125 citations · 206 across the 6 of their papers we have counts for
6 papers
Character-level Japanese Text Generation with Attention Mechanism for Chest Radiography Diagnosis
Kenya Sakka, Kotaro Nakayama, Nisei Kimura +6
Chest radiography is a general method for diagnosing a patient's condition and identifying important information; therefore, radiography is used extensively in routine medical prac…
Improving Bi-directional Generation between Different Modalities with Variational Autoencoders
Masahiro Suzuki, Kotaro Nakayama, Yutaka Matsuo
We investigate deep generative models that can exchange multiple modalities bi-directionally, e.g., generating images from corresponding texts and vice versa. A major approach to a…
Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection
Mohammadamin Barekatain, Miquel Martí, Hsueh-Fu Shih +4
Despite significant progress in the development of human action detection datasets and algorithms, no current dataset is representative of real-world aerial view scenarios. We pres…
Neural Machine Translation with Latent Semantic of Image and Text
Joji Toyama, Masanori Misono, Masahiro Suzuki +2
Although attention-based Neural Machine Translation have achieved great success, attention-mechanism cannot capture the entire meaning of the source sentence because the attention…
Generative Adversarial Nets from a Density Ratio Estimation Perspective
Masatoshi Uehara, Issei Sato, Masahiro Suzuki +2
Generative adversarial networks (GANs) are successful deep generative models. GANs are based on a two-player minimax game. However, the objective function derived in the original m…
Joint Multimodal Learning with Deep Generative Models
Masahiro Suzuki, Kotaro Nakayama, Yutaka Matsuo
We investigate deep generative models that can exchange multiple modalities bi-directionally, e.g., generating images from corresponding texts and vice versa. Recently, some studie…