D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 50 Citations 8,990 730 World Ranking 3714 National Ranking 41

Research.com Recognitions

Awards & Achievements

2016 - IEEE Fellow For contributions to model-based coding and multimedia lifelogging

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Statistics

His primary scientific interests are in Artificial intelligence, Computer vision, Pattern recognition, Image processing and Image. In his research on the topic of Artificial intelligence, Image resolution is strongly related with Signal processing. His study looks at the intersection of Computer vision and topics like Focus with Object and Image segmentation.

His Pattern recognition study integrates concerns from other disciplines, such as Contextual image classification, Photometric stereo and Sub-band coding. His Image processing research is multidisciplinary, relying on both Iterative method, Histogram, Professional video camera and Thesaurus. In the field of Image, his study on Image registration overlaps with subjects such as Displacement.

His most cited work include:

  • Sketch-based manga retrieval using manga109 dataset (284 citations)
  • Model-based analysis synthesis image coding (MBASIC) system for a person's face (249 citations)
  • Model-based image coding advanced video coding techniques for very low bit-rate applications (214 citations)

What are the main themes of his work throughout his whole career to date?

Kiyoharu Aizawa focuses on Artificial intelligence, Computer vision, Multimedia, Pattern recognition and Image. The study of Artificial intelligence is intertwined with the study of Computer graphics in a number of ways. His study involves Pixel, Image sensor, Motion estimation, Video tracking and Image segmentation, a branch of Computer vision.

Pixel is frequently linked to Image resolution in his study. His research ties Automatic summarization and Multimedia together. His biological study focuses on Digital image processing.

He most often published in these fields:

  • Artificial intelligence (66.12%)
  • Computer vision (51.43%)
  • Multimedia (13.47%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (66.12%)
  • Pattern recognition (11.84%)
  • Computer vision (51.43%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Artificial intelligence, Pattern recognition, Computer vision, Feature extraction and Machine learning. Kiyoharu Aizawa usually deals with Artificial intelligence and limits it to topics linked to Natural language processing and Font. Kiyoharu Aizawa works mostly in the field of Pattern recognition, limiting it down to topics relating to Object detection and, in certain cases, Detector, as a part of the same area of interest.

His Personalization research extends to the thematically linked field of Computer vision. In his research, The Internet is intimately related to Visualization, which falls under the overarching field of Feature extraction. His Convolutional neural network research includes themes of Classifier and Algorithm.

Between 2015 and 2021, his most popular works were:

  • Sketch-based manga retrieval using manga109 dataset (284 citations)
  • Joint Optimization Framework for Learning with Noisy Labels (205 citations)
  • Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation (159 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Statistics

Kiyoharu Aizawa spends much of his time researching Artificial intelligence, Pattern recognition, Feature extraction, Computer vision and Image. As a part of the same scientific study, Kiyoharu Aizawa usually deals with the Artificial intelligence, concentrating on Machine learning and frequently concerns with Learning based. His work deals with themes such as Contextual image classification, Object detection, Pascal and Embedding, which intersect with Pattern recognition.

His Feature extraction research is multidisciplinary, incorporating perspectives in Visualization, Histogram, Feature and Natural language processing. His research integrates issues of Visual processing and Computer graphics in his study of Computer vision. Kiyoharu Aizawa has researched Image in several fields, including Cursive, Engineering drawing, Font and Graphic design.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Sketch-based manga retrieval using manga109 dataset

Yusuke Matsui;Kota Ito;Yuji Aramaki;Toshihiko Yamasaki.
Multimedia Tools and Applications (2017)

543 Citations

Model-based analysis synthesis image coding (MBASIC) system for a person's face

Kiyoharu Aizawa;Hiroshi Harashima;Takahiro Saito.
Signal Processing-image Communication (1989)

403 Citations

Model-based image coding advanced video coding techniques for very low bit-rate applications

K. Aizawa;T.S. Huang.
Proceedings of the IEEE (1995)

365 Citations

Joint Optimization Framework for Learning with Noisy Labels

Daiki Tanaka;Daiki Ikami;Toshihiko Yamasaki;Kiyoharu Aizawa.
computer vision and pattern recognition (2018)

338 Citations

Food Detection and Recognition Using Convolutional Neural Network

Hokuto Kagaya;Kiyoharu Aizawa;Makoto Ogawa.
acm multimedia (2014)

236 Citations

Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation

Naoto Inoue;Ryosuke Furuta;Toshihiko Yamasaki;Kiyoharu Aizawa.
computer vision and pattern recognition (2018)

235 Citations

Analysis and synthesis of facial image sequences in model-based image coding

Chang Seek Choi;K. Aizawa;H. Harashima;T. Takebe.
IEEE Transactions on Circuits and Systems for Video Technology (1994)

202 Citations

Efficient retrieval of life log based on context and content

Kiyoharu Aizawa;Datchakorn Tancharoen;Shinya Kawasaki;Toshihiko Yamasaki.
acm workshop on continuous archival and retrieval of personal experiences (2004)

188 Citations

Signal-processing based method for acquiring very high resolution images with multiple cameras and its theoretical analysis

T. Komatsu;K. Aizawa;T. Igarashi;T. Saito.
IEE Proceedings I Communications, Speech and Vision (1993)

173 Citations

Advances in Multimedia Information Processing - Pcm 2004

Kiyoharu Aizawa;Yuichi Nakamura;Shin’ichi Satoh.
(2008)

160 Citations

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