4 citations · 4 across the 1 of their papers we have counts for
3 papers
ChartPointFlow for Topology-Aware 3D Point Cloud Generation
Takumi Kimura, Takashi Matsubara, Kuniaki Uehara
A point cloud serves as a representation of the surface of a three-dimensional (3D) shape. Deep generative models have been adapted to model their variations typically using a map…
Exploring Uncertainty Measures for Image-Caption Embedding-and-Retrieval Task
Kenta Hama, Takashi Matsubara, Kuniaki Uehara +1
With the wide development of black-box machine learning algorithms, particularly deep neural network (DNN), the practical demand for the reliability assessment is rapidly rising. O…
Deep Generative Model using Unregularized Score for Anomaly Detection with Heterogeneous Complexity
Takashi Matsubara, Kenta Hama, Ryosuke Tachibana +1
Accurate and automated detection of anomalous samples in a natural image dataset can be accomplished with a probabilistic model for end-to-end modeling of images. Such images have…