3 citations · 5 across the 9 of their papers we have counts for
9 papers
2S-ODIS: Two-Stage Omni-Directional Image Synthesis by Geometric Distortion Correction
Atsuya Nakata, Takao Yamanaka
Omni-directional images have been increasingly used in various applications, including virtual reality and SNS (Social Networking Services). However, their availability is comparat…
Multi-Scale Estimation for Omni-Directional Saliency Maps Using Learnable Equator Bias
Takao Yamanaka, Tatsuya Suzuki, Taiki Nobutsune +1
Omni-directional images have been used in wide range of applications. For the applications, it would be useful to estimate saliency maps representing probability distributions of g…
Increasing diversity of omni-directional images generated from single image using cGAN based on MLPMixer
Atsuya Nakata, Ryuto Miyazaki, Takao Yamanaka
This paper proposes a novel approach to generating omni-directional images from a single snapshot picture. The previous method has relied on the generative adversarial networks bas…
Improving NeRF with Height Data for Utilization of GIS Data
Hinata Aoki, Takao Yamanaka
Neural Radiance Fields (NeRF) has been applied to various tasks related to representations of 3D scenes. Most studies based on NeRF have focused on a small object, while a few stud…
Improving Translation Invariance in Convolutional Neural Networks with Peripheral Prediction Padding
Kensuke Mukai, Takao Yamanaka
Zero padding is often used in convolutional neural networks to prevent the feature map size from decreasing with each layer. However, recent studies have shown that zero padding pr…
Omni-Directional Image Generation from Single Snapshot Image
Keisuke Okubo, Takao Yamanaka
An omni-directional image (ODI) is the image that has a field of view covering the entire sphere around the camera. The ODIs have begun to be used in a wide range of fields such as…
LPM: Learnable Pooling Module for Efficient Full-Face Gaze Estimation
Reo Ogusu, Takao Yamanaka
Gaze tracking is an important technology in many domains. Techniques such as Convolutional Neural Networks (CNN) has allowed the invention of gaze tracking method that relies only…
Influence of Image Classification Accuracy on Saliency Map Estimation
Taiki Oyama, Takao Yamanaka
Saliency map estimation in computer vision aims to estimate the locations where people gaze in images. Since people tend to look at objects in images, the parameters of the model p…
Saliency Map Estimation for Omni-Directional Image Considering Prior Distributions
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 t…