Takeharu Eda

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 14

Top Topics

Monitoring System

Detection Method

Top Venues

Publications

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)
Takeharu Eda, Akihiro Yamanaka, Keiichi Tabata, Ikuo Yamasaki
Case Study: Two-Phase AI Prediction Techniques for Space Edge Computing. IGARSS (2023)
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)
Haris Gulzar, Muhammad Shakeel, Katsutoshi Itoyama, Kazuhiro Nakadai, Kenji Nishida, Hideharu Amano, Takeharu Eda
FPGA based Power-Efficient Edge Server to Accelerate Speech Interface for Socially Assistive Robotics. SII (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)
Shin'ya Yamaguchi, Sekitoshi Kanai, Takeharu Eda
Effective Data Augmentation with Multi-Domain Learning GANs. AAAI (2020)
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)
Shin'ya Yamaguchi, Sekitoshi Kanai, Takeharu Eda
Effective Data Augmentation with Multi-Domain Learning GANs. CoRR (2019)
Takeharu Eda, Sanae Muramatsu, Keita Mikami, Shi Xu
A Practical Person Monitoring System for City Security. AVSS (2018)
Takeharu Eda, Toshio Uchiyama, Katsuji Bessho, Norifumi Katafuchi, Alice Chen, Ryoji Kataoka
Accelerating instant question search with database techniques. WWW (Companion Volume) (2011)
Takeharu Eda, Toshio Uchiyama, Tadasu Uchiyama, Masatoshi Yoshikawa
Signaling emotion in tagclouds. WWW (2009)
Takeharu Eda, Masatoshi Yoshikawa, Toshio Uchiyama, Tadasu Uchiyama
The Effectiveness of Latent Semantic Analysis for Building Up a Bottom-up Taxonomy from Folksonomy Tags. World Wide Web 12 (4) (2009)
Takeharu Eda, Masatoshi Yoshikawa, Masashi Yamamuro
Locally Expandable Allocation of Folksonomy Tags in a Directed Acyclic Graph. WISE (2008)
Takeharu Eda, Makoto Onizuka, Masashi Yamamuro
Processing XPath queries with XML summaries. CIKM (2005)
Takeharu Eda, Yasushi Sakurai, Toshiyuki Amagasa, Masatoshi Yoshikawa, Shunsuke Uemura, Takashi Honishi
Dynamic Range Labeling for XML Trees. EDBT Workshops (2004)