Multimodal Panoptic Segmentation Of 3d Point Clouds

Author : Dürr, Fabian
Publisher : KIT Scientific Publishing
Page : 248 pages
File Size : 46,9 Mb
Release : 2023-10-09
Category : Electronic
ISBN : 9783731513148

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Multimodal Panoptic Segmentation of 3D Point Clouds by Dürr, Fabian Pdf

The understanding and interpretation of complex 3D environments is a key challenge of autonomous driving. Lidar sensors and their recorded point clouds are particularly interesting for this challenge since they provide accurate 3D information about the environment. This work presents a multimodal approach based on deep learning for panoptic segmentation of 3D point clouds. It builds upon and combines the three key aspects multi view architecture, temporal feature fusion, and deep sensor fusion.

Author : Shai Avidan,Gabriel Brostow,Moustapha Cissé,Giovanni Maria Farinella,Tal Hassner
Publisher : Springer Nature
Page : 807 pages
File Size : 53,9 Mb
Release : 2022-11-11
Category : Computers
ISBN : 9783031200748

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Computer Vision – ECCV 2022 by Shai Avidan,Gabriel Brostow,Moustapha Cissé,Giovanni Maria Farinella,Tal Hassner Pdf

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.

Author : Rui Fan,Sicen Guo,Mohammud Junaid Bocus
Publisher : Springer Nature
Page : 391 pages
File Size : 53,6 Mb
Release : 2023-10-06
Category : Technology & Engineering
ISBN : 9789819942879

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Autonomous Driving Perception by Rui Fan,Sicen Guo,Mohammud Junaid Bocus Pdf

Discover the captivating world of computer vision and deep learning for autonomous driving with our comprehensive and in-depth guide. Immerse yourself in an in-depth exploration of cutting-edge topics, carefully crafted to engage tertiary students and ignite the curiosity of researchers and professionals in the field. From fundamental principles to practical applications, this comprehensive guide offers a gentle introduction, expert evaluations of state-of-the-art methods, and inspiring research directions. With a broad range of topics covered, it is also an invaluable resource for university programs offering computer vision and deep learning courses. This book provides clear and simplified algorithm descriptions, making it easy for beginners to understand the complex concepts. We also include carefully selected problems and examples to help reinforce your learning. Don't miss out on this essential guide to computer vision and deep learning for autonomous driving.

Author : Qingshan Liu,Hanzi Wang,Zhanyu Ma,Weishi Zheng,Hongbin Zha,Xilin Chen,Liang Wang,Rongrong Ji
Publisher : Springer Nature
Page : 526 pages
File Size : 49,6 Mb
Release : 2024-01-29
Category : Computers
ISBN : 9789819985432

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Pattern Recognition and Computer Vision by Qingshan Liu,Hanzi Wang,Zhanyu Ma,Weishi Zheng,Hongbin Zha,Xilin Chen,Liang Wang,Rongrong Ji Pdf

The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis.

Author : Andrea Vedaldi,Horst Bischof,Thomas Brox,Jan-Michael Frahm
Publisher : Springer Nature
Page : 839 pages
File Size : 41,6 Mb
Release : 2020-11-11
Category : Computers
ISBN : 9783030585655

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Computer Vision – ECCV 2020 by Andrea Vedaldi,Horst Bischof,Thomas Brox,Jan-Michael Frahm Pdf

The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 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.

Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 55,7 Mb
Release : 2021-06-20
Category : Electronic
ISBN : 1665445106

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2021 IEEE CVF Conference on Computer Vision and Pattern Recognition (CVPR) by IEEE Staff Pdf

CVPR is the premier annual computer vision event comprising the main conference and several co located workshops and short courses With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers

Author : Alexandros Iosifidis,Anastasios Tefas
Publisher : Academic Press
Page : 638 pages
File Size : 52,9 Mb
Release : 2022-02-04
Category : Computers
ISBN : 9780323885720

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Deep Learning for Robot Perception and Cognition by Alexandros Iosifidis,Anastasios Tefas Pdf

Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks. Presents deep learning principles and methodologies Explains the principles of applying end-to-end learning in robotics applications Presents how to design and train deep learning models Shows how to apply deep learning in robot vision tasks such as object recognition, image classification, video analysis, and more Uses robotic simulation environments for training deep learning models Applies deep learning methods for different tasks ranging from planning and navigation to biosignal analysis

