Computer Vision - ECCV 2022 (Record no. 87449)

000 -LEADER
fixed length control field 06027nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-3-031-19824-3
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730171217.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031198243
-- 978-3-031-19824-3
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-19824-3
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA1634
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQV
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM016000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQV
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.37
Edition number 23
245 10 - TITLE STATEMENT
Title Computer Vision - ECCV 2022
Medium [electronic resource] :
Remainder of title 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXXII /
Statement of responsibility, etc. edited by Shai Avidan, Gabriel Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2022.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer Nature Switzerland :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2022.
300 ## - PHYSICAL DESCRIPTION
Extent LVI, 741 p. 282 illus., 273 illus. in color.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Computer Science,
International Standard Serial Number 1611-3349 ;
Volume/sequential designation 13692
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note ARAH: Animatable Volume Rendering of Articulated Human SDFs -- ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer -- NDF: Neural Deformable Fields for Dynamic Human Modelling -- Neural Density-Distance Fields -- NeXT: Towards High Quality Neural Radiance Fields via Multi-Skip Transformer -- Learning Online Multi-sensor Depth Fusion -- BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-Scale Scene Rendering -- Decomposing the Tangent of Occluding Boundaries according to Curvatures and Torsions -- NeuRIS: Neural Reconstruction of Indoor Scenes Using Normal Priors -- Generalizable Patch-Based Neural Rendering -- Improving RGB-D Point Cloud Registration by Learning Multi-Scale Local Linear Transformation -- Real-Time Neural Character Rendering with Pose-Guided Multiplane Images -- SparseNeuS: Fast Generalizable Neural Surface Reconstruction from Sparse Views -- Disentangling Object Motion and Occlusion for Unsupervised Multi-Frame Monocular Depth -- Depth Field Networks for Generalizable Multi-View Scene Representation -- Context-Enhanced Stereo Transformer -- PCW-Net: Pyramid Combination and Warping Cost Volume for Stereo Matching -- Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images -- Latency-Aware Collaborative Perception -- TensoRF: Tensorial Radiance Fields -- NeFSAC: Neurally Filtered Minimal Samples -- SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data -- HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields -- NeuMan: Neural Human Radiance Field from a Single Video -- TAVA: Template-Free Animatable Volumetric Actors -- EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching -- Relative Pose from SIFT Features -- Selection and Cross Similarity for Event-Image Deep Stereo -- D3Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding -- CIRCLE: Convolutional Implicit Reconstruction and Completion for Large-Scale Indoor Scene -- ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild -- 4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding -- Few 'Zero Level Set'-Shot Learning of Shape Signed Distance Functions in Feature Space -- Solution Space Analysis of Essential Matrix Based on Algebraic Error Minimization -- Approximate Differentiable Rendering with Algebraic Surfaces -- CoVisPose: Co-Visibility Pose Transformer for Wide-Baseline Relative Pose Estimation in 360° Indoor Panoramas -- Affine Correspondences between Multi-Camera Systems for 6DOF Relative Pose Estimation -- GraphFit: Learning Multi-Scale Graph-Convolutional Representation for Point Cloud Normal Estimation -- IS-MVSNet: Importance Sampling-Based MVSNet -- Point Scene Understanding via Disentangled Instance Mesh Reconstruction -- DiffuStereo: High Quality Human Reconstruction via Diffusion-Based Stereo Using Sparse Cameras -- Space-Partitioning RANSAC.
520 ## - SUMMARY, ETC.
Summary, etc. 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer vision.
9 (RLIN) 97529
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Vision.
9 (RLIN) 97532
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Avidan, Shai.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 97534
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Brostow, Gabriel.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 97537
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Cissé, Moustapha.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 97538
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Farinella, Giovanni Maria.
Relator term editor.
Authority record control number or standard number (orcid)
Real World Object URI 0000-0002-6034-0432
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 97541
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hassner, Tal.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 97542
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
9 (RLIN) 97543
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031198236
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031198250
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Computer Science,
International Standard Serial Number 1611-3349 ;
Volume/sequential designation 13692
9 (RLIN) 23263
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-19824-3">https://doi.org/10.1007/978-3-031-19824-3</a>
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks-Lecture Notes in CS

No items available.