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Computer Vision – ECCV 2022

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Cover of 'Computer Vision – ECCV 2022'

Table of Contents

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    Book Overview
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    Chapter 1 Adaptive Image Transformations for Transfer-Based Adversarial Attack
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    Chapter 2 Generative Multiplane Images: Making a 2D GAN 3D-Aware
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    Chapter 3 AdvDO: Realistic Adversarial Attacks for Trajectory Prediction
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    Chapter 4 Adversarial Contrastive Learning via Asymmetric InfoNCE
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    Chapter 5 One Size Does NOT Fit All: Data-Adaptive Adversarial Training
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    Chapter 6 UniCR: Universally Approximated Certified Robustness via Randomized Smoothing
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    Chapter 8 Robust Network Architecture Search via Feature Distortion Restraining
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    Chapter 9 SecretGen: Privacy Recovery on Pre-trained Models via Distribution Discrimination
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    Chapter 11 Data-Free Backdoor Removal Based on Channel Lipschitzness
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    Chapter 12 Black-Box Dissector: Towards Erasing-Based Hard-Label Model Stealing Attack
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    Chapter 13 Learning Energy-Based Models with Adversarial Training
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    Chapter 14 Adversarial Label Poisoning Attack on Graph Neural Networks via Label Propagation
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    Chapter 15 Revisiting Outer Optimization in Adversarial Training
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    Chapter 16 Zero-Shot Attribute Attacks on Fine-Grained Recognition Models
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    Chapter 17 Towards Effective and Robust Neural Trojan Defenses via Input Filtering
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    Chapter 18 Scaling Adversarial Training to Large Perturbation Bounds
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    Chapter 19 Exploiting the Local Parabolic Landscapes of Adversarial Losses to Accelerate Black-Box Adversarial Attack
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    Chapter 20 Generative Domain Adaptation for Face Anti-Spoofing
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    Chapter 21 MetaGait: Learning to Learn an Omni Sample Adaptive Representation for Gait Recognition
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    Chapter 22 GaitEdge: Beyond Plain End-to-End Gait Recognition for Better Practicality
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    Chapter 23 UIA-ViT: Unsupervised Inconsistency-Aware Method Based on Vision Transformer for Face Forgery Detection
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    Chapter 24 Effective Presentation Attack Detection Driven by Face Related Task
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    Chapter 25 PPT: Token-Pruned Pose Transformer for Monocular and Multi-view Human Pose Estimation
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    Chapter 27 P-STMO: Pre-trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation
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    Chapter 28 D &D: Learning Human Dynamics from Dynamic Camera
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    Chapter 29 Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation
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    Chapter 30 COUCH: Towards Controllable Human-Chair Interactions
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    Chapter 31 Identity-Aware Hand Mesh Estimation and Personalization from RGB Images
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    Chapter 32 C3P: Cross-Domain Pose Prior Propagation for Weakly Supervised 3D Human Pose Estimation
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    Chapter 33 Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields
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    Chapter 34 CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation
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    Chapter 35 DeciWatch: A Simple Baseline for  $$10\times $$ 10 × Efficient 2D and 3D Pose Estimation
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    Chapter 36 SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos
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    Chapter 37 PoseTrans: A Simple yet Effective Pose Transformation Augmentation for Human Pose Estimation
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    Chapter 38 Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement
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    Chapter 39 Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction
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    Chapter 40 Structural Triangulation: A Closed-Form Solution to Constrained 3D Human Pose Estimation
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    Chapter 41 Audio-Driven Stylized Gesture Generation with Flow-Based Model
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    Chapter 42 Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation
Attention for Chapter 3: AdvDO: Realistic Adversarial Attacks for Trajectory Prediction
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Chapter title
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction
Chapter number 3
Book title
Computer Vision – ECCV 2022
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-20065-6_3
Book ISBNs
978-3-03-120064-9, 978-3-03-120065-6
Authors

Cao, Yulong, Xiao, Chaowei, Anandkumar, Anima, Xu, Danfei, Pavone, Marco

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 38%
Student > Master 3 13%
Unspecified 2 8%
Lecturer 1 4%
Professor 1 4%
Other 3 13%
Unknown 5 21%
Readers by discipline Count As %
Computer Science 12 50%
Unspecified 2 8%
Physics and Astronomy 1 4%
Decision Sciences 1 4%
Engineering 1 4%
Other 0 0%
Unknown 7 29%

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