사인 계수 추출을 통한 국소적 함축 신경망 표현 방식의 앤드-투-앤드 JPEG 복호기
  • 한우경 ; 
  • 임성훈 ; 
  • 김재덕 ; 
  • 진경환
  • 2023-11-24
  • 한우경. (2023-11-24). 향상된 연속 코사인 계수 추출을 통한 국소적 함축 신경망 표현 방식의 앤드-투-앤드 JPEG 복호기. 대한전자공학회 2023년도 추계학술대회, 352–355.
  • 대한전자공학회
  • View : 51
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