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Showing results 1 to 11 of 11

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
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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
  • Download : 0
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
  • Download : 0
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
  • Download : 0
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
  • Download : 0
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
  • Download : 0
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
  • Download : 0
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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