title
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2D-3D Interlaced Transformer for Point Cloud Segmentation with Scene-Level Supervision
We present a Multimodal Interlaced Transformer (MIT) that jointly considers 2D and 3D data for weakly supervised point cloud segmentation. Research studies have shown that 2D and 3D features are complementary for point cloud segmentation. However, existing methods require extra 2D annotations to achieve 2D-3D informati...
https://arxiv.org/abs/2310.12817v2
2310.12817
2023-10-19
cybersecurity
2D3D-MatchNet: Learning to Match Keypoints Across 2D Image and 3D Point Cloud
Large-scale point cloud generated from 3D sensors is more accurate than its image-based counterpart. However, it is seldom used in visual pose estimation due to the difficulty in obtaining 2D-3D image to point cloud correspondences. In this paper, we propose the 2D3D-MatchNet - an end-to-end deep network architecture t...
http://arxiv.org/abs/1904.09742v1
1904.09742
2019-04-22
cybersecurity
2D3D-MATR: 2D-3D Matching Transformer for Detection-free Registration between Images and Point Clouds
The commonly adopted detect-then-match approach to registration finds difficulties in the cross-modality cases due to the incompatible keypoint detection and inconsistent feature description. We propose, 2D3D-MATR, a detection-free method for accurate and robust registration between images and point clouds. Our method ...
https://arxiv.org/abs/2308.05667v2
2308.05667
2023-08-10
cybersecurity
2D/3D Megavoltage Image Registration Using Convolutional Neural Networks
We presented a 2D/3D MV image registration method based on a Convolutional Neural Network. Most of the traditional image registration method intensity-based, which use optimization algorithms to maximize the similarity between to images. Although these methods can achieve good results for kilovoltage images, the same d...
http://arxiv.org/abs/1811.11816v1
1811.11816
2018-11-28
cybersecurity
2D-3D Pose Consistency-based Conditional Random Fields for 3D Human Pose Estimation
This study considers the 3D human pose estimation problem in a single RGB image by proposing a conditional random field (CRF) model over 2D poses, in which the 3D pose is obtained as a byproduct of the inference process. The unary term of the proposed CRF model is defined based on a powerful heat-map regression network...
http://arxiv.org/abs/1704.03986v2
1704.03986
2017-04-13
cybersecurity
2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning
Action recognition and human pose estimation are closely related but both problems are generally handled as distinct tasks in the literature. In this work, we propose a multitask framework for jointly 2D and 3D pose estimation from still images and human action recognition from video sequences. We show that a single ar...
http://arxiv.org/abs/1802.09232v2
1802.09232
2018-02-26
cybersecurity
2D-3D Pose Tracking with Multi-View Constraints
Camera localization in 3D LiDAR maps has gained increasing attention due to its promising ability to handle complex scenarios, surpassing the limitations of visual-only localization methods. However, existing methods mostly focus on addressing the cross-modal gaps, estimating camera poses frame by frame without conside...
https://arxiv.org/abs/2309.11335v1
2309.11335
2023-09-20
cybersecurity
2D Active Brownian run-and-tumble particles moment analysis
We study an active Brownian run-and-tumble particle (ABRTP) model, that consists of an active Brownian run state during which the active velocity of the particle diffuses on the unit circle, and a tumble state during which the active velocity is zero, both with exponentially distributed time. Additionally we add a harm...
https://arxiv.org/abs/2504.20352v1
2504.20352
2025-04-29
cybersecurity
2D additive small-world network with distance-dependent interactions
In this work, we have employed Monte Carlo calculations to study the Ising model on a 2D additive small-world network with long-range interactions depending on the geometric distance between interacting sites. The network is initially defined by a regular square lattice and with probability $p$ each site is tested for ...
https://arxiv.org/abs/2409.02033v1
2409.02033
2024-09-03
cybersecurity
2D Ambipolar Vertical Transistors as Control-free Reconfigurable Logic Devices
As transistor footprint scales down to sub-10 nm regime, the process development for advancing to further technology nodes has encountered slowdowns. Achieving greater functionality within a single chip requires concurrent development at the device, circuit, and system levels. Reconfigurable transistors possess the cap...
https://arxiv.org/abs/2309.08746v1
2309.08746
2023-09-15
cybersecurity
2D Amodal Instance Segmentation Guided by 3D Shape Prior
Amodal instance segmentation aims to predict the complete mask of the occluded instance, including both visible and invisible regions. Existing 2D AIS methods learn and predict the complete silhouettes of target instances in 2D space. However, masks in 2D space are only some observations and samples from the 3D model i...
https://link.springer.com/chapter/10.1007/978-3-031-19818-2_10
null
2022-06-01
cybersecurity
2D and 3D CNN-Based Fusion Approach for COVID-19 Severity Prediction from 3D CT-Scans
Since the appearance of Covid-19 in late 2019, Covid-19 has become an active research topic for the artificial intelligence (AI) community. One of the most interesting AI topics is Covid-19 analysis of medical imaging. CT-scan imaging is the most informative tool about this disease. This work is part of the 3nd COV19D ...
https://arxiv.org/abs/2303.08740v1
2303.08740
2023-03-15
cybersecurity
2D and 3D Computer Graphics Algorithms under MorphoSys
This paper presents new mappings of 2D and 3D geometrical transformation on the MorphoSys (M1) reconfigurable computing (RC) prototype [2]. This improves the system performance as a graphics accelerator [1-5]. Three algorithms are mapped including two for calculating 2D transformations, and one for 3D transformations. ...
