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Fingerprint Dive into the research topics where Seiichi Uchida is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 6 Similar Profiles
Character recognition Engineering & Materials Science
Optical character recognition Engineering & Materials Science
Dynamic programming Engineering & Materials Science
Neural networks Engineering & Materials Science
Cameras Engineering & Materials Science
Experiments Engineering & Materials Science
Pixels Engineering & Materials Science
Pattern recognition Engineering & Materials Science

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Research Output 1996 2019

A Trainable Multiplication Layer for Auto-correlation and Co-occurrence Extraction

Hayashi, H. & Uchida, S., Jan 1 2019, Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, Revised Selected Papers. Jawahar, C. V., Schindler, K., Mori, G. & Li, H. (eds.). Springer Verlag, p. 414-430 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11362 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Autocorrelation
Multiplication
Neural networks
Backpropagation
Pixels

Automatic Generation of Typographic Font from Small Font Subset

Miyazaki, T., Tsuchiya, T., Sugaya, Y., Omachi, S., Iwamura, M., Uchida, S. & Kise, K., Jan 1 2019, (Accepted/In press) In : IEEE Computer Graphics and Applications.

Research output: Contribution to journalArticle

Automobile engine manifolds
Job analysis
Trajectories
Deep learning

Comic text detection using neural network approach

Rayar, F. & Uchida, S., Jan 1 2019, MultiMedia Modeling - 25th International Conference, MMM 2019, Proceedings. Huet, B., Kompatsiaris, I., Vrochidis, S., Mezaris, V., Cheng, W-H. & Gurrin, C. (eds.). Springer Verlag, p. 672-683 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11296 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neural Networks
Detectors
Neural networks
Processing
Experiments

Dynamic Weight Alignment for Temporal Convolutional Neural Networks

Iwana, B. K. & Uchida, S., May 1 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 3827-3831 5 p. 8682908. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neural networks
Convolution
Dynamic programming

Mining the displacement of max-pooling for text recognition

Zheng, Y., Iwana, B. K. & Uchida, S., Sep 1 2019, In : Pattern Recognition. 93, p. 558-569 12 p.

Research output: Contribution to journalArticle

Neural networks