Tsubasa Hirakawa | DeepAI

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Featured Co-authors

Takayoshi Yamashita
22 publications
Hisashi Kawai
21 publications
Toru Tamaki
20 publications
Takio Kurita
18 publications
Komei Sugiura
17 publications
Hironobu Fujiyoshi
16 publications
Bisser Raytchev
13 publications
Kazufumi Kaneda
13 publications
Yasunori Ishii
10 publications
Kazuki Kozuka
7 publications
Aly Magassouba
7 publications

∙ 06/04/2023

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

Visual explanation is an approach for visualizing the grounds of judgmen...

9 Kohei Hattori, et al. ∙

∙ 02/16/2023

Masking and Mixing Adversarial Training

While convolutional neural networks (CNNs) have achieved excellent perfo...

5 Hiroki Adachi, et al. ∙

∙ 09/12/2022

Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes

Data augmentation is an essential technique for improving recognition ac...

23 Shungo Fujii, et al. ∙

∙ 08/18/2022

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

Robot navigation with deep reinforcement learning (RL) achieves higher p...

0 Yuya Maruyama, et al. ∙

∙ 07/27/2022

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

In this paper we propose an extension of the Attention Branch Network (A...

0 Tomoya Nitta, et al. ∙

∙ 10/29/2021

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

It is difficult for people to interpret the decision-making in the infer...

3 Masahiro Mitsuhara, et al. ∙

∙ 03/27/2021

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

Mutual learning, in which multiple networks learn by sharing their knowl...

11 Naoki Okamoto, et al. ∙

∙ 03/06/2021

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

Deep reinforcement learning (DRL) has great potential for acquiring the ...

32 Hidenori Itaya, et al. ∙

∙ 02/12/2021

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

Placing objects is a fundamental task for domestic service robots (DSRs)...

11 Aly Magassouba, et al. ∙

∙ 07/09/2020

Alleviating the Burden of Labeling: Sentence Generation by Attention Branch Encoder-Decoder Network

Domestic service robots (DSRs) are a promising solution to the shortage ...

0 Tadashi Ogura, et al. ∙

∙ 12/12/2019

Improved Activity Forecasting for Generating Trajectories

An efficient inverse reinforcement learning for generating trajectories ...

0 Daisuke Ogawa, et al. ∙

∙ 09/10/2019

Knowledge Transfer Graph for Deep Collaborative Learning

We propose Deep Collaborative Learning (DCL), which is a method that inc...

0 Soma Minami, et al. ∙

∙ 05/09/2019

Embedding Human Knowledge in Deep Neural Network via Attention Map

Human-in-the-loop (HITL), which introduces human knowledge to machine le...

0 Masahiro Mitsuhara, et al. ∙

∙ 12/25/2018

Attention Branch Network: Learning of Attention Mechanism for Visual Explanation

Visual explanation enables human to understand the decision making of De...

24 Hiroshi Fukui, et al. ∙

∙ 11/01/2018

Survey on Vision-based Path Prediction

Path prediction is a fundamental task for estimating how pedestrians or ...

6 Tsubasa Hirakawa, et al. ∙

∙ 12/15/2016

Development of a Real-time Colorectal Tumor Classification System for Narrow-band Imaging zoom-videoendoscopy

Colorectal endoscopy is important for the early detection and treatment ...

0 Tsubasa Hirakawa, et al. ∙

∙ 11/08/2016

Domain Adaptation with L2 constraints for classifying images from different endoscope systems

This paper proposes a method for domain adaptation that extends the maxi...

0 Toru Tamaki, et al. ∙

∙ 08/24/2016

Transfer Learning for Endoscopic Image Classification

In this paper we propose a method for transfer learning of endoscopic im...

0 Shoji Sonoyama, et al. ∙

∙ 08/24/2016

Computer-Aided Colorectal Tumor Classification in NBI Endoscopy Using CNN Features

In this paper we report results for recognizing colorectal NBI endoscopi...

0 Toru Tamaki, et al. ∙