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Intelligent Wide-band Spectrum ClassifierApr 12 2019We introduce a new technique for narrow-band (NB) signal classification in sparsely populated wide-band (WB) spectrum using supervised learning approach. For WB spectrum acquisition, Nyquist rate sampling is required at the receiver's analog-to-digital ... More

Analysis of Distributed Congestion Control in Cellular Vehicle-to-everything NetworksMar 29 2019Cellular Vehicle-to-everything (C-V2X) communication has been proposed in the 3rd Generation Partnership Project release 14 standard to address the latency and reliability requirements of cooperative safety applications. Such applications can involve ... More

A Learning-Based Framework for Two-Dimensional Vehicle Maneuver Prediction over V2V NetworksAug 01 2018Situational awareness in vehicular networks could be substantially improved utilizing reliable trajectory prediction methods. More precise situational awareness, in turn, results in notably better performance of critical safety applications, such as Forward ... More

MNIST Dataset Classification Utilizing k-NN Classifier with Modified Sliding-window MetricSep 18 2018Nov 16 2018The MNIST dataset of the handwritten digits is known as one of the commonly used datasets for machine learning and computer vision research. We aim to study a widely applicable classification problem and apply a simple yet efficient K-nearest neighbor ... More

A Driver Behavior Modeling Structure Based on Non-parametric Bayesian Stochastic Hybrid ArchitectureJul 11 2018Heterogeneous nature of the vehicular networks, which results from the co-existence of human-driven, semi-automated, and fully autonomous vehicles, is a challenging phenomenon toward the realization of the intelligent transportation systems with an acceptable ... More

Controlling Steering Angle for Cooperative Self-driving Vehicles utilizing CNN and LSTM-based Deep NetworksApr 08 2019A fundamental challenge in autonomous vehicles is adjusting the steering angle at different road conditions. Recent state-of-the-art solutions addressing this challenge include deep learning techniques as they provide end-to-end solution to predict steering ... More

Controlling Steering Angle for Cooperative Self-driving Vehicles utilizing CNN and LSTM-based Deep NetworksApr 08 2019Apr 19 2019A fundamental challenge in autonomous vehicles is adjusting the steering angle at different road conditions. Recent state-of-the-art solutions addressing this challenge include deep learning techniques as they provide end-to-end solution to predict steering ... More

A Stochastic Hybrid Framework for Driver Behavior Modeling Based on Hierarchical Dirichlet ProcessNov 15 2017Jul 11 2018Scalability is one of the major issues for real-world Vehicle-to-Vehicle network realization. To tackle this challenge, a stochastic hybrid modeling framework based on a non-parametric Bayesian inference method, i.e., hierarchical Dirichlet process (HDP), ... More

V2X System Architecture Utilizing Hybrid Gaussian Process-based Model StructuresMar 04 2019Mar 06 2019Scalable communication is of utmost importance for reliable dissemination of time-sensitive information in cooperative vehicular ad-hoc networks (VANETs), which is, in turn, an essential prerequisite for the proper operation of the critical cooperative ... More

A Learning-based Stochastic MPC Design for Cooperative Adaptive Cruise Control to Handle Interfering VehiclesFeb 26 2018Vehicle to Vehicle (V2V) communication has a great potential to improve reaction accuracy of different driver assistance systems in critical driving situations. Cooperative Adaptive Cruise Control (CACC), which is an automated application, provides drivers ... More

Parameter estimation based on cumulative Kullback-Leibler divergenceJun 29 2016In this paper, we propose some estimators for the parameters of a statistical model based on Kullback-Leibler divergence of the survival function in continuous setting. We prove that the proposed estimators are subclass of "generalized estimating equations" ... More

Adaptive Content Control for Communication amongst Cooperative Automated VehiclesSep 15 2014Cooperative automated vehicles exchange information to assist each other in creating a more precise and extended view of their surroundings, with the aim of improving automated-driving decisions. This paper addresses the need for scalable communication ... More

V2X System Architecture Utilizing Hybrid Gaussian Process-based Model StructuresMar 04 2019Scalable communication is of utmost importance for reliable dissemination of time-sensitive information in cooperative vehicular ad-hoc networks (VANETs), which is, in turn, an essential prerequisite for the proper operation of the critical cooperative ... More

Implementation and Evaluation of a Cooperative Vehicle-to-Pedestrian Safety ApplicationAug 01 2018While the development of Vehicle-to-Vehicle (V2V) safety applications based on Dedicated Short-Range Communications (DSRC) has been extensively undergoing standardization for more than a decade, such applications are extremely missing for Vulnerable Road ... More

Composite α-μ Based DSRC Channel Model Using Large Data Set of RSSI MeasurementsAug 01 2018Channel modeling is essential for design and performance evaluation of numerous protocols in vehicular networks. In this work, we study and provide results for largescale and small-scale modeling of communication channel in dense vehicular networks. We ... More

Multiple Access in Cellular V2X: Performance Analysis in Highly Congested Vehicular NetworksSep 07 2018Oct 27 2018Vehicle-to-everything (V2X) communication enables vehicles, roadside vulnerable users, and infrastructure facilities to communicate in an ad-hoc fashion. Cellular V2X (C-V2X), which was introduced in the 3rd generation partnership project (3GPP) release ... More

Monocular Total Capture: Posing Face, Body, and Hands in the WildDec 04 2018We present the first method to capture the 3D total motion of a target person from a monocular view input. Given an image or a monocular video, our method reconstructs the motion from body, face, and fingers represented by a 3D deformable mesh model. ... More

Cyclicity in weighted Bergman type spacesApr 03 2013We use the so called resolvent transform method to study the cyclicity of the one point mass singular inner function in weighted Bergman type spaces.

Cantor sets and cyclicity in weighted Dirichlet spacesJan 27 2010We treat the problem of characterizing the cyclic vectors in the weighted Dirichlet spaces, extending some of our earlier results in the classical Dirichlet space. The absence of a Carleson-type formula for weighted Dirichlet integrals necessitates the ... More

Safety experiments for small robots investigating the potential of soft materials in mitigating the harm to the head due to impactsApr 21 2019There is a growing interest in social robots to be considered in the therapy of children with autism due to their effectiveness in improving the outcomes. However, children on the spectrum exhibit challenging behaviors that need to be considered when ... More

Pricing American Call Options by the Black-Scholes Equation with a Nonlinear Volatility FunctionJul 02 2017Jun 13 2018In this paper we investigate a nonlinear generalization of the Black-Scholes equation for pricing American style call options in which the volatility term may depend on the underlying asset price and the Gamma of the option. We propose a numerical method ... More

Nowcasting Recessions using the SVM Machine Learning AlgorithmFeb 17 2019We introduce a novel application of Support Vector Machines (SVM), an important Machine Learning algorithm, to determine the beginning and end of recessions in real time. Nowcasting, "forecasting" a condition about the present time because the full information ... More

Open Research Knowledge Graph: Towards Machine Actionability in Scholarly CommunicationJan 30 2019Despite improved digital access to scientific publications in the last decades, the fundamental principles of scholarly communication remain unchanged and continue to be largely document-based. The document-oriented workflows in science publication have ... More

Modeling Colors of Single Attribute Variations with Application to Food AppearanceDec 18 2015This paper considers the intra-image color-space of an object or a scene when these are subject to a dominant single-source of variation. The source of variation can be intrinsic or extrinsic (i.e., imaging conditions) to the object. We observe that the ... More

A cheap data assimilation approach for expensive numerical simulationsOct 11 2016Using a very cheap Data Assimilation (DA) method, I show an alternative approach to classical DA for numerical climate models which produce a large amount of "big data". The problematic features of state-of-the-art high resolution Regional Climate Models ... More

Astrophysical and cosmological doomsdaysMay 21 2014In this dissertation we study two well known gravitational scenarios in which singularities may appear; the final state of gravitational collapse and the late time evolution of the universe. In the first scenario, we study a spherically symmetric space-time ... More

Panoptic Studio: A Massively Multiview System for Social Interaction CaptureDec 09 2016We present an approach to capture the 3D motion of a group of people engaged in a social interaction. The core challenges in capturing social interactions are: (1) occlusion is functional and frequent; (2) subtle motion needs to be measured over a space ... More

On the Simulation of Single Electron Transport in a Strongly Disordered MediumJul 15 2016Mesoscopic modeling of electron transport in disordered organic and inorganic materials is based on the many-particle Monte-Carlo simulation. The main disadvantage of this method is that the simulation becomes significantly slower by increasing electron ... More

On the Simulation of Single Electron Transport in a Strongly Disordered MediumJul 15 2016Nov 10 2016Mesoscopic simulations of electron transport in disordered materials are based on the many particle Monte-Carlo (MC) methods. One of the major disadvantages of the multi-electron MC modeling is that the simulation process becomes significantly slow as ... More

Breaking the Legend: Maxmin Fairness notion is no longer effectiveJun 19 2010In this paper we analytically propose an alternative approach to achieve better fairness in scheduling mechanisms which could provide better quality of service particularly for real time application. Our proposal oppose the allocation of the bandwidth ... More

Chaotic trigonometric Haar wavelet with focus on image encryptionDec 31 2014Apr 08 2016In this paper, after reviewing the main points of Haar wavelet transform and chaotic trigonometric maps, we introduce a new perspective of Haar wavelet transform. The essential idea of the paper is given linearity properties of the scaling function of ... More

Breaking the Legend: Maxmin Fairness notion is no longer effectiveAug 11 2010In this paper we analytically propose an alternative approach to achieve better fairness in scheduling mechanisms which could provide better quality of service particularly for real time application. Our proposal oppose the allocation of the bandwidth ... More

A Way Memoization Technique for Reducing Power Consumption of Caches in Application Specific Integrated ProcessorsOct 25 2007This paper presents a technique for eliminating redundant cache-tag and cache-way accesses to reduce power consumption. The basic idea is to keep a small number of Most Recently Used (MRU) addresses in a Memory Address Buffer (MAB) and to omit redundant ... More

Top pair Asymmetries at Hadron colliders with general $Z'$ couplingsJul 03 2012Dec 22 2012Recently it has been shown that measurement of charge asymmetry of top pair production at LHC excludes any flavor violating $Z'$ vector gauge boson that could explain Tevatron forward-backward asymmetry (FBA). We consider the general form of a $Z'$ gauge ... More

A characterization of 2-dimensional Cayley graphs on dihedral groupsJan 29 2017In this paper we characterize all of Cayley graphs on dihedral groups with metric dimension two.

Quantum effects of massive modes in a cosmological quantum space-timeNov 27 2015The quantum theory of a massive, minimally coupled scalar field on an isotropic cosmological quantum space-time is revisited. The interplay between the quantum background and the massive modes of the field, when disregarding their back-reaction effects, ... More

A Performance Analysis for UMTS Packet Switched Network Based on Multivariate KPISMar 29 2010Mobile data services are penetrating mobile markets rapidly. The mobile industry relies heavily on data service to replace the traditional voice services with the evolution of the wireless technology and market. A reliable packet service network is critical ... More

AMR Parsing using Stack-LSTMsJul 24 2017Aug 02 2017We present a transition-based AMR parser that directly generates AMR parses from plain text. We use Stack-LSTMs to represent our parser state and make decisions greedily. In our experiments, we show that our parser achieves very competitive scores on ... More

