Computer Vision – ECCV 2022

Table of Contents

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   Book Overview
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   Chapter 1 Efficient One-Stage Video Object Detection by Exploiting Temporal Consistency
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   Chapter 2 Leveraging Action Affinity and Continuity for Semi-supervised Temporal Action Segmentation
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   Chapter 3 Spotting Temporally Precise, Fine-Grained Events in Video
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   Chapter 4 Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation
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   Chapter 5 Efficient Video Transformers with Spatial-Temporal Token Selection
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   Chapter 6 Long Movie Clip Classification with State-Space Video Models
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   Chapter 7 Prompting Visual-Language Models for Efficient Video Understanding
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   Chapter 8 Asymmetric Relation Consistency Reasoning for Video Relation Grounding
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    Chapter 9 Self-supervised Social Relation Representation for Human Group Detection
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    Chapter 10 K -centered Patch Sampling for Efficient Video Recognition
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    Chapter 11 A Deep Moving-Camera Background Model
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    Chapter 12 GraphVid : It only Takes a Few Nodes to Understand a Video
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    Chapter 13 Delta Distillation for Efficient Video Processing
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    Chapter 14 MorphMLP: An Efficient MLP-Like Backbone for Spatial-Temporal Representation Learning
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    Chapter 15 COMPOSER : Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality
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    Chapter 16 E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context
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    Chapter 17 TDViT: Temporal Dilated Video Transformer for Dense Video Tasks
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    Chapter 18 Semi-supervised Learning of Optical Flow by Flow Supervisor
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    Chapter 19 Flow Graph to Video Grounding for Weakly-Supervised Multi-step Localization
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    Chapter 20 Deep 360 $$^\circ $$ ∘ Optical Flow Estimation Based on Multi-projection Fusion
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    Chapter 21 MaCLR: Motion-Aware Contrastive Learning of Representations for Videos
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    Chapter 23 Frozen CLIP Models are Efficient Video Learners
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    Chapter 24 PIP: Physical Interaction Prediction via Mental Simulation with Span Selection
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    Chapter 25 Panoramic Vision Transformer for Saliency Detection in 360 $$^\circ $$ ∘ Videos
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    Chapter 26 Bayesian Tracking of Video Graphs Using Joint Kalman Smoothing and Registration
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    Chapter 27 Motion Sensitive Contrastive Learning for Self-supervised Video Representation
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    Chapter 28 Dynamic Temporal Filtering in Video Models
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    Chapter 29 Tip-Adapter: Training-Free Adaption of CLIP for Few-Shot Classification
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    Chapter 30 Temporal Lift Pooling for Continuous Sign Language Recognition
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    Chapter 31 MORE: Multi-Order RElation Mining for Dense Captioning in 3D Scenes
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    Chapter 32 SiRi: A Simple Selective Retraining Mechanism for Transformer-Based Visual Grounding
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    Chapter 34 TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts
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    Chapter 35 SeqTR: A Simple Yet Universal Network for Visual Grounding
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    Chapter 37 FashionViL: Fashion-Focused Vision-and-Language Representation Learning
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    Chapter 38 Weakly Supervised Grounding for VQA in Vision-Language Transformers
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    Chapter 39 Automatic Dense Annotation of Large-Vocabulary Sign Language Videos
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    Chapter 40 MILES: Visual BERT Pre-training with Injected Language Semantics for Video-Text Retrieval
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    Chapter 41 GEB+: A Benchmark for Generic Event Boundary Captioning, Grounding and Retrieval
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    Chapter 42 A Simple and Robust Correlation Filtering Method for Text-Based Person Search