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This paper presents ADAMANT, a set of software modules that provides grasp planning capabilities to an existing robot planning and control software framework. Our presented work allows a user to adapt a manipulation task to be used under…

Robotics · Computer Science 2022-09-16 Ana Huamán Quispe , Stephen Hart , Seth Gee , Robert R. Burridge

Visual correspondence is a fundamental building block on the way to building assistive tools for hand-drawn animation. However, while a large body of work has focused on learning visual correspondences at the pixel-level, few approaches…

Computer Vision and Pattern Recognition · Computer Science 2021-09-09 Evan Casey , Víctor Pérez , Zhuoru Li , Harry Teitelman , Nick Boyajian , Tim Pulver , Mike Manh , William Grisaitis

This paper presents RadAround, a passive 2-D direction-finding system designed for adversarial IoT sensing in contested environments. Using mechanically steered narrow-beam antennas and field-deployable SCADA software, it generates…

Signal Processing · Electrical Eng. & Systems 2026-01-05 Owen A. Maute , Blake A. Roberts , Berker Peköz

We announce the public release of PynPoint, a Python package that we have developed for analysing exoplanet data taken with the angular differential imaging observing technique. In particular, PynPoint is designed to model the point spread…

Earth and Planetary Astrophysics · Physics 2014-05-15 Adam Amara , Sascha P. Quanz , Joel Akeret

Multi-modal remote sensing imagery provides complementary observations of the same geographic scene, yet such observations are frequently incomplete in practice. Existing cross-modal translation methods treat each modality pair as an…

Computer Vision and Pattern Recognition · Computer Science 2026-05-26 Haoyang Chen , Jing Zhang , Hebaixu Wang , Shiqin Wang , Pohsun Huang , Jiayuan Li , Haonan Guo , Di Wang , Zheng Wang , Bo Du

Simulation is a widely used tool in robotics to reduce hardware consumption and gather large-scale data. Despite previous efforts to simulate optical tactile sensors, there remain challenges in efficiently synthesizing images and…

Robotics · Computer Science 2024-05-02 Yongqiang Zhao , Kun Qian , Boyi Duan , Shan Luo

Deep neural networks (DNNs) offer significant promise for improving breast cancer diagnosis in medical imaging. However, these models are highly susceptible to adversarial attacks--small, imperceptible changes that can mislead…

Computer Vision and Pattern Recognition · Computer Science 2024-12-16 Yasamin Medghalchi , Moein Heidari , Clayton Allard , Leonid Sigal , Ilker Hacihaliloglu

ATHENA is an open source Python package for reduction in parameter space. It implements several advanced numerical analysis techniques such as Active Subspaces (AS), Kernel-based Active Subspaces (KAS), and Nonlinear Level-set Learning…

Numerical Analysis · Mathematics 2022-04-19 Francesco Romor , Marco Tezzele , Gianluigi Rozza

The Sentinel-2 (S2) mission from the European Space Agency's Copernicus program provides essential data for Earth surface analysis. Its Level-2A products deliver high-to-medium resolution (10-60 m) surface reflectance (SR) data through the…

Computer Vision and Pattern Recognition · Computer Science 2024-06-24 David Montero , Miguel D. Mahecha , César Aybar , Clemens Mosig , Sebastian Wieneke

Pose guided person image generation means to generate a photo-realistic person image conditioned on an input person image and a desired pose. This task requires spatial manipulation of the source image according to the target pose. However,…

Computer Vision and Pattern Recognition · Computer Science 2020-11-10 Chengkang Shen , Peiyan Wang , Wei Tang

RTS2 is an open source observatory manager. It was written from scratch in the C++ language, with portability and modularity in mind. Its driving requirements originated from quick follow-ups of Gamma Ray Bursts. After some years of…

Instrumentation and Methods for Astrophysics · Physics 2010-05-07 Petr Kubánek

ATLASv2 is based on a previously generated dataset included in "ATLAS: A Sequence-based Learning Approach for Attack Investigation." The original ATLAS dataset is comprised of Windows Security Auditing system logs, Firefox logs, and DNS…

Cryptography and Security · Computer Science 2024-01-04 Andy Riddle , Kim Westfall , Adam Bates

The response of RPC detectors is highly sensitive to environmental variables. A novel approach is presented to model the response of RPC detectors in a variety of experimental conditions. The algorithm, based on Artificial Neural Networks,…

Advanced Persistent Threats (APTs) are difficult to detect due to their complexity and stealthiness. To mitigate such attacks, many approaches model entities and their relationship using provenance graphs to detect the stealthy and…

Cryptography and Security · Computer Science 2026-01-06 Wenhao Yan , Ning An , Wei Qiao , Weiheng Wu , Bo Jiang , Zhigang Lu , Baoxu Liu , Junrong Liu

We present the scientific performance results of PynPoint, our Python-based software package that uses principle component analysis to detect and estimate the flux of exoplanets in two dimensional imaging data. Recent advances in adaptive…

Instrumentation and Methods for Astrophysics · Physics 2015-06-05 Adam Amara , Sascha Quanz

Utilizing satellite imagery for wildfire detection presents substantial potential for practical applications. To advance the development of machine learning algorithms in this domain, our study introduces the \textit{Sen2Fire} dataset--a…

Computer Vision and Pattern Recognition · Computer Science 2024-12-11 Yonghao Xu , Amanda Berg , Leif Haglund

The characteristics of the Solid-state Neutron Detector, under development for neutron-scattering measurements at the European Spallation Source, have been simulated with a Geant4-based computer code. The code models the interations of…

The ANTARES Collaboration is building a high-energy neutrino telescope at 2500 m depth in the Mediterranean Sea. The experiment aims to search for high-energy cosmic neutrinos through the detection of Cerenkov light induced by muons and…

Astrophysics · Physics 2007-10-30 Y. Becherini

A fast simulation method is presented for a depleted monolithic active pixel sensor, which uses a data driven parameterization of the charge collection and propagation. This approach provides an efficient alternative to TCAD simulations,…

We present a Python-based renderer built on NVIDIA's OptiX ray tracing engine and the OptiX AI denoiser, designed to generate high-quality synthetic images for research in computer vision and deep learning. Our tool enables the description…

Computer Vision and Pattern Recognition · Computer Science 2021-05-31 Nathan Morrical , Jonathan Tremblay , Yunzhi Lin , Stephen Tyree , Stan Birchfield , Valerio Pascucci , Ingo Wald