Electronic Energy Transfer: Localized Operator Partitioning of Electronic Energy in Composite Quantum SystemsAug 29 2012A Hamiltonian based approach using spatially localized projection operators is introduced to give precise meaning to the chemically intuitive idea of the electronic energy on a quantum subsystem. This definition facilitates the study of electronic energy ... More

Properties of modules with zero delta invariantNov 11 2018Nov 22 2018Let $R$ be a Cohen-Macaulay local ring, $I$ a strongly Cohen-Macaulay ideal of $R$. It is shown that there exists a Cohen-Macaulay ideal $J$ of $R$ such that the $\delta_{R/J}$-invariant of all Koszul homologies of $R$ with respect $I$ is zero. Also we ... More

The impact of cell site re-homing on the performance of umts core networksMar 30 2010Mobile operators currently prefer optimizing their radio networks via re-homing or cutting over the cell sites in 2G or 3G networks. The core network, as the parental part of radio network, is inevitably impacted by the re-homing in radio domain. This ... More

Creation of particles in a cyclic universe driven by loop quantum cosmologyDec 02 2014May 22 2015We consider an isotropic and homogeneous universe in loop quantum cosmology. We assume that the matter content of the universe is dominated by dust matter in early time and a phantom matter at late time which constitutes the dark energy component. The ... More

Deep Relative AttributesDec 13 2015Sep 13 2016Visual attributes are great means of describing images or scenes, in a way both humans and computers understand. In order to establish a correspondence between images and to be able to compare the strength of each property between images, relative attributes ... More

Semiclassical dynamics of horizons in spherically symmetric collapseMar 25 2013Apr 30 2014In this work, we consider a semiclassical description of the spherically symmetric gravitational collapse with a massless scalar field. In particular, we employ an effective scenario provided by holonomy corrections from loop quantum gravity, to the homogeneous ... More

Majorana Zero Modes in Superconducting Proximity-coupled Magnetic Domain WallMar 23 2016We propose a simple model consisting of a magnetic domain wall proximity-coupled to an $s$-wave superconductor for realization of Majorana zero-energy modes. A spin-dependent gauge transformation translates the rotating magnetic profile through the domain ... More

Footprint of Triplet Scalar Dark Matter in Direct, Indirect Search and Invisible Higgs DecayJan 25 2015In this talk, we will review Inert Triplet Model (ITM) which provide candidate for dark matter (DM) particles. Then we study possible decays of Higgs boson to DM candidate and apply current experimental data for invisible Higgs decay to constrain parameter ... More

Genetic Algorithm-based Mapper to Support Multiple Concurrent Users on Wireless TestbedsSep 18 2016Communication and networking research introduces new protocols and standards with an increasing number of researchers relying on real experiments rather than simulations to evaluate the performance of their new protocols. A number of testbeds are currently ... More

Dynamics of apparent horizons in quantum gravitational collapseJun 14 2013We study the gravitational collapse of a massless scalar field within the effective scenario of loop quantum gravity. Classical singularity is avoided and replaced by a quantum bounce in this model. It is shown that, quantum gravity effects predict a ... More

Attention-based Vocabulary Selection for NMT DecodingJun 12 2017Neural Machine Translation (NMT) models usually use large target vocabulary sizes to capture most of the words in the target language. The vocabulary size is a big factor when decoding new sentences as the final softmax layer normalizes over all possible ... More

PixelNN: Example-based Image SynthesisAug 17 2017We present a simple nearest-neighbor (NN) approach that synthesizes high-frequency photorealistic images from an "incomplete" signal such as a low-resolution image, a surface normal map, or edges. Current state-of-the-art deep generative models designed ... More

On interplay between the Frobenius functor and its dualMar 13 2019For a commutative Noetherian ring $R$ of prime characteristic, denote by $^{f}R$ the ring $R$ with the left structure given by the Frobenius map. We develop Thomas Marley's work on the property of the Frobenius functor $\F(-) = - \otimes_R {^f}R$ and ... More

