Computer Vision – ECCV 2022 (Record no. 186617)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 06159nam a22005415i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-031-20047-2 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240423130241.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 221022s2022 sz | s |||| 0|eng d |
| 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 - | |
| -- | Cham : |
| -- | Springer Nature Switzerland : |
| -- | Imprint: Springer, |
| -- | 2022. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | LVI, 773 p. 254 illus., 252 illus. in color. |
| Other physical details | online resource. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 490 1# - SERIES STATEMENT | |
| Series statement | Lecture Notes in Computer Science, |
| International Standard Serial Number | 1611-3349 ; |
| Volume number/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 as entry element | Computer vision. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer Vision. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Avidan, Shai. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Brostow, Gabriel. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Cissé, Moustapha. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Farinella, Giovanni Maria. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Hassner, Tal. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Printed edition: |
| International Standard Book Number | 9783031200465 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Printed edition: |
| International Standard Book Number | 9783031200489 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Lecture Notes in Computer Science, |
| -- | 1611-3349 ; |
| Volume number/sequential designation | 13682 |
| 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> |
| 912 ## - | |
| -- | ZDB-2-SCS |
| 912 ## - | |
| -- | ZDB-2-SXCS |
| 912 ## - | |
| -- | ZDB-2-LNC |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks-CSE-Springer |
No items available.