Using open source data, we observe the fascinating dynamics of nighttime light. Following a global economic regime shift, the planetary center of light can be seen moving eastwards at a pace of about 60 km per year. Introducing spatial light Gini coefficients, we find a universal pattern of human settlements across dif…
arXiv research
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Study subjective perception of low light restored images and develop an unsupervised QA model.
Classifies surfaces with zero mean curvature in a light cone.
Solves surface problem in 3D light cone.
Paper extends previous result on hypersurfaces with degenerate light-like points.
Autonomous terrestrial vehicles must be capable of perceiving traffic lights and recognizing their current states to share the streets with human drivers. Most of the time, human drivers can easily identify the relevant traffic lights. To deal with this issue, a common solution for autonomous cars is to integrate recog…
The natural topological, differentiable and geometrical structures on the space of light rays of a given spacetime are discussed. The relation between the causality properties of the original spacetime and the natural structures on the space of light rays are stressed. Finally, a symplectic geometrical approach to the …
Study light ray transform in pseudo-Euclidean space, derive inversion formula, and prove stability.
Consider a constant mean curvature immersion into an arbitrary Lorentzian -manifold . A point is called a light-like point if the first fundamental form of degenerates at . We denote by the determinant function of the symmetric matrix associate…
In this paper, we are concerned with light-like extremal surfaces in curved spacetimes. It is interesting to find that under a diffeomorphic transformation of variables, the light-like extremal surfaces can be described by a system of nonlinear geodesic equations. Particularly, we investigate the light-like extremal su…
In this paper we prove several multiplicity results of -periodic light rays in conformally stationary spacetimes using the Fermat metric and the extensions of the classical theorems of Gromoll-Meyer and Bangert-Hingston to Finsler manifolds. Moreover, we exhibit some stationary spacetimes with a finite number of …
Transformer model removes noise from light curves efficiently.
With several concrete examples of zero mean curvature surfaces in containing a light-like line recently having been found, here we construct all real analytic germs of zero mean curvature surfaces by applying the Cauchy-Kovalevski theorem for partial differential equations. A point where the first …
Predict missing and future data points in light curves using scalable Gaussian Processes.
Accelerates pulsar light curve inference with learned representations and optimization.
We introduce large scale analogues of topological monotone and light maps, which we call coarsely monotone and coarsely light maps respectively. We show that these two classes of maps constitute a factorization system on the coarse category. We also show how coarsely monotone maps arise from a reflection in a similar w…
On a time-oriented Lorentzian manifold with non-empty boundary satisfying a convexity assumption, we show that the topological, differentiable, and conformal structure of suitable subsets of sources is uniquely determined by measurements of the intersection of future light cones from points in …
We study the weighted light ray transform of integrating functions on a Lorentzian manifold over lightlike geodesics. We analyze as a Fourier Integral Operator and show that if there are no conjugate points, one can recover the spacelike singularities of a function from its the weighted light ray transform …
Injectivity result for light ray transform on Lorentzian manifolds.
Given a Lorentzian manifold, the light ray transform of a function is its integrals along null geodesics. This paper is concerned with the injectivity of the light ray transform on functions and tensors, up to the natural gauge for the problem. First, we study the injectivity of the light ray transform of a scalar func…
It is well-known that a torsion-free linear connection on a light-like manifold compatible with the degenerate metric exists if and only if is a Killing distribution. In case of existence, there is an infinitude of connections with none distinguished. We propose a method to single out connections …
Study finds nighttime lights correlate with Indian GDP growth.
New inequality shows all special submanifolds in light cone are totally umbilical spheres.
The paper shows that oval caustics have at least 4 cusps.
The paper classifies submanifolds in a specific Lorentz-Minkowski space.
The paper studies volumes of conformally flat manifolds in light-cone geometry.
Study classifies translating solitons in Minkowski 3-space, revealing singularities.
It is well-known that space-like maximal surfaces and time-like minimal surfaces in Lorentz-Minkowski 3-space R^3_1 have singularities in general. They are both characterized as zero mean curvature surfaces. We are interested in the case where the singular set consists of a light-like line, since this case has not been…
Curvature flow and inverse curvature flow solutions on 2D light cone identified.
Adds a precortical module to CNNs for improved robustness to light variations.
The study proves that certain constant mean curvature surfaces in a specific cone are either spheres or horospheres.
Study of light function singularities on surfaces.
The paper studies sections of time-like twistor spaces with specific covariant derivatives.
It is well known that any sufficiently regular one-dimensional payoff function has an explicit static hedge by bonds, forward contracts and lots of vanilla options. We show that the natural extension of the corresponding representation leads to a static hedge based on the same instruments along with traffic light optio…
Existing inefficient traffic light control causes numerous problems, such as long delay and waste of energy. To improve efficiency, taking real-time traffic information as an input and dynamically adjusting the traffic light duration accordingly is a must. In terms of how to dynamically adjust traffic signals' duration…
Models applied on real time response task, like click-through rate (CTR) prediction model, require high accuracy and rigorous response time. Therefore, top-performing deep models of high depth and complexity are not well suited for these applications with the limitations on the inference time. In order to further impro…
In this paper, we show the rigidity of isometric immersions for a Riemannian manifold of dimension into the light cone of dimensional Minkowski, de Sitter and anti-de Sitter spacetimes for .
Optical interpretation of Euler's angle problem for caustics of light rays.
A closed Riemannian manifold is said to have cross blocking if whenever distinct points p and q are at distance less than the diameter, all light rays from p can be shaded away from q with at most two point shades. Similarly, a closed Riemannian manifold is said to have sphere blocking if for each point p, all the ligh…
This study uses ARM to analyze pedestrian crashes under different lighting conditions.
Designs chiral photonic structures using machine learning for efficient optical properties.
We survey the correct definition of a generalized Dirac operator on a Space--Time and the classical result about propagation of singularities. This says that light travels along light--like geodesics. Finally we show this is also true for generalized Dirac operators.
The Large Synoptic Survey Telescope will complete its survey in 2022 and produce terabytes of imaging data each night. To work with this massive onset of data, automated algorithms to classify astronomical light curves are crucial. Here, we present a method for automated classification of photometric light curves for a…
Finet uses FBN for efficient, lightweight neural networks.
Given any smooth plane curve α(s)representing a mirror that reflects light the usual way and any radiant light source at a point in the plane, the reflected light will produce a caustic envelope. For such an envelope, we show that there is an associated curve \b{eta}(s) and a family of circles C(s) that roll on \b{eta}…
We propose an automatic method to infer high dynamic range illumination from a single, limited field-of-view, low dynamic range photograph of an indoor scene. In contrast to previous work that relies on specialized image capture, user input, and/or simple scene models, we train an end-to-end deep neural network that di…
This study identifies RwD crash patterns on rural two-lane highways under different lighting conditions.
We prove a concordance analogue of Gabai's -dimensional light bulb theorem. That is, we show that when and are homotopically (smoothly) embedded -spheres in a -manifold where has no -torsion and one of or has a transverse sphere, then and are concordant. When $π_1…