2026 Tatsuya Harada: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	48	6096	5922	85	79	262	11839

Tatsuya Harada publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Tatsuya Harada sits on this spectrum.

32 publications 991+

This scientist: 262 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Tatsuya Harada D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Tatsuya Harada sits on this spectrum.

30 D-Index 131+

This scientist: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

2025 - Research.com Computer Science in Japan Leader Award
2022 - Research.com Computer Science in Japan Leader Award

Overview

Tatsuya Harada is affiliated with the University of Tokyo in Japan. Their research spans multiple areas within computer science, particularly focusing on computer vision and pattern recognition.

The scientist's work covers key subfields including:

Computer Vision and Pattern Recognition
Artificial Intelligence
Radiology, Nuclear Medicine and Imaging
Signal Processing
Computational Mechanics

Main topics explored in their research include:

Multimodal Machine Learning Applications
Domain Adaptation and Few-Shot Learning
Advanced Image and Video Retrieval Techniques
Advanced Vision and Imaging
Human Pose and Action Recognition
3D Shape Modeling and Analysis
Radiomics and Machine Learning in Medical Imaging

Recent publications of note from Tatsuya Harada include:

"Domain Generalization Using a Mixture of Multiple Latent Domains," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
"Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
"Lepard: Learning partial point cloud matching in rigid and deformable scenes," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
"Frequency-Aware Feature Fusion for Dense Image Prediction," 2024, IEEE Transactions on Pattern Analysis and Machine Intelligence
"You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction," 2022, arXiv (Cornell University)

Frequent coauthors working with Tatsuya Harada include:

Yusuke Mukuta
Lin Gu
Ziteng Cui
Yusuke Kurose

The primary venues where Tatsuya Harada has published include:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
Medical Image Analysis
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2021 IEEE/CVF International Conference on Computer Vision (ICCV)

The body of work shows a concentration on developing methods for image analysis, domain adaptation, and multimodal learning, with applications extending to medical imaging and 3D modeling. The range of publication venues and collaborations indicate active engagement in key research communities focused on computer vision and artificial intelligence.

Best Publications

Maximum Classifier Discrepancy for Unsupervised Domain Adaptation

Kuniaki Saito;Kohei Watanabe;Yoshitaka Ushiku;Tatsuya Harada

2141
Citations
Neural 3D Mesh Renderer

Hiroharu Kato;Yoshitaka Ushiku;Tatsuya Harada

936
Citations
Strong-Weak Distribution Alignment for Adaptive Object Detection

Kuniaki Saito;Yoshitaka Ushiku;Tatsuya Harada;Kate Saenko

679
Citations
MFNet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes

Qishen Ha;Kohei Watanabe;Takumi Karasawa;Yoshitaka Ushiku

522
Citations
Open Set Domain Adaptation by Backpropagation

Kuniaki Saito;Shohei Yamamoto;Yoshitaka Ushiku;Tatsuya Harada

521
Citations
Asymmetric tri-training for unsupervised domain adaptation

Kuniaki Saito;Yoshitaka Ushiku;Tatsuya Harada

465
Citations
Domain Generalization Using a Mixture of Multiple Latent Domains

Toshihiko Matsuura;Tatsuya Harada

304
Citations
Adversarial Dropout Regularization

Kuniaki Saito;Yoshitaka Ushiku;Tatsuya Harada;Kate Saenko

237
Citations
Learning environmental sounds with end-to-end convolutional neural network

Yuji Tokozume;Tatsuya Harada

230
Citations
Learning from Between-class Examples for Deep Sound Recognition

Yuji Tokozume;Yoshitaka Ushiku;Tatsuya Harada

230
Citations
Between-Class Learning for Image Classification

Yuji Tokozume;Yoshitaka Ushiku;Tatsuya Harada

210
Citations
Lepard: Learning partial point cloud matching in rigid and deformable scenes

Unknown

203
Citations
Image Generation from Small Datasets via Batch Statistics Adaptation

Atsuhiro Noguchi;Tatsuya Harada

179
Citations
Multispectral Object Detection for Autonomous Vehicles

Karasawa Takumi;Kohei Watanabe;Qishen Ha;Antonio Tejero-De-Pablos

163
Citations
Goal-Oriented Gaze Estimation for Zero-Shot Learning

Yang Liu;Lei Zhou;Xiao Bai;Yifei Huang

158
Citations
Multitask AET With Orthogonal Tangent Regularity for Dark Object Detection

Ziteng Cui;Guo-Jun Qi;Lin Gu;Shaodi You

155
Citations
Online growing neural gas for anomaly detection in changing surveillance scenes

Qianru Sun;Hong Liu;Tatsuya Harada

125
Citations
Discriminative spatial pyramid

Tatsuya Harada;Yoshitaka Ushiku;Yuya Yamashita;Yasuo Kuniyoshi

107
Citations
Portable absolute orientation estimation device with wireless network under accelerated situation

T. Harada;H. Uchino;T. Mori;T. Sato

106
Citations
Portable orientation estimation device based on accelerometers, magnetometers and gyroscope sensors for sensor network

T. Harada;H. Uchino;T. Mori;T. Sato

103
Citations
Image Reconstruction from Bag-of-Visual-Words

Hiroharu Kato;Tatsuya Harada

87
Citations
Learning View Priors for Single-View 3D Reconstruction

Hiroharu Kato;Tatsuya Harada

86
Citations

Frequent Co-Authors

Yasuo Kuniyoshi University of Tokyo

Kuniaki Saito Fujita Health University

Toru Sato Kyoto University

Kate Saenko Boston University

Daniel Cremers Technical University of Munich

Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)

Jun Zhou Griffith University

Emanuele Rodolà Sapienza University of Rome

Masashi Fukayama University of Tokyo

Heng Tao Shen University of Electronic Science and Technology of China

External Links

Personal website of Tatsuya Harada Google Scholar page

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