Computer Vision – ECCV 2022 : 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part I / edited by Shai Avidan, Gabriel Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner.

Format:

Book

Author/Creator:

Shai Avidan, author.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 13661

Language:

English

Subjects (All):

Computer vision.

Computer networks.

User interfaces (Computer systems).

Human-computer interaction.

Pattern recognition systems.

Machine learning.

Computers, Special purpose.

Computer Vision.

Computer Communication Networks.

User Interfaces and Human Computer Interaction.

Automated Pattern Recognition.

Machine Learning.

Special Purpose and Application-Based Systems.

Local Subjects:

Computer Vision.

Computer Communication Networks.

User Interfaces and Human Computer Interaction.

Automated Pattern Recognition.

Machine Learning.

Special Purpose and Application-Based Systems.

Physical Description:

1 online resource (803 pages)

Edition:

1st ed. 2022.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2022.

Summary:

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.

Contents:

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 Reconstructionof 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: ResidualBounding 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.

Other Format:

Print version: Avidan, Shai Computer Vision - ECCV 2022

ISBN:

9783031197697

3031197690