Facial Expression Recognition with Face Mask using Attention Mechanism. - Shunsuke Hayashi; Yuga Ono; Ryuto Ishibashi; Qi Li; Lin Meng (ATAIT, 2023)

Optimized Vision Transformer for Dementia Diagnosis Using Micro-Doppler Radar. - Ryuto Ishibashi; Naoto Nojiri; Hayata Kaneko; Kenshi Saho; Lin Meng (SMC, 2023)

Norm-Regularized Token Compression in Vision Transformer Networks. - Masayuki Ishikawa; Ryuto Ishibashi; Lin Meng (ATAIT, 2024)

Leftover Food Measurement Using Deep Learning Based Semantic Segmentation. - Haruhiro Takahashi; Ryuto Ishibashi; Hayata Kaneko; Lin Meng (ATAIT, 2024)

Attention Distillation for Accuracy Improvement of Vision Transformer. - Taiga Tanaka; Ryuto Ishibashi; Lin Meng (IIKI, 2024)

Visual Anomaly Detection with Self-Attention and Separate Memory Bank. - Kosaburo Hattori; Hayata Kaneko; Ryuto Ishibashi; Tomonori Izumi; Lin Meng (SMC, 2024)

SEAD: Segment Element-Based Anomaly Detection. - Kosaburo Hattori; Ryuto Ishibashi; Hayata Kaneko; Tomonori Izumi; Lin Meng (IEEE Access, 2024)

An unsupervised automatic organization method for Professor Shirakawa's hand-notated documents of oracle bone inscriptions. - Xuebin Yue; Ziming Wang; Ryuto Ishibashi; Hayata Kaneko; Lin Meng (Int. J. Document Anal. Recognit., 2024)

Optimizing Loss Functions for You Only Look Once Models: Improving Object Detection in Agricultural Datasets. - Atsuki Matsui; Ryuto Ishibashi; Lin Meng (Comput., 2025)

Automatic pruning rate adjustment for dynamic token reduction in vision transformer. - Ryuto Ishibashi; Lin Meng (Appl. Intell., 2025)