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

Format:

Book

Contributor:

Avidan, Shai, Editor.

Brostow, Gabriel, Editor.

Cissé, Moustapha, Editor.

Farinella, Giovanni Maria, Editor.

Hassner, Tal, Editor.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 13695

Language:

English

Subjects (All):

Computer vision.

Computer Vision.

Local Subjects:

Computer Vision.

Physical Description:

1 online resource (801 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:

Efficient One-Stage Video Object Detection by Exploiting Temporal Consistency

Leveraging Action Affinity and Continuity for Semi-Supervised Temporal Action Segmentation

Spotting Temporally Precise, Fine-Grained Events in Video

Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation

Efficient Video Transformers with Spatial-Temporal Token Selection

Long Movie Clip Classification with State-Space Video Models

Prompting Visual-Language Models for Efficient Video Understanding

Asymmetric Relation Consistency Reasoning for Video Relation Grounding

Self-Supervised Social Relation Representation for Human Group Detection

K-Centered Patch Sampling for Efficient Video Recognition

A Deep Moving-Camera Background Model

GraphVid: It Only Takes a Few Nodes to Understand a Video

Delta Distillation for Efficient Video Processing

MorphMLP: An Efficient MLP-Like Backbone for Spatial-Temporal Representation Learning

COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality

E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context

TDViT: Temporal Dilated Video Transformer for Dense Video Tasks

Semi-Supervised Learning of Optical Flow by Flow Supervisor

Flow Graph to Video Grounding for Weakly-Supervised Multi-step Localization

Deep 360° Optical Flow Estimation Based on Multi-Projection Fusion

MaCLR: Motion-Aware Contrastive Learning of Representations for Videos

Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection

Frozen CLIP Models Are Efficient Video Learners

PIP: Physical Interaction Prediction via Mental Simulation with Span Selection

Panoramic Vision Transformer for Saliency Detection in 360° Videos

Bayesian Tracking of Video Graphs Using Joint Kalman Smoothing and Registration

Motion Sensitive Contrastive Learning for Self-Supervised Video Representation

Dynamic Temporal Filtering In Video Models

Tip-Adapter: Training-Free Adaption of CLIP for Few-Shot Classification

Temporal Lift Pooling for Continuous Sign Language Recognition

MORE: Multi-Order RElation Mining for Dense Captioning in 3D Scenes

SiRi: A Simple Selective Retraining Mechanism for Transformer-Based Visual Grounding

Cross-Modal Prototype Driven Network for Radiology Report Generation

TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts

SeqTR: A Simple Yet Universal Network for Visual Grounding

VTC: Improving Video-Text Retrieval with User Comments

FashionViL: Fashion-Focused Vision-and-Language Representation Learning

Weakly Supervised Grounding for VQA in Vision-Language Transformers

Automatic Dense Annotation of Large-Vocabulary Sign Language Videos

MILES: Visual BERT Pre-training with Injected Language Semantics for Video-Text Retrieval

GEB+: A Benchmark for Generic Event Boundary Captioning, Grounding and Retrieval

A Simple and Robust Correlation Filtering Method for Text-Based Person Search.

Other Format:

Print version: Avidan, Shai Computer Vision - ECCV 2022

ISBN:

9783031198335

3031198336

OCLC:

1350792900