Weakly Supervised Action Segmentation Using Mutual ConsistencyApr 05 2019Action segmentation is the task of predicting the actions in each frame of a video. Because of the high cost of preparing training videos with full supervision for action segmentation, weakly supervised approaches which are able to learn only from transcripts ... More

An Algorithm for Sparsity Promoting Interpolation of Graph SignalsJul 22 2016Sep 12 2016This paper considers the problem of interpolating signals defined on graphs. A major presumption considered by many previous approaches to this problem has been low-pass/band-limitedness of the underlying graph signal. However, inspired by the findings ... More

An Iterative Thresholding Algorithm for Sparsity Promoting Interpolation of Graph SignalsJul 22 2016Oct 11 2016This paper considers the problem of interpolating signals defined on graphs. A major presumption considered by many previous approaches to this problem has been low-pass/band-limitedness of the underlying graph signal. However, inspired by the findings ... More

Lorentz Symmetry in QFT on Quantum Bianchi I Space-TimeJul 03 2012Oct 25 2012We develop the quantum theory of a scalar field on LQC Bianchi I geometry. In particular, we focus on single modes of the field: the evolution equation is derived from the quantum scalar constraint, and it is shown that the same equation can be obtained ... More

An Efficient Approach Toward the Asymptotic Analysis of Node-Based Recovery Algorithms in Compressed SensingJan 13 2010In this paper, we propose a general framework for the asymptotic analysis of node-based verification-based algorithms. In our analysis we tend the signal length $n$ to infinity. We also let the number of non-zero elements of the signal $k$ scale linearly ... More

Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and BodiesJan 05 2018We present a unified deformation model for the markerless capture of multiple scales of human movement, including facial expressions, body motion, and hand gestures. An initial model is generated by locally stitching together models of the individual ... More

Constraining Inert Triplet Dark Matter by the LHC and FermiLATAug 04 2014Oct 15 2014We study collider phenomenology of inert triplet scalar dark matter at the LHC. We discuss possible decay of Higgs boson to dark matter candidate and apply current experimental data for invisible Higgs decay and $R_{\gamma\gamma}$ to constrain parameter ... More

Image Encryption Based On Gradient Haar Wavelet and Rational Order Chaotic MapsApr 08 2016Haar wavelet is one of the best mathematical tools in image cryptography and analysis. Because of the specific structure, this wavelet has the ability which is combined with other mathematical tools such as chaotic maps. The rational order chaotic maps ... More

Impact of Torsion Space-Time on $t\bar{t}$ observables at Hadron CollidersJan 22 2013Apr 23 2013Starting from the effective torsion space-time model, we study its effects on the top pair production cross section at hadron colliders. We also study the effect of this model on top pair asymmetries at the Tevatron and the LHC. We find that torsion space-time ... More

The s-Channel Single Top Quark Production as a Constraint for $W'$ Boson ContributionJul 22 2017An analysis is performed to constrain the $W'$ boson production using the measurement of the s-channel single top quark production cross section. Both phenomenological and statistical approaches are examined and results are presented. In the best case, ... More

Survey on the Event Orderings Semantics Used for Distributed SystemJun 07 2010Event ordering in distributed system (DS) is disputable and proactive subject in DS particularly with the emergence of multimedia synchronization. According to the literature, different type of event ordering is used for different DS mode such as asynchronous ... More

Locating Disruptions on Internet Paths through End-to-End MeasurementsSep 23 2012In backbone networks carrying heavy traffic loads, unwanted and unusual end-to-end delay changes can happen, though possibly rarely. In order to understand and manage the network to potentially avoid such abrupt changes, it is crucial and challenging ... More

Multidimensional Lévy White Noises in Weighted Besov SpacesMar 04 2016In this paper, we study the Besov regularity of d-dimensional L\'evy white noises. More precisely, we describe new sample paths properties of a given white noise in terms of weighted Besov spaces. In particular, the smoothness and integrability properties ... More

