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

Format:

Book

Author/Creator:

Avidan, Shai, author.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 13687

Language:

English

Subjects (All):

Computer vision.

Computer Vision.

Local Subjects:

Computer Vision.

Physical Description:

1 online resource (806 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:

Relative Contrastive Loss for Unsupervised Representation Learning

Fine-Grained Fashion Representation Learning by Online Deep Clustering

NashAE: Disentangling Representations through Adversarial Covariance Minimization

A Gyrovector Space Approach for Symmetric Positive Semi-Definite Matrix Learning

Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training

Contrasting Quadratic Assignments for Set-Based Representation Learning

Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer

Object Discovery and Representation Networks

Trading Positional Complexity vs Deepness in Coordinate Networks

MVDG: A Unified Multi-View Framework for Domain Generalization

Panoptic Scene Graph Generation

Object-Compositional Neural Implicit Surfaces

RigNet: Repetitive Image Guided Network for Depth Completion

FADE: Fusing the Assets of Decoder andEncoder for Task-Agnostic Upsampling

LiDAL: Inter-Frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation

Hierarchical Memory Learning for Fine-Grained Scene Graph Generation

DODA: Data-Oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation

MTFormer: Multi-task Learning via Transformer and Cross Task Reasoning

MonoPLFlowNet: Permutohedral Lattice FlowNet for Real-Scale 3D Scene Flow Estimation with Monocular Images

TO-Scene: A Large-Scale Dataset for Understanding 3D Tabletop Scenes

Is It Necessary to Transfer Temporal Knowledge for Domain Adaptive Video Semantic Segmentation?

Meta Spatio-Temporal Debiasing for Video Scene Graph Generation

Improving the Reliability for Confidence Estimation

Fine-Grained Scene Graph Generation with Data Transfer

Pose2Room: Understanding 3D Scenes from Human Activities

Towards Hard-Positive Query Mining for DETR-Based Human-Object Interaction Detection

Discovering Human-Object Interaction Concepts via Self-Compositional Learning

Primitive-Based Shape Abstraction via Nonparametric Bayesian Inference

Stereo Depth Estimation with Echoes

Inverted Pyramid Multi-task Transformer for Dense Scene Understanding

PETR: Position Embedding Transformation for Multi-View 3D Object Detection

S2Net: Stochastic Sequential Pointcloud Forecasting

RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation

PolyphonicFormer: Unified Query Learning for Depth-Aware Video Panoptic Segmentation

SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds

PointMixer: MLP-Mixer for Point Cloud Understanding

Initialization and Alignment for Adversarial Texture Optimization

MOTR: End-to-End Multiple-Object Tracking with TRansformer

GALA: Toward Geometry-and-Lighting-Aware ObjectSearch for Compositing

LaLaLoc++: Global Floor Plan Comprehension for Layout Localisation in Unvisited Environments

3D-PL: Domain Adaptive Depth Estimation with 3D-Aware Pseudo-Labeling

Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation.

Other Format:

Print version: Avidan, Shai Computer Vision - ECCV 2022

ISBN:

9783031198120

3031198123