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Computer Vision – ECCV 2022

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Table of Contents

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    Book Overview
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    Chapter 1 Making the Most of Text Semantics to Improve Biomedical Vision–Language Processing
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    Chapter 2 Generative Negative Text Replay for Continual Vision-Language Pretraining
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    Chapter 3 Video Graph Transformer for Video Question Answering
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    Chapter 4 Trace Controlled Text to Image Generation
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    Chapter 5 Video Question Answering with Iterative Video-Text Co-tokenization
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    Chapter 6 Rethinking Data Augmentation for Robust Visual Question Answering
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    Chapter 7 Explicit Image Caption Editing
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    Chapter 8 Can Shuffling Video Benefit Temporal Bias Problem: A Novel Training Framework for Temporal Grounding
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    Chapter 9 Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly
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    Chapter 10 GRIT: Faster and Better Image Captioning Transformer Using Dual Visual Features
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    Chapter 11 Selective Query-guided Debiasing Network for Video Corpus Moment Retrieval
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    Chapter 12 Spatial and Visual Perspective-Taking via View Rotation and Relation Reasoning for Embodied Reference Understanding
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    Chapter 13 Object-Centric Unsupervised Image Captioning
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    Chapter 14 Contrastive Vision-Language Pre-training with Limited Resources
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    Chapter 15 Learning Linguistic Association Towards Efficient Text-Video Retrieval
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    Chapter 16 ASSISTER: Assistive Navigation via Conditional Instruction Generation
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    Chapter 17 X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks
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    Chapter 18 Learning Disentanglement with Decoupled Labels for Vision-Language Navigation
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    Chapter 19 Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input
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    Chapter 20 Word-Level Fine-Grained Story Visualization
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    Chapter 21 Unifying Event Detection and Captioning as Sequence Generation via Pre-training
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    Chapter 22 Multimodal Transformer with Variable-Length Memory for Vision-and-Language Navigation
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    Chapter 23 Fine-Grained Visual Entailment
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    Chapter 24 Bottom Up Top Down Detection Transformers for Language Grounding in Images and Point Clouds
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    Chapter 25 New Datasets and Models for Contextual Reasoning in Visual Dialog
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    Chapter 26 VisageSynTalk: Unseen Speaker Video-to-Speech Synthesis via Speech-Visage Feature Selection
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    Chapter 27 Classification-Regression for Chart Comprehension
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    Chapter 28 AssistQ: Affordance-Centric Question-Driven Task Completion for Egocentric Assistant
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    Chapter 29 FindIt: Generalized Localization with Natural Language Queries
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    Chapter 30 UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language Modeling
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    Chapter 31 Scaling Open-Vocabulary Image Segmentation with Image-Level Labels
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    Chapter 32 The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning
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    Chapter 33 Speaker-Adaptive Lip Reading with User-Dependent Padding
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    Chapter 34 TISE: Bag of Metrics for Text-to-Image Synthesis Evaluation
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    Chapter 35 SemAug: Semantically Meaningful Image Augmentations for Object Detection Through Language Grounding
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    Chapter 36 Referring Object Manipulation of Natural Images with Conditional Classifier-Free Guidance
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    Chapter 37 NewsStories: Illustrating Articles with Visual Summaries
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    Chapter 38 Webly Supervised Concept Expansion for General Purpose Vision Models
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    Chapter 39 FedVLN: Privacy-Preserving Federated Vision-and-Language Navigation
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    Chapter 40 CODER: Coupled Diversity-Sensitive Momentum Contrastive Learning for Image-Text Retrieval
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    Chapter 41 Language-Driven Artistic Style Transfer
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    Chapter 42 Single-Stream Multi-level Alignment for Vision-Language Pretraining
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Title
Computer Vision – ECCV 2022
Published by
Springer Nature Switzerland, October 2022
DOI 10.1007/978-3-031-20059-5
ISBNs
978-3-03-120058-8, 978-3-03-120059-5
Editors

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

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