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Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP, MSS 2024-03-13
16:05		 Misc. Kikai-Shinko-Kaikan Bldg. Effectiveness and Validation of Feature Scaling in Image Classification Tasks Using CNN
Hiroki Tamegai, Kenya Jinno (TCU) MSS2023-81 NLP2023-133		 In image classification tasks, features are extracted using neural networks and learning is performed by calculating the... [more] MSS2023-81 NLP2023-133
pp.54-57
NLP, MSS 2024-03-14
10:50		 Misc. Kikai-Shinko-Kaikan Bldg. Fake Image Detection Focused on Local Regions
Takumi Owada, Kenya Jinno (Tokyo City Univ.) MSS2023-88 NLP2023-140		 We Propose a novel method for detection of images generated by Diffusion Models. We also investigate the attention of ou... [more] MSS2023-88 NLP2023-140
pp.83-86
CCS 2022-11-18
10:55		 Mie
(Primary: On-site, Secondary: Online)		 Simulation of herd generation using Boids
Yusuke Nakazato, Kenya Jinno (Tokyo City Univ.) CCS2022-56		  [more] CCS2022-56
pp.67-70
IN, CCS
(Joint)		 2022-08-04
10:20		 Hokkaido Hokkaido University(Centennial Hall)
(Primary: On-site, Secondary: Online)		 Consideration of the structure of CNN models with high image classification performanc
Mizuki Dai, Kenya Jinno (Tokyo City University) CCS2022-27		 In recent years, Transformer-based models such as ViT have shown remarkable performance in image recognition using Deep ... [more] CCS2022-27
pp.6-9
IN, CCS
(Joint)		 2022-08-04
11:10		 Hokkaido Hokkaido University(Centennial Hall)
(Primary: On-site, Secondary: Online)		 A Study on the Role of Latent Variables in Auto Encoder and U-Net
Saki Okamoto, Kenya Jinno (Tokyo City Univ.) CCS2022-29		 Using U-Net, which introduces Contracting Paths (Concat) into Auto Encoder (AE), we trained the system to output a front... [more] CCS2022-29
pp.16-19
 Results 1 - 5 of 5  /   
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