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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 Lane Detection Transformer Based on Multi-frame Horizontal and Vertical Attention and Visual Transformer Module
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    Chapter 2 ProposalContrast : Unsupervised Pre-training for LiDAR-Based 3D Object Detection
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    Chapter 3 PreTraM: Self-supervised Pre-training via Connecting Trajectory and Map
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    Chapter 4 Master of All: Simultaneous Generalization of Urban-Scene Segmentation to  All Adverse Weather Conditions
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    Chapter 5 LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds
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    Chapter 6 Visual Cross-View Metric Localization with Dense Uncertainty Estimates
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    Chapter 7 V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer
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    Chapter 8 DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction
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    Chapter 9 Action-Based Contrastive Learning for Trajectory Prediction
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    Chapter 10 Radatron: Accurate Detection Using Multi-resolution Cascaded MIMO Radar
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    Chapter 11 LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection
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    Chapter 12 Efficient Point Cloud Segmentation with Geometry-Aware Sparse Networks
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    Chapter 13 FH-Net: A Fast Hierarchical Network for Scene Flow Estimation on Real-World Point Clouds
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    Chapter 14 SpatialDETR: Robust Scalable Transformer-Based 3D Object Detection From Multi-view Camera Images With Global Cross-Sensor Attention
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    Chapter 16 Rethinking Closed-Loop Training for Autonomous Driving
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    Chapter 17 SLiDE: Self-supervised LiDAR De-snowing Through Reconstruction Difficulty
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    Chapter 18 Generative Meta-Adversarial Network for Unseen Object Navigation
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    Chapter 19 Object Manipulation via Visual Target Localization
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    Chapter 20 MoDA: Map Style Transfer for Self-supervised Domain Adaptation of Embodied Agents
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    Chapter 21 Housekeep: Tidying Virtual Households Using Commonsense Reasoning
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    Chapter 22 Domain Randomization-Enhanced Depth Simulation and Restoration for Perceiving and Grasping Specular and Transparent Objects
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    Chapter 23 Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction
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    Chapter 24 OPD: Single-View 3D Openable Part Detection
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    Chapter 25 AirDet: Few-Shot Detection Without Fine-Tuning for Autonomous Exploration
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    Chapter 26 TransGrasp: Grasp Pose Estimation of a Category of Objects by Transferring Grasps from Only One Labeled Instance
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    Chapter 28 TIDEE: Tidying Up Novel Rooms Using Visuