Representing Unordered Data Using Complex Weighted Multiset Automata

Unordered, variable-sized inputs arise in many settings across multiplefields . The ability for set- and multiset-oriented neural networks to handle this type of input has been the focus of much work in recent years . We propose a new theoretical andintuitive justification for the Transformer model’s representation of positions using sinusoidal functions .…

Quick or cheap Breaking points in dynamic markets

We examine two-sided markets where players arrive stochastically over time and are drawn from a continuum of types . The cost of matching a client and provider varies, so a social planner is faced with two contending objectives:a) to reduce players’ waiting time before getting matched; and b) to formefficient pairs in order to reduce matching costs .…

Let s Share A Game Theoretic Framework for Resource Sharing in Mobile Edge Clouds

Mobile edge computing seeks to provide resources to different delay-sensitive applications . There is a need for an efficient and effectivemechanism to share resources among service providers . We model resource sharing as amulti-objective optimization problem and present a solution framework based on cooperative game theory .…

Vehicle Platooning Impact on Drag Coefficients and Energy Fuel Saving Implications

In this paper, empirical data from the literature are used to develop generalpower models that capture the impact of a vehicle position, in a platoon ofhomogeneous vehicles, and the distance gap to its lead (and following) vehicle on its drag coefficient .…

Toward Optimal Adversarial Policies in the Multiplicative Learning System with a Malicious Expert

We consider a learning system based on the conventional multiplicative weight(MW) rule that combines experts’ advice to predict a sequence of true outcomes . In the offline setting where the malicious expert must choose its entire sequence of decisions a priori, we show somewhat surprisingly that asimple greedy policy of always reporting false prediction is asymptoticallyoptimal with an approximation ratio of $1+O(\sqrt{\frac{\ln N}{N)$N\$is the total number of prediction stages .…

Open Challenges and Issues Artificial Intelligence for Transactive Management

A smart energy management system,Transactive management (TM) is a concept to improve the efficiency and reliability of the power system . The advancement of Artificial Intelligence (AI) has improved the automationof energy managements . The aim of this article is to look for the current development of TM methods based on AI and Machine Learning (ML) technology .…

From Drinking Philosophers to Wandering Robots

In this paper, we consider the multi-robot path execution problem where agroup of robots move on predefined paths from their initial to target positions . We then propose modifications to an existing DrPP algorithm to allow more concurrent behavior, and provide conditions under which our method is deadlock-free .…

Single Bit Consensus with Finite Time Convergence Theory and Applications

In this brief paper, a new consensus protocol based on the sign ofinnovations is proposed . Based on this protocol each agent only requiressingle-bit of information about its relative state to its neighboring agents . This is significant in real-time applications, since it requires lesscomputation and/or communication load on agents .…

DeepFakes and Beyond A Survey of Face Manipulation and Fake Detection

Thissurvey provides a thorough review of techniques for manipulating face images including DeepFake methods . Inparticular, four types of facial manipulation are reviewed: entire facesynthesis, identity swap (DeepFakes), attribute manipulation, and expression swap . In addition to the survey information, we also discuss open issues and future trends that should be considered to advance in the field .…

DoWhy An End to End Library for Causal Inference

DoWhy is an open-source Python library that is built with causal assumptions as its first-class citizens . DoWhy implements a number of robustness checks including placebo tests, bootstrap tests, and tests for unobervedconfounding . The library is available at https://://://github.com/Microsoft/dowhy and the library is free to download from http://www.mnt.org/doWhy-why-pennifera-gui-a-libraries-to-measurement-by-mechanical-association-assumption-checker-assertions.…

Stress Testing Method for Scenario Based Testing of Automated Driving Systems

For automated driving systems (ADS) ofSAE level 3+ the scenario space is infinite and calling for virtual testing . Even in simulation, the generation of safety-relevant scenarios for ADS is expensive and time-consuming . Microscopic traffic flow simulation models (TFSM) are becoming a crucial part of scenario-based testing of ADS .…

Hints and Principles for Computer System Design

This new long version of my 1983 paper suggests the goals you might have for your system . It also gives some principles for system design that are more than just hints, and many examples of how to apply the ideas .…

An Empirical Evaluation of Bluetooth based Decentralized Contact Tracing in Crowds

Digital contact tracing is being used by many countries to help contain COVID-19’s spread in a post-lockdown world . As of October 2020, there have been millions of downloads of such Bluetooth-based contract-tracing apps, as more and more countries officially adopt them .…

Fourier based and Rational Graph Filters for Spectral Processing

Data are represented as graphs in a wide range of applications, such as Computer Vision and Graphics . We introduce a spectrum-free approach, which requires the solution of a small set of sparse, symmetric, well-conditioned linear systems . Approximating arbitrary graph filters with rational polynomials provides a more accurate andnumerically stable alternative with respect to polyomials .…

Iso Points Optimizing Neural Implicit Surfaces with Hybrid Representations

A hybrid neural surface representation allows us to imposegeometry-aware sampling and regularization . We propose to use \emph{iso-points as an explicitrepresentation for a neural implicit function . These points are computed andupdated on-the-fly during training to capture important geometric features and impose geometric constraints on the optimization .…

Deep Learning Based Human Pose Estimation A Survey

The goal of this survey paper is toprovide a comprehensive review of recent deep learning-based solutions for both 2D and 3D pose estimation . More than 240research papers since 2014 are covered in this survey . The challenges involved,applications, and future research directions are concluded .…

An Marching Cube Algorithm Based on Edge Growth

Marching Cube algorithm is currently one of the most popular 3D surface rendering algorithms . It forms cube voxels through the input image, then uses 15 basic topological configurations to extract theisosurfaces in the voxel . The algorithm first extractsseed triangles, then grows the seed triangles and reconstructs the entire 3D model .…

TopoKnit A Process Oriented Representation for Modeling the Topology of Yarns in Weft Knitted Textiles

Machine knitted textiles are complex multi-scale material structuresincreasingly important in many industries . Wepropose a process-oriented representation, TopoKnit, that defines afoundational data structure for representing the topology of weft-knittedtextiles at the yarn scale . Process space serves as an intermediary between themachine and fabric spaces, and supports a concise, computationally efficientevaluation approach based on on-demand, near constant-time queries .…

PAVEL Decorative Patterns with Packed Volumetric Elements

Ouralgorithm works by determining the locations in which to add the decorative elements and then removing the non-physical overlap between them while preserving the decoration volume . It can be used to enhance virtual surfaces, as well as 3D-printed pieces, by assembling the decorations onto real-surfacesto obtain tangible reproductions .…

Meta PU An Arbitrary Scale Upsampling Network for Point Cloud

Point cloud upsampling is vital for the quality of the mesh in three-dimensional reconstruction . The methods need to train a specific model for eachscale factor, which is both inefficient and impractical for storage and computing in real applications . We propose a novel method called “Meta-PU” to support point cloudupsampling of arbitrary scale factors with a single model .…

An all in one geometric algorithm for cutting tearing drilling deformable models

Conformal Geometric Algebra (CGA) is a framework that allows therepresentation of objects, such as points, planes and spheres, and deformations, as uniform vectors . For the first time, one may perform real-timecuts and tears as well as drill holes on a rigged 3D model .…

Azimuthal Anamorphic Ray map for Immersive Renders in Perspective

Wide choice of cinematic lenses enables motion-picture creators to adapt image visual-appearance to their creative vision . This work provides perspective imaging model that in artistically convincing manner resembles anamorphic photography lensvariety . Mathematical model for this projection has been chosen such that its parameters reflectpsycho-physiological aspects of visual perception .…

Q VR System Level Design for Future Mobile Collaborative Virtual Reality

Q-VR can achieve an average end-to-end performance speedup of 3.4x (up to6.7x) over the traditional local rendering design in commercial VR devices . At software-level, Q- VR provides flexible high-level tuning interface to reduce network latency while maintaining user perception .…

Automatic Generation of Large scale 3D Road Networks based on GIS Data

Existing method cannot automatically generate various kinds of intersections in 3D space basedon GIS data . In this paper, we propose a method to generate complex and large-scale 3D road networks automatically . We first introduce a semantic structure of road network to obtain high-detailed and well-formed networks in a 3D scene .…

