Computer Vision - ECCV 2022 (Record no. 97332)

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001 - CONTROL NUMBER
control field 978-3-031-20047-2
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control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730203103.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031200472
-- 978-3-031-20047-2
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-20047-2
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 XXII /
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, 773 p. 254 illus., 252 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 13682
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note ByteTrack: Multi-Object Tracking by Associating Every Detection Box -- Robust Multi-Object Tracking by Marginal Inference -- PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking? -- Particle Video Revisited: Tracking through Occlusions Using Point Trajectories -- Tracking Objects As Pixel-Wise Distributions -- CMT: Context-Matching-Guided Transformer for 3D Tracking in Point Clouds -- Towards Generic 3D Tracking in RGBD Videos: Benchmark and Baseline -- Hierarchical Latent Structure for Multi-modal Vehicle Trajectory Forecasting -- AiATrack: Attention in Attention for Transformer Visual Tracking -- Disentangling Architecture and Training for Optical Flow -- A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow -- Robust Landmark-Based Stent Tracking in X-Ray Fluoroscopy -- Social ODE: Multi-agent Trajectory Forecasting with Neural Ordinary Differential Equations -- Social-SSL: Self-Supervised Cross-Sequence Representation Learning Based on Transformers for Multi-agent Trajectory Prediction -- Diverse Human Motion Prediction Guided by Multi-level Spatial- Temporal Anchors -- Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction -- Sequential Multi-View Fusion Network for Fast LiDAR Point Motion Estimation -- E-Graph: Minimal Solution for Rigid Rotation with Extensibility Graphs -- Point Cloud Compression with Range Image-Based Entropy Model for Autonomous Driving -- Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework -- MotionCLIP: Exposing Human Motion Generation to CLIP Space -- Backbone Is All Your Need: A Simplified Architecture for Visual Object Tracking -- Aware of the History: Trajectory Forecasting with the Local Behavior Data -- Optical Flow Training under Limited Label Budget via Active Learning -- Hierarchical Feature Embedding for Visual Tracking -- Tackling Background Distraction in Video Object Segmentation -- Social-Implicit: Rethinking Trajectory Prediction Evaluation and the Effectiveness of Implicit Maximum Likelihood Estimation -- TEMOS: Generating Diverse Human Motions from Textual Descriptions -- Tracking Every Thing in the Wild -- HULC: 3D HUman Motion Capture with Pose Manifold SampLing and Dense Contact Guidance -- Towards Sequence-Level Training for Visual Tracking -- Learned Monocular Depth Priors in Visual-Inertial Initialization -- Robust Visual Tracking by Segmentation -- MeshLoc: Mesh-Based Visual Localization -- S2F2: Single-Stage Flow Forecasting for Future Multiple Trajectories Prediction -- Large-Displacement 3D Object Tracking with Hybrid Non-local Optimization -- FEAR: Fast, Efficient, Accurate and Robust Visual Tracker -- PREF: Predictability Regularized NeuralMotion Fields -- View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums -- HVC-Net: Unifying Homography, Visibility, and Confidence Learning for Planar Object Tracking -- RamGAN: Region Attentive Morphing GAN for Region-Level Makeup Transfer -- SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image -- Entropy-Driven Sampling and Training Scheme for Conditional Diffusion Generation.
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) 174410
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Vision.
9 (RLIN) 174411
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Avidan, Shai.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 174412
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Brostow, Gabriel.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 174413
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Cissé, Moustapha.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 174414
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) 174415
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hassner, Tal.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 174416
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
9 (RLIN) 174417
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031200465
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031200489
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Computer Science,
International Standard Serial Number 1611-3349 ;
Volume/sequential designation 13682
9 (RLIN) 23263
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-20047-2">https://doi.org/10.1007/978-3-031-20047-2</a>
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks-Lecture Notes in CS

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