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检索条件"机构=Research Center of Machine Learning and Data Analysis"
298 条 记 录,以下是221-230 订阅
排序:
Sports-QA: A Large-Scale Video Question Answering Benchmark for Complex and Professional Sports
arXiv
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arXiv 2024年
作者: Li, Haopeng Deng, Andong Liu, Jun Rahmani, Hossein Guo, Yulan Schiele, Bernt Bennamoun, Mohammed Ke, Qiuhong School of Computing and Information Systems University of Melbourne Australia Center for Research in Computer Vision University of Central Florida United States Pillar Singapore University of Technology and Design Singapore School of Computing and Communications Lancaster University United Kingdom School of Electronics and Communication Engineering Sun Yat-sen University China Department of Computer Vision and Machine Learning Max Planck Institute for Informatics Saarland Informatics Campus Germany School of Physics Maths and Computing University of Western Australia Australia Department of Data Science & AI Monash University Australia
Reasoning over sports videos for question answering is an important task with numerous applications, such as player training and information retrieval. However, this task has not been explored due to the lack of relev... 详细信息
来源: 评论
Florid – a Nationwide Identification Service for Plants from Photos and Habitat Information
SSRN
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SSRN 2024年
作者: Brun, Philipp de Witte, Lucienne Popp, Manuel Richard Zurell, Damaris Karger, Dirk Nikolaus Descombes, Patrice de Lutio, Riccardo Wegner, Jan Dirk Bornand, Christophe Eggenberg, Stefan Olevski, Tasko Zimmermann, Niklaus E. Swiss Federal Research Institute WSL Birmensdorf8903 Switzerland Musée et jardins botaniques cantonaux Lausanne1007 Switzerland Institute of Biochemistry and Biology University of Potsdam Potsdam14469 Germany EcoVision Lab Photogrammetry and Remote Sensing ETH Zurich Zürich8092 Switzerland Department of Mathematical Modeling and Machine Learning University of Zurich Zürich8057 Switzerland InfoFlora Switzerland Bern3013 Switzerland Swiss Data Science Center ETH Zurich Zürich8092 Switzerland University of Basel Switzerland
Citizen science has become key to biodiversity monitoring but critically depends on accurate quality control that is scalable and tailored to the focal region. We developed FlorID, a free-to-use identification service... 详细信息
来源: 评论
Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy
arXiv
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arXiv 2024年
作者: Handa, Palak Mahbod, Amirreza Schwarzhans, Florian Woitek, Ramona Goel, Nidhi Dhir, Manas Chhabra, Deepti Jha, Shreshtha Sharma, Pallavi Thakur, Vijay Chawla, Simarpreet Singh Gunjan, Deepak Kakarla, Jagadeesh Raman, Balasubramanian Research Center for Medical Image Analysis and Artificial Intelligence Department of Medicine Danube Private University Krems Austria Department of Electronics and Communication Engineering Indira Gandhi Delhi Technical University for Women Delhi India Department of Artificial Intelligence and Data Sciences Indira Gandhi Delhi Technical University for Women Delhi India Department of Artificial Intelligence and Machine Learning University School of Automation and Robotics Guru Gobind Singh Indraprastha University Delhi India Department of Electronics and Communication Engineering Delhi Technological University Delhi India Columbia University New YorkNY United States Department of Gastroenterology and HNU All India Institute of Medical Sciences Delhi India Chennai Kancheepuram India Department of Computer Science and Engineering Indian Institute of Technology Roorkee India
We present the Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy. It was virtually organized by the research center for Medical Image analysis and Artificial Intelligenc... 详细信息
来源: 评论
Unlocking the Potential of Digital Pathology: Novel Baselines for Compression
arXiv
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arXiv 2024年
作者: Fischer, Maximilian Neher, Peter Schuffler, Peter Ziegler, Sebastian Xiao, Shuhan Peretzke, Robin Clunie, David Ulrich, Constantin Baumgartner, Michael Muckenhuber, Alexander Almeida, Silvia Dias Gotz, Michael Kleesiek, Jens Nolden, Marco Braren, Rickmer Maier-Hein, Klaus Heidelberg Germany Partner site Heidelberg Germany Faculty of Mathematics and Computer Science Heidelberg University Heidelberg Germany Medical Faculty Heidelberg University Heidelberg Germany Clinic of Diagnostics and Interventional Radiology Section Experimental Radiology Ulm University Medical Centre Ulm Germany Institute of Pathology TUM School of Medicine and Health Technical University of Munich Munich Germany Department of Diagnostic and Interventional Radiology Faculty of Medicine Technical University of Munich Munich Germany University Medicine Essen Essen Germany Partner site Essen Germany Pattern Analysis and Learning Group Department of Radiation Oncology Heidelberg University Hospital Heidelberg Germany NCT Heidelberg a partnership between DKFZ University Medical Center Heidelberg Germany Research Campus M2OLIE Mannheim Germany PixelMed Publishing BangorPA United States Munich Center for Machine Learning Munich Germany Helmholtz Imaging German Cancer Research Center Germany
Digital pathology offers a groundbreaking opportunity to transform clinical practice in histopathological image analysis, yet faces a significant hurdle: the substantial file sizes of pathological Whole Slide Images (... 详细信息
来源: 评论
Astrocytes mediate analogous memory in a multi-layer neuron-astrocytic network
arXiv
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arXiv 2021年
作者: Tsybina, Yuliya Kastalskiy, Innokentiy Krivonosov, Mikhail Zaikin, Alexey Kazantsev, Victor Gorban, Alexander Gordleeva, Susanna Scientific and Educational Mathematical Center 'Mathematics of Future Technology' Lobachevsky State University of Nizhny Novgorod Nizhny Novgorod Russia Laboratory of Autowave Processes Institute of Applied Physics Russian Academy of Sciences Nizhny Novgorod Russia Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia Center for Neurotechnology and Machine Learning Immanuel Kant Baltic Federal University Kaliningrad Russia Neuroscience Research Institute Samara State Medical University Samara Russia Dept of Mathematics Leicester University Leicester United Kingdom Centre for Analysis of Complex Systems Sechenov First Moscow State Medical University Sechenov University Moscow Russia Institute for Women's Health and Department of Mathematics University College London London United Kingdom
Modeling the neuronal processes underlying short-term working memory remains the focus of many theoretical studies in neuroscience. Here we propose a mathematical model of spiking neuron network (SNN) demonstrating ho... 详细信息
来源: 评论
Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures
arXiv
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arXiv 2024年
作者: Kirchhoff, Yannick Rokuss, Maximilian R. Roy, Saikat Kovacs, Balint Ulrich, Constantin Wald, Tassilo Zenk, Maximilian Vollmuth, Philipp Kleesiek, Jens Isensee, Fabian Maier-Hein, Klaus Heidelberg Division of Medical Image Computing Germany Faculty of Mathematics and Computer Science Heidelberg University Germany HIDSS4Health - Helmholtz Information and Data Science School for Health Heidelberg Karlsruhe Germany Medical Faculty Heidelberg Heidelberg University Heidelberg Germany Helmholtz Imaging German Cancer Research Center Heidelberg Germany Clinic for Neuroradiology University Hospital Bonn Bonn Germany Medical Faculty Bonn University of Bonn Bonn Germany University Hospital Essen Essen Germany West German Cancer Center Essen University Hospital Essen Essen Germany Pattern Analysis and Learning Group Department of Radiation Oncology Heidelberg University Hospital Germany
Accurately segmenting thin tubular structures, such as vessels, nerves, roads or concrete cracks, is a crucial task in computer vision. Standard deep learning-based segmentation loss functions, such as Dice or Cross-E... 详细信息
来源: 评论
A Self-Supervised Image Registration Approach for Measuring Local Response Patterns in Metastatic Ovarian Cancer
arXiv
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arXiv 2024年
作者: Machado, Inês P. Reithmeir, Anna Kogl, Fryderyk Rundo, Leonardo Funingana, Gabriel Reinius, Marika Mungmeeprued, Gift Gao, Zeyu McCague, Cathal Kerfoot, Eric Woitek, Ramona Sala, Evis Ou, Yangming Brenton, James Schnabel, Julia Crispin, Mireia Department of Oncology University of Cambridge United Kingdom Cancer Research UK Cambridge Institute University of Cambridge United Kingdom Early Cancer Institute University of Cambridge United Kingdom School of Computation Information & Technology Technical University of Munich Germany Institute of Machine Learning in Biomedical Imaging Helmholtz Munich Germany Department of Information and Electrical Engineering University of Salerno Italy School of Biomedical Engineering & Imaging Sciences King’s College London United Kingdom Research Center for Medical Image Analysis and AI Danube University Austria Department of Radiologic Sciences Università Cattolica del Sacro Cuore Italy Department of Radiology Boston Children’s Hospital Harvard Medical School United States
High-grade serous ovarian carcinoma (HGSOC) is characterised by significant spatial and temporal heterogeneity, typically manifesting at an advanced metastatic stage. A major challenge in treating advanced HGSOC is ef... 详细信息
来源: 评论
sbi reloaded: a toolkit for simulation-based inference workflows
arXiv
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arXiv 2024年
作者: Boelts, Jan Deistler, Michael Gloeckler, Manuel Tejero-Cantero, Álvaro Lueckmann, Jan-Matthis Moss, Guy Steinbach, Peter Moreau, Thomas Muratore, Fabio Linhart, Julia Durkan, Conor Vetter, Julius Miller, Benjamin Kurt Herold, Maternus Ziaeemehr, Abolfazl Pals, Matthijs Gruner, Theo Bischoff, Sebastian Krouglova, Anastasia N. Gao, Richard Lappalainen, Janne K. Mucsányi, Bálint Pei, Felix Schulz, Auguste Stefanidi, Zinovia Rodrigues, Pedro L.C. Schröder, Cornelius Zaid, Faried Abu Beck, Jonas Kapoor, Jaivardhan Greenberg, David S. Gonçalves, Pedro J. Macke, Jakob H. Machine Learning in Science University of Tübingen Germany Tübingen AI Center Germany TransferLab AppliedAI Institute for Europe Germany ML Colab Cluster ML in Science University of Tübingen Germany Google Research United States Helmholtz-Zentrum Dresden-Rossendorf Germany Université Paris-Saclay INRIA CEA Palaiseau France Robert Bosch GmbH Germany School of Informatics University of Edinburgh United Kingdom University of Amsterdam Netherlands Research and Innovation Center BMW Group Germany Institute for Applied Mathematics and Scientific Computing University of the Bundeswehr Munich Germany Aix Marseille INSERM INS France TU Darmstadt Hessian.AI Germany University Hospital Tübingen M3 Research Center Germany Faculty of Science KU Leuven B-3000 Belgium Imec Belgium Methods of Machine Learning University of Tübingen Germany Neuroscience Institute Carnegie Mellon University United States Université Grenoble Alpes INRIA CNRS Grenoble INP LJK France Hertie Institute for AI in Brain Health University of Tübingen Germany Institute of Coastal Systems - Analysis and Modeling Helmholtz AI Germany Departments of Computer Science Electrical Engineering KU Leuven Belgium Department Empirical Inference Max Planck Institute for Intelligent Systems Tübingen Germany
Scientists and engineers use simulators to model empirically observed phenomena. However, tuning the parameters of a simulator to ensure its outputs match observed data presents a significant challenge. Simulation-bas... 详细信息
来源: 评论
Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting
arXiv
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arXiv 2024年
作者: Rokuss, Maximilian R. Kirchhoff, Yannick Roy, Saikat Kovacs, Balint Ulrich, Constantin Wald, Tassilo Zenk, Maximilian Denner, Stefan Isensee, Fabian Vollmuth, Philipp Kleesiek, Jens Maier-Hein, Klaus Heidelberg Division of Medical Image Computing Germany Faculty of Mathematics and Computer Science Heidelberg University Germany HIDSS4Health - Helmholtz Information and Data Science School for Health Karlsruhe Heidelberg Germany Medical Faculty Heidelberg Heidelberg University Heidelberg Germany Helmholtz Imaging German Cancer Research Center Heidelberg Germany Department of Neuroradiology Heidelberg University Hospital Heidelberg Germany Division for Computational Neuroimaging Department of Neuroradiology Heidelberg University Hospital Heidelberg Germany University Hospital Essen Essen Germany West German Cancer Center Essen University Hospital Essen Essen Germany Pattern Analysis and Learning Group Department of Radiation Oncology Heidelberg University Hospital Germany
Accurate segmentation of Multiple Sclerosis (MS) lesions in longitudinal MRI scans is crucial for monitoring disease progression and treatment efficacy. Although changes across time are taken into account when assessi... 详细信息
来源: 评论
AstroPhot: Fitting Everything Everywhere All at Once in Astronomical Images
arXiv
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arXiv 2023年
作者: Stone, Connor J. Courteau, Stéphane Cuillandre, Jean-Charles Hezaveh, Yashar Perreault-Levasseur, Laurence Arora, Nikhil Department of Physics Université de Montréal MontréalQC Canada Mila - Québec Artificial Intelligence Institute MontréalQC Canada Ciela - Montréal Institute for Astrophysical Data Analysis and Machine Learning MontréalQC Canada Department of Physics Engineering Physics & Astronomy Queen’s University KingstonON Canada AIM CEA CNRS Université Paris-Saclay Université de Paris Gif-sur-YvetteF-91191 France Center for Computational Astrophysics Flatiron Institute 162 5th Avenue New YorkNY10010 United States New York University Abu Dhabi PO Box 129188 Abu Dhabi United Arab Emirates New York University Abu Dhabi United Arab Emirates
We present ASTROPHOT, a fast, powerful, and user-friendly Python based astronomical image photometry solver. ASTROPHOT incorporates automatic differentiation and GPU (or parallel CPU) acceleration, powered by the mach... 详细信息
来源: 评论