KIEE - The Transactions of the Korean Institute of Electrical Engineers

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C. Andri, M. H. Alkawaz, and A. B. Sallow, “Adoption of Mobile Augmented Reality as a Campus Tour Application,” International Journal of Engineering and Technology, vol. 7, no. 4.11, pp. 64-69, Oct. 2018. DOI: 10.14419/ijet.v7i4.11.20689

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T. L. Chou, and L. J. ChanLin, “Augmented Reality Smartphone Environment Orientation Application: A Case Study of the Fu-Jen University Mobile Campus Touring System,” Procedia - Social and Behavioral Sciences, vol. 46, pp. 410-416, 2012. DOI: 10.1016/j.sbspro.2012.05.132

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C. Maines, and S. Tang, “An Application of Game Technology to Virtual University Campus Tour and Interior Navigation,” International Conference on Developments of E-Systems Engineering, pp. 341-346, Dec. 2015. DOI: 10.1109/DeSE.2015.15

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C. Andri, M. H. Alkawaz, and S. R. Waheed, “Examining Effectiveness and User Experiences in 3D Mobile based Augmented Reality for MSU Virtual Tour,” 2019 IEEE International Conference on Automatic Control and Intelligent Systems, pp. 161-167, Jun. 2019. DOI: 10.1109/I2CACIS.2019.8825054

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H. Ketmaneechairat, P. Yoksiri, and T. Jaisiri, “Searching Application for Southern Thailand Travel Guide on iPhone,” The Fifth International Conference on the Applications of Digital Information and Web Technologies, pp. 195-200, Feb. 2014. DOI: 10.1109/ICADIWT.2014.6814684

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J. B. Kim, and C. Park, “Development of Mobile AR Tour Application for the National Palace Museum of Korea,” Virtual and Mixed Reality - New Trends, pp. 55-60, 2011. DOI: 10.1007/978-3-642-22021-0_7

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J. Chen, J. Guo, and Y. Wang, “Mobile Augmented Reality System for Personal Museum Tour Guide Applications,” IET International Communication Conference on Wireless Mobile and Computing, pp. 262-265, 2011. DOI: 10.1049/cp.2011.0887

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E. P. Noman, and S. Suyoto, “Design a Tourist Guide Mobile Application to Realize Sustainable Tourism in Kupang, Indonesia,” 2023 International Conference on Informatics Engineering, Science & Technology, pp. 1-10, Oct. 2023. DOI: 10.1109/INCITEST59455.2023.10397038

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H. S. Lee, Y. J. Oh, Y. C. Park, S. J. Lim, and H. C. Cho, “Goral Detection System using YOLOv4 Object Detection Algorithm,” The Transactions of the Korean Institute of Electrical Engineers, vol. 71, no. 9, pp. 1308-1314, Sep. 2022. DOI: 10.5370/KIEE.2022.71.9.1308

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T. H. Kim, and J. J. Park, “Semantic Segmentation of Teeth using Layered UNet,” The Transactions of the Korean Institute of Electrical Engineers, vol. 72, no. 11, pp. 1470-1476, Nov. 2023. DOI: 10.5370/KIEE.2023.72.11.1470

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R. Arandjelovic, P. Gronat, A. Torii, T. Pajdla, and J. Sivic, “NetVLAD: CNN Architecture for Weakly Supervised Place Recognition,” 2016 IEEE Conference on Computer Vision and Pattern Recognition, pp. 5297-5307, Jun. 2016. DOI: 10.1109/CVPR.2016.572

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S. Lowry, N. Sünderhauf, P. Newman, J. J. Leonard, D. Cox, P. Corke, and M. J. Milford, “Visual Place Recognition: A Survey,” IEEE Transactions on Robotics, vol. 32, no. 1, pp. 1-19, Feb. 2016. DOI: 10.1109/TRO.2015.2496823

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C. B. Lee, and H. C. Cho, “Application of Deep Learning-based Image Segmentation Algorithm for Korean Cattle Weight Estimation,” The Transactions of the Korean Institute of Electrical Engineers, vol. 70, no. 9, pp. 1336-1344, Sep. 2021. DOI: 10.5370/KIEE.2021.70.9.1336

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H. Won, S. Kim, E. B. Kim, and O. Lee, “Analysis of a Deep Learning Synchrotron Imaging Model for Segmentation and Classification of Stroke Animal Models,” The Transactions of the Korean Institute of Electrical Engineers, vol. 72, no. 7, pp. 863-871, Jul. 2023. DOI: 10.5370/KIEE.2023.72.7.863

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J. Sohl-Dickstein, E. Weiss, N. Maheswaranathan, and S. Ganguli, “Deep unsupervised learning using nonequilibrium thermodynamics,” Proceedings of the 33rd International Conference on Machine Learning, vol. 37, pp. 2256-2265, 2015. DOI: 10.48550/arXiv.1503.03585.

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J. Ho, A. Jain, and P. Abbeel, “Denoising diffusion probabilistic models,” Advances in neural information processing systems, vol. 33, pp. 6840-6851, 2020. DOI: 10.48550/arXiv.2006.11239

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R. Rombach, A. Blattmann, D. Lorenz, P. Esser, and B. Ommer, “High-Resolution Image Synthesis with Latent Diffusion Models,” 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 10674-10685, Jun. 2022. DOI: 10.1109/CVPR52688.2022.01042

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H. Oh, J. Jung, S. Park, and K. Y. Lee, “Development of a Tour Information System for Smart Phones using CNN,” Proceedings of the Korean Institute of Information Scientists and Engineers Conference, pp. 1642-1644, 2019.

