Hironobu Fujiyoshi

Hironobu Fujiyoshi

Chubu University

H-index: 26

Asia-Japan

About Hironobu Fujiyoshi

Hironobu Fujiyoshi, With an exceptional h-index of 26 and a recent h-index of 17 (since 2020), a distinguished researcher at Chubu University, specializes in the field of Computer vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

Image processing apparatus, method of generating learning model, and inference method

Training method and training device

Efficient Action Spotting Using Saliency Feature Weighting

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

Single-Shot Pruning for Pre-trained Models: Rethinking the Importance of Magnitude Pruning

Detecting Data Drift with KS Test Using Attention Map

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

Uncertainty-Aware Interactive LiDAR Sampling for Deep Depth Completion

Hironobu Fujiyoshi Information

University

Position

Professor

Citations(all)

9263

Citations(since 2020)

2394

Cited By

7401

hIndex(all)

26

hIndex(since 2020)

17

i10Index(all)

74

i10Index(since 2020)

28

Email

University Profile Page

Chubu University

Google Scholar

View Google Scholar Profile

Hironobu Fujiyoshi Skills & Research Interests

Computer vision

Top articles of Hironobu Fujiyoshi

Title

Journal

Author(s)

Publication Date

Image processing apparatus, method of generating learning model, and inference method

2024/3/28

Training method and training device

2024/3/14

Efficient Action Spotting Using Saliency Feature Weighting

IEICE TRANSACTIONS on Information and Systems

Yuzhi Shi

Takayoshi Yamashita

Tsubasa Hirakawa

Hironobu Fujiyoshi

Mitsuru Nakazawa

...

2024/1/1

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

IEICE TRANSACTIONS on Information and Systems

Tomoya Nitta

Tsubasa Hirakawa

Hironobu Fujiyoshi

Toru Tamaki

2023/3/1

Single-Shot Pruning for Pre-trained Models: Rethinking the Importance of Magnitude Pruning

Hirokazu Kohama

Hiroaki Minoura

Tsubasa Hirakawa

Takayoshi Yamashita

Hironobu Fujiyoshi

2023

Detecting Data Drift with KS Test Using Attention Map

Tsunemi Nitta

Yuzhi Shi

Tsubasa Hirakawa

Takayoshi Yamashita

Hironobu Fujiyoshi

2023/11/5

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

arXiv preprint arXiv:2306.13879

Hidenori Itaya

Tsubasa Hirakawa

Takayoshi Yamashita

Hironobu Fujiyoshi

Komei Sugiura

2023/6/24

Uncertainty-Aware Interactive LiDAR Sampling for Deep Depth Completion

Kensuke Taguchi

Shogo Morita

Yusuke Hayashi

Wataru Imaeda

Hironobu Fujiyoshi

2023

Information processing method of predicting calculation amount suitable for recognizing motion of object

2023/10/3

Complement Objective Mining Branch for Optimizing Attention Map.

Takaaki Iwayoshi

Hiroki Adachi

Tsubasa Hirakawa

Takayoshi Yamashita

Hironobu Fujiyoshi

2023

Masking and Mixing Adversarial Training

arXiv preprint arXiv:2302.08066

Hiroki Adachi

Tsubasa Hirakawa

Takayoshi Yamashita

Hironobu Fujiyoshi

Yasunori Ishii

...

2023/2/16

Towards Prototypical Part Interpretable Similarity Learning with ProtoMetric

IEEE Access

Yuki Ukai

Tsubasa Hirakawa

Takayoshi Yamashita

Hironobu Fujiyoshi

2023/6/19

Automatic data collection for object detection and grasp-position estimation with mobile robots and invisible markers

Advanced Robotics

Suraj Prakash Pattar

Thomas Killus

Tsubasa Hirakawa

Takayoshi Yamashita

Tetsuya Sawanobori

...

2023/2/16

Understanding of Feature Representation in Convolutional Neural Networks and Vision Transformer.

Hiroaki Minoura

Tsubasa Hirakawa

Takayoshi Yamashita

Hironobu Fujiyoshi

2023

Human-like Guidance with Gaze Estimation and Classification-based Text Generation

Masaki Nambata

Kota Shimomura

Tsubasa Hirakawa

Takayoshi Yamashita

Hironobu Fujiyoshi

2023/9/24

Analyzing the Accuracy, Representations, and Explainability of Various Loss Functions for Deep Learning

Tenshi Ito

Hiroki Adachi

Tsubasa Hirakawa

Takayoshi Yamashita

Hironobu Fujiyoshi

2023/6/18

Embedding Human Knowledge into Spatio-Temproal Attention Branch Network in Video Recognition via Temporal Attention

Saki Noguchi

Yuzhi Shi

Tsubasa Hirakawa

Takayoshi Yamashita

Hironobu Fujiyoshi

2023

Object Detection in Poor-visibility Scenarios Using a Night-vision System

Yusuke Hayashi

Kensuke Taguchi

Shogo Morita

Koji Arata

Hironobu Fujiyoshi

2023/7/4

Visual Explanation for Cooperative Behavior in Multi-Agent Reinforcement Learning

Hidenori Itaya

Tom Sagawa

Tsubasa Hirakawa

Takayoshi Yamashita

Hironobu Fujiyoshi

2023/6/18

1D-SalsaSAN: Semantic Segmentation of LiDAR Point Cloud with Self-Attention.

Takahiro Suzuki

Tsubasa Hirakawa

Takayoshi Yamashita

Hironobu Fujiyoshi

2023

See List of Professors in Hironobu Fujiyoshi University(Chubu University)

Co-Authors

H-index: 169
Takeo Kanade

Takeo Kanade

Carnegie Mellon University

H-index: 25
Takayoshi Yamashita

Takayoshi Yamashita

Chubu University

H-index: 7
Tsubasa Hirakawa

Tsubasa Hirakawa

Chubu University

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