http://arxiv.org/abs/1904.12609v1
1904.12609
2019-04-11
cybersecurity
2D and 3D convective Brinkman-Forchheimer equations perturbed by a subdifferential and applications to control problems
The following convective Brinkman-Forchheimer (CBF) equations (or damped Navier-Stokes equations) with potential \begin{equation*} \frac{\partial \boldsymbol{y}}{\partial t}-\mu \Delta\boldsymbol{y}+(\boldsymbol{y}\cdot\nabla)\boldsymbol{y}+\alpha\boldsymbol{y}+\beta|\boldsymbol{y}|^{r-1}\boldsymbol{y}+\nabla p+\Psi(\b...
https://arxiv.org/abs/2301.01527v2
2301.01527
2023-01-04
cybersecurity
2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study
Objective: Radiomics, an emerging tool for medical image analysis, is potential towards precisely characterizing gastric cancer (GC). Whether using one-slice 2D annotation or whole-volume 3D annotation remains a long-time debate, especially for heterogeneous GC. We comprehensively compared 2D and 3D radiomic features' ...
https://arxiv.org/abs/2210.16640v1
2210.16640
2022-10-29
cybersecurity
2D and 3D Deep Learning Models for MRI-based Parkinson's Disease Classification: A Comparative Analysis of Convolutional Kolmogorov-Arnold Networks, Convolutional Neural Networks, and Graph Convolutional Networks
Parkinson's Disease (PD) diagnosis remains challenging. This study applies Convolutional Kolmogorov-Arnold Networks (ConvKANs), integrating learnable spline-based activation functions into convolutional layers, for PD classification using structural MRI. The first 3D implementation of ConvKANs for medical imaging is pr...
https://arxiv.org/abs/2407.17380v2
2407.17380
2024-07-24
cybersecurity
2-D and 3-D Models of Convective Turbulence and Oscillations in Intermediate-Mass Main-Sequence Stars
We present multidimensional modeling of convection and oscillations in main-sequence stars somewhat more massive than the Sun, using three separate approaches: 1) Using the 3-D planar StellarBox radiation hydrodynamics code to model the envelope convection zone and part of the radiative zone. Our goals are to examine t...
http://arxiv.org/abs/1605.04455v1
1605.04455
2016-05-14
cybersecurity
2D and 3D Segmentation of uncertain local collagen fiber orientations in SHG microscopy
Collagen fiber orientations in bones, visible with Second Harmonic Generation (SHG) microscopy, represent the inner structure and its alteration due to influences like cancer. While analyses of these orientations are valuable for medical research, it is not feasible to analyze the needed large amounts of local orientat...
https://arxiv.org/abs/1907.12868v1
1907.12868
2019-07-30
cybersecurity
2D and 3D topological phases in BiTe$X$ compounds
Recently, it was shown that quantum spin Hall insulator (QSHI) phase with a gap wide enough for practical applications can be realized in the ultra thin films constructed from two inversely stacked structural elements of trivial band insulator BiTeI. Here, we study the edge states in the free-standing Bi$_2$Te$_2$I$_2$...
http://arxiv.org/abs/1706.08127v1
1706.08127
2017-06-25
cybersecurity
2D and 3D Vascular Structures Enhancement via Multiscale Fractional Anisotropy Tensor
The detection of vascular structures from noisy images is a fundamental process for extracting meaningful information in many applications. Most well-known vascular enhancing techniques often rely on Hessian-based filters. This paper investigates the feasibility and deficiencies of detecting curve-like structures using...
http://arxiv.org/abs/1902.00550v1
1902.00550
2019-02-01
cybersecurity
2D Anderson Localization and KPZ sub-Universality Classes : sensitivity to boundary conditions and insensitivity to symmetry classes
We challenge two foundational principles of localization physics by analyzing conductance fluctuations in two dimensions with unprecedented precision: (i) the Thouless criterion, which defines localization as insensitivity to boundary conditions, and (ii) that symmetry determines the universality class of Anderson loca...
https://arxiv.org/abs/2504.17010v1
2504.17010
2025-04-23
cybersecurity
2D antiscatter grid and scatter sampling based CBCT pipeline for image guided radiation therapy
Poor tissue visualization and quantitative accuracy in CBCT is a major barrier in expanding the role of CBCT imaging from target localization to quantitative treatment monitoring and plan adaptations in radiation therapy sessions. To further improve image quality in CBCT, 2D antiscatter grid based scatter rejection was...
https://arxiv.org/abs/2308.09095v1
2308.09095
2023-08-17
cybersecurity
2D-AoI: Age-of-Information of Distributed Sensors for Spatio-Temporal Processes
The freshness of sensor data is critical for all types of cyber-physical systems. An established measure for quantifying data freshness is the Age-of-Information (AoI), which has been the subject of extensive research. Recently, there has been increased interest in multi-sensor systems: redundant sensors producing samp...
https://arxiv.org/abs/2412.12789v1
2412.12789
2024-12-17
cybersecurity
2D Attentional Irregular Scene Text Recognizer
Irregular scene text, which has complex layout in 2D space, is challenging to most previous scene text recognizers. Recently, some irregular scene text recognizers either rectify the irregular text to regular text image with approximate 1D layout or transform the 2D image feature map to 1D feature sequence. Though thes...
https://arxiv.org/abs/1906.05708v1
1906.05708
2019-06-13
cybersecurity
2D attractive almost-bosonic anyon gases
In two-dimensional space, we consider a system of $N$ anyons interacts via a short range attractive two-body interaction. In the stable regime, we derive the average-field Pauli functional as the mean-field limit of many-body quantum mechanics. Furthermore, we investigate the collapse phenomenon in the collapse regime ...
https://arxiv.org/abs/2409.00409v1
2409.00409
2024-08-31
cybersecurity
2D Azimuthal Space for Au + Au Mid-Central Collisions at $\sqrt{s_{NN}} =$ 200 GeV
In this paper we will show that one can summarize the major two particle reaction plane azimuthal correlations for Au + Au mid-central collisions at $\sqrt{s_{NN}} =$ 200 GeV by defining a 2D azimuthal space which is a summary of the event by event average.
http://arxiv.org/abs/1910.07597v1
1910.07597
2019-10-16
cybersecurity
2D BAO vs 3D BAO: Hints for new physics?
