Results 11 to 20 of about 210,130 (70)
Observing the Inner Shadow of a Black Hole: A Direct View of the Event Horizon [PDF]
Astrophysical Journal, 2021 Simulated images of a black hole surrounded by optically thin emission typically display two main features: a central brightness depression and a narrow “photon ring” consisting of strongly lensed images superimposed over the direct emission.
A. Chael +2 more
semanticscholar +1 more source
From Shadow Generation to Shadow Removal [PDF]
Computer Vision and Pattern Recognition, 2021 Shadow removal is a computer-vision task that aims to restore the image content in shadow regions. While almost all recent shadow-removal methods require shadow-free images for training, in ECCV 2020 Le and Samaras introduces an innovative approach ...
Zhihao Liu +5 more
semanticscholar +1 more source
CANet: A Context-Aware Network for Shadow Removal [PDF]
IEEE International Conference on Computer Vision, 2021 In this paper, we propose a novel two-stage context-aware network named CANet for shadow removal, in which the contextual information from non-shadow regions is transferred to shadow regions at the embedded feature spaces.
Zipei Chen +3 more
semanticscholar +1 more source
Classical shadow tomography with locally scrambled quantum dynamics [PDF]
Physical Review Research, 2021 We generalize the classical shadow tomography scheme to a broad class of finite-depth or finite-time local unitary ensembles, known as locally scrambled quantum dynamics, where the unitary ensemble is invariant under local basis transformations.
Hong-ye Hu, Soonwon Choi, Yi-Zhuang You
semanticscholar +1 more source
Shadow and stability of quantum-corrected black holes [PDF]
The European Physical Journal C, 2022 Recently the quantum Oppenheimer–Snyder gravitational collapse model has been proposed in loop quantum gravity, providing quantum-corrected Schwarzschild spacetimes as the exterior of the collapsing dust ball.
Jinsong Yang, Cong Zhang, Yongge Ma
semanticscholar +1 more source
First M87 Event Horizon Telescope Results. I. The Shadow of the Supermassive Black Hole [PDF]
, 2019 When surrounded by a transparent emission region, black holes are expected to reveal a dark shadow caused by gravitational light bending and photon capture at the event horizon.
The Event Horizon Telescope Collaboration
semanticscholar +1 more source
First M87 Event Horizon Telescope Results. VI. The Shadow and Mass of the Central Black Hole [PDF]
Astrophysical Journal, 2019 We present measurements of the properties of the central radio source in M87 using Event Horizon Telescope data obtained during the 2017 campaign. We develop and fit geometric crescent models (asymmetric rings with interior brightness depressions) using ...
K. Akiyama +213 more
semanticscholar +1 more source
Efficient Model-Driven Network for Shadow Removal
AAAI Conference on Artificial Intelligence, 2022 Deep Convolutional Neural Networks (CNNs) based methods have achieved significant breakthroughs in the task of single image shadow removal. However, the performance of these methods remains limited for several reasons.
Yurui Zhu +5 more
semanticscholar +1 more source
The imitation game: Proca stars that can mimic the Schwarzschild shadow [PDF]
Journal of Cosmology and Astroparticle Physics, 2021 Can a dynamically robust bosonic star (BS) produce an (effective) shadow that mimics that of a black hole (BH)? We focus on models of spherical BSs with free scalar or vector fields, as well as with polynomial or axionic self-interacting fields.
C. Herdeiro +4 more
semanticscholar +1 more source
Learning From Synthetic Shadows for Shadow Detection and Removal [PDF]
IEEE transactions on circuits and systems for video technology (Print), 2021 Shadow removal is an essential task in computer vision and computer graphics. Recent shadow removal approaches all train convolutional neural networks (CNN) on real paired shadow/shadow-free or shadow/shadow-free/mask image datasets. However, obtaining a
Naoto Inoue, T. Yamasaki
semanticscholar +1 more source