Computer Vision – ECCV 2022 : 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part V / 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 ; 13665

Language:

English

Subjects (All):

Computer vision.

Computer Vision.

Local Subjects:

Computer Vision.

Physical Description:

1 online resource (804 pages)

Edition:

1st ed. 2022.

Place of Publication:

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

System Details:

Mode of access: World Wide Web.

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:

Adaptive Image Transformations for Transfer-Based Adversarial Attack

Generative Multiplane Images: Making a 2D GAN 3D-Aware

AdvDO: Realistic Adversarial Attacks for Trajectory Prediction

Adversarial Contrastive Learning via Asymmetric InfoNCE

One Size Does NOT Fit All: Data-Adaptive Adversarial Training

UniCR: Universally Approximated Certified Robustness via Randomized Smoothing

Hardly Perceptible Trojan Attack against Neural Networks with Bit Flips

Robust Network Architecture Search via Feature Distortion Restraining

SecretGen: Privacy Recovery on Pre-trained Models via Distribution Discrimination

Triangle Attack: A Query-Efficient Decision-Based Adversarial Attack

Data-Free Backdoor Removal Based on Channel Lipschitzness

Black-Box Dissector: Towards Erasing-Based Hard-Label Model Stealing Attack

Learning Energy-Based Models with Adversarial Training

Adversarial Label Poisoning Attack on Graph Neural Networks via Label Propagation

Revisiting Outer Optimization in Adversarial Training

Zero-Shot Attribute Attacks on Fine-Grained Recognition Models

Towards Effective and Robust Neural Trojan Defenses via Input Filtering

Scaling Adversarial Training to Large Perturbation Bounds

Exploiting the Local Parabolic Landscapes of Adversarial Losses to Accelerate Black-Box Adversarial Attack

Generative Domain Adaptation for Face Anti-Spoofing

MetaGait: Learning to Learn an Omni Sample Adaptive Representation for Gait Recognition

GaitEdge: Beyond Plain End-to-End Gait Recognition for Better Practicality

UIA-ViT: Unsupervised Inconsistency-Aware Method Based on Vision Transformer for Face Forgery Detection

Effective Presentation Attack Detection Driven by Face Related Task

PPT: Token-Pruned Pose Transformer for Monocular and Multi-View Human Pose Estimation

AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing

P-STMO: Pre-trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation

D&D: Learning Human Dynamics from Dynamic Camera

Explicit Occlusion Reasoning for Multi-Person 3D Human Pose Estimation

COUCH: Towards Controllable Human-Chair Interactions

Identity-Aware Hand Mesh Estimation and Personalization from RGB Images

C3P: Cross-Domain Pose Prior Propagation for Weakly Supervised 3D Human Pose Estimation

Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields

CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation

DeciWatch: A Simple Baseline for 10Ö Efficient 2D and 3D Pose Estimation

SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos

PoseTrans: A Simple yet Effective Pose Transformation Augmentation for Human Pose Estimation

Multi-Person 3D Pose and Shape Estimationvia Inverse Kinematics and Refinement

Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction

Structural Triangulation: A Closed-Form Solution to Constrained 3D Human Pose Estimation

Audio-Driven Stylized Gesture Generation with Flow-Based Model

Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation.

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Avidan, Shai Computer Vision - ECCV 2022

ISBN:

9783031200656

3031200659