Computer Vision – ECCV 2022

Table of Contents

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   Book Overview
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   Chapter 1 Talisman: Targeted Active Learning for Object Detection with Rare Classes and Slices Using Submodular Mutual Information
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   Chapter 2 An Efficient Person Clustering Algorithm for Open Checkout-free Groceries
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   Chapter 3 POP: Mining POtential Performance of New Fashion Products via Webly Cross-modal Query Expansion
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   Chapter 4 Pose Forecasting in Industrial Human-Robot Collaboration
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   Chapter 5 Actor-Centered Representations for Action Localization in Streaming Videos
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   Chapter 6 Bandwidth-Aware Adaptive Codec for DNN Inference Offloading in IoT
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   Chapter 7 Domain Knowledge-Informed Self-supervised Representations for Workout Form Assessment
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   Chapter 8 Responsive Listening Head Generation: A Benchmark Dataset and Baseline
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    Chapter 9 Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics
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    Chapter 10 TIPS: Text-Induced Pose Synthesis
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    Chapter 11 Addressing Heterogeneity in Federated Learning via Distributional Transformation
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    Chapter 12 Where in the World Is This Image? Transformer-Based Geo-localization in the Wild
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    Chapter 13 Colorization for  in situ Marine Plankton Images
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    Chapter 14 Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection
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    Chapter 15 A Sketch is Worth a Thousand Words: Image Retrieval with Text and Sketch
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    Chapter 16 A Cloud 3D Dataset and Application-Specific Learned Image Compression in Cloud 3D
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    Chapter 17 AutoTransition: Learning to Recommend Video Transition Effects
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    Chapter 18 Online Segmentation of LiDAR Sequences: Dataset and Algorithm
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    Chapter 19 Open-world Semantic Segmentation for LIDAR Point Clouds
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    Chapter 20 KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients
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    Chapter 21 Differentiable Raycasting for Self-Supervised Occupancy Forecasting
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    Chapter 22 InAction: Interpretable Action Decision Making for Autonomous Driving
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    Chapter 23 CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection
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    Chapter 24 CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving
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    Chapter 25 Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving
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    Chapter 26 StretchBEV: Stretching Future Instance Prediction Spatially and Temporally
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    Chapter 27 RCLane: Relay Chain Prediction for Lane Detection
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    Chapter 28 Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation
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    Chapter 29 CenterFormer: Center-Based Transformer for 3D Object Detection
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    Chapter 30 Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches
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    Chapter 31 ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning
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    Chapter 32 PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark
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    Chapter 33 PointFix: Learning to Fix Domain Bias for Robust Online Stereo Adaptation
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    Chapter 34 BRNet: Exploring Comprehensive Features for Monocular Depth Estimation
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    Chapter 35 SiamDoGe: Domain Generalizable Semantic Segmentation Using Siamese Network
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    Chapter 36 Context-Aware Streaming Perception in Dynamic Environments
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    Chapter 37 SpOT: Spatiotemporal Modeling for 3D Object Tracking
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    Chapter 38 Multimodal Transformer for Automatic 3D Annotation and Object Detection
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    Chapter 39 Dynamic 3D Scene Analysis by Point Cloud Accumulation
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    Chapter 40 Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection
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    Chapter 41 JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes
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    Chapter 42 Semi-supervised 3D Object Detection with Proficient Teachers
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    Chapter 43 Point Cloud Compression with Sibling Context and Surface Priors