In the era of tensions, when precision cosmology is blooming, numerous new theoretical models are emerging. However, it's crucial to pause and question the extent to which the observational data we rely on are model-dependent. In this work, we study the comoving position of the acoustic peak, a cornerstone standard rul...
https://arxiv.org/abs/2406.05453v1
2406.05453
2024-06-08
cybersecurity
2D BAO vs 3D BAO: solving the Hubble tension with an alternative cosmological model
Ordinary 3D Baryon Acoustic Oscillations (BAO) data are model-dependent, requiring the assumption of a cosmological model to calculate comoving distances during data reduction. Throughout the present-day literature, the assumed model is $\Lambda$CDM. However, it has been pointed out in several recent works that this as...
https://arxiv.org/abs/2407.04322v3
2407.04322
2024-07-05
cybersecurity
2D Basement Relief Inversion using Sparse Regularization
Basement relief gravimetry is crucial in geophysics, especially for oil exploration and mineral prospecting. It involves solving an inverse problem to infer geological model parameters from observed data. The model represents basement relief with constant-density prisms, and the data reflect gravitational anomalies fro...
https://arxiv.org/abs/2410.14942v1
2410.14942
2024-10-19
cybersecurity
2D Bayesian automated tilted-ring fitting of disk galaxies in large HI galaxy surveys: 2DBAT
We present a novel algorithm based on a Bayesian method for 2D tilted-ring analysis of disk galaxy velocity fields. Compared to the conventional algorithms based on a chi-squared minimisation procedure, this new Bayesian-based algorithm suffers less from local minima of the model parameters even with highly multi-modal...
https://arxiv.org/abs/1709.02049v1
1709.02049
2017-09-07
cybersecurity
2D Beam Domain Statistical CSI Estimation for Massive MIMO Uplink
In this paper, we investigate the beam domain statistical channel state information (CSI) estimation for the two dimensional (2D) beam based statistical channel model (BSCM) in massive MIMO systems.The problem is to estimate the beam domain channel power matrices (BDCPMs) based on multiple receive pilot signals. A rece...
https://arxiv.org/abs/2207.04695v1
2207.04695
2022-07-11
cybersecurity
2D beam shaping via 1D spatial light modulation
Many emerging reconfigurable optical systems are limited by routing complexity when producing dynamic, two-dimensional (2D) electric fields. Using a gradient-based inverse designed, static phase-mask doublet, we propose an optical system to produce 2D intensity wavefronts using a one-dimensional (1D) intensity Spatial ...
https://arxiv.org/abs/2101.04085v1
2101.04085
2021-01-11
cybersecurity
2D BEM modeling of a singular thermal diffusion free boundary problem with phase change
We report a 2D Boundary Element Method (BEM) modeling of the thermal diffusion-controlled growth of a vapor bubble attached to a heating surface during saturated pool boiling. The transient heat conduction problem is solved in a liquid that surrounds a bubble with a free boundary and in a semi-infinite solid heater. Th...
http://arxiv.org/abs/1601.07196v1
1601.07196
2016-01-25
cybersecurity
2D bidirectional gated recurrent unit convolutional Neural networks for end-to-end violence detection In videos
Abnormal behavior detection, action recognition, fight and violence detection in videos is an area that has attracted a lot of interest in recent years. In this work, we propose an architecture that combines a Bidirectional Gated Recurrent Unit (BiGRU) and a 2D Convolutional Neural Network (CNN) to detect violence in v...
https://arxiv.org/abs/2409.07588v1
2409.07588
2024-09-11
cybersecurity
2D Black Holes, Bianchi I Cosmologies, and $α'$
We report two surprising results on $\alpha'$ corrections in string theory restricted to massless fields. First, for critical dimension Bianchi type I cosmologies with $q$ scale factors only $q-1$ of them have non-trivial $\alpha'$ corrections. In particular, for FRW backgrounds all $\alpha'$ corrections are trivial. S...
https://arxiv.org/abs/2304.06763v2
2304.06763
2023-04-13
cybersecurity
2D Black Phosphorus Carbide: Rippling and Formation of Nanotubes
The allotropes of a new layered material, phosphorus carbide (PC), have been predicted recently and a few of these predicted structures have already been successfully fabricated. Herein, by using first-principles calculations we investigated the effects of rippling a PC monolayer, one of the most stable modifications o...
http://arxiv.org/abs/2002.08093v1
2002.08093
2020-02-19
cybersecurity
2D-Block Geminals: a non 1-orthogonal and non 0-seniority model with reduced computational complexity
We present a new geminal product wave function ansatz where the geminals are not constrained to be strongly orthogonal nor to be of seniority zero. Instead, we introduce weaker orthogonality constraints between geminals which significantly lower the computational effort, without sacrificing the indistinguishability of ...
