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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 AU-Aware 3D Face Reconstruction through Personalized AU-Specific Blendshape Learning
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    Chapter 2 BézierPalm: A Free Lunch for Palmprint Recognition
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    Chapter 3 Adaptive Transformers for Robust Few-shot Cross-domain Face Anti-spoofing
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    Chapter 4 $$\text {Face2Face}^\rho $$ Face2Face ρ : Real-Time High-Resolution One-Shot Face Reenactment
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    Chapter 5 Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation
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    Chapter 6 BoundaryFace: A Mining Framework with Noise Label Self-correction for Face Recognition
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    Chapter 7 Pre-training Strategies and Datasets for Facial Representation Learning
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    Chapter 8 Look Both Ways: Self-supervising Driver Gaze Estimation and Road Scene Saliency
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    Chapter 9 MFIM: Megapixel Facial Identity Manipulation
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    Chapter 10 3D Face Reconstruction with Dense Landmarks
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    Chapter 11 Emotion-aware Multi-view Contrastive Learning for Facial Emotion Recognition
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    Chapter 12 Order Learning Using Partially Ordered Data via Chainization
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    Chapter 13 Unsupervised High-Fidelity Facial Texture Generation and Reconstruction
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    Chapter 14 Multi-domain Learning for Updating Face Anti-spoofing Models
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    Chapter 15 Towards Metrical Reconstruction of Human Faces
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    Chapter 16 Discover and Mitigate Unknown Biases with Debiasing Alternate Networks
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    Chapter 17 Unsupervised and Semi-supervised Bias Benchmarking in Face Recognition
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    Chapter 19 MIME: Minority Inclusion for Majority Group Enhancement of AI Performance
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    Chapter 20 Studying Bias in GANs Through the Lens of Race
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    Chapter 21 Trust, but Verify: Using Self-supervised Probing to Improve Trustworthiness
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    Chapter 22 Learning to Censor by Noisy Sampling
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    Chapter 23 An Invisible Black-Box Backdoor Attack Through Frequency Domain
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    Chapter 24 FairGRAPE: Fairness-Aware GRAdient Pruning mEthod for Face Attribute Classification
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    Chapter 25 Attaining Class-Level Forgetting in Pretrained Model Using Few Samples
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    Chapter 26 Anti-Neuron Watermarking: Protecting Personal Data Against Unauthorized Neural Networks
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    Chapter 28 Recover Fair Deep Classification Models via Altering Pre-trained Structure
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    Chapter 29 Decouple-and-Sample: Protecting Sensitive Information in Task Agnostic Data Release
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    Chapter 30 Privacy-Preserving Action Recognition via Motion Difference Quantization
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    Chapter 32 Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration
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    Chapter 33 FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations
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    Chapter 34 Distilling the Undistillable: Learning from a Nasty Teacher
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    Chapter 35 SOS! Self-supervised Learning over Sets of Handled Objects in Egocentric Action Recognition
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    Chapter 36 Egocentric Activity Recognition and Localization on a 3D Map
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    Chapter 37 Generative Adversarial Network for Future Hand Segmentation from Egocentric Video
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    Chapter 38 My View is the Best View: Procedure Learning from Egocentric Videos
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    Chapter 39 GIMO: Gaze-Informed Human Motion Prediction in Context
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    Chapter 40 Image-Based CLIP-Guided Essence Transfer
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    Chapter 41 Detecting and Recovering Sequential DeepFake Manipulation
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    Chapter 42 Self-supervised Sparse Representation for Video Anomaly Detection
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Title
Computer Vision – ECCV 2022
Published by
Springer Nature Switzerland, November 2022
DOI 10.1007/978-3-031-19778-9
ISBNs
978-3-03-119777-2, 978-3-03-119778-9
Editors

Avidan, Shai, Brostow, Gabriel, Cissé, Moustapha, Farinella, Giovanni Maria, Hassner, Tal

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