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A working group on detector simulation was formed as part of the high-energy physics (HEP) Software Foundation's initiative to prepare a Community White Paper that describes the main software challenges and opportunities to be faced in the…

Three types of high rate neutrino detectors for neutrino interaction physics at neutrino factories are discussed. High performance general-purpose detectors might collect event samples on the order of a billion events or more. This could…

High Energy Physics - Experiment · Physics 2009-10-31 Bruce J. King

Within the next decade, experimental High Energy Physics (HEP) will enter a new era of scientific discovery through a set of targeted programs recommended by the Particle Physics Project Prioritization Panel (P5), including the upcoming…

Data Analysis, Statistics and Probability · Physics 2022-03-23 S. C. Tognini , P. Canal , T. M. Evans , G. Lima , A. L. Lund , S. R. Johnson , S. Y. Jun , V. R. Pascuzzi , P. K. Romano

Geant4, the leading detector simulation toolkit used in high energy physics, employs a set of physics models to simulate interactions of particles with matter across a wide range of energies. These models, especially the hadronic ones, rely…

High Energy Physics - Experiment · Physics 2023-09-25 Krzysztof Genser , Soon Yung Jun , Alberto Ribon , Vladimir Uzhinsky , Julia Yarba

The FASER experiment at CERN has opened a new window in collider neutrino physics by detecting TeV-energy neutrinos produced in the forward direction at the LHC. Building on this success, this document outlines the scientific case and…

High Energy Physics - Experiment · Physics 2025-03-26 FASER Collaboration , Roshan Mammen Abraham , Xiaocong Ai , Saul Alonso-Monsalve , John Anders , Claire Antel , Akitaka Ariga , Tomoko Ariga , Jeremy Atkinson , Florian U. Bernlochner , Tobias Boeckh , Jamie Boyd , Lydia Brenner , Angela Burger , Franck Cadoux , Roberto Cardella , David W. Casper , Charlotte Cavanagh , Xin Chen , Dhruv Chouhan , Sebastiani Christiano , Andrea Coccaro , Stephane Débieux , Monica D'Onofrio , Ansh Desai , Sergey Dmitrievsky , Radu Dobre , Sinead Eley , Yannick Favre , Jonathan L. Feng , Carlo Alberto Fenoglio , Didier Ferrere , Max Fieg , Wissal Filali , Elena Firu , Edward Galantay , Ali Garabaglu , Stephen Gibson , Sergio Gonzalez-Sevilla , Yuri Gornushkin , Carl Gwilliam , Daiki Hayakawa , Michael Holzbock , Shih-Chieh Hsu , Zhen Hu , Giuseppe Iacobucci , Tomohiro Inada , Luca Iodice , Sune Jakobsen , Hans Joos , Enrique Kajomovitz , Hiroaki Kawahara , Alex Keyken , Felix Kling , Daniela Köck , Pantelis Kontaxakis , Umut Kose , Rafaella Kotitsa , Peter Krack , Susanne Kuehn , Thanushan Kugathasan , Lorne Levinson , Botao Li , Jinfeng Liu , Yi Liu , Margaret S. Lutz , Jack MacDonald , Chiara Magliocca , Toni Mäkelä , Yasuhiro Maruya , Lawson McCoy , Josh McFayden , Andrea Pizarro Medina , Matteo Milanesio , Théo Moretti , Mitsuhiro Nakamura , Toshiyuki Nakano , Laurie Nevay , Ken Ohashi , Hidetoshi Otono , Hao Pang , Lorenzo Paolozzi , Pawan Pawan , Brian Petersen , Titi Preda , Markus Prim , Michaela Queitsch-Maitland , Juan Rojo , Hiroki Rokujo , André Rubbia , Jorge Sabater-Iglesias , Osamu Sato , Paola Scampoli , Kristof Schmieden , Matthias Schott , Anna Sfyrla , Davide Sgalaberna , Mansoora Shamim , Savannah Shively , Yosuke Takubo , Noshin Tarannum , Ondrej Theiner , Simon Thor , Eric Torrence , Oscar Ivan Valdes Martinez , Svetlana Vasina , Benedikt Vormwald , Yuxiao Wang , Eli Welch , Monika Wielers , Benjamin James Wilson , Jialin Wu , Johannes Martin Wuthrich , Yue Xu , Samuel Zahorec , Stefano Zambito , Shunliang Zhang , Xingyu Zhao

Currently, vision encoder models like Vision Transformers (ViTs) typically excel at image recognition tasks but cannot simultaneously support text recognition like human visual recognition. To address this limitation, we propose UNIT, a…

