Shohei Enomoto

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Lapped Transforms

Detection Method

Color Image Enhancement

Top Venues

Publications

Shohei Enomoto, Naoya Hasegawa, Kazuki Adachi, Taku Sasaki, Shin'ya Yamaguchi, Satoshi Suzuki, Takeharu Eda
Test-time Adaptation Meets Image Enhancement: Improving Accuracy via Uncertainty-aware Logit Switching. CoRR (2024)
Kazuki Adachi, Shohei Enomoto, Taku Sasaki, Shin'ya Yamaguchi
Test-time Similarity Modification for Person Re-identification toward Temporal Distribution Shift. CoRR (2024)
Shohei Enomoto
EntProp: High Entropy Propagation for Improving Accuracy and Robustness. CoRR (2024)
Kei Iino, Shunsuke Akamatsu, Hiroshi Watanabe, Shohei Enomoto, Akira Sakamoto, Takeharu Eda
Improving Image Coding for Machines through Optimizing Encoder via Auxiliary Loss. CoRR (2024)
Shunsuke Akamatsu, Kei Iino, Hiroshi Watanabe, Shohei Enomoto, Xu Shi, Akira Sakamoto, Takeharu Eda
A Video Object Detection Method of ECNet Based on Frame Difference and Grid Cell Confidence. GCCE (2023)
Shohei Enomoto, Monikka Roslianna Busto, Takeharu Eda
Incorporating Supervised Domain Generalization into Data Augmentation. CoRR (2023)
Kei Iino, Miho Takahashi, Hiroshi Watanabe, Ichiro Morinaga, Shohei Enomoto, Xu Shi, Akira Sakamoto, Takeharu Eda
Inter-Feature-Map Differential Coding of Surveillance Video. GCCE (2022)
Shohei Enomoto, Monikka Roslianna Busto, Takeharu Eda
AugNet: Dynamic Test-Time Augmentation via Differentiable Functions. CoRR (2022)
Shohei Enomoto, Takeharu Eda
Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems. AAAI (2021)
Shohei Enomoto, Takeharu Eda
Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems. CoRR (2021)
Libo Hu, Tao Wang, Hiroshi Watanabe, Shohei Enomoto, Shi Xu, Akira Sakamoto, Takeharu Eda
ECNet: A Fast, Accurate, and Lightweight Edge-Cloud Network System based on Cascading Structure. GCCE (2020)
Takeharu Eda, Sanae Muramatsu, Shohei Enomoto, Shi Xu
An Expandable Deep Learning Inference Framework With Adjustability to Workload Requirement. ICIP (2019)