Computational Label And Data Efficiency In Deep Learning For Sparse 3d Data

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Computational Label And Data Efficiency In Deep Learning For Sparse 3d Data

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Author : Li, Lanxiao
language : en
Publisher: KIT Scientific Publishing
Release Date : 2024-05-13

Computational Label And Data Efficiency In Deep Learning For Sparse 3d Data written by Li, Lanxiao and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-13 with categories.

Deep learning is widely applied to sparse 3D data to perform challenging tasks, e.g., 3D object detection and semantic segmentation. However, the high performance of deep learning comes with high costs, including computational costs and the effort to capture and label data. This work investigates and improves the efficiency of deep learning for sparse 3D data to overcome the obstacles to the further development of this technology.

Computational Label And Data Efficiency In Deep Learning For Sparse 3d Data

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Author : Lanxiao Li
language : en
Publisher:
Release Date : 2023*

Computational Label And Data Efficiency In Deep Learning For Sparse 3d Data written by Lanxiao Li and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023* with categories.

Driver Behavior Analysis And Decision Making For Autonomous Driving At Non Signalized Inner City Intersections

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Author : Weinreuter, Hannes
language : en
Publisher: KIT Scientific Publishing
Release Date : 2025-01-17

Driver Behavior Analysis And Decision Making For Autonomous Driving At Non Signalized Inner City Intersections written by Weinreuter, Hannes and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-17 with categories.

The focus of this work is on human driving behavior in road traffic. Two aspects of it are covered, the prediction of it, including the identification of relevant influencing factors, as well as the behavior generation for autonomous vehicles. The behavior prediction is based on a field study during which participants drove a measurement vehicle through inner-city traffic. Using the driven trajectories and lidar recordings complexity features to describe the surroundings at the intersection, the traffic there and the driving path are defined. The driving behavior is characterized by further features. Based on the complexity features regression models are trained to predict the behavior features. For that, linear regression, random forest and gradient boosting machine are utilized. Different complexity feature sets, including ones that are reduced with the help of an autoencoder, are used for prediction. The results show that the driving behavior can be predicted reliably. However, when using complexity feature sets with only few features the prediction performance is reduced. In order to obtain a complexity score that is in line with human perception of complexity, an online study using videos of approaches to intersections was conducted. In pairwise comparisons participants were asked to identify the more complex situation. From that data complexity scores for the intersection passes included in the study are calculated. Several methods are used to assign these scores to the runs of the original field study. Behavior regression models are trained using these assigned complexity scores. The results show that behavior prediction with the complexity scores is possible, however, most variants require to also consider the turning direction as a second feature. The behavior generation for decision-making at T-intersections is based on a discrete event system (DES). For it, several features are used to define events that describe the status of the decision-making process at the intersection. The events trigger the transitions between the states of the DES. All states are associated with either offensive or defensive driving behavior, which is implemented using the intelligent driver model. The algorithm is validated with a simulation framework. Using a generic map and several real maps, the decision-making model is simulated 14400 times while interacting with further cooperation vehicles. None of these runs resulted in a collision involving the vehicle running the algorithm and the times to pass the intersection can be explained by the numbers of cooperation vehicles and the intersection layouts. Further simulations are used to investigate the influence of limited visibility at the intersections on the model.

Computational Visual Media

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Author : Piotr Didyk
language : en
Publisher: Springer Nature
Release Date : 2025-04-25

Computational Visual Media written by Piotr Didyk and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-25 with Computers categories.

This book constitutes the refereed proceedings of CVM 2025, the 13th International Conference on Computational Visual Media, held in Hong Kong SAR, China, in April 2025. The 67 full papers were carefully reviewed and selected from 335 submissions. The papers are organized in topical sections as follows: Part I: Medical Image Analysis, Detection and Recognition, Image Enhancement and Generation, Vision Modeling in Complex Scenarios Part II: 3D Geometry and Rendering, Generation and Editing, Image Processing and Optimization Part III: Image and Video Analysis, Multimodal Learning, Geometrical Processing, Applications

Advances In Information And Communication Technology

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Author : Phung Trung Nghia
language : en
Publisher: Springer Nature
Release Date : 2025-03-10

Advances In Information And Communication Technology written by Phung Trung Nghia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-10 with Computers categories.

