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Shin'ichi Satoh 0003
Person information
- affiliation: CyberAgent Inc., Tokyo, Japan
Other persons with the same name
- Shin'ichi Satoh
- Shin'ichi Satoh 0001
(aka: Shinichi Satoh 0001) — National Institute of Informatics, Multimedia Information Research Division, Tokyo, Japan (and 3 more)
- Shin'ichi Satoh 0002 (aka: Shinichi Satoh 0002) — Gunma University, Division of Electronics and Informatics, Japan
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2020 – today
- 2024
- [c6]Antonio Tejero-de-Pablos
Robust Nearest Neighbors for Source-Free Domain Adaptation Under Class Distribution Shift. ECCV (72) 2024: 1-17 - 2023
- [c5]Mayu Otani, Riku Togashi, Yu Sawai, Ryosuke Ishigami, Yuta Nakashima, Esa Rahtu
Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation. CVPR 2023: 14277-14286 - [i5]Mayu Otani, Riku Togashi, Yu Sawai, Ryosuke Ishigami, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Shin'ichi Satoh:
Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation. CoRR abs/2304.01816 (2023) - 2022
- [c4]Mayu Otani, Riku Togashi
Optimal Correction Cost for Object Detection Evaluation. CVPR 2022: 21075-21083 - [i4]Mayu Otani, Riku Togashi, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Shin'ichi Satoh:
Optimal Correction Cost for Object Detection Evaluation. CoRR abs/2203.14438 (2022) - 2021
- [c3]Riku Togashi
Scalable Personalised Item Ranking through Parametric Density Estimation. SIGIR 2021: 921-931 - [c2]Riku Togashi
Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph. WSDM 2021: 931-939 - [c1]Riku Togashi
Density-Ratio Based Personalised Ranking from Implicit Feedback. WWW 2021: 3221-3233 - [i3]Riku Togashi, Masahiro Kato, Mayu Otani, Shin'ichi Satoh:
Density-Ratio Based Personalised Ranking from Implicit Feedback. CoRR abs/2101.07481 (2021) - [i2]Riku Togashi, Masahiro Kato, Mayu Otani, Tetsuya Sakai, Shin'ichi Satoh:
Scalable Personalised Item Ranking through Parametric Density Estimation. CoRR abs/2105.04769 (2021) - 2020
- [i1]Riku Togashi, Mayu Otani, Shin'ichi Satoh:
Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph. CoRR abs/2011.05061 (2020)
Coauthor Index
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