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This paper proposes a visual analytics framework that addresses the complex user interactions required through a command-line interface to run analyses in distributed data analysis systems. The visual analytics framework facilitates the…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-11-12 Abdullah-Al-Raihan Nayeem , Mohammed Elshambakey , Todd Dobbs , Huikyo Lee , Daniel Crichton , Yimin Zhu , Chanachok Chokwitthaya , William J. Tolone , Isaac Cho

Visual-inertial odometry (VIO) is widely used in various fields, such as robots, drones, and autonomous vehicles. However, real-world scenes often feature dynamic objects, compromising the accuracy of VIO. The diversity and partial…

Computer Vision and Pattern Recognition · Computer Science 2025-03-04 Rui Zhou , Jingbin Liu , Junbin Xie , Jianyu Zhang , Yingze Hu , Jiele Zhao

There have been significant innovations in media technologies in the recent years. While these developments have improved experiences for individual users, design of multi-user interfaces still remains a challenge. A relatively unexplored…

Human-Computer Interaction · Computer Science 2018-11-20 Sumit Shekhar , Aditya Siddhant , Anindya Shankar Bhandari , Nishant Yadav

There is an increased emphasis on visualizing neuroimaging results in more intuitive ways. Common statistical tools for dissemination, such as bar charts, lack the spatial dimension that is inherent in neuroimaging data. Here we present two…

Other Statistics · Statistics 2019-12-19 Athanasia M. Mowinckel , Didac Vidal-Piñeiro

DADApy is a python software package for analysing and characterising high-dimensional data manifolds. It provides methods for estimating the intrinsic dimension and the probability density, for performing density-based clustering and for…

The copious scientific literature produced after the detection of GW170817 electromagnetic counterpart demonstrated the importance of a prompt and accurate localization of the gravitational wave within the co-moving volume. In this letter,…

Instrumentation and Methods for Astrophysics · Physics 2022-09-14 Stefano Rinaldi , Walter Del Pozzo

We propose a new volumetric grasp model that is equivariant to rotations around the vertical axis, leading to a significant improvement in sampling efficiency. Our model employs a tri-plane volumetric feature representation -- i.e., the…

Robotics · Computer Science 2026-05-12 Pinhao Song , Yutong Hu , Pengteng Li , Renaud Detry

PymePix is a new Python 3 library that provides control and acquisition for the Timepix3-SPIDR hardware. The rich set of data-structures and intuitive routines reduces time and coding effort to quickly configure, acquire, and visualize data…

The goal of this paper is twofold. Firstly, we present F-VIPGI, a new version of the VIMOS Interactive Pipeline and Graphical Interface (VIPGI) adapted to handle FORS2 spectroscopic data. Secondly, we investigate the spectro-photometric…

Instrumentation and Methods for Astrophysics · Physics 2015-06-12 Alessandro Nastasi , Marco Scodeggio , Rene Fassbender , Hans Boehringer , Daniele Pierini , Miguel Verdugo , Bianca Garilli , Paolo Franzetti

The task of synthesizing novel views from a single image has useful applications in virtual reality and mobile computing, and a number of approaches to the problem have been proposed in recent years. A Multiplane Image (MPI) estimates the…

Computer Vision and Pattern Recognition · Computer Science 2023-09-26 Numair Khan , Douglas Lanman , Lei Xiao

We present pyroomacoustics, a software package aimed at the rapid development and testing of audio array processing algorithms. The content of the package can be divided into three main components: an intuitive Python object-oriented…

Sound · Computer Science 2019-05-08 Robin Scheibler , Eric Bezzam , Ivan Dokmanić

AsaPy is a custom-made Python library designed to simplify and optimize the analysis of aerospace simulation data. Instead of introducing new methodologies, it excels in combining various established techniques, creating a unified,…

Functional 3D scene graphs offer a versatile and flexible representation for 3D scene understanding and robotic manipulation, defined by object nodes, interactive elements, and functional relationship edges. However, their potential remains…

3D-aware image synthesis aims to generate images of objects from multiple views by learning a 3D representation. However, one key challenge remains: existing approaches lack geometry constraints, hence usually fail to generate multi-view…

Computer Vision and Pattern Recognition · Computer Science 2022-04-14 Xuanmeng Zhang , Zhedong Zheng , Daiheng Gao , Bang Zhang , Pan Pan , Yi Yang

Systems that support users in the automatic creation of visualizations must address several subtasks - understand the semantics of data, enumerate relevant visualization goals and generate visualization specifications. In this work, we pose…

Artificial Intelligence · Computer Science 2023-06-07 Victor Dibia

End-to-end autonomous driving has evolved from the conventional paradigm based on sparse perception into vision-language-action (VLA) models, which focus on learning language descriptions as an auxiliary task to facilitate planning. In this…

Computer Vision and Pattern Recognition · Computer Science 2026-04-27 Sicheng Zuo , Zixun Xie , Wenzhao Zheng , Shaoqing Xu , Fang Li , Hanbing Li , Long Chen , Zhi-Xin Yang , Jiwen Lu

Video Scene Graph Generation (VidSGG) aims to capture dynamic relationships among entities by sequentially analyzing video frames and integrating visual and semantic information. However, VidSGG is challenged by significant biases that skew…

Computer Vision and Pattern Recognition · Computer Science 2025-04-08 Yanjun Li , Zhaoyang Li , Honghui Chen , Lizhi Xu

To aid the understanding of the non-linear relationship between galaxy properties and predicted spectral energy distributions (SED), we present a new interactive graphical user interface (GUI) tool pipes_vis based on Bagpipes…

Astrophysics of Galaxies · Physics 2021-07-28 Ho-Hin Leung , Vivienne Wild , Adam Carnall , Michail Papathomas

Although machine learning is increasingly applied in control approaches, only few methods guarantee certifiable safety, which is necessary for real world applications. These approaches typically rely on well-understood learning algorithms,…

Machine Learning · Computer Science 2020-06-16 Armin Lederer , Markus Kessler , Sandra Hirche
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