[HTML][HTML] 360-degree video for virtual place-based research: A review and research agenda

J Cinnamon, L Jahiu - Computers, Environment and Urban Systems, 2023 - Elsevier
degree video is an immersive technology used in research across academic disciplines.
This paper provides the first comprehensive review on the use of 360-degree video for …

Spherenet: Learning spherical representations for detection and classification in omnidirectional images

B Coors, AP Condurache… - Proceedings of the …, 2018 - openaccess.thecvf.com
Omnidirectional cameras offer great benefits over classical cameras wherever a wide field of
view is essential, such as in virtual reality applications or in autonomous robots …

Omnifusion: 360 monocular depth estimation via geometry-aware fusion

Y Li, Y Guo, Z Yan, X Huang… - Proceedings of the …, 2022 - openaccess.thecvf.com
A well-known challenge in applying deep-learning methods to omnidirectional images is
spherical distortion. In dense regression tasks such as depth estimation, where structural …

Saliency in VR: How do people explore virtual environments?

V Sitzmann, A Serrano, A Pavel… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Understanding how people explore immersive virtual environments is crucial for many
applications, such as designing virtual reality (VR) content, develo** new compression …

Clebsch–gordan nets: a fully fourier space spherical convolutional neural network

R Kondor, Z Lin, S Trivedi - Advances in Neural Information …, 2018 - proceedings.neurips.cc
Recent work by Cohen et al. has achieved state-of-the-art results for learning spherical
images in a rotation invariant way by using ideas from group representation theory and …

Learning representations from audio-visual spatial alignment

P Morgado, Y Li… - Advances in Neural …, 2020 - proceedings.neurips.cc
We introduce a novel self-supervised pretext task for learning representations from audio-
visual content. Prior work on audio-visual representation learning leverages …

Learning spherical convolution for fast features from 360 imagery

YC Su, K Grauman - Advances in neural information …, 2017 - proceedings.neurips.cc
While 360 cameras offer tremendous new possibilities in vision, graphics, and augmented
reality, the spherical images they produce make core feature extraction non-trivial …

Pano-avqa: Grounded audio-visual question answering on 360deg videos

H Yun, Y Yu, W Yang, K Lee… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Abstract 360deg videos convey holistic views for the surroundings of a scene. It provides
audio-visual cues beyond predetermined normal field of views and displays distinctive …

Predicting head movement in panoramic video: A deep reinforcement learning approach

M Xu, Y Song, J Wang, ML Qiao… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Panoramic video provides immersive and interactive experience by enabling humans to
control the field of view (FoV) through head movement (HM). Thus, HM plays a key role in …

Cube padding for weakly-supervised saliency prediction in 360 videos

HT Cheng, CH Chao, JD Dong… - Proceedings of the …, 2018 - openaccess.thecvf.com
Automatic saliency prediction in 360 videos is critical for viewpoint guidance applications
(eg, Facebook 360 Guide). We propose a spatial-temporal network which is (1) …