Author : Christian Rathgeb,Ruben Tolosana,Ruben Vera-Rodriguez,Christoph Busch
Publisher : Springer Nature
Page : 487 pages
File Size : 50,9 Mb
Release : 2022-01-31
Category : Computers
ISBN : 9783030876647

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Handbook of Digital Face Manipulation and Detection by Christian Rathgeb,Ruben Tolosana,Ruben Vera-Rodriguez,Christoph Busch Pdf

This open access book provides the first comprehensive collection of studies dealing with the hot topic of digital face manipulation such as DeepFakes, Face Morphing, or Reenactment. It combines the research fields of biometrics and media forensics including contributions from academia and industry. Appealing to a broad readership, introductory chapters provide a comprehensive overview of the topic, which address readers wishing to gain a brief overview of the state-of-the-art. Subsequent chapters, which delve deeper into various research challenges, are oriented towards advanced readers. Moreover, the book provides a good starting point for young researchers as well as a reference guide pointing at further literature. Hence, the primary readership is academic institutions and industry currently involved in digital face manipulation and detection. The book could easily be used as a recommended text for courses in image processing, machine learning, media forensics, biometrics, and the general security area.

Author : Shaogang Gong,Marco Cristani,Shuicheng Yan,Chen Change Loy
Publisher : Springer Science & Business Media
Page : 445 pages
File Size : 55,5 Mb
Release : 2014-01-03
Category : Computers
ISBN : 9781447162964

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Person Re-Identification by Shaogang Gong,Marco Cristani,Shuicheng Yan,Chen Change Loy Pdf

The first book of its kind dedicated to the challenge of person re-identification, this text provides an in-depth, multidisciplinary discussion of recent developments and state-of-the-art methods. Features: introduces examples of robust feature representations, reviews salient feature weighting and selection mechanisms and examines the benefits of semantic attributes; describes how to segregate meaningful body parts from background clutter; examines the use of 3D depth images and contextual constraints derived from the visual appearance of a group; reviews approaches to feature transfer function and distance metric learning and discusses potential solutions to issues of data scalability and identity inference; investigates the limitations of existing benchmark datasets, presents strategies for camera topology inference and describes techniques for improving post-rank search efficiency; explores the design rationale and implementation considerations of building a practical re-identification system.

Author : Michael Yang,Bodo Rosenhahn,Vittorio Murino
Publisher : Academic Press
Page : 422 pages
File Size : 49,7 Mb
Release : 2019-07-16
Category : Computers
ISBN : 9780128173596

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Multimodal Scene Understanding by Michael Yang,Bodo Rosenhahn,Vittorio Murino Pdf

Multimodal Scene Understanding: Algorithms, Applications and Deep Learning presents recent advances in multi-modal computing, with a focus on computer vision and photogrammetry. It provides the latest algorithms and applications that involve combining multiple sources of information and describes the role and approaches of multi-sensory data and multi-modal deep learning. The book is ideal for researchers from the fields of computer vision, remote sensing, robotics, and photogrammetry, thus helping foster interdisciplinary interaction and collaboration between these realms. Researchers collecting and analyzing multi-sensory data collections – for example, KITTI benchmark (stereo+laser) - from different platforms, such as autonomous vehicles, surveillance cameras, UAVs, planes and satellites will find this book to be very useful. Contains state-of-the-art developments on multi-modal computing Shines a focus on algorithms and applications Presents novel deep learning topics on multi-sensor fusion and multi-modal deep learning

Author : Becker, Stefan
Publisher : KIT Scientific Publishing
Page : 228 pages
File Size : 54,5 Mb
Release : 2020-12-02
Category : Computers
ISBN : 9783731510383

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Dynamic Switching State Systems for Visual Tracking by Becker, Stefan Pdf

This work addresses the problem of how to capture the dynamics of maneuvering objects for visual tracking. Towards this end, the perspective of recursive Bayesian filters and the perspective of deep learning approaches for state estimation are considered and their functional viewpoints are brought together.

