Ryotaro Shimizu

According to our database, Ryotaro Shimizu authored at least 13 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

LLMOverTab: Tabular data augmentation with language model-driven oversampling.

Tokimasa Isomura, Ryotaro Shimizu, Masayuki Goto

Expert Syst. Appl., 2025

2024

Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation.

Ryotaro Shimizu, Takashi Wada, Yu Wang, Johannes Kruse, Sean O'Brien, Sai Htaung Kham, Linxin Song, Yuya Yoshikawa, Yuki Saito, Fugee Tsung, Masayuki Goto, Julian J. McAuley

CoRR, 2024

LARE: Latent Augmentation using Regional Embedding with Vision-Language Model.

Kosuke Sakurai, Tatsuya Ishii, Ryotaro Shimizu, Linxin Song, Masayuki Goto

CoRR, 2024

A Fashion Item Recommendation Model in Hyperbolic Space.

Ryotaro Shimizu, Yu Wang, Masanari Kimura, Yuki Hirakawa, Takashi Wada, Yuki Saito, Julian J. McAuley

CoRR, 2024

Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property.

Yuya Yoshikawa, Masanari Kimura, Ryotaro Shimizu, Yuki Saito

CoRR, 2024

On permutation-invariant neural networks.

Masanari Kimura, Ryotaro Shimizu, Yuki Hirakawa, Ryosuke Goto, Yuki Saito

CoRR, 2024

An Empirical Analysis of GPT-4V's Performance on Fashion Aesthetic Evaluation.

Yuki Hirakawa, Takashi Wada, Kazuya Morishita, Ryotaro Shimizu, Takuya Furusawa, Sai Htaung Kham, Yuki Saito

Proceedings of the SIGGRAPH Asia 2024 Technical Communications, 2024

2023

Partial visual-semantic embedding: Fine-grained outfit image representation with massive volumes of tags via angular-based contrastive learning.

Ryotaro Shimizu, Takuma Nakamura, Masayuki Goto

Knowl. Based Syst., October, 2023

Fashion intelligence system: An outfit interpretation utilizing images and rich abstract tags.

Ryotaro Shimizu, Yuki Saito, Megumi Matsutani, Masayuki Goto

Expert Syst. Appl., 2023

Fashion-Specific Ambiguous Expression Interpretation with Partial Visual-Semantic Embedding.

Ryotaro Shimizu, Takuma Nakamura, Masayuki Goto

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

An explainable recommendation framework based on an improved knowledge graph attention network with massive volumes of side information.

Ryotaro Shimizu, Megumi Matsutani, Masayuki Goto

Knowl. Based Syst., 2022

Partial Visual-Semantic Embedding: Fashion Intelligence System with Sensitive Part-by-Part Learning.

Ryotaro Shimizu, Takuma Nakamura, Masayuki Goto

CoRR, 2022

Fashion-Specific Attributes Interpretation via Dual Gaussian Visual-Semantic Embedding.

Ryotaro Shimizu, Masanari Kimura, Masayuki Goto

CoRR, 2022