https://arxiv.org/abs/2209.00834v4
2209.00834
2022-09-02
cybersecurity
2D capsid formation within an oscillatory energy landscape: orderly self-assembly depends on the interplay between a dynamic potential and intrinsic relaxation times
Multiple dissipative self-assembly protocols designed to create novel structures or to reduce kinetic traps have recently emerged. Specifically, temporal oscillations of particle interactions have been shown effective at both aims, but investigations thus far have focused on systems of simple colloids or their binary m...
https://arxiv.org/abs/2404.11765v2
2404.11765
2024-04-17
cybersecurity
2D Car Detection in Radar Data with PointNets
For many automated driving functions, a highly accurate perception of the vehicle environment is a crucial prerequisite. Modern high-resolution radar sensors generate multiple radar targets per object, which makes these sensors particularly suitable for the 2D object detection task. This work presents an approach to de...
https://arxiv.org/abs/1904.08414v3
1904.08414
2019-04-17
cybersecurity
2d Cardy-Rabinovici model with the modified Villain lattice: Exact dualities and symmetries
The Cardy-Rabinovici model is a toy model of the lattice $U(1)$ gauge theories to study various oblique confinement states associated with the nonzero $\theta$ angles. We reformulate the $2$d version of this model using the modified Villain lattice formalism, and we establish the exact $\theta$ periodicity for the Witt...
https://arxiv.org/abs/2505.19412v1
2505.19412
2025-05-26
cybersecurity
2D cellular automaton model for the evolution of active region coronal plasmas
We study a 2D cellular automaton (CA) model for the evolution of coronal loop plasmas. The model is based on the idea that coronal loops are made of elementary magnetic strands that are tangled and stressed by the displacement of their footpoints by photospheric motions. The magnetic stress accumulated between neighbor...
http://arxiv.org/abs/1607.03883v1
1607.03883
2016-07-13
cybersecurity
2D CFT Partition Functions at Late Times
We consider the late time behavior of the analytically continued partition function $Z(\beta + it) Z(\beta - it)$ in holographic $2d$ CFTs. This is a probe of information loss in such theories and in their holographic duals. We show that each Virasoro character decays in time, and so information is not restored at the ...
http://arxiv.org/abs/1611.04592v1
1611.04592
2016-11-14
cybersecurity
2D CFTs - Large Charge is not enough
In this note we study two-dimensional CFTs at large global charge. Since the large-charge sector decouples from the dynamics, it does not control the dynamics and an EFT construction that works in higher-dimensional theories fails. It is however possible to use large charge in a double-scaling limit when another contro...
https://arxiv.org/abs/2112.03286v2
2112.03286
2021-12-06
cybersecurity
2D chemical evolution models II. Effects of multiple spiral arm patterns on O, Eu, Fe and Ba abundance gradients
According to observations and numerical simulations, the Milky Way could exhibit several spiral arm modes with multiple pattern speeds, wherein the slower patterns are located at larger Galactocentric distances. Our aim is to quantify the effects of the spiral arms on the azimuthal variations of the chemical abundances...
https://arxiv.org/abs/2310.11504v1
2310.11504
2023-10-17
cybersecurity
2D chemical evolution model: the impact of galactic disc asymmetries on azimuthal chemical abundance variations
Galactic disc chemical evolution models generally ignore azimuthal surface density variation that can introduce chemical abundance azimuthal gradients. Recent observations, however, have revealed chemical abundance changes with azimuth in the gas and stellar components of both the Milky Way and external galaxies. To qu...
http://arxiv.org/abs/1811.11196v3
1811.11196
2019-06-24
cybersecurity
2-D Cluster Variation Method Free Energy: Fundamentals and Pragmatics
Despite being invented in 1951 by R. Kikuchi, the 2-D Cluster Variation Method (CVM), has not yet received attention. Nevertheless, this method can usefully characterize 2-D topographies using just two parameters; the activation enthalpy and the interaction enthalpy. This Technical Report presents 2-D CVM details, incl...
https://arxiv.org/abs/1909.09366v1
1909.09366
2019-09-20
cybersecurity
2-D Coherence Factor for Sidelobe and Ghost Suppressions in Radar Imaging
The coherence factor (CF) is defined as the ratio of coherent power to incoherent power received by the radar aperture. The incoherent power is computed by the multi-antenna receiver based on only the spatial variable. In this respect, it is a one-dimensional (1-D) CF, and thereby the image sidelobes in down-range cann...
http://arxiv.org/abs/1903.10119v1
1903.10119
2019-03-25
cybersecurity
2-D Compass Codes
The compass model on a square lattice provides a natural template for building subsystem stabilizer codes. The surface code and the Bacon-Shor code represent two extremes of possible codes depending on how many gauge qubits are fixed. We explore threshold behavior in this broad class of local codes by trading locality ...
http://arxiv.org/abs/1809.01193v2
1809.01193
2018-11-19
cybersecurity
2D condensate of electrons and holes in ultrathin MoTe$_2$ photocells
The electron-hole liquid, which features a macroscopic population of correlated electrons and holes, may offer a path to room temperature semiconductor devices that harness collective electronic phenomena. We report on the gas-to-liquid phase transition of electrons and holes in ultrathin molybdenum ditelluride photoce...
http://arxiv.org/abs/1711.06917v1
1711.06917
2017-11-18
cybersecurity
2D Constrained Navier-Stokes Equations
We study 2D Navier-Stokes equations with a constraint on $L^2$ energy of the solution. We prove the existence and uniqueness of a global solution for the constrained Navier-Stokes equation on $\R^2$ and $\T$, by a fixed point argument. We also show that the solution of constrained Navier-Stokes converges to the solutio...
