論文

• Dinesh Daultani, Masayuki Tanaka, Masatoshi Okutomi, Kazuki Endo. Degraded Image Classification using Knowledge Distillation and Robust Data Augmentations, IEICE Transactions on Information and Systems, IEICE, Vol. E107-D, No. 12, pp. 1517-1528, Dec. 2024.  公式リンク  
  

国際会議発表 (査読有り)

• Dinesh Daultani, Masayuki Tanaka, Masatoshi Okutomi, Kazuki Endo. Diffusion-Based Adaptation for Classification of Unknown Degraded Images, New Trends in Image Restoration and Enhancement workshop and challenges (NTIRE2024) (CVPR2024 Workshop), New Trends in Image Restoration and Enhancement workshop and challenges (NTIRE2024) (CVPR2024 Workshop), June 2024.
• Dinesh Daultani, Masayuki Tanaka, Masatoshi Okutomi, Kazuki Endo. Diffusion-Based Adaptation for Classification of Unknown Degraded Images, Eighth International Workshop on Symbolic-Neural Learning (SNL2024), Eighth International Workshop on Symbolic-Neural Learning (SNL2024), June 2024.
• Dinesh Daultani, Masayuki Tanaka, Masatoshi Okutomi, Kazuki Endo. ILIAC: Efficient classification of degraded images using knowledge distillation with cutout data augmentation, IS&T Electronic Imaging (EI2022), Proceedings of IS&T Electronic Imaging (EI2023), Society for Imaging Science and Technology, Vol. 35, Issue 9, pp. 296-1 - 296-6, Jan. 2023.  公式リンク  
  

学位論文

• A Study on Robust Image Classification Networks against Known and Unknown Degradations,  Summary,  Tokyo Institute of Technology, 
• A Study on Robust Image Classification Networks against Known and Unknown Degradations,  Thesis,  Tokyo Institute of Technology, 
• A Study on Robust Image Classification Networks against Known and Unknown Degradations,  Outline,  Tokyo Institute of Technology, 

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