[HTML][HTML] 360-degree video for virtual place-based research: A review and research agenda
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 …
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 …
view is essential, such as in virtual reality applications or in autonomous robots …
Omnifusion: 360 monocular depth estimation via geometry-aware fusion
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 …
spherical distortion. In dense regression tasks such as depth estimation, where structural …
Saliency in VR: How do people explore virtual environments?
Understanding how people explore immersive virtual environments is crucial for many
applications, such as designing virtual reality (VR) content, develo** new compression …
applications, such as designing virtual reality (VR) content, develo** new compression …
Clebsch–gordan nets: a fully fourier space spherical convolutional neural network
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 …
images in a rotation invariant way by using ideas from group representation theory and …
Learning representations from audio-visual spatial alignment
We introduce a novel self-supervised pretext task for learning representations from audio-
visual content. Prior work on audio-visual representation learning leverages …
visual content. Prior work on audio-visual representation learning leverages …
Learning spherical convolution for fast features from 360 imagery
While 360 cameras offer tremendous new possibilities in vision, graphics, and augmented
reality, the spherical images they produce make core feature extraction non-trivial …
reality, the spherical images they produce make core feature extraction non-trivial …
Pano-avqa: Grounded audio-visual question answering on 360deg videos
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 …
audio-visual cues beyond predetermined normal field of views and displays distinctive …
Predicting head movement in panoramic video: A deep reinforcement learning approach
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 …
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
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) …
(eg, Facebook 360 Guide). We propose a spatial-temporal network which is (1) …