Tatsuya Harada
Tatsuya Harada publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, on topics such as Advanced Image and Video Retrieval Techniques, Multimodal Machine Learning Applications and Domain Adaptation and Few-Shot Learning.
- World rank
- #492,049 of 7,710,434 ranked researchers
- Rank in Japan
- #5,030 of 383,136
- Works
- 519
- Citations
- 12k
- Citations per work
- 22.5
What does Tatsuya Harada research?
Tatsuya Harada's work is mostly in Computer Science (57%), Engineering (9%), Medicine (3%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences34666.7%
- Computer Science29857.4%
- Engineering489.3%
- Everything else15930.6%
- Health Sciences142.7%
- Medicine142.7%
- 1Computer Vision and Pattern Recognition38% of their works
- 2Artificial Intelligence17% of their works
- 3Electrical and Electronic Engineering6% of their works
- 4Control and Systems Engineering4% of their works
- 5Signal Processing3% of their works
- 6Radiology, Nuclear Medicine and Imaging3% of their works
Research topics
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Domain Adaptation and Few-Shot Learning
- Image Retrieval and Classification Techniques
- Human Pose and Action Recognition
- Advanced Vision and Imaging
- Generative Adversarial Networks and Image Synthesis
- Video Analysis and Summarization
Which keywords describe Tatsuya Harada's research?
The keywords of their largest research topics: Deep Learning, Unsupervised Learning, Neural Networks, Feature Matching, Local Descriptors, Convolutional Networks, Representation Learning and Image Captioning.
- Content-Based Retrieval
- Generative Adversarial Networks
- Depth Estimation
- Pose Estimation
- Action Recognition
- Domain Adaptation
- Image Captioning
- Convolutional Networks
- Feature Matching
- Unsupervised Learning
- Deep Learning
- Neural Networks
- Local Descriptors
- Representation Learning
- Visual Question Answering
- Transfer Learning
- Content-Based Image Retrieval
- Shape Matching
- Stereo Vision
- Image Synthesis
- Video Summarization
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 21 words, with their numbers
- Deep Learning2654 topics
- Unsupervised Learning1393 topics
- Neural Networks1222 topics
- Feature Matching951 topic
- Local Descriptors951 topic
- Convolutional Networks942 topics
- Representation Learning932 topics
- Image Captioning901 topic
- Visual Question Answering901 topic
- Domain Adaptation611 topic
- Transfer Learning611 topic
- Action Recognition481 topic
- Content-Based Image Retrieval481 topic
- Pose Estimation481 topic
- Shape Matching481 topic
- Depth Estimation461 topic
- Stereo Vision461 topic
- Generative Adversarial Networks321 topic
- Image Synthesis321 topic
- Content-Based Retrieval301 topic
- Video Summarization301 topic
Where does Tatsuya Harada work?
Tatsuya Harada's main affiliation in the publication record is The University of Tokyo, Japan.
How many publications and citations does Tatsuya Harada have?
OpenAlex counts 519 works and 11,652 citations for Tatsuya Harada, an h-index of 47, ranking #492,049 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Other researchers named Tatsuya Harada
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
Discussion
Ask a question or share a note about Tatsuya Harada. Posts are plain text and can be reported.