1月6日に、本研究室メンバーで2025年新年会と研究室新入生歓迎会を行いました。

ICCSI 2024

尾野さん(M2), 林さん(M2), 吉津さん(M1) はカタール, ドーハで開かれた国際学会
2024 international Conference on Cyber-phisical Social Intelligence(ICCSI 2024)にて発表を行いました。

Yuga Ono, Ryuto Ishibashi and Lin Meng, “GPNN:Grouped Point-NN for more efficient point cloud classification”

Shunsuke Hayashi, Ryuto Ishibashi, Lin Meng and Mingcong Deng, “IoT-based Leftover FoodSegmentation System for Healthcare”

Yuya Yoshizu, Hayata Kaneko, Ryuto Ishibashi, Lin Meng and Mingcong Deng, “Two-Stage Stains Reduction with Diffusion Models for Ancient Japanese Manuscripts”

立命館大学はりたけ椋本研究奨励賞獲得

石橋龍人さん(M2)が、立命館大学はりたけ椋本研究奨励賞を獲得しました。
この賞は、2年連続で当研究室の学生が受賞しました。おめでとうございます!!
大学のニュース報道

IAI 2024

石橋さん(M2), 松井さん(M2), 金子さん(D1), Geさん(D2) は、中国遼寧省瀋陽市で開かれた国際学会
The 6th International Conference on Industrial Artificial Intelligence (IAI 2024) にて発表を行いました。

Ryuto Ishibashi, Haruhiro Takahashi, and Lin Meng, “ViT-Based Hybrid Segmentation for Leftover Food Detection”

Atsuki Matsui, Ryuto Ishibashi, and Lin Meng, “YOLO-FG: YOLO-Based Visual Inspection for Fruits Grading”

Hayata Kaneko and Lin Meng, “Analysis Towards Deployment and Acceleration for ViT on a Lightweight RISC-V Processor”

Yifei Ge and Lin Meng, “A Powerful Object Detection Network for Industrial Anomaly Detection”

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”

T2-3. Atanasios Polydoros先生 Renata Ntelia先生研究室訪問＆講演

2024-08-05 Lecture 2024 MengLab

立命館大学びわこ・くさつキャンパスローム記念館 5階第1会議室
参加無料・事前申込み不要・対面のみ
8/5(火) 15:00～17:00

イギリスの大学の二人の先生が研究室訪問と講演を行いました。
以下は講演の詳細です。

Dr. Atanasios Polydoros

Short Bio

Dr. Athanasios Polydoros is a Senior Lecturer (Assistant Professor) at the School of Computer Science, University of Lincoln, member of the Lincoln Centre of Autonomous Systems and supervisor within the Centre of Doctoral Training in Agri-Food Robotics . Before that he was a postdoctoral researcher at the Swiss Federal Institute of Technology (EPFL) and the University of Innsbruck. He holds a M.Sc. in Artificial Intelligence from the University of Edinburgh and A Dip. Eng. In Production Engineering from Democritus University of Thrace. His research interests include robot learning from demonstration, machine learning and robot control. He has multiple publications in high-impact conferences and journals in the field and has participated in EU and nationally funded projects.

T1. 立命館大学 VLSIセンター(協賛) Vassilis Cutsuridis 准教授講演会

Title : Neuromorphic associative memories

Abstract

Mathematical artificial neural network models known as associative memories first developed over 60 years ago worked by storing patterns of information via changes in the strengths of connections between simple computing units that mimicked the operation of neurons in the brain in a very simple way. Old memories were recalled when a noisy or partial version of a previously stored patterns was presented to the network. However, these devices were not very flexible. They had to be told when to store a pattern and when they were supposed to recall a memory. The types of information they could store were quite limited.