Computer Vision and Pattern Recognition · Computer Science 2024-09-09 Yi Zhu , Yanpeng Zhou , Chunwei Wang , Yang Cao , Jianhua Han , Lu Hou , Hang Xu

Traditional systems typically require different models for processing different modalities, such as one model for RGB images and another for depth images. Recent research has demonstrated that a single model for one modality can be adapted…

Computer Vision and Pattern Recognition · Computer Science 2023-05-09 Xiaoke Shen , Ioannis Stamos

For 3D object detection, both camera and lidar have been demonstrated to be useful sensory devices for providing complementary information about the same scenery with data representations in different modalities, e.g., 2D RGB image vs 3D…

Computer Vision and Pattern Recognition · Computer Science 2023-11-08 Xinhao Xiang , Jiawei Zhang

This document is on Geant4 visualization tools (drivers), evaluating pros and cons of each option, including recommendations on which tools to support at Fermilab for different applications{\cite{Daniel}}. Four visualization drivers are…

Instrumentation and Detectors · Physics 2008-07-01 Andy Beretvas

All instance perception tasks aim at finding certain objects specified by some queries such as category names, language expressions, and target annotations, but this complete field has been split into multiple independent subtasks. In this…

Computer Vision and Pattern Recognition · Computer Science 2023-08-21 Bin Yan , Yi Jiang , Jiannan Wu , Dong Wang , Ping Luo , Zehuan Yuan , Huchuan Lu

Through the last three decades, accurate simulation of the interactions of particles with matter and modeling of detector geometries has proven to be of critical importance to the success of the international high-energy physics (HEP)…

High Energy Physics - Experiment · Physics 2017-08-17 V. Daniel Elvira

The neutrino physics program at the LHC, which will soon be initiated by the FASER experiment, will provide unique opportunities for precision studies of neutrino interaction vertices at high energies. This will also open up the possibility…

High Energy Physics - Phenomenology · Physics 2021-05-25 Krzysztof Jodłowski , Sebastian Trojanowski

Three-dimensional perception from multi-view cameras is a crucial component in autonomous driving systems, which involves multiple tasks like 3D object detection and bird's-eye-view (BEV) semantic segmentation. To improve perception…

Computer Vision and Pattern Recognition · Computer Science 2024-09-19 Zhongyu Xia , ZhiWei Lin , Xinhao Wang , Yongtao Wang , Yun Xing , Shengxiang Qi , Nan Dong , Ming-Hsuan Yang

Effective data visualization is a key part of the discovery process in the era of big data. It is the bridge between the quantitative content of the data and human intuition, and thus an essential component of the scientific path from data…

Recent advancements in neural rendering technologies and their supporting devices have paved the way for immersive 3D experiences, significantly transforming human interaction with intelligent devices across diverse applications. However,…

Graphics · Computer Science 2025-04-01 Chaojian Li , Sixu Li , Linrui Jiang , Jingqun Zhang , Yingyan Celine Lin

Fusing LiDAR and image features in a homogeneous BEV domain has become popular for 3D object detection in autonomous driving. However, this paradigm is constrained by the excessive feature compression. While some works explore dense voxel…

Computer Vision and Pattern Recognition · Computer Science 2025-03-18 Xuzhong Hu , Zaipeng Duan , Pei An , Jun zhang , Jie Ma

The version 3.0 of the DELPHES fast-simulation is presented. The goal of DELPHES is to allow the simulation of a multipurpose detector for phenomenological studies. The simulation includes a track propagation system embedded in a magnetic…

High Energy Physics - Experiment · Physics 2014-03-24 J. de Favereau , C. Delaere , P. Demin , A. Giammanco , V. Lemaître , A. Mertens , M. Selvaggi

Geant4 is an object-oriented toolkit for the simulation of the passage of particles through matter. Its development was initially motivated by the requirements of physics experiments at high energy hadron colliders under construction in the…

This paper proposes a non-interactive end-to-end solution for secure fusion and matching of biometric templates using fully homomorphic encryption (FHE). Given a pair of encrypted feature vectors, we perform the following ciphertext…

Computer Vision and Pattern Recognition · Computer Science 2022-08-16 Luke Sperling , Nalini Ratha , Arun Ross , Vishnu Naresh Boddeti

Urban design is a highly visual discipline that requires visualization for informed decision making. However, traditional urban design tools are mostly limited to representations on 2D displays that lack intuitive awareness. The popularity…

Human-Computer Interaction · Computer Science 2021-09-14 Chi Zhang , Wei Zeng , Ligang Liu