On the Brown--Shields conjecture for cyclicity in the Dirichlet spaceSep 26 2008Let $\cD$ be the Dirichlet space, namely the space of holomorphic functions on the unit disk whose derivative is square-integrable. We establish a new sufficient condition for a function $f\in\cD$ to be {\em cyclic}, i.e. for $\{pf: p\text{a polynomial}\}$ ... More

S-Restricted Compositions RevisitedJun 25 2016An S-restricted composition of a positive integer n is an ordered partition of n where each summand is drawn from a given subset S of positive integers. There are various problems regarding such compositions which have received attention in recent years. ... More

Cyclicity and invariant subspaces in the Dirichlet spacesNov 18 2014Feb 12 2016Let $\mu$ be a positive finite measure on the unit circle and $\mathcal{D} (\mu)$ the associated Dirichlet space. The generalized Brown-Shields conjecture asserts that an outer function $f \in \mathcal{D} (\mu )$ is cyclic if and only if $c\_\mu (Z (f))= ... More

An Inverse Optimality Method to Solve a Class of Optimal Control ProblemsFeb 15 2010Oct 10 2011This paper presents an inverse optimality method to solve the Hamilton-Jacobi-Bellman equation for a class of nonlinear problems for which the cost is quadratic and the dynamics are affine in the input. The method is inverse optimal because the running ... More

Emergence of global scaling behaviour in the coupled Earth-atmosphere interactionSep 27 2016Scale invariance property in the global geometry of Earth may lead to a coupled interactive behaviour between various components of the climate system. One of the most interesting correlations exists between spatial statistics of the global topography ... More

Investigating the peculiar emission from the new VHE gamma-ray source H1722+119Mar 21 2016Sep 30 2016The MAGIC (Major Atmospheric Gamma-ray Imaging Cherenkov) telescopes observed the BL Lac object H1722+119 (redshift unknown) for six consecutive nights between 2013 May 17 and 22, for a total of 12.5 h. The observations were triggered by high activity ... More

Sampling and Distortion Tradeoffs for Indirect Source RetrievalJun 17 2016In this paper, we study the problem of indirect or remote reconstruction of a continuous signal that cannot be observed directly. Instead, one has access to multiple corrupted versions of the signal. The available corrupted signals are correlated because ... More

Ideaux fermes d'algebres de Beurling analytiques sur le bidisqueFeb 06 2008We study the closed ideal in the Beurling algebras $\mathcal{A}^{+}_{\alpha,\beta}$ of holomorphic function $f$ in the bidisc such that $\sum_{n,m\geq 0}|\hat{f}(n,m)|(1+n)^{\alpha}(1+m)^\beta<+\infty$. We determine the function $f\in\mathcal{A}^{+}_{\alpha,\beta}$ ... More

Kernel estimate and capacity in Dirichlet type spacesNov 04 2014Let $\mu$ be a positive finite measure on the unit circle. The Dirichlet type space $\mathcal{D}(\mu)$, associated to $\mu$, consists of holomorphic functions on the unit disc whose derivatives are square integrable when weighted against the Poisson integral ... More

Cyclicity of singular inner functions from the corona theoremDec 28 2010Carleson's corona theorem is used to obtain two results on cyclicity of singular inner functions in weighted Bergman-type spaces on the unit disk. Our method proof requires no regularity conditions on the weights.

Portfolio Optimization with Entropic Value-at-RiskAug 18 2017The entropic value-at-risk (EVaR) is a new coherent risk measure, which is an upper bound for both the value-at-risk (VaR) and conditional value-at-risk (CVaR). As important properties, the EVaR is strongly monotone over its domain and strictly monotone ... More

Specifying The Auslander transpose in submodule category and its applicationsAug 22 2018Let $(R, \m)$ be a $d$-dimensional commutative noetherian local ring. Let $\M$ denote the morphism category of finitely generated $R$-modules and let $\Sc$ be the submodule category of $\M$. In this paper, we specify the Auslander transpose in submodule ... More

