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2020 – today
- 2024
[c6]Peifei Zhu, Tsubasa Takahashi, Hirokatsu Kataoka:
Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models. CVPR 2024: 24420-24430- [i4]Peifei Zhu, Tsubasa Takahashi, Hirokatsu Kataoka:
Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models. CoRR abs/2404.09401 (2024) - 2023
- [j1]Peifei Zhu
, Zisheng Li, Masahiro Ogino:
Recurrent Continuous Adversarial Balancing for Estimating Individual Treatment Effect Over Time. Int. J. Comput. Intell. Syst. 16(1): 82 (2023) - [c5]Peifei Zhu, Genki Osada, Hirokatsu Kataoka, Tsubasa Takahashi:
Frequency-aware GAN for Adversarial Manipulation Generation. ICCV 2023: 4292-4301 - [i3]Shuhei Yokoo, Peifei Zhu, Junki Ishikawa, Rintaro Hasegawa:
3rd Place Solution to Meta AI Video Similarity Challenge. CoRR abs/2304.11964 (2023) - [i2]Shuhei Yokoo, Peifei Zhu, Yuchi Ishikawa, Mikihiro Tanaka, Masayoshi Kondo, Hirokatsu Kataoka:
Leveraging Image-Text Similarity and Caption Modification for the DataComp Challenge: Filtering Track and BYOD Track. CoRR abs/2310.14581 (2023) - [i1]Yamato Okamoto, Osada Genki, Iu Yahiro, Rintaro Hasegawa, Peifei Zhu, Hirokatsu Kataoka:
Image Generation and Learning Strategy for Deep Document Forgery Detection. CoRR abs/2311.03650 (2023) - 2021
- [c4]Peifei Zhu, Zisheng Li, Masahiro Ogino:
Multi-Domain Adversarial Balancing for the Estimation of Individual Treatment Effect. ICONIP (5) 2021: 20-27
2010 – 2019
- 2019
- [c3]Peifei Zhu, Masahiro Ogino:
Guideline-Based Additive Explanation for Computer-Aided Diagnosis of Lung Nodules. iMIMIC/ML-CDS@MICCAI 2019: 39-47 - 2016
- [c2]Peifei Zhu, Zisheng Li:
Guideline-Based Machine Learning for Standard Plane Extraction in 3D Cardiac Ultrasound. MCV/BAMBI@MICCAI 2016: 137-147 - 2014
- [c1]Peifei Zhu, Qieshi Zhang, Sei-ichiro Kamata:
Sparse decomposition learning based dynamic MRI reconstruction. ICMV 2014: 944516
Coauthor Index
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