Multi-Scale Estimation for Omni-Directional Saliency Maps Using Learnable Equator Bias

1 code implementation • 15 Sep 2023 • Takao Yamanaka, Tatsuya Suzuki, Taiki Nobutsune, Chenjunlin Wu

This paper proposes a novel saliency-map estimation model for the omni-directional images by extracting overlapping 2-dimensional (2D) plane images from omni-directional images at various directions and angles of view.

Autonomous Vehicle-to-Grid Design for Provision of Frequency Control Ancillary Service and Distribution Voltage Regulation

no code implementations • 26 Jan 2021 • Shota Yumiki, Yoshihiko Susuki, Yuta Oshikubo, Yutaka Ota, Ryo Masegi, Akihiko Kawashima, Atsushi Ishigame, Shinkichi Inagaki, Tatsuya Suzuki

We develop a system-level design for the provision of Ancillary Service (AS) for control of electric power grids by in-vehicle batteries, suitably applied to Electric Vehicles (EVs) operated in a sharing service.

energy management Management

Saliency Map Estimation for Omni-Directional Image Considering Prior Distributions

1 code implementation • 17 Jul 2018 • Tatsuya Suzuki, Takao Yamanaka

In recent years, the deep learning techniques have been applied to the estimation of saliency maps, which represent probability density functions of fixations when people look at the images.