Author : John Thackara
Publisher : MIT Press
Page : 639 pages
File Size : 53,5 Mb
Release : 2006-02-17
Category : Business & Economics
ISBN : 9780262250375

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In the Bubble by John Thackara Pdf

How to design a world in which we rely less on stuff, and more on people. We're filling up the world with technology and devices, but we've lost sight of an important question: What is this stuff for? What value does it add to our lives? So asks author John Thackara in his new book, In the Bubble: Designing for a Complex World. These are tough questions for the pushers of technology to answer. Our economic system is centered on technology, so it would be no small matter if "tech" ceased to be an end-in-itself in our daily lives. Technology is not going to go away, but the time to discuss the end it will serve is before we deploy it, not after. We need to ask what purpose will be served by the broadband communications, smart materials, wearable computing, and connected appliances that we're unleashing upon the world. We need to ask what impact all this stuff will have on our daily lives. Who will look after it, and how? In the Bubble is about a world based less on stuff and more on people. Thackara describes a transformation that is taking place now—not in a remote science fiction future; it's not about, as he puts it, "the schlock of the new" but about radical innovation already emerging in daily life. We are regaining respect for what people can do that technology can't. In the Bubble describes services designed to help people carry out daily activities in new ways. Many of these services involve technology—ranging from body implants to wide-bodied jets. But objects and systems play a supporting role in a people-centered world. The design focus is on services, not things. And new principles—above all, lightness—inform the way these services are designed and used. At the heart of In the Bubble is a belief, informed by a wealth of real-world examples, that ethics and responsibility can inform design decisions without impeding social and technical innovation.

Author : Joel Janai,Fatma Güney,Aseem Behl,Andreas Geiger
Publisher : Unknown
Page : 308 pages
File Size : 47,9 Mb
Release : 2020
Category : Automated vehicles
ISBN : 1680836897

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Computer Vision for Autonomous Vehicles by Joel Janai,Fatma Güney,Aseem Behl,Andreas Geiger Pdf

Recent years have witnessed enormous progress in AI-related fields such as computer vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it becomes increasingly difficult to stay up-to-date or enter the field as a beginner. While several survey papers on particular sub-problems have appeared, no comprehensive survey on problems, datasets, and methods in computer vision for autonomous vehicles has been published. This monograph attempts to narrow this gap by providing a survey on the state-of-the-art datasets and techniques. Our survey includes both the historically most relevant literature as well as the current state of the art on several specific topics, including recognition, reconstruction, motion estimation, tracking, scene understanding, and end-to-end learning for autonomous driving. Towards this goal, we analyze the performance of the state of the art on several challenging benchmarking datasets, including KITTI, MOT, and Cityscapes. Besides, we discuss open problems and current research challenges. To ease accessibility and accommodate missing references, we also provide a website that allows navigating topics as well as methods and provides additional information.

Author : Hao Dong,Zihan Ding,Shanghang Zhang
Publisher : Springer Nature
Page : 526 pages
File Size : 48,6 Mb
Release : 2020-06-29
Category : Computers
ISBN : 9789811540950

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Deep Reinforcement Learning by Hao Dong,Zihan Ding,Shanghang Zhang Pdf

Deep reinforcement learning (DRL) is the combination of reinforcement learning (RL) and deep learning. It has been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine, and famously contributed to the success of AlphaGo. Furthermore, it opens up numerous new applications in domains such as healthcare, robotics, smart grids and finance. Divided into three main parts, this book provides a comprehensive and self-contained introduction to DRL. The first part introduces the foundations of deep learning, reinforcement learning (RL) and widely used deep RL methods and discusses their implementation. The second part covers selected DRL research topics, which are useful for those wanting to specialize in DRL research. To help readers gain a deep understanding of DRL and quickly apply the techniques in practice, the third part presents mass applications, such as the intelligent transportation system and learning to run, with detailed explanations. The book is intended for computer science students, both undergraduate and postgraduate, who would like to learn DRL from scratch, practice its implementation, and explore the research topics. It also appeals to engineers and practitioners who do not have strong machine learning background, but want to quickly understand how DRL works and use the techniques in their applications.

Author : Netexplo
Publisher : UNESCO Publishing
Page : 344 pages
File Size : 51,8 Mb
Release : 2024-06-17
Category : Electronic
ISBN : 9789231003172

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Smart cities by Netexplo Pdf