東華大學圖書館 |

Computer vision - ECCV 2022 = 17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings.. Part I /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computer vision - ECCV 2022/ edited by Shai Avidan ... [et al.].
Reminder of title:	17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings.
other author:	Avidan, Shai.
corporate name:	European Conference on Computer Vision
Published:	Cham :Springer Nature Switzerland : : 2022.,
Description:	lvi, 747 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	Learning Depth from Focus in the Wild -- Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World -- An End-to-End Transformer Model for Crowd Localization -- Few-Shot Single-View 3D Reconstruction with Memory Prior Contrastive Network -- DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection -- Adaptive Co-Teaching for Unsupervised Monocular Depth Estimation -- Fusing Local Similarities for Retrieval-Based 3D Orientation Estimation of Unseen Objects -- Lidar Point Cloud Guided Monocular 3D Object Detection -- Structural Causal 3D Reconstruction -- 3D Human Pose Estimation Using Mӧbius Graph Convolutional Networks -- Learning to Train a Point Cloud Reconstruction Network without Matching -- PanoFormer: Panorama Transformer for Indoor 360° Depth Estimation -- Self-supervised Human Mesh Recovery with Cross-Representation Alignment -- AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction -- A Reliable Online Method for Joint Estimation of Focal Length and Camera Rotation -- PS-NeRF: Neural Inverse Rendering for Multi-View Photometric Stereo -- Share with Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency -- Towards Comprehensive Representation Enhancement in Semantics- Guided Self-Supervised Monocular Depth Estimation -- AvatarCap: Animatable Avatar Conditioned Monocular Human Volumetric Capture -- Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers -- GeoRefine: Self-Supervised Online Depth Refinement for Accurate Dense Mapping -- Multi-modal Masked Pre-training for Monocular Panoramic Depth Completion -- GitNet: Geometric Prior-Based Transformation for Birds-Eye View Segmentation -- Learning Visibility for Robust Dense Human Body Estimation -- Towards High-Fidelity Single-View Holistic Reconstruction of Indoor Scenes -- CompNVS: Novel View Synthesis with Scene Completion -- SketchSampler: Sketch-Based 3D Reconstruction via View-Dependent Depth Sampling -- LocalBins: Improving Depth Estimation by Learning Local Distributions -- 2D GANs Meet Unsupervised Single-View 3D Reconstruction -- InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images -- Semi-Supervised Single-View 3D Reconstruction via Prototype Shape Priors -- Bilateral Normal Integration -- S2Contact: Graph-Based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning -- SC-wLS: Towards Interpretable Feed-Forward Camera Re-localization -- FloatingFusion: Depth from ToF and Image-Stabilized Stereo Cameras -- DELTAR: Depth Estimation from a Light-Weight ToF Sensor and RGB Image -- 3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform -- RBP-Pose: Residual Bounding Box Projection for Category-Level Pose Estimation -- Monocular 3D Object Reconstruction with GAN Inversion -- Map-Free Visual Relocalization: Metric Pose Relative to a Single Image -- Self-Distilled Feature Aggregation for Self-Supervised Monocular Depth Estimation -- Planes vs. Chairs: Category-Guided 3D Shape Learning without Any 3D Cues.
Contained By:	Springer Nature eBook
Subject:	Computer vision - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-19769-7
ISBN:	9783031197697

Computer vision - ECCV 2022 = 17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings.. Part I /
Computer vision - ECCV 202217th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings.Part I /[electronic resource] :edited by Shai Avidan ... [et al.]. - Cham :Springer Nature Switzerland :2022. - lvi, 747 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,136610302-9743 ;. - Lecture notes in computer science ;13661..

Learning Depth from Focus in the Wild -- Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World -- An End-to-End Transformer Model for Crowd Localization -- Few-Shot Single-View 3D Reconstruction with Memory Prior Contrastive Network -- DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection -- Adaptive Co-Teaching for Unsupervised Monocular Depth Estimation -- Fusing Local Similarities for Retrieval-Based 3D Orientation Estimation of Unseen Objects -- Lidar Point Cloud Guided Monocular 3D Object Detection -- Structural Causal 3D Reconstruction -- 3D Human Pose Estimation Using Mӧbius Graph Convolutional Networks -- Learning to Train a Point Cloud Reconstruction Network without Matching -- PanoFormer: Panorama Transformer for Indoor 360° Depth Estimation -- Self-supervised Human Mesh Recovery with Cross-Representation Alignment -- AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction -- A Reliable Online Method for Joint Estimation of Focal Length and Camera Rotation -- PS-NeRF: Neural Inverse Rendering for Multi-View Photometric Stereo -- Share with Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency -- Towards Comprehensive Representation Enhancement in Semantics- Guided Self-Supervised Monocular Depth Estimation -- AvatarCap: Animatable Avatar Conditioned Monocular Human Volumetric Capture -- Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers -- GeoRefine: Self-Supervised Online Depth Refinement for Accurate Dense Mapping -- Multi-modal Masked Pre-training for Monocular Panoramic Depth Completion -- GitNet: Geometric Prior-Based Transformation for Birds-Eye View Segmentation -- Learning Visibility for Robust Dense Human Body Estimation -- Towards High-Fidelity Single-View Holistic Reconstruction of Indoor Scenes -- CompNVS: Novel View Synthesis with Scene Completion -- SketchSampler: Sketch-Based 3D Reconstruction via View-Dependent Depth Sampling -- LocalBins: Improving Depth Estimation by Learning Local Distributions -- 2D GANs Meet Unsupervised Single-View 3D Reconstruction -- InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images -- Semi-Supervised Single-View 3D Reconstruction via Prototype Shape Priors -- Bilateral Normal Integration -- S2Contact: Graph-Based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning -- SC-wLS: Towards Interpretable Feed-Forward Camera Re-localization -- FloatingFusion: Depth from ToF and Image-Stabilized Stereo Cameras -- DELTAR: Depth Estimation from a Light-Weight ToF Sensor and RGB Image -- 3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform -- RBP-Pose: Residual Bounding Box Projection for Category-Level Pose Estimation -- Monocular 3D Object Reconstruction with GAN Inversion -- Map-Free Visual Relocalization: Metric Pose Relative to a Single Image -- Self-Distilled Feature Aggregation for Self-Supervised Monocular Depth Estimation -- Planes vs. Chairs: Category-Guided 3D Shape Learning without Any 3D Cues.

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.

ISBN: 9783031197697

Standard No.: 10.1007/978-3-031-19769-7doiSubjects--Topical Terms:

570734
Computer vision
--Congresses.

LC Class. No.: TA1634 / .E87 2022

Dewey Class. No.: 006.37

Computer vision - ECCV 2022 = 17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings.. Part I /
LDR:05001nmm a2200337 a 4500 001 2304772
003 DE-He213
005 20221022124803.0
006 m d
007 cr nn 008maaau
008 230409s2022 sz s 0 eng d
020 $a 9783031197697 $q (electronic bk.)
020 $a 9783031197680 $q (paper)
024 7 $a 10.1007/978-3-031-19769-7 $2 doi
035 $a 978-3-031-19769-7
040 $a GP $c GP
041 0 $a eng
050 4 $a TA1634 $b .E87 2022
072 7 $a UYQV $2 bicssc
072 7 $a COM012000 $2 bisacsh
072 7 $a UYQV $2 thema
082 0 4 $a 006.37 $2 23
090 $a TA1634 $b .E89 2022
111 2 $a European Conference on Computer Vision $n (17th : $d 2022 : $c Tel Aviv, Israel) $3 3607246
245 1 0 $a Computer vision - ECCV 2022 $h [electronic resource] : $b 17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings. $n Part I / $c edited by Shai Avidan ... [et al.].
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2022.
300 $a lvi, 747 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 13661
505 0 $a Learning Depth from Focus in the Wild -- Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World -- An End-to-End Transformer Model for Crowd Localization -- Few-Shot Single-View 3D Reconstruction with Memory Prior Contrastive Network -- DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection -- Adaptive Co-Teaching for Unsupervised Monocular Depth Estimation -- Fusing Local Similarities for Retrieval-Based 3D Orientation Estimation of Unseen Objects -- Lidar Point Cloud Guided Monocular 3D Object Detection -- Structural Causal 3D Reconstruction -- 3D Human Pose Estimation Using Mӧbius Graph Convolutional Networks -- Learning to Train a Point Cloud Reconstruction Network without Matching -- PanoFormer: Panorama Transformer for Indoor 360° Depth Estimation -- Self-supervised Human Mesh Recovery with Cross-Representation Alignment -- AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction -- A Reliable Online Method for Joint Estimation of Focal Length and Camera Rotation -- PS-NeRF: Neural Inverse Rendering for Multi-View Photometric Stereo -- Share with Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency -- Towards Comprehensive Representation Enhancement in Semantics- Guided Self-Supervised Monocular Depth Estimation -- AvatarCap: Animatable Avatar Conditioned Monocular Human Volumetric Capture -- Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers -- GeoRefine: Self-Supervised Online Depth Refinement for Accurate Dense Mapping -- Multi-modal Masked Pre-training for Monocular Panoramic Depth Completion -- GitNet: Geometric Prior-Based Transformation for Birds-Eye View Segmentation -- Learning Visibility for Robust Dense Human Body Estimation -- Towards High-Fidelity Single-View Holistic Reconstruction of Indoor Scenes -- CompNVS: Novel View Synthesis with Scene Completion -- SketchSampler: Sketch-Based 3D Reconstruction via View-Dependent Depth Sampling -- LocalBins: Improving Depth Estimation by Learning Local Distributions -- 2D GANs Meet Unsupervised Single-View 3D Reconstruction -- InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images -- Semi-Supervised Single-View 3D Reconstruction via Prototype Shape Priors -- Bilateral Normal Integration -- S2Contact: Graph-Based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning -- SC-wLS: Towards Interpretable Feed-Forward Camera Re-localization -- FloatingFusion: Depth from ToF and Image-Stabilized Stereo Cameras -- DELTAR: Depth Estimation from a Light-Weight ToF Sensor and RGB Image -- 3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform -- RBP-Pose: Residual Bounding Box Projection for Category-Level Pose Estimation -- Monocular 3D Object Reconstruction with GAN Inversion -- Map-Free Visual Relocalization: Metric Pose Relative to a Single Image -- Self-Distilled Feature Aggregation for Self-Supervised Monocular Depth Estimation -- Planes vs. Chairs: Category-Guided 3D Shape Learning without Any 3D Cues.
520 $a 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 $a Computer vision $x Congresses. $3 570734
650 0 $a Pattern recognition systems $v Congresses. $3 563039
650 1 4 $a Computer Vision. $3 3538524
650 2 4 $a Computer Communication Networks. $3 775497
650 2 4 $a User Interfaces and Human Computer Interaction. $3 892554
650 2 4 $a Automated Pattern Recognition. $3 3538549
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Special Purpose and Application-Based Systems. $3 892492
700 1 $a Avidan, Shai. $3 3607247
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 13661. $3 3607273
856 4 0 $u https://doi.org/10.1007/978-3-031-19769-7
950 $a Computer Science (SpringerNature-11645)