ATAIT 2024

石川さん(B4), 高橋さん(B4), WANGさん(M1), ZHANGさん(M1), XUさん(M2) は立命館大学のびわこ・くさつキャンパスで開かれた国際会議
The 6th International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2024)で発表を行いました。
その内、高橋さんがBest Student Paperを獲得しました。おめでとうございます!!

• Masayuki Ishikawa, Ryuto Ishibashi and Lin Meng, “Norm-Regularized Token Compression in Vision Transformer Networks”
• Haruhiro Takahashi, Ryuto Ishibashi, Hayata Kaneko and Lin Meng, “Leftover Food Measurement Using Deep Learning Based Semantic Segmentation”
• Zhongyu Wang, Qi Li, Yifei Ge and Lin Meng, “A Review on FPGA-Based Optimization and Applications of Deep Learning Convolutional Neural Networks”
• Runqian Zhang, Yifei Ge, Qi Li and Lin Meng, “An Improved YOLOv8 Tomato Leaf Disease Detector Based on Efficient-Net backbone”
• Yifan Xu, Mengtao Wang, Zhongkui Wang and Lin Meng “Simulation of 4D Printed Hydrogel Using RNN”

ATAIT2023

林さん(M1), Wangさん(M1), Liさん(M1)は、本学で開かれた国際学会ATAIT2023にて発表を行いました。 その内、林さんがBest Paperを獲得しました。おめでとうございます!!

1. Hayashi Shunsuke, Ono Yuga, Ishibashi Ryuto, Lin Meng and Li Qi, “Facial Expression Recognition with Face Mask using Attention Mechanism”
2. Xiangheng Wang, Hengyi Li, Xuebin Yue and Lin Meng, “A comprehensive survey on object detection YOLO”
3. Mingyuan Li, Lin Meng, and Xuebin Yue, “Yolo V4 for Kuzushiji Recognition With Synthetic Training Data Generated by GAN”

ATAIT2021

M1の 森岡さん、Wangさん、Wenさん、Gongさんは、国際会議ATAIT2021にて、オンラインで論文発表を行いました。

1. Tomoki Morioka, Aravinda C V and Lin Meng, “An AI-based Android Application for Ancient Documents Text Recognition,” ATAIT2021, Shiga, Japan

2. Jianhao Gong, Hengyi Li, Qi Li and Lin Meng, “A Deep Analysis of Group Convolution Schemes for Improving Deep Learning Performance,” ATAIT2021, Shiga, Japan

3. Minxuan Wen, Kentaro Yokoo, Xuebin Yue and Lin Meng, “An AI-based Mask-Wearing Status Recognition and Person Identification System,” ATAIT2021, Shiga, Japan

4. Ziming Wang, Xuebin Yue, and Lin Meng, " A Effective Approach for Noise Reduction from Shirakawa’s Hand-Notated Documents on OBIs Research," ATAIT2021, Shiga, Japan

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