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Hironobu Fujiyoshi

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Action Q-Transformer: Visual Explanation in Deep Reinforcement Learning with Encoder-Decoder Model using Action Query

Jun 24, 2023
Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura

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Learning from AI: An Interactive Learning Method Using a DNN Model Incorporating Expert Knowledge as a Teacher

Jun 04, 2023
Kohei Hattori, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

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Masking and Mixing Adversarial Training

Feb 16, 2023
Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Yasunori Ishii, Kazuki Kozuka

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Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes

Sep 12, 2022
Shungo Fujii, Yasunori Ishii, Kazuki Kozuka, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

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Visual Explanation of Deep Q-Network for Robot Navigation by Fine-tuning Attention Branch

Aug 18, 2022
Yuya Maruyama, Hiroshi Fukui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura

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Object-ABN: Learning to Generate Sharp Attention Maps for Action Recognition

Jul 27, 2022
Tomoya Nitta, Tsubasa Hirakawa, Hironobu Fujiyoshi, Toru Tamaki

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ST-ABN: Visual Explanation Taking into Account Spatio-temporal Information for Video Recognition

Oct 29, 2021
Masahiro Mitsuhara, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

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Deep Ensemble Collaborative Learning by using Knowledge-transfer Graph for Fine-grained Object Classification

Mar 27, 2021
Naoki Okamoto, Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

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Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement Learning

Mar 06, 2021
Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura

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Predicting and Attending to Damaging Collisions for Placing Everyday Objects in Photo-Realistic Simulations

Feb 12, 2021
Aly Magassouba, Komei Sugiura, Angelica Nakayama, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Hisashi Kawai

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