Public key Steganography Using Discrete Cross-Coupled Chaotic MapsNov 01 2012By cross-coupling two logistic maps a novel method is proposed for the public key steganography in JPEG image. Chaotic maps entail high complexity in the used algorithm for embedding secret data in a medium. In this paper, discrete cross- coupled chaotic ... More

How useful is photo-realistic rendering for visual learning?Mar 26 2016Sep 08 2016Data seems cheap to get, and in many ways it is, but the process of creating a high quality labeled dataset from a mass of data is time-consuming and expensive. With the advent of rich 3D repositories, photo-realistic rendering systems offer the opportunity ... More

Improved dynamics and gravitational collapse of tachyon field coupled with a barotropic fluidAug 22 2013Jan 15 2015We consider a spherically symmetric gravitational collapse of a tachyon field with an inverse square potential, which is coupled with a barotropic fluid. By employing an holonomy correction imported from loop quantum cosmology, we analyse the dynamics ... More

Quantum field theory on LQC Bianchi spacetimesMay 20 2013Quantum theory of a scalar field is developed on the LQC Bianchi I space-time. By comparing the the quantum field theory for a single mode on classical and quantum background geometries we find that an effective Bianchi I space-time emerges. We show that ... More

Analysis and Design of Irregular Graphs for Node-Based Verification-Based Recovery Algorithms in Compressed SensingApr 23 2012In this paper, we present a probabilistic analysis of iterative node-based verification-based (NB-VB) recovery algorithms over irregular graphs in the context of compressed sensing. Verification-based algorithms are particularly interesting due to their ... More

Measurement of the Extragalactic Background Light using MAGIC and Fermi-LAT gamma-ray observations of blazars up to z = 1Mar 30 2019We present a measurement of the extragalactic background light (EBL) based on a joint likelihood analysis of 32 gamma-ray spectra for 12 blazars in the redshift range z = 0.03 to 0.944, obtained by the MAGIC telescopes and Fermi-LAT. The EBL is the part ... More

Probing Nonlocal Effects in Metals with Graphene PlasmonsApr 17 2018Apr 19 2018In this paper we analyze the effects of nonlocality on the optical properties of a system consisting of a thin metallic film separated from a graphene sheet by a hexagonal boron nitride (hBN) layer. We show that nonlocal effects in the metal have a strong ... More

Realtime Multi-Person 2D Pose Estimation using Part Affinity FieldsNov 24 2016We present a realtime approach for multi-person 2D pose estimation that predicts vector fields, which we refer to as Part Affinity Fields (PAFs), that directly expose the association between anatomical parts in an image. The architecture is designed to ... More

Density Evolution Analysis of Node-Based Verification-Based Algorithms in Compressive SensingApr 01 2011In this paper, we present a new approach for the analysis of iterative node-based verification-based (NB-VB) recovery algorithms in the context of compressive sensing. These algorithms are particularly interesting due to their low complexity (linear in ... More

Capture Dense: Markerless Motion Capture Meets Dense Pose EstimationDec 05 2018Dec 11 2018We present a method to combine markerless motion capture and dense pose feature estimation into a single framework. We demonstrate that dense pose information can help for multiview/single-view motion capture, and multiview motion capture can help the ... More

Structure from Recurrent Motion: From Rigidity to RecurrencyApr 18 2018This paper proposes a new method for Non-Rigid Structure-from-Motion (NRSfM) from a long monocular video sequence observing a non-rigid object performing recurrent and possibly repetitive dynamic action. Departing from the traditional idea of using linear ... More

The final state of gravitational collapse in Eddington-inspired Born-Infeld theoryDec 16 2015Feb 14 2017In this paper, we address the implications when a homogeneous dust model is considered for a scenario of gravitational collapse in the context of Eddington-inspired Born-Infeld (EiBI) theory. In order to describe the dynamical evolution of the collapse, ... More

Neural Abstractive Text Summarization with Sequence-to-Sequence ModelsDec 05 2018Dec 07 2018In the past few years, neural abstractive text summarization with sequence-to-sequence (seq2seq) models have gained a lot of popularity. Many interesting techniques have been proposed to improve the seq2seq models, making them capable of handling different ... More

Very-high-energy gamma-rays from the Universe's middle age: detection of the z=0.940 blazar PKS 1441+25 with MAGICDec 14 2015Jan 12 2018The flat-spectrum radio quasar PKS 1441+25 at a redshift of z = 0.940 is detected between 40 and 250 GeV with a significance of 25.5 {\sigma} using the MAGIC telescopes. Together with the gravitationally lensed blazar QSO B0218+357 (z = 0.944), PKS 1441+25 ... More

Periastron Observations of TeV Gamma-Ray Emission from a Binary System with a 50-year PeriodOct 11 2018We report on observations of the pulsar / Be star binary system PSR J2032+4127 / MT91 213 in the energy range between 100 GeV and 20 TeV with the VERITAS and MAGIC imaging atmospheric Cherenkov telescope arrays. The binary orbit has a period of approximately ... More

Density Evolution Analysis of Node-Based Verification-Based Algorithms in Compressed SensingFeb 14 2011Jun 01 2011In this paper, we present a new approach for the analysis of iterative node-based verification-based (NB-VB) recovery algorithms in the context of compressive sensing. These algorithms are particularly interesting due to their low complexity (linear in ... More

Pricing Perpetual Put Options by the Black-Scholes Equation with a Nonlinear Volatility FunctionNov 03 2016We investigate qualitative and quantitative behavior of a solution to the problem of pricing American style of perpetual put options. We assume the option priceWe investigate qualitative and quantitative behavior of a solution to the problem of pricing ... More

Recycle-GAN: Unsupervised Video RetargetingAug 15 2018We introduce a data-driven approach for unsupervised video retargeting that translates content from one domain to another while preserving the style native to a domain, i.e., if contents of John Oliver's speech were to be transferred to Stephen Colbert, ... More

Deep Reinforcement Learning For Sequence to Sequence ModelsMay 24 2018Jul 20 2018In recent times, sequence-to-sequence (seq2seq) models have gained a lot of popularity and provide state-of-the-art performance in a wide variety of tasks such as machine translation, headline generation, text summarization, speech to text conversion, ... More

Level sets and Composition operators on the Dirichlet spaceMar 26 2010We consider composition operators in the Dirichlet space of the unit disc in the plane. Various criteria on boundedness, compactness and Hilbert-Schmidt class membership are established. Some of these criteria are shown to be optimal.

Temporal Attention Model for Neural Machine TranslationAug 09 2016Attention-based Neural Machine Translation (NMT) models suffer from attention deficiency issues as has been observed in recent research. We propose a novel mechanism to address some of these limitations and improve the NMT attention. Specifically, our ... More

Top Quark Forward-Backward Asymmetry and $W'$-Boson with General CouplingsMay 15 2012Oct 24 2012The measured forward-backward asymmetry in top pair events at the Fermilab Tevatron collider deviates significantly from the standard model expectation. Several models have been proposed to describe the observed asymmetry which grows with the rapidity ... More

Hand Keypoint Detection in Single Images using Multiview BootstrappingApr 25 2017We present an approach that uses a multi-camera system to train fine-grained detectors for keypoints that are prone to occlusion, such as the joints of a hand. We call this procedure multiview bootstrapping: first, an initial keypoint detector is used ... More

Realtime Multi-Person 2D Pose Estimation using Part Affinity FieldsNov 24 2016Apr 14 2017We present an approach to efficiently detect the 2D pose of multiple people in an image. The approach uses a nonparametric representation, which we refer to as Part Affinity Fields (PAFs), to learn to associate body parts with individuals in the image. ... More