Shohei Enomoto

23 papers A* 1A 1B 5Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
MultiModal Fine-tuning with Synthetic Captions.
CoRR
Shohei Enomoto, Shin'ya Yamaguchi
2025 J jnl
Enhancing Visual Prompting through Expanded Transformation Space and Overfitting Mitigation.
CoRR
Shohei Enomoto
2025 J jnl
Pseudo Multi-Source Domain Generalization: Bridging the Gap Between Single and Multi-Source Domain Generalization.
CoRR
Shohei Enomoto
2024 B conf
Collaborative Intelligence For Vision Transformers: A Token Sparsity-Driven Edge-Cloud Framework.
ICIP
Monikka Roslianna Busto, Shohei Enomoto, Takeharu Eda
2024 J jnl
Dynamic Test-Time Augmentation via Differentiable Functions.
IEEE Access
Shohei Enomoto, Monikka Roslianna Busto, Takeharu Eda
2024 A conf
EntProp: High Entropy Propagation for Improving Accuracy and Robustness.
UAI
Shohei Enomoto
2024 J jnl
EntProp: High Entropy Propagation for Improving Accuracy and Robustness.
CoRR
Shohei Enomoto
2024 B conf
Improving Image Coding for Machines Through Optimizing Encoder Via Auxiliary Loss.
ICIP
Kei Iino, Shunsuke Akamatsu, Hiroshi Watanabe, Shohei Enomoto, Akira Sakamoto, Takeharu Eda
2024 J jnl
Improving Image Coding for Machines through Optimizing Encoder via Auxiliary Loss.
CoRR
Kei Iino, Shunsuke Akamatsu, Hiroshi Watanabe, Shohei Enomoto, Akira Sakamoto, Takeharu Eda
2024 J jnl
Inter-Feature-Map Differential Coding of Surveillance Video.
CoRR
Kei Iino, Miho Takahashi, Hiroshi Watanabe, Ichiro Morinaga, Shohei Enomoto, Xu Shi, Akira Sakamoto, Takeharu Eda
2024 J jnl
Key Factors Determining the Required Number of Training Images in Person Re-Identification.
IEEE Access
Taku Sasaki, Adam S. Walmsley, Kazuki Adachi, Shohei Enomoto, Shin'ya Yamaguchi
2024 B conf
Test-time Adaptation Meets Image Enhancement: Improving Accuracy via Uncertainty-aware Logit Switching.
IJCNN
Shohei Enomoto, Naoya Hasegawa, Kazuki Adachi, Taku Sasaki, Shin'ya Yamaguchi, Satoshi Suzuki, Takeharu Eda
2024 J jnl
Test-time Adaptation Meets Image Enhancement: Improving Accuracy via Uncertainty-aware Logit Switching.
CoRR
Shohei Enomoto, Naoya Hasegawa, Kazuki Adachi, Taku Sasaki, Shin'ya Yamaguchi, Satoshi Suzuki, Takeharu Eda
2024 B conf
Test-time Similarity Modification for Person Re-identification toward Temporal Distribution Shift.
IJCNN
Kazuki Adachi, Shohei Enomoto, Taku Sasaki, Shin'ya Yamaguchi
2024 J jnl
Test-time Similarity Modification for Person Re-identification toward Temporal Distribution Shift.
CoRR
Kazuki Adachi, Shohei Enomoto, Taku Sasaki, Shin'ya Yamaguchi
2023 — conf
A Video Object Detection Method of ECNet Based on Frame Difference and Grid Cell Confidence.
GCCE
Shunsuke Akamatsu, Kei Iino, Hiroshi Watanabe, Shohei Enomoto, Xu Shi, Akira Sakamoto, Takeharu Eda
2023 J jnl
Incorporating Supervised Domain Generalization into Data Augmentation.
CoRR
Shohei Enomoto, Monikka Roslianna Busto, Takeharu Eda
2022 J jnl
AugNet: Dynamic Test-Time Augmentation via Differentiable Functions.
CoRR
Shohei Enomoto, Monikka Roslianna Busto, Takeharu Eda
2022 — conf
Inter-Feature-Map Differential Coding of Surveillance Video.
GCCE
Kei Iino, Miho Takahashi, Hiroshi Watanabe, Ichiro Morinaga, Shohei Enomoto, Xu Shi, Akira Sakamoto, Takeharu Eda
2021 A* conf
Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems.
AAAI
Shohei Enomoto, Takeharu Eda
2021 J jnl
Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems.
CoRR
Shohei Enomoto, Takeharu Eda
2020 — conf
ECNet: A Fast, Accurate, and Lightweight Edge-Cloud Network System based on Cascading Structure.
GCCE
Libo Hu, Tao Wang, Hiroshi Watanabe, Shohei Enomoto, Xu Shi, Akira Sakamoto, Takeharu Eda
2019 B conf
An Expandable Deep Learning Inference Framework With Adjustability to Workload Requirement.
ICIP
Takeharu Eda, Sanae Muramatsu, Shohei Enomoto, Shi Xu