99 citations · 155 across the 19 of their papers we have counts for
31 papers
Non-uniform Sampling Strategies for NeRF on 360{\textdegree} images
Takashi Otonari, Satoshi Ikehata, Kiyoharu Aizawa
In recent years, the performance of novel view synthesis using perspective images has dramatically improved with the advent of neural radiance fields (NeRF). This study proposes tw…
Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation
Atsuyuki Miyai, Qing Yu, Daiki Ikami +2
Rotation is frequently listed as a candidate for data augmentation in contrastive learning but seldom provides satisfactory improvements. We argue that this is because the rotated…
Universal Deep Image Compression via Content-Adaptive Optimization with Adapters
Koki Tsubota, Hiroaki Akutsu, Kiyoharu Aizawa
Deep image compression performs better than conventional codecs, such as JPEG, on natural images. However, deep image compression is learning-based and encounters a problem: the co…
Saliency-based Multiple Region of Interest Detection from a Single 360° image
Yuuki Sawabe, Satoshi Ikehata, Kiyoharu Aizawa
360° images are informative -- it contains omnidirectional visual information around the camera. However, the areas that cover a 360° image is much larger than the human's field of…
Distortion-Aware Self-Supervised 360° Depth Estimation from A Single Equirectangular Projection Image
Yuya Hasegawa, Ikehata Satoshi, Kiyoharu Aizawa
360° images are widely available over the last few years. This paper proposes a new technique for single 360° image depth prediction under open environments. Depth prediction from…
NTIRE 2021 Challenge on Perceptual Image Quality Assessment
Jinjin Gu, Haoming Cai, Chao Dong +47
This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (…