研究キーワード (3件):
Bias mitigation
, Language and Vision
, Image Recognition and Generation
競争的資金等の研究課題 (2件):
2023 - 2024 Exploiting Visuo-Linguistic Knowledge Base for Improving Vision - Language Modalities
2022 - 2024 Vision and language cross-modal for training conditional GANs with long-tail data.
論文 (18件):
Kai Katsumata, Duc Minh Vo, Hideki Nakayama. Label Augmentation as Inter-class Data Augmentation for Conditional Image Synthesis with Imbalanced Data. 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2024
Kai Katsumata, Duc Minh Vo, Tatsuya Harada, Hideki Nakayama. Soft Curriculum for Learning Conditional GANs with Noisy-Labeled and Uncurated Unlabeled Data. 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2024
Jiaxuan Li, Duc Minh Vo, Hideki Nakayama. Partition-And-Debias: Agnostic Biases Mitigation via A Mixture of Biases-Specific Experts. 2023
Rui Yang, Duc Minh Vo, Hideki Nakayama. Indirect Adversarial Losses via an Intermediate Distribution for Training GANs. WACV. 2023. 4641-4650
Hong Chen, Duc Minh Vo, Hiroya Takamura, Yusuke Miyao, Hideki Nakayama. StoryER: Automatic Story Evaluation via Ranking, Rating and Reasoning. EMNLP. 2022. 1739-1753