This book provides a comprehensive overview of cutting-edge research and innovations in Information and Communication Technology (ICT), offering new insights into both theoretical foundations and practical applications. The book contains two keynote abstracts and 115 best peer-reviewed papers selected from the 211 submissions at the 3rd International Conference on Advances in ICT (ICTA 2024), which share research results and practical applications in ICT research and education. The topics cover all ICT-related areas and their contributions to socio-economic development, focusing on the most advanced technologies, such as AI. Researchers and practitioners in academia and industry can use the book as a valuable reference for their research activities, teaching, learning and advancing current technologies. The conference is hosted by Hung Vuong University (HVU) with primary organizing support from Thai Nguyen University of Information and Communication Technology (ICTU).

Handbook Of Medical Image Computing And Computer Assisted Intervention

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Author : S. Kevin Zhou
language : en
Publisher: Academic Press
Release Date : 2019-10-18

Handbook Of Medical Image Computing And Computer Assisted Intervention written by S. Kevin Zhou and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-18 with Computers categories.

Handbook of Medical Image Computing and Computer Assisted Intervention presents important advanced methods and state-of-the art research in medical image computing and computer assisted intervention, providing a comprehensive reference on current technical approaches and solutions, while also offering proven algorithms for a variety of essential medical imaging applications. This book is written primarily for university researchers, graduate students and professional practitioners (assuming an elementary level of linear algebra, probability and statistics, and signal processing) working on medical image computing and computer assisted intervention. - Presents the key research challenges in medical image computing and computer-assisted intervention - Written by leading authorities of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society - Contains state-of-the-art technical approaches to key challenges - Demonstrates proven algorithms for a whole range of essential medical imaging applications - Includes source codes for use in a plug-and-play manner - Embraces future directions in the fields of medical image computing and computer-assisted intervention

Computational Methods And Clinical Applications In Musculoskeletal Imaging

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Author : Ben Glocker
language : en
Publisher: Springer
Release Date : 2018-01-26

Computational Methods And Clinical Applications In Musculoskeletal Imaging written by Ben Glocker and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-26 with Computers categories.

This book constitutes the refereed proceedings of the 5th International Workshop and Challenge on Computational Methods and Clinical Applications for Musculoskeletal Imaging, MSKI 2017, held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017. The 13 workshop papers were carefully reviewed and selected for inclusion in this volume. Topics of interest include all major aspects of musculoskeletal imaging, for example: clinical applications of musculoskeletal computational imaging; computer-aided detection and diagnosis of conditions of the bones, muscles and joints; image-guided musculoskeletal surgery and interventions; image-based assessment and monitoring of surgical and pharmacological treatment; segmentation, registration, detection, localization and visualization of the musculoskeletal anatomy; statistical and geometrical modeling of the musculoskeletal shape and appearance; image-based microstructural characterization of musculoskeletal tissue; novel techniques for musculoskeletal imaging.

Computer Vision Eccv 2022

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Author : Shai Avidan
language : en
Publisher: Springer Nature
Release Date : 2022-10-21

Computer Vision Eccv 2022 written by Shai Avidan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-21 with Computers categories.

The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Deep Learning For Biomedical Image Reconstruction

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Author : Jong Chul Ye
language : en
Publisher: Cambridge University Press
Release Date : 2023-10-12

Deep Learning For Biomedical Image Reconstruction written by Jong Chul Ye and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-12 with Technology & Engineering categories.

Discover the power of deep neural networks for image reconstruction with this state-of-the-art review of modern theories and applications. The background theory of deep learning is introduced step-by-step, and by incorporating modeling fundamentals this book explains how to implement deep learning in a variety of modalities, including X-ray, CT, MRI and others. Real-world examples demonstrate an interdisciplinary approach to medical image reconstruction processes, featuring numerous imaging applications. Recent clinical studies and innovative research activity in generative models and mathematical theory will inspire the reader towards new frontiers. This book is ideal for graduate students in Electrical or Biomedical Engineering or Medical Physics.

Statistical Atlases And Computational Models Of The Heart Workshop Cmrxrecon And Mbas Challenge Papers

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Author : Oscar Camara
language : en
Publisher: Springer Nature
Release Date : 2025-04-28

Statistical Atlases And Computational Models Of The Heart Workshop Cmrxrecon And Mbas Challenge Papers written by Oscar Camara and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-28 with Computers categories.

This book constitutes the proceedings of the 15th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2024, held in conjunction with the 27th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco in October 2024. The 48 regular workshop papers included in this volume were carefully reviewed and selected from 64 paper submissions. They focus on Regular Papers; Multiclass Bi-Atrial Segmentation Challenge and Cardiac MRI Reconstruction Challenge.