http://arxiv.org/abs/1606.08360v1
1606.08360
2016-06-27
cybersecurity
2D Convection-Diffusion in Multipolar Flows
We present a complete analysis of the problem of convection-diffusion in low Re, 2-dimensional flows with distributions of singularities, such as those found in open-space microfluidics and in groundwater flows. Using Boussinesq transformations and solving the problem in streamline coordinates, we obtain concentration ...
http://arxiv.org/abs/2003.05818v1
2003.05818
2020-03-12
cybersecurity
2D Convolutional Neural Network for Event Reconstruction in IceCube DeepCore
IceCube DeepCore is an extension of the IceCube Neutrino Observatory designed to measure GeV scale atmospheric neutrino interactions for the purpose of neutrino oscillation studies. Distinguishing muon neutrinos from other flavors and reconstructing inelasticity are especially difficult tasks at GeV scale energies in I...
https://arxiv.org/abs/2307.16373v1
2307.16373
2023-07-31
cybersecurity
2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification
Automated methods for breast cancer detection have focused on 2D mammography and have largely ignored 3D digital breast tomosynthesis (DBT), which is frequently used in clinical practice. The two key challenges in developing automated methods for DBT classification are handling the variable number of slices and retaini...
https://arxiv.org/abs/2002.12314v1
2002.12314
2020-02-27
cybersecurity
2D correlations in the van der Waals ferromagnet CrBr$_{3}$ using high frequency electron spin resonance spectroscopy
Broadening the knowledge and understanding on the magnetic correlations in van der Waals layered magnets is critical in realizing their potential next-generation applications. In this study, we employ high frequency (240 GHz) electron spin resonance (ESR) spectroscopy on plate-like CrBr$_{3}$ to gain insight into the m...
http://arxiv.org/abs/2010.15342v1
2010.15342
2020-10-29
cybersecurity
2-D Covariant Affine Integral Quantization(s)
Covariant affine integral quantization is studied and applied to the motion of a particle in a punctured plane R^2_\ast=R^2\{0}, for which the phase space is R^2_\ast=R^2\{0}X R^2. We examine the consequences of different quantizer operators built from weight functions on this phase space. To illustrate the procedure, ...
https://arxiv.org/abs/1911.00578v2
1911.00578
2019-11-01
cybersecurity
2D-CTC for Scene Text Recognition
Scene text recognition has been an important, active research topic in computer vision for years. Previous approaches mainly consider text as 1D signals and cast scene text recognition as a sequence prediction problem, by feat of CTC or attention based encoder-decoder framework, which is originally designed for speech ...
https://arxiv.org/abs/1907.09705v1
1907.09705
2019-07-23
cybersecurity
2D-Curri-DPO: Two-Dimensional Curriculum Learning for Direct Preference Optimization
Aligning large language models with human preferences is crucial for their safe deployment. While Direct Preference Optimization (DPO) offers an efficient alternative to reinforcement learning from human feedback, traditional DPO methods are limited by their reliance on single preference pairs. Recent work like Curricu...
https://arxiv.org/abs/2504.07856v2
2504.07856
2025-04-10
cybersecurity
2DDATA: 2D Detection Annotations Transmittable Aggregation for Semantic Segmentation on Point Cloud
Recently, multi-modality models have been introduced because of the complementary information from different sensors such as LiDAR and cameras. It requires paired data along with precise calibrations for all modalities, the complicated calibration among modalities hugely increases the cost of collecting such high-quali...
https://arxiv.org/abs/2309.11755v1
2309.11755
2023-09-21
cybersecurity
2D-Densely Connected Convolution Neural Networks for automatic Liver and Tumor Segmentation
In this paper we propose a fully automatic 2-stage cascaded approach for segmentation of liver and its tumors in CT (Computed Tomography) images using densely connected fully convolutional neural network (DenseNet). We independently train liver and tumor segmentation models and cascade them for a combined segmentation ...
http://arxiv.org/abs/1802.02182v1
1802.02182
2018-01-05
cybersecurity
2D Density Control of Micro-Particles using Kernel Density Estimation
We address the problem of 2D particle density control. The particles are immersed in dielectric fluid and acted upon by manipulating an electric field. The electric field is controlled by an array of electrodes and used to bring the particle density to a desired pattern using dielectrophoretic forces. We use a lumped, ...
https://arxiv.org/abs/2209.03550v1
2209.03550
2022-09-08
cybersecurity
2D dilaton gravity and the Weil-Petersson volumes with conical defects
We derive the Weil-Petersson measure on the moduli space of hyperbolic surfaces with defects of arbitrary opening angles and use this to compute its volume. We conjecture a matrix integral computing the corresponding volumes and confirm agreement in simple cases. We combine this mathematical result with the equivariant...
https://arxiv.org/abs/2304.14948v2
2304.14948
2023-04-28
cybersecurity
2D dilute Bose mixture at low temperatures
The thermodynamic and superfluid properties of the dilute two-dimensional binary Bose mixture at low temperatures are discussed. We also considered the problem of the emergence of the long-range order in these systems. All calculations are performed by means of celebrated Popov's path-integral approach for the Bose gas...
http://arxiv.org/abs/1708.00432v2
1708.00432
2017-12-19
cybersecurity
2D-Dirac surface states and bulk gap probed via quantum capacitance in a 3D topological insulator
BiSbTeSe$_2$ is a 3D topological insulator (3D-TI) with Dirac type surface states and low bulk carrier density, as donors and acceptors compensate each other. Dominating low temperature surface transport in this material is heralded by Shubnikov-de Haas oscillations and the quantum Hall effect. Here, we experimentally ...
