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A new initiative from the International Swaps and Derivatives Association (ISDA) aims to establish a "Common Domain Model" (ISDA CDM): a new standard for data and process representation across the full range of derivatives instruments.…

Software Engineering · Computer Science 2018-03-09 Christopher D. Clack

Line segment detection plays a cornerstone role in computer vision tasks. Among numerous detection methods that have been recently proposed, the ones based on edge drawing attract increasing attention owing to their excellent detection…

Computer Vision and Pattern Recognition · Computer Science 2023-05-11 Xinyu Lin , Yingjie Zhou , Yipeng Liu , Ce Zhu

The Silicon Vertex Detector of Belle II is a state-of-the-art tracking and vertexing system based on double-sided silicon strip sensors, designed and fabricated by a large international collaboration in the period 2012--2018. Since 2019 it…

Instrumentation and Detectors · Physics 2022-12-06 Francesco Forti

The D0 detector at Fermilab is in the final stages of an extensive upgrade. It is designed to meet the demands imposed by high luminosity Tevatron running planned to begin March 2001. The design and performance of the detector subsystems…

High Energy Physics - Experiment · Physics 2009-09-25 John Ellison

In recent years, 3D object perception has become a crucial component in the development of autonomous driving systems, providing essential environmental awareness. However, as perception tasks in autonomous driving evolve, their variants…

Computer Vision and Pattern Recognition · Computer Science 2024-08-30 Yu Wang , Shaohua Wang , Yicheng Li , Mingchun Liu

A silicon microstrip detector (SSD) has been developed to have state of the art spatial resolution and a large sensitive area under stringent power constraints. The design incorporates three floating strips with their bias resistors…

Some preliminary thoughts on how to design and develop the DAQ architecture for the Silicon tracking system at the future Linear electron positron collider, are briefly presented here. The proposed structure includes three DAQ levels. The…

In this work, we present a novel Sports Ball Detection and Tracking (SBDT) method that can be applied to various sports categories. Our approach is composed of (1) high-resolution feature extraction, (2) position-aware model training, and…

Computer Vision and Pattern Recognition · Computer Science 2023-11-17 Shuhei Tarashima , Muhammad Abdul Haq , Yushan Wang , Norio Tagawa

A PFA has been developed for the SiD detector concept at a future Linear Collider. The performance of the version of this PFA used in the SiD LOI is presented for a number of physics processes with two hadronic jets. Presented at LCWS08.

Data Analysis, Statistics and Probability · Physics 2009-02-16 M. J. Charles

We present a Deep Cuboid Detector which takes a consumer-quality RGB image of a cluttered scene and localizes all 3D cuboids (box-like objects). Contrary to classical approaches which fit a 3D model from low-level cues like corners, edges,…

Computer Vision and Pattern Recognition · Computer Science 2016-12-01 Debidatta Dwibedi , Tomasz Malisiewicz , Vijay Badrinarayanan , Andrew Rabinovich

Computer vision is developing rapidly with the support of deep learning techniques. This thesis proposes an advanced vehicle-detection model based on an improvement to classical convolutional neural networks. The advanced model was applied…

Computer Vision and Pattern Recognition · Computer Science 2019-06-03 Yao Xiao

Autonomous driving is regarded as one of the most promising remedies to shield human beings from severe crashes. To this end, 3D object detection serves as the core basis of perception stack especially for the sake of path planning, motion…

Computer Vision and Pattern Recognition · Computer Science 2026-02-09 Rui Qian , Xin Lai , Xirong Li

This report details the present status of the Accelerator design for the SuperB Project. It is one of four separate progress reports that, taken collectively, describe progress made on the SuperB Project since the publication of the SuperB…

Accelerator Physics · Physics 2011-08-26 SuperB Collaboration , Maria Enrica Biagini , Pantaleo Raimondi , John Seeman

4-dimensional (4D) trackers with ultra fast timing (10-30 ps) and very fine spatial resolution (O(few $\mu$m)) represent a new avenue in the development of silicon trackers, enabling new physics capabilities beyond the reach of the existing…

Most published Information Systems research are of the behavioral science research (BSR) category rather than the design science research (DSR) category. This is due in part to the BSR orientation of many IS doctoral programs, which often…

Computers and Society · Computer Science 2024-08-15 Kweku-Muata Osei-Bryson

CMOS Pixel Sensors are making steady progress towards the specifications of the ILD vertex detector. Recent developments are summarised, which show that these devices are close to comply with all major requirements, in particular the…

Object detection is one of the most important and challenging branches of computer vision, which has been widely applied in peoples life, such as monitoring security, autonomous driving and so on, with the purpose of locating instances of…

Computer Vision and Pattern Recognition · Computer Science 2019-10-18 Licheng Jiao , Fan Zhang , Fang Liu , Shuyuan Yang , Lingling Li , Zhixi Feng , Rong Qu

The SiD concept is one of two proposed detectors to be mounted at the interaction region of the International Linear Collider (ILC). A substantial ILC background arises from low transverse momentum $\mathrm{e}^{+}\mathrm{e}^{-}$ pairs…

Instrumentation and Detectors · Physics 2016-09-27 Timothy Barklow , Luc d`Hautuille , Christopher Milke , Bruce Schumm , Anne Schütz , Marcel Stanitzki , Jan Strube

Despite increasing efforts on universal representations for visual recognition, few have addressed object detection. In this paper, we develop an effective and efficient universal object detection system that is capable of working on…

Computer Vision and Pattern Recognition · Computer Science 2019-07-09 Xudong Wang , Zhaowei Cai , Dashan Gao , Nuno Vasconcelos

Over the past decade deep learning has driven progress in 2D image understanding. Despite these advancements, techniques for automatic 3D sensed data understanding, such as point clouds, is comparatively immature. However, with a range of…

Computer Vision and Pattern Recognition · Computer Science 2019-07-11 David Griffiths , Jan Boehm