2016 - IEEE Fellow For contributions to model-based coding and multimedia lifelogging
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.
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.
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.
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.
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Sketch-based manga retrieval using manga109 dataset
Yusuke Matsui;Kota Ito;Yuji Aramaki;Toshihiko Yamasaki.
Multimedia Tools and Applications (2017)
Model-based analysis synthesis image coding (MBASIC) system for a person's face
Kiyoharu Aizawa;Hiroshi Harashima;Takahiro Saito.
Signal Processing-image Communication (1989)
Model-based image coding advanced video coding techniques for very low bit-rate applications
K. Aizawa;T.S. Huang.
Proceedings of the IEEE (1995)
Joint Optimization Framework for Learning with Noisy Labels
Daiki Tanaka;Daiki Ikami;Toshihiko Yamasaki;Kiyoharu Aizawa.
computer vision and pattern recognition (2018)
Food Detection and Recognition Using Convolutional Neural Network
Hokuto Kagaya;Kiyoharu Aizawa;Makoto Ogawa.
acm multimedia (2014)
Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation
Naoto Inoue;Ryosuke Furuta;Toshihiko Yamasaki;Kiyoharu Aizawa.
computer vision and pattern recognition (2018)
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)
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)
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)
Advances in Multimedia Information Processing - Pcm 2004
Kiyoharu Aizawa;Yuichi Nakamura;Shin’ichi Satoh.
(2008)
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