Ryosuke Furuta
Ryosuke Furuta
Verified email at rs.tus.ac.jp - Homepage
Title
Cited by
Cited by
Year
Cross-domain weakly-supervised object detection through progressive domain adaptation
N Inoue, R Furuta, T Yamasaki, K Aizawa
Proceedings of the IEEE conference on computer vision and pattern …, 2018
1122018
Prediction of user ratings of oral presentations using label relations
T Yamasaki, Y Fukushima, R Furuta, L Sun, K Aizawa, D Bollegala
Proceedings of the 1st International Workshop on Affect & Sentiment in …, 2015
172015
Fully convolutional network with multi-step reinforcement learning for image processing
R Furuta, N Inoue, T Yamasaki
Proceedings of the AAAI Conference on Artificial Intelligence 33, 3598-3605, 2019
152019
Fooling neural networks in face attractiveness evaluation: Adversarial examples with high attractiveness score but low subjective score
S Shen, R Furuta, T Yamasaki, K Aizawa
2017 IEEE Third International Conference on Multimedia Big Data (BigMM), 66-69, 2017
112017
Fast volume seam carving with multipass dynamic programming
R Furuta, I Tsubaki, T Yamasaki
IEEE Transactions on Circuits and Systems for Video Technology 28 (5), 1087-1101, 2016
92016
Object detection refinement using markov random field based pruning and learning based rescoring
N Inoue, R Furuta, T Yamasaki, K Aizawa
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
32017
Coarse-to-fine strategy for efficient cost-volume filtering
R Furuta, S Ikehata, T Yamasaki, K Aizawa
2014 IEEE International Conference on Image Processing (ICIP), 3793-3797, 2014
32014
Efficient and interactive spatial-semantic image retrieval
R Furuta, N Inoue, T Yamasaki
Multimedia Tools and Applications 78 (13), 18713-18733, 2019
22019
Towards online impression prediction of oral presentations using soft coding
T Yamasaki, Y Fukushima, R Furuta, K Aizawa
2016 IEEE Second International Conference on Multimedia Big Data (BigMM …, 2016
22016
PixelRL: Fully Convolutional Network with Reinforcement Learning for Image Processing
R Furuta, N Inoue, T Yamasaki
IEEE Transactions on Multimedia, 2019
12019
Efficiency-enhanced cost-volume filtering featuring coarse-to-fine strategy
R Furuta, S Ikehata, T Yamaskai, K Aizawa
Multimedia Tools and Applications 77 (10), 12469-12491, 2018
12018
Schoo report
R Furuta, Y Fukushima
Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and …, 2016
2016
MRF-Based Multi-Label Classification using Label Relations
R Furuta, Y Fukushima, T Yamasaki, K Aizawa
2015
MRF-Based Multi-Label Classification using Label Relations (情報論的学習理論と機械学習)
R FURUTA, Y FUKUSHIMA, T YAMASAKI
電子情報通信学会技術研究報告= IEICE technical report: 信学技報 115 (225), 83-90, 2015
2015
MRF-Based Multi-Label Classification using Label Relations (パターン認識・メディア理解)
R FURUTA, Y FUKUSHIMA, T YAMASAKI
電子情報通信学会技術研究報告= IEICE technical report: 信学技報 115 (224), 83-90, 2015
2015
ICIP 2014 report
Y Matsui, S Sano, R Furuta, T Yamasaki
Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and …, 2015
2015
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Articles 1–16