咨询与建议

限定检索结果

文献类型

  • 57 篇 期刊文献
  • 45 篇 会议

馆藏范围

  • 102 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 69 篇 工学
    • 52 篇 计算机科学与技术...
    • 45 篇 软件工程
    • 23 篇 生物工程
    • 21 篇 光学工程
    • 17 篇 信息与通信工程
    • 12 篇 控制科学与工程
    • 9 篇 电气工程
    • 9 篇 生物医学工程(可授...
    • 5 篇 土木工程
    • 4 篇 化学工程与技术
    • 3 篇 机械工程
    • 3 篇 电子科学与技术(可...
    • 3 篇 建筑学
    • 3 篇 交通运输工程
    • 2 篇 材料科学与工程(可...
    • 2 篇 农业工程
    • 2 篇 环境科学与工程(可...
  • 52 篇 理学
    • 23 篇 生物学
    • 19 篇 数学
    • 18 篇 物理学
    • 10 篇 统计学(可授理学、...
    • 7 篇 系统科学
    • 4 篇 化学
  • 17 篇 管理学
    • 9 篇 图书情报与档案管...
    • 7 篇 管理科学与工程(可...
    • 5 篇 工商管理
  • 6 篇 医学
    • 6 篇 临床医学
    • 4 篇 基础医学(可授医学...
  • 4 篇 法学
    • 4 篇 社会学
  • 2 篇 经济学
    • 2 篇 应用经济学
  • 2 篇 教育学
  • 1 篇 农学

主题

  • 9 篇 deep learning
  • 6 篇 computer vision
  • 6 篇 training
  • 5 篇 semantics
  • 4 篇 object detection
  • 3 篇 three-dimensiona...
  • 3 篇 image segmentati...
  • 3 篇 predictive model...
  • 3 篇 feature extracti...
  • 3 篇 machine learning
  • 3 篇 estimation
  • 3 篇 solid modeling
  • 2 篇 task analysis
  • 2 篇 vectors
  • 2 篇 numerical simula...
  • 2 篇 duality
  • 2 篇 visualization
  • 2 篇 linear matrix in...
  • 2 篇 pixels
  • 2 篇 benchmarking

机构

  • 4 篇 computer vision ...
  • 4 篇 division of medi...
  • 3 篇 department of in...
  • 3 篇 centre for medic...
  • 3 篇 heidelberg divis...
  • 3 篇 fraunhofer mevis...
  • 3 篇 department of co...
  • 3 篇 vision learning ...
  • 3 篇 munich center fo...
  • 3 篇 ihu strasbourg s...
  • 3 篇 centre for biome...
  • 3 篇 diagnostic image...
  • 3 篇 interactive mach...
  • 3 篇 heidelberg
  • 2 篇 department of ph...
  • 2 篇 electrical engin...
  • 2 篇 school of mathem...
  • 2 篇 university of sc...
  • 2 篇 department of co...
  • 2 篇 institute of pub...

作者

  • 5 篇 jäger paul f.
  • 5 篇 isensee fabian
  • 5 篇 cremers daniel
  • 4 篇 zimmerer david
  • 4 篇 hare jonathon
  • 4 篇 reid ian
  • 4 篇 petersen jens
  • 4 篇 maier-hein klaus...
  • 4 篇 fleuret françois
  • 3 篇 bakas spyridon
  • 3 篇 galdran adrian
  • 3 篇 van ginneken bra...
  • 3 篇 wu yihong
  • 3 篇 françois fleuret
  • 3 篇 p. rapisarda
  • 3 篇 pollefeys marc
  • 3 篇 gall juergen
  • 3 篇 baumgartner mich...
  • 3 篇 rapisarda p.
  • 3 篇 carneiro gustavo

语言

  • 100 篇 英文
  • 2 篇 其他
检索条件"机构=Computer Vision and Learning Group"
102 条 记 录,以下是21-30 订阅
排序:
Beyond the Known: Adversarial Autoencoders in Novelty Detection
arXiv
收藏 引用
arXiv 2024年
作者: Asad, Muhammad Ullah, Ihsan Sistu, Ganesh Madden, Michael G. Machine Learning Research Group School of Computer Science University of Galway Ireland Insight SFI Research Centre for Data Analytics University of Galway Ireland Valeo Vision Systems Tuam Ireland
In novelty detection, the goal is to decide if a new data point should be categorized as an inlier or an outlier, given a training dataset that primarily captures the inlier distribution. Recent approaches typically u... 详细信息
来源: 评论
Depth Estimation using Weighted-loss and Transfer learning
arXiv
收藏 引用
arXiv 2024年
作者: Hafeez, Muhammad Adeel Madden, Michael G. Sistu, Ganesh Ullah, Ihsan Machine Learning Research Group School of Computer Science University of Galway Ireland Insight SFI Research Centre for Data Analytics University of Galway Ireland Valeo Vision Systems Tuam Ireland
Depth estimation from 2D images is a common computer vision task that has applications in many fields including autonomous vehicles, scene understanding and robotics. The accuracy of a supervised depth estimation meth... 详细信息
来源: 评论
Mask3D: Mask Transformer for 3D Semantic Instance Segmentation
arXiv
收藏 引用
arXiv 2022年
作者: Schult, Jonas Engelmann, Francis Hermans, Alexander Litany, Or Tang, Siyu Leibe, Bastian Computer Vision Group RWTH Aachen University Germany Computer Vision and Learning Group ETH Zürich Switzerland ETH AI Center Zürich Switzerland NVIDIA Santa Clara United States
Modern 3D semantic instance segmentation approaches predominantly rely on specialized voting mechanisms followed by carefully designed geometric clustering techniques. Building on the successes of recent Transformer-b... 详细信息
来源: 评论
Blessemflood21: Advancing Flood Analysis with a High-Resolution Georeferenced Dataset for Humanitarian Aid Support
Blessemflood21: Advancing Flood Analysis with a High-Resolut...
收藏 引用
IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)
作者: Vladyslav Polushko Alexander Jenal Jens Bongartz Immanuel Weber Damjan Hatic Ronald Rösch Thomas März Markus Rauhut Andreas Weinmann Image Processing Department Fraunhofer ITWM Kaiserslautern Germany Working Group Algorithms for Computer Vision Imaging and Data Analysis Darmstadt Germany Center for Machine Learning and Sensor Technology Hochschule Koblenz Remagen Germany
Floods are an increasingly common global threat, causing emergencies and severe damage to infrastructure. During crises, organisations such as the World Food Programme use remotely sensed imagery, typically obtained t... 详细信息
来源: 评论
Fréchet Wavelet Distance: A Domain-Agnostic Metric for Image Generation
arXiv
收藏 引用
arXiv 2023年
作者: Veeramacheneni, Lokesh Wolter, Moritz Kuehne, Hildegard Gall, Juergen High-Performance Computing and Analytics Lab University of Bonn Bonn53115 Germany Multimodal Learning Group University of Bonn Bonn53115 Germany Computer Vision Group University of Bonn Bonn53115 Germany
Modern metrics for generative learning like Fréchet Inception Distance (FID) demonstrate impressive performance. However, they suffer from various shortcomings, like a bias towards specific generators and dataset... 详细信息
来源: 评论
Exploring the potential of collaborative UAV 3D mapping in Kenyan savanna for wildlife research
arXiv
收藏 引用
arXiv 2024年
作者: Shukla, Vandita Morelli, Luca Trybala, Pawel Remondino, Fabio Gan, Wentian Yu, Yifei Wang, Xin Trento Italy Computer Vision and Machine Learning Systems Group Institute for Geoinformatics University of Muenster Germany Dept. of Civil Environmental and Mechanical Engineering University of Trento Italy School of Geodesy and Geomatics Wuhan University China
UAV-based biodiversity conservation applications have exhibited many data acquisition advantages for researchers. UAV platforms with embedded data processing hardware can support conservation challenges through 3D hab... 详细信息
来源: 评论
BLESSEMFLOOD21: ADVANCING FLOOD ANALYSIS WITH A HIGH-RESOLUTION GEOREFERENCED DATASET FOR HUMANITARIAN AID SUPPORT
arXiv
收藏 引用
arXiv 2024年
作者: Polushko, Vladyslav Jenal, Alexander Bongartz, Jens Weber, Immanuel Hatic, Damjan Rösch, Ronald März, Thomas Rauhut, Markus Weinmann, Andreas Image Processing Department Fraunhofer ITWM Kaiserslautern Germany Working Group Algorithms for Computer Vision Imaging and Data Analysis Hochschule Darmstadt Darmstadt Germany Center for Machine Learning and Sensor Technology Hochschule Koblenz Remagen Germany
Floods are an increasingly common global threat, causing emergencies and severe damage to infrastructure. During crises, organisations such as the World Food Programme use remotely sensed imagery, typically obtained t... 详细信息
来源: 评论
learning-based Relational Object Matching Across Views
Learning-based Relational Object Matching Across Views
收藏 引用
IEEE International Conference on Robotics and Automation (ICRA)
作者: Cathrin Elich Iro Armeni Martin R. Oswald Marc Pollefeys Joerg Stueckler Embodied Vision Group Max Planck Institute for Intelligent Systems Tuebingen Germany Max Planck ETH Center for Learning Systems Computer Vision and Geometry Lab ETH Zurich Switzerland University of Amsterdam Netherlands Microsoft Mixed Reality and AI Lab Zurich Switzerland
Intelligent robots require object-level scene understanding to reason about possible tasks and interactions with the environment. Moreover, many perception tasks such as scene reconstruction, image retrieval, or place...
来源: 评论
Achachay App: a community-driven innovation for flood data collection in urban and rural areas
Achachay App: a community-driven innovation for flood data c...
收藏 引用
International Conference on Technological Innovation and AI Research (ICTIAIR 2025)
作者: Ariana Deyaneira Jiménez-Narváez Jonathan Javier Loor-Duque Diego Josue Andrade-Pelaez Manuel Eugenio Morocho-Cayamcela Raisa Torres-Ramírez Deep Learning for Autonomous Driving Robotics and Computer Vision Research Group (DeepARC) School of Mathematical and Computational Sciences Yachay Tech University San Miguel de Urcuquí Ecuador Applied Geology and Research Group School of Geological Sciences Energy and Environment Yachay Tech University San Miguel de Urcuquí Ecuador
Floods are among the most frequent and devastating natural disasters, significantly impacting urban and rural communities worldwide. Achachay App is a mobile application designed to enhance flood data collection and a...
来源: 评论
learning-based Relational Object Matching Across Views
arXiv
收藏 引用
arXiv 2023年
作者: Elich, Cathrin Armeni, Iro Oswald, Martin R. Pollefeys, Marc Stueckler, Joerg Embodied Vision Group Max Planck Institute for Intelligent Systems Tuebingen Germany The Max Planck ETH Center for Learning Systems The Computer Vision and Geometry Lab ETH Zurich Switzerland University of Amsterdam Netherlands Microsoft Mixed Reality and AI Lab Zurich Switzerland
Intelligent robots require object-level scene understanding to reason about possible tasks and interactions with the environment. Moreover, many perception tasks such as scene reconstruction, image retrieval, or place... 详细信息
来源: 评论