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J. Y. Kim, S. K. Song, J. G. Heo, and W. J. Yoon, “Development of Augmented Reality (AR) Smartphone Application for Hwaseong Fortress Tourism,” Architectural Institute of Korea Conference, vol. 34, no. 8, pp. 87-94, Aug. 2018. DOI: 10.5659/JAIK_PD.2018.34.8.87

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V. Swaminathan, S. Arora, R. Bansal, and R. Rajalakshmi, “Autonomous Driving System with Road Sign Recognition using Convolutional Neural Networks,” 2019 International Conference on Computational Intelligence in Data Science, pp. 1-4, Feb. 2019. DOI: 10.1109/ICCIDS.2019.8862152

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M. M. Ullah, A. Pronobis, B. Caputo, J. Luo, P. Jensfelt, and H. I. Christensen, “Towards Robust Place Recognition for Robot Localization,” 2008 IEEE International Conference on Robotics and Automation, pp. 530-537, May 2008. DOI: 10.1109/ROBOT.2008.4543261

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D. Olid, J. M. Fácil, and J. Civera, “Single-view Place Recognition under Seasonal Changes,” arXiv preprint arXiv:1808.06516, 2018. DOI: 10.48550/arXiv.1808.06516

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H. Azizpour, A. S. Razavian, J. Sullivan, A. Maki, and S. Carlsson, “From Generic to Specific Deep Representations for Visual Recognition,” 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 36-45, Jun. 2015. DOI: 10.1109/CVPRW.2015.7301270

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S. Hausler, S. Garg, M. Xu, M. Milford, and T. Fischer, “Patch-NetVLAD: Multi-scale Fusion of Locally-global Descriptors for Place Recognition,” 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 14141-14152, Jun. 2021. DOI: 10.1109/CVPR46437.2021.01392

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F. Lu, L. Zhang, X. Lan, S. Dong, Y. Wang, and C. Yuan, “Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition,” arXiv preprint arXiv:2402.14505, 2024. DOI: 10.48550/arXiv.2402.14505

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T. Tzachor, A. Shoshan, A. Shashua, and S. Mazor, “EffoVPR: Effective Foundation Model Utilization for Visual Place Recognition,” arXiv preprint arXiv:2405.18065, 2024. DOI: 10.48550/arXiv.2405.18065

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A. Torii, R. Arandjelović, J. Sivic, M. Okutomi, and T. Pajdla, “24/7 Place Recognition by View Synthesis,” 2015 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1808-1817, Jun. 2015. DOI: 10.1109/CVPR.2015.7298790

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S. Parida, V. Srinivas, B. Jain, R. Naik, and N. Rao, “Survey on Diverse Image Inpainting using Diffusion Models,” 2023 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing, pp. 1-5, Apr. 2023. DOI: 10.1109/PCEMS58491.2023.10136091

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W. Long, W. Zhao, and Z. Li, “Diverse Image Colorization Based on Diffusion Model,” 2023 6th International Conference on Artificial Intelligence and Big Data, pp. 860-865, May 2023. DOI: 10.1109/ICAIBD57115.2023.10206235

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O. Ronneberger, P. Fischer, and T. Brox, “U-Net: Convolutional Networks for Biomedical Image Segmentation,” Medical Image Computing and Computer-Assisted Intervention, pp. 234-241, 2015. DOI: 10.1007/978-3-319-24574-4_28

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D. P. Kingma, and M. Welling, “Auto-Encoding Variational Bayes,” arXiv preprint arXiv:1312.6114, 2013. DOI: 10.48550/arXiv.1312.6114

32

T. Zhang, Z. Wang, J. Huang, M. M. Tasnim, and W. Shi, “A Survey of Diffusion Based Image Generation Models: Issues and Their Solutions,” arXiv preprint arXiv:2308.13142, 2023. DOI: 10.48550/arXiv.2308.13142

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T. Samajdar, J. Hellendoorn, M. B. Papamarkou, L. Buesing, and A. Romero, “Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets,” arXiv preprint arXiv:2311.15127, 2023. DOI: 10.48550/arXiv.2311.15127

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C. Saharia, W. Chan, H. Chang, C. Lee, J. Ho, T. Salimans, D. Fleet, and M. Norouzi, “Palette: Image-to-image Diffusion Models,” Special Interest Group on Computer Graphics and Interactive Techniques Conference Proceedings, pp. 1-10, Aug. 2022. DOI: 10.1145/3528233.3530757

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K. He, X. Zhang, S. Ren, and J. Sun, “Deep Residual Learning for Image Recognition,” 2016 IEEE Conference on Computer Vision and Pattern Recognition, pp. 770-778, Jun. 2016. DOI: 10.1109/CVPR.2016.90

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R. Fluss, D. Faraggi, and B. Reiser, “Estimation of the Youden Index and its Associated Cutoff Point,” Biometrical Journal, vol. 47, no. 4, pp. 458-472, Aug. 2005. DOI: 10.1002/bimj.200410135

KIEEThe Transactions of
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The Transactions of the Korean Institute of Electrical Engineers

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KIEEThe Transactions ofthe Korean Institute of Electrical Engineers