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2020 – today
- 2024
[j2]Shohei Enomoto, Monikka Roslianna Busto, Takeharu Eda:
Dynamic Test-Time Augmentation via Differentiable Functions. IEEE Access 12: 149593-149605 (2024)- [c20]Takeharu Eda, Monikka Roslianna Busto, Takuro Udagawa, Naoki Ishihama, Keiichi Tabata, Yoshinori Matsuo, Ikuo Yamasaki:
Technical Challenges for AI in Space Data Centers. IGARSS 2024: 1733-1735 - [c19]Monikka Roslianna Busto, Takeharu Eda, Takuro Udagawa, Tatsuyuki Sekine:
Case-Study: Two-Phase AI Prediction for Onboard Synthetic Aperture Radar (SAR) Data Processing. IGARSS 2024: 7320-7324 - [c18]Monikka Roslianna Busto, Sepehr Nouri, Takeharu Eda:
Parameter and Data Efficient Framework for Lightweight Change Detection. IGARSS 2024: 8767-8771 - [c17]Tatsuyuki Sekine, Akihiro Yamanaka, Takeharu Eda, Takuro Udagawa, Monikka Roslianna Busto:
A GAN-Based SAR-Optical Data Fusion Approach for Enhanced Flood Mapping. IGARSS 2024: 8958-8962 - [c16]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. IJCNN 2024: 1-8 - [i6]Kei Iino, Shunsuke Akamatsu, Hiroshi Watanabe, Shohei Enomoto, Akira Sakamoto, Takeharu Eda:
Improving Image Coding for Machines through Optimizing Encoder via Auxiliary Loss. CoRR abs/2402.08267 (2024) - [i5]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 abs/2403.17423 (2024) - 2023
- [c15]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: 364-367 - [c14]Takeharu Eda, Akihiro Yamanaka, Keiichi Tabata, Ikuo Yamasaki:
Case Study: Two-Phase AI Prediction Techniques for Space Edge Computing. IGARSS 2023: 1873-1874 - [c13]Haris Gulzar, Monikka Roslianna Busto, Takeharu Eda, Katsutoshi Itoyama, Kazuhiro Nakadai:
miniStreamer: Enhancing Small Conformer with Chunked-Context Masking for Streaming ASR Applications on the Edge. INTERSPEECH 2023: 3277-3281 - [c12]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: 1-6 - [i4]Shohei Enomoto, Monikka Roslianna Busto, Takeharu Eda:
Incorporating Supervised Domain Generalization into Data Augmentation. CoRR abs/2310.01029 (2023) - 2022
- [c11]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: 286-289 - [i3]Shohei Enomoto, Monikka Roslianna Busto, Takeharu Eda:
AugNet: Dynamic Test-Time Augmentation via Differentiable Functions. CoRR abs/2212.04681 (2022) - 2021
- [c10]Shohei Enomoto, Takeharu Eda:
Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems. AAAI 2021: 7331-7339 - [i2]Shohei Enomoto, Takeharu Eda:
Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems. CoRR abs/2104.09286 (2021) - 2020
- [c9]Shin'ya Yamaguchi, Sekitoshi Kanai, Takeharu Eda:
Effective Data Augmentation with Multi-Domain Learning GANs. AAAI 2020: 6566-6574 - [c8]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: 186-189
2010 – 2019
- 2019
- [c7]Takeharu Eda, Sanae Muramatsu, Shohei Enomoto, Shi Xu:
An Expandable Deep Learning Inference Framework With Adjustability to Workload Requirement. ICIP 2019: 2454 - [i1]Shin'ya Yamaguchi, Sekitoshi Kanai, Takeharu Eda:
Effective Data Augmentation with Multi-Domain Learning GANs. CoRR abs/1912.11597 (2019) - 2018
- [c6]Takeharu Eda, Sanae Muramatsu, Keita Mikami, Shi Xu:
A Practical Person Monitoring System for City Security. AVSS 2018: 1-6 - 2011
- [c5]Takeharu Eda, Toshio Uchiyama, Katsuji Bessho, Norifumi Katafuchi, Alice Chen, Ryoji Kataoka:
Accelerating instant question search with database techniques. WWW (Companion Volume) 2011: 205-208
2000 – 2009
- 2009
- [j1]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): 421-440 (2009) - [c4]Takeharu Eda, Toshio Uchiyama, Tadasu Uchiyama, Masatoshi Yoshikawa:
Signaling emotion in tagclouds. WWW 2009: 1199-1200 - 2008
- [c3]Takeharu Eda, Masatoshi Yoshikawa, Masashi Yamamuro:
Locally Expandable Allocation of Folksonomy Tags in a Directed Acyclic Graph. WISE 2008: 151-162 - 2005
- [c2]Takeharu Eda, Makoto Onizuka, Masashi Yamamuro:
Processing XPath queries with XML summaries. CIKM 2005: 223-224 - 2004
- [c1]Takeharu Eda, Yasushi Sakurai, Toshiyuki Amagasa, Masatoshi Yoshikawa, Shunsuke Uemura, Takashi Honishi:
Dynamic Range Labeling for XML Trees. EDBT Workshops 2004: 230-239
Coauthor Index
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last updated on 2024-10-30 21:35 CET by the dblp team
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