An Expandable Deep Learning Inference Framework With Adjustability to Workload Requirement. - Takeharu Eda; Sanae Muramatsu; Shohei Enomoto; Shi Xu (ICIP, 2019)

ECNet: A Fast, Accurate, and Lightweight Edge-Cloud Network System based on Cascading Structure. - Libo Hu; Tao Wang; Hiroshi Watanabe 001; Shohei Enomoto; Xu Shi 001; Akira Sakamoto; Takeharu Eda (GCCE, 2020)

Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems. - Shohei Enomoto; Takeharu Eda (AAAI, 2021)

Inter-Feature-Map Differential Coding of Surveillance Video. - Kei Iino; Miho Takahashi; Hiroshi Watanabe 001; Ichiro Morinaga; Shohei Enomoto; Xu Shi 001; Akira Sakamoto; Takeharu Eda (GCCE, 2022)

AugNet: Dynamic Test-Time Augmentation via Differentiable Functions. - Shohei Enomoto; Monikka Roslianna Busto; Takeharu Eda (CoRR, 2022)

A Video Object Detection Method of ECNet Based on Frame Difference and Grid Cell Confidence. - Shunsuke Akamatsu; Kei Iino; Hiroshi Watanabe 001; Shohei Enomoto; Xu Shi 001; Akira Sakamoto; Takeharu Eda (GCCE, 2023)

Incorporating Supervised Domain Generalization into Data Augmentation. - Shohei Enomoto; Monikka Roslianna Busto; Takeharu Eda (CoRR, 2023)

Collaborative Intelligence For Vision Transformers: A Token Sparsity-Driven Edge-Cloud Framework. - Monikka Roslianna Busto; Shohei Enomoto; Takeharu Eda (ICIP, 2024)

Improving Image Coding for Machines Through Optimizing Encoder Via Auxiliary Loss. - Kei Iino; Shunsuke Akamatsu; Hiroshi Watanabe 001; Shohei Enomoto; Akira Sakamoto; Takeharu Eda (ICIP, 2024)

Test-time Similarity Modification for Person Re-identification toward Temporal Distribution Shift. - Kazuki Adachi; Shohei Enomoto; Taku Sasaki; Shin'ya Yamaguchi (IJCNN, 2024)

Test-time Adaptation Meets Image Enhancement: Improving Accuracy via Uncertainty-aware Logit Switching. - Shohei Enomoto; Naoya Hasegawa; Kazuki Adachi; Taku Sasaki; Shin'ya Yamaguchi; Satoshi Suzuki; Takeharu Eda (IJCNN, 2024)

EntProp: High Entropy Propagation for Improving Accuracy and Robustness. - Shohei Enomoto (UAI, 2024)

Dynamic Test-Time Augmentation via Differentiable Functions. - Shohei Enomoto; Monikka Roslianna Busto; Takeharu Eda (IEEE Access, 2024)

Key Factors Determining the Required Number of Training Images in Person Re-Identification. - Taku Sasaki; Adam S. Walmsley; Kazuki Adachi; Shohei Enomoto; Shin'ya Yamaguchi (IEEE Access, 2024)

Pseudo Multi-Source Domain Generalization: Bridging the Gap Between Single and Multi-Source Domain Generalization. - Shohei Enomoto (CoRR, 2025)