716 citations · 907 across the 45 of their papers we have counts for
13 papers · 1 filter
Handwriting Prediction Considering Inter-Class Bifurcation Structures
Masaki Yamagata, Hideaki Hayashi, Seiichi Uchida
Temporal prediction is a still difficult task due to the chaotic behavior, non-Markovian characteristics, and non-stationary noise of temporal signals. Handwriting prediction is al…
AAA: Adaptive Aggregation of Arbitrary Online Trackers with Theoretical Performance Guarantee
Heon Song, Daiki Suehiro, Seiichi Uchida
For visual object tracking, it is difficult to realize an almighty online tracker due to the huge variations of target appearance depending on an image sequence. This paper propose…
What is the Reward for Handwriting? -- Handwriting Generation by Imitation Learning
Keisuke Kanda, Brian Kenji Iwana, Seiichi Uchida
Analyzing the handwriting generation process is an important issue and has been tackled by various generation models, such as kinematics based models and stochastic models. In this…
Label or Message: A Large-Scale Experimental Survey of Texts and Objects Co-Occurrence
Koki Takeshita, Juntaro Shioyama, Seiichi Uchida
Our daily life is surrounded by textual information. Nowadays, the automatic collection of textual information becomes possible owing to the drastic improvement of scene text detec…
An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks
Brian Kenji Iwana, Seiichi Uchida
In recent times, deep artificial neural networks have achieved many successes in pattern recognition. Part of this success can be attributed to the reliance on big data to increase…
On the Ability of a CNN to Realize Image-to-Image Language Conversion
Kohei Baba, Seiichi Uchida, Brian Kenji Iwana
The purpose of this paper is to reveal the ability that Convolutional Neural Networks (CNN) have on the novel task of image-to-image language conversion. We propose a new network t…