Volumetric Procedural Models for Shape Representation

PSML provides programmers the ability to describe shapes in terms of their 3D elements where each element may be asemantic group of 3D objects, e.g., a brick wall, or an indivisible object,e.g. brick wall . PSML also provides a number of new language-specific capabilitiesthat allow for a rich variety of context-sensitive behaviors andpost-processing functions .…

Real time visio haptic interaction with static soft tissue model shaving geometric and material nonlinearity

A new approach allows visio-haptic interaction with a FE model of a human liver having both non-linear geometric and material properties . The material properties used in the model are extracted from the experimental data of pig liver to make the simulations more realistic .…

Engineering Sketch Generation for Computer Aided Design

Engineering sketches form the 2D basis of parametric Computer-Aided Design, the foremost modeling paradigm for manufactured objects . Wepropose two generative models, CurveGen and TurtleGen, for engineering sketchgeneration . Both models generate curve primitives without the need for a sketchconstraint solver and explicitly consider topology for downstream use with 3D CAD modeling operations .…

Reliving the Dataset Combining the Visualization of Road Users Interactions with Scenario Reconstruction in Virtual Reality

Aims to detect critical scenarios and generate knowledge from them to improve the highly automated driving (HAD) function . The scenarios are recreated in a realistic virtual reality (VR)environment, which allows for a subjective close-upanalysis from multiple,interactive perspectives . Here,arbitrary criticality measures, e.g.…

Validation of image systems simulation technology using a Cornell Box

We describe and experimentally validate an end-to-end simulation of a digital camera . The simulation models the spectral radiance of 3D-scenes, formation of the spectral irradiance by multi-element optics, and conversion of their digital values by the image sensor . We quantify the accuracy of the simulation by comparing real and simulated images of a precisely constructed, three-dimensional high dynamic range test scene .…

Software Compensation of Undesirable Racking Motion of H frame 3D Printers using Filtered B Splines

The H-frame (also known as H-Bot) architecture is a simple and elegant two-axis parallel positioning system . It holds potential for high speed and excellent dynamic performancedue to the use of frame-mounted motors that reduce the moving mass of the printer .…

SuperCaustics Real time open source simulation of transparent objects for deep learning applications

SuperCaustics is a real-time,open-source simulation of transparent objects designed for deep learning applications . It uses hardware ray-tracing to support caustics, dispersion, and refraction . The neural network achieved performance comparable to the state-of-the-art on a real world dataset using only 10% of the training data and in a fraction of training time .…

Designing Game Feel A Survey

The act of polishing that determines game feel, takes the shape of tuning, juicing, and streamlining respectively . Tuning thephysicality of game objects creates cohesion, predictability, and the resultingmovement informs many other design aspects . Juicing is the act of plishingamplification and it results in empowerment and provides clarity of feedback by communicating the importance of game events .…

Assembling a Pipeline for 3D Face Interpolation

This paper describes a pipeline built with open source tools forinterpolating 3D facial expressions taken from images . Given the input photos, corresponding 3D face models are constructed and texture-mappedusing the photos as textures aligned with facial features . Animations are thengenerated by morphing the models by interpolation of the geometries andtextures of the models .…

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Relighting Humans in the Wild Monocular Full Body Human Relighting with Domain Adaptation

The modern supervised approaches for human image relighting rely on training data generated from 3D human models . However, such datasets are often small(e.g., Light Stage data with a small number of individuals) or limited todiffuse materials . In this paper, we propose a two-stage method for single-image human relighting with domain adaptation .…

StyleAlign Analysis and Applications of Aligned StyleGAN Models

In this paper, we perform an in-depth study of the properties and applications of aligned generative models . We refer to two models as aligned if they share the same architecture, and one of them (the child) is obtained from the other (the parent) via fine-tuning to another domain .…

Volume Preserving Simulation of Soft Tissue with Skin

Standard methods employcompressible elasticity models and achieve incompressibility indirectly by setting Poisson’s ratio to be close to 0.5 . This approach can produce resultsthat are plausible qualitatively but inaccurate quantatively . To increase realism, we propose an epidermismodel to mimic the dramatically higher surface stiffness on real skinned bodies .…