https://arxiv.org/abs/1912.02725v3
1912.02725
2019-12-05
cybersecurity
2-D Directed Formation Control Based on Bipolar Coordinates
This work proposes a novel 2-D formation control scheme for acyclic triangulated directed graphs (a class of minimally acyclic persistent graphs) based on bipolar coordinates with (almost) global convergence to the desired shape. Prescribed performance control is employed to devise a decentralized control law that avoi...
https://arxiv.org/abs/2108.00916v3
2108.00916
2021-08-02
cybersecurity
2D disc modelling of the JWST line spectrum of EX Lupi
We introduce a number of new theoretical approaches and improvements to the thermo-chemical disc modelling code ProDiMo to better predict and analyse the JWST line spectra of protoplanetary discs. We develop a new line escape probability method for disc geometries, a new scheme for dust settling, and discuss how to app...
https://arxiv.org/abs/2311.18321v1
2311.18321
2023-11-30
cybersecurity
2D Discrete Fourier Transform with Simultaneous Edge Artifact Removal for Real-Time Applications
Two-Dimensional (2D) Discrete Fourier Transform (DFT) is a basic and computationally intensive algorithm, with a vast variety of applications. 2D images are, in general, non-periodic, but are assumed to be periodic while calculating their DFTs. This leads to cross-shaped artifacts in the frequency domain due to spectra...
http://arxiv.org/abs/1603.05154v1
1603.05154
2016-03-16
cybersecurity
2D discrete Hodge-Dirac operator on the torus
We discuss a discretisation of the de Rham-Hodge theory in the two-dimensional case based on a discrete exterior calculus framework. We present discrete analogues of the Hodge-Dirac and Laplace operators in which key geometric aspects of the continuum counterpart are captured. We provide and prove a discrete version of...
https://arxiv.org/abs/2202.03923v1
2202.03923
2022-02-08
cybersecurity
2D discrete Yang-Mills equations on the torus
In this paper, we introduce a discretization scheme for the Yang-Mills equations in the two-dimensional case using a framework based on discrete exterior calculus. Within this framework, we define discrete versions of the exterior covariant derivative operator and its adjoint, which capture essential geometric features...
https://arxiv.org/abs/2405.15315v1
2405.15315
2024-05-24
cybersecurity
2D-Double transition metal MXenes for spintronics applications: surface functionalization induced ferromagnetic half-metallic complexes
MXenes are rapidly emerging two-dimensional (2D) materials with thickness, composition, and functionalization-dependent outstanding properties having applications in diverse fields. To disclose nano-spintronic applications of 2D-double transition metal (DTM) carbide and nitride-based pristine and surface-functionalized...
https://arxiv.org/abs/2211.00846v1
2211.00846
2022-11-02
cybersecurity
2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision
Recent advancements in Direct Preference Optimization (DPO) have significantly enhanced the alignment of Large Language Models (LLMs) with human preferences, owing to its simplicity and effectiveness. However, existing methods typically optimize a scalar score or ranking reward, thereby overlooking the multi-dimensiona...
https://arxiv.org/abs/2410.19720v1
2410.19720
2024-10-25
cybersecurity
2D-Driven 3D Object Detection in RGB-D Images
In this paper, we present a technique that places 3D bounding boxes around objects in an RGB-D scene. Our approach makes best use of the 2D information to quickly reduce the search space in 3D, benefiting from state-of-the-art 2D object detection techniques. We then use the 3D information to orient, place, and score bo...
http://openaccess.thecvf.com/content_iccv_2017/html/Lahoud_2D-Driven_3D_Object_ICCV_2017_paper.html
null
2017-10-01
cybersecurity
2d dualities from 4d
We find new $\mathcal{N}=(2,2)$ and $\mathcal{N}=(0,2)$ dualities through the twisted compactifications of 4d supersymmetric theories on $S^2$. Our findings include dualities for both $\mathcal{N}=(2,2)$ and $\mathcal{N}=(0,2)$ non-Abelian gauge theories, as well as $\mathcal{N}=(0,2)$ Gauge/Landau-Ginzburg duality.
https://arxiv.org/abs/2407.17350v3
2407.17350
2024-07-24
cybersecurity
2D dynamics of the radiative core of low mass stars
Understanding the internal rotation of low mass stars all along their evolution is of primary interest when studying their rotational dynamics, internal mixing and magnetic field generation. In this context, helio- and asteroseismology probe angular velocity gradients deep within solar type stars at different evolution...
http://arxiv.org/abs/1610.08798v1
1610.08798
2016-10-27
cybersecurity
2D Eddy Current Boundary Value Problems for Power Cables with Helicoidal Symmetry
Power cables have complex geometries in order to reduce their AC resistance. The cross-section of a cable consists of several conductors that are electrically insulated from each other to counteract the current displacement caused by the skin effect. Furthermore, the individual conductors are twisted over the cable's l...
https://arxiv.org/abs/2301.03370v1
2301.03370
2023-01-09
cybersecurity
2D Ego-Motion with Yaw Estimation using Only mmWave Radars via Two-Way weighted ICP
The interest in single-chip mmWave Radar is driven by their compact form factor, cost-effectiveness, and robustness under harsh environmental conditions. Despite its promising attributes, the principal limitation of mmWave radar lies in its capacity for autonomous yaw rate estimation. Conventional solutions have often ...
https://arxiv.org/abs/2404.00830v1
2404.00830
2024-03-31
cybersecurity
2DEG on a cylindrical shell with a screw dislocation
A two dimensional electron gas on a cylindrical surface with a screw dislocation is considered. More precisely, we investigate how both the geometry and the deformed potential due to a lattice distortion affect the Landau levels of such system. The case showing the deformed potential can be thought in the context of 3D...
http://arxiv.org/abs/1504.02968v1
1504.02968
2015-04-12
cybersecurity
2D Eigenvalue Problem I: Existence and Number of Solutions
A two dimensional eigenvalue problem (2DEVP) of a Hermitian matrix pair $(A, C)$ is introduced in this paper. The 2DEVP can be viewed as a linear algebraic formulation of the well-known eigenvalue optimization problem of the parameter matrix $H(\mu) = A - \mu C$. We present fundamental properties of the 2DEVP such as t...
https://arxiv.org/abs/1911.08109v3
1911.08109
2019-11-19
cybersecurity
2D Eigenvalue Problem III: Convergence Analysis of the 2D Rayleigh Quotient Iteration
In Part I of this paper, we introduced a two dimensional eigenvalue problem (2DEVP) of a matrix pair and investigated its fundamental theory such as existence, variational characterization and number of 2D-eigenvalues. In Part II, we proposed a Rayleigh quotient iteration (RQI)-like algorithm (2DRQI) for computing a 2D...
https://arxiv.org/abs/2303.05357v1
2303.05357
2023-03-09
cybersecurity
2D Eigenvalue Problem II: Rayleigh Quotient Iteration and Applications
In Part I of this paper, we introduced a 2D eigenvalue problem (2DEVP) and presented theoretical results of the 2DEVP and its intrinsic connetion with the eigenvalue optimizations. In this part, we devise a Rayleigh quotient iteration (RQI)-like algorithm, 2DRQI in short, for computing a 2D-eigentriplet of the 2DEVP. T...
https://arxiv.org/abs/2209.12040v1
2209.12040
2022-09-24
cybersecurity
2D electromagnetic simulations of RF heating via inductive coupling in the SPIDER device
SPIDER is the prototype ion source of MITICA, the full-size neutral beam heating system conceived for the ITER tokamak. It includes eight drivers to heat and sustain the inductively coupled plasma (ICP). Owing to their near cylindrical symmetry, the coupling between the radio-frequency (RF) active currents and the sour...
https://arxiv.org/abs/2305.09395v1
2305.09395
2023-05-16
cybersecurity
2D electron density profile evolution during detachment in Super-X divertor L-mode discharges on MAST-U
2D electron density profiles obtained from coherence imaging spectroscopy in different MAST-U divertor conditions are compared. The data includes variations of strike point position, core electron density, and heating power. The improved performance of the long-legged divertors results in a lower electron density and p...
https://arxiv.org/abs/2410.00818v1
2410.00818
2024-10-01
cybersecurity
2D electron gas in chalcogenide multilayers
Semiconductor interfaces, such as these existing in multilayer structures (e.g., quantum wells (QWs)), are interesting because of their ability to form 2D electron gases (2DEGs), in which charge carriers behave completely differently than they do in the bulk. As an example, in the presence of a strong magnetic field, t...
http://arxiv.org/abs/1905.08703v1
1905.08703
2019-05-21
cybersecurity
2D electrons floating on a suspended atomically thin dielectric
The 2D electrons trapped in vacuum near the atomically thin dielectric (ATD, mono- or $N$-layer film of $h$-BN or transition metal dichalcogenide) are considered. ATD is suspended above the back gate and forms the capacitor which is controlled by the biased voltage determining 2D concentration, $n_{2D}$. It is found th...
https://arxiv.org/abs/2103.10424v2
2103.10424
2021-03-18
cybersecurity
2-D Embedding of Large and High-dimensional Data with Minimal Memory and Computational Time Requirements
In the advent of big data era, interactive visualization of large data sets consisting of M*10^5+ high-dimensional feature vectors of length N (N ~ 10^3+), is an indispensable tool for data exploratory analysis. The state-of-the-art data embedding (DE) methods of N-D data into 2-D (3-D) visually perceptible space (e.g....
http://arxiv.org/abs/1902.01108v1
1902.01108
2019-02-04
cybersecurity
2D Embeddings of Multi-dimensional Partitionings
Partitionings (or segmentations) divide a given domain into disjoint connected regions whose union forms again the entire domain. Multi-dimensional partitionings occur, for example, when analyzing parameter spaces of simulation models, where each segment of the partitioning represents a region of similar model behavior...
https://arxiv.org/abs/2408.03641v2
2408.03641
2024-08-07
cybersecurity
2D Empirical Transforms. Wavelets, Ridgelets and Curvelets revisited
A recently developed new approach, called ``Empirical Wavelet Transform'', aims to build 1D adaptive wavelet frames accordingly to the analyzed signal. In this paper, we present several extensions of this approach to 2D signals (images). We revisit some well-known transforms (tensor wavelets, Littlewood-Paley wavelets,...
https://arxiv.org/abs/2410.23533v1
2410.23533
2024-10-31
cybersecurity
2D energy-momentum tensor distributions of nucleon in a large-$N_c$ quark model from ultra-relativistic to non-relativistic limit
Form factors of the energy-momentum tensor (EMT) can be interpreted in certain frames in terms of spatial distributions of energy, stress, linear and angular momentum, based on 2D or 3D Fourier transforms. This interpretation is in general subject to "relativistic recoil corrections", except when the nucleon moves at t...
https://arxiv.org/abs/2202.01192v2
2202.01192
2022-02-02
cybersecurity
2-derivators
Introduced independently by Grothendieck and Heller in the 1980s, derivators provide a formal way to study homotopy theories by working in some quotient category such as the homotopy category of a model category. In 2015 Riehl and Verity introduced $\infty$-cosmoi, which are particular $(\infty,2)$-categories where one...
https://arxiv.org/abs/2309.05216v1
2309.05216
2023-09-11
cybersecurity
2-descent for Bloch--Kato Selmer groups and rational points on hyperelliptic curves I
This paper introduces explicit Galois cohomological methods for determining the ranks of Bloch--Kato Selmer groups associated to the Tate twists of the 2-adic second \'etale cohomology of the Jacobian of a hyperelliptic curve with a rational Weierstrass point. In particular, this can give a method to determine the rati...
https://arxiv.org/abs/2312.04996v2
2312.04996
2023-12-08
cybersecurity
2-descent for Bloch--Kato Selmer groups and rational points on hyperelliptic curves II
We give refined methods for proving finiteness of the Chabauty--Coleman--Kim set $X(\mathbb{Q}_2 )_2 $, when $X$ is a hyperelliptic curve with a rational Weierstrass point. The main developments are methods for computing Selmer conditions at $2$ and $\infty$ for the mod 2 Bloch--Kato Selmer group associated to the high...
https://arxiv.org/abs/2403.07476v1
2403.07476
2024-03-12
cybersecurity
2-Designs and Redundant Syndrome Extraction for Quantum Error Correction
Imperfect measurement can degrade a quantum error correction scheme. A solution that restores fault tolerance is to add redundancy to the process of syndrome extraction. In this work, we show how to optimize this process for an arbitrary ratio of data qubit error probability to measurement error probability. The key is...
http://arxiv.org/abs/1907.04497v2
1907.04497
2019-07-11
cybersecurity
2DeteCT -- A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning
Recent research in computational imaging largely focuses on developing machine learning (ML) techniques for image reconstruction, which requires large-scale training datasets consisting of measurement data and ground-truth images. However, suitable experimental datasets for X-ray Computed Tomography (CT) are scarce, an...
https://arxiv.org/abs/2306.05907v1
2306.05907
2023-06-09
cybersecurity
2D Euler equations with Stratonovich transport noise as a large scale stochastic model reduction
The limit from an Euler type system to the 2D Euler equations with Stratonovich transport noise is investigated. A weak convergence result for the vorticity field and a strong convergence result for the velocity field are proved. Our results aim to provide a stochastic reduction of fluid-dynamics models with three diff...
https://arxiv.org/abs/2101.03096v1
2101.03096
2021-01-08
cybersecurity
2D excitation information by MPS method on infinite helixes
Understanding the excitation spectrum in two-dimensional quantum many-body systems has long been a challenging task. We present an approach by introducing an excitation ansatz based on an infinite matrix product state (MPS) on a helix structure. With the canonical form of MPS states, we can accurately extract key prope...
https://arxiv.org/abs/2310.15759v2
2310.15759
2023-10-24
cybersecurity
2dF-AAOmega spectroscopy of massive stars in the Magellanic Clouds: The north-eastern region of the Large Magellanic Cloud
We present spectral classifications from optical spectroscopy of 263 massive stars in the north-eastern region of the Large Magellanic Cloud. The observed two-degree field includes the massive 30 Doradus star-forming region, the environs of SN1987A, and a number of star-forming complexes to the south of 30 Dor. These a...
http://arxiv.org/abs/1508.03490v1
1508.03490
2015-08-14
cybersecurity
2D Face Recognition System Based on Selected Gabor Filters and Linear Discriminant Analysis LDA
We present a new approach for face recognition system. The method is based on 2D face image features using subset of non-correlated and Orthogonal Gabor Filters instead of using the whole Gabor Filter Bank, then compressing the output feature vector using Linear Discriminant Analysis (LDA). The face image has been enha...
http://arxiv.org/abs/1503.03741v1
1503.03741
2015-03-12
cybersecurity
2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation
As 3D perception problems grow in popularity and the need for large-scale labeled datasets for LiDAR semantic segmentation increase, new methods arise that aim to reduce the necessity for dense annotations by employing weakly-supervised training. However these methods continue to show weak boundary estimation and high ...
https://arxiv.org/abs/2311.15605v1
2311.15605
2023-11-27
cybersecurity
2-d Fermionic SPT with CRT symmetry
An invariant of SPT-phases with on-site finite group $G$ symmetry for two-dimensional Fermion systems was derived in [O]. This invariant is doubled compared to the conjectured one from the invertible quantum field theory. We show that if we require CRT-symmetry (which holds automatically in quantum field theory) in add...
https://arxiv.org/abs/2212.09038v2
2212.09038
2022-12-18
cybersecurity
2D Fermion on the Strip with Boundary Defects as a CFT with Excited Spin Fields
We consider a two-dimensional fermion on the strip in the presence of an arbitrary number of zero-dimensional boundary changing defects. We show that the theory is still conformal with time dependent stress-energy tensor and that the allowed defects can be understood as excited spin fields. Finally we compute correlati...
http://arxiv.org/abs/1912.07617v1
1912.07617
2019-12-16
cybersecurity
2D Fermions and Statistical Mechanics: Critical Dimers and Dirac Fermions in a background gauge field
In the limit of the lattice spacing going to zero, we consider the dimer model on isoradial graphs in the presence of singular $SL(N,\mathbb{C})$ gauge fields flat away from a set of punctures. We consider the cluster expansion of this twisted dimer partition function show it matches an analogous cluster expansion of t...
https://arxiv.org/abs/2208.10640v2
2208.10640
2022-08-22
cybersecurity