Ryuto Ishibashi

According to our database, Ryuto Ishibashi authored at least 15 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

SIMD-CP: SIMD with Redundant Bits Compression and Mixed-Precision Packing for Quantized DNNs.

Hayata Kaneko, Ryuto Ishibashi, Lin Meng

ACM Trans. Embed. Comput. Syst., January, 2026

Rethinking attention reliability for token pruning in vision transformers.

Ryuto Ishibashi, Hayata Kaneko, Lin Meng

Neurocomputing, 2026

2025

Automatic pruning rate adjustment for dynamic token reduction in vision transformer.

Ryuto Ishibashi, Lin Meng

Appl. Intell., April, 2025

Optimizing Loss Functions for You Only Look Once Models: Improving Object Detection in Agricultural Datasets.

Atsuki Matsui, Ryuto Ishibashi, Lin Meng

Comput., 2025

Multi-Scale Token Pruning in Mask2Former for Semantic Segmentation.

Ryuto Ishibashi, Lin Meng, Mingcong Deng

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

SEAD+: Segment Element based Anomaly Detection plus effective memory bank.

Kosaburo Hattori, Ryuto Ishibashi, Hayata Kaneko, Lin Meng

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2025

Token Pruning within the Attention Mechanism for Efficient Vision Transformers.

Shuto Kusaki, Ryuto Ishibashi, Lin Meng

Proceedings of the 7th International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2025), 2025

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., December, 2024

SEAD: Segment Element-Based Anomaly Detection.

Kosaburo Hattori, Ryuto Ishibashi, Hayata Kaneko, Tomonori Izumi, Lin Meng

IEEE Access, 2024

Visual Anomaly Detection with Self-Attention and Separate Memory Bank.

Kosaburo Hattori, Hayata Kaneko, Ryuto Ishibashi, Tomonori Izumi, Lin Meng

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Attention Distillation for Accuracy Improvement of Vision Transformer.

Taiga Tanaka, Ryuto Ishibashi, Lin Meng

Proceedings of the International Conference on Identification, 2024

Leftover Food Measurement Using Deep Learning Based Semantic Segmentation.

Haruhiro Takahashi, Ryuto Ishibashi, Hayata Kaneko, Lin Meng

Proceedings of the 6th International Symposium on Advanced Technologies and Applications in the Internet of Things, 2024

Norm-Regularized Token Compression in Vision Transformer Networks.

Masayuki Ishikawa, Ryuto Ishibashi, Lin Meng

Proceedings of the 6th International Symposium on Advanced Technologies and Applications in the Internet of Things, 2024

2023

Optimized Vision Transformer for Dementia Diagnosis Using Micro-Doppler Radar.

Ryuto Ishibashi, Naoto Nojiri, Hayata Kaneko, Kenshi Saho, Lin Meng

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Facial Expression Recognition with Face Mask using Attention Mechanism.

Shunsuke Hayashi, Yuga Ono, Ryuto Ishibashi, Qi Li, Lin Meng

Proceedings of the 5th International Symposium on Advanced Technologies and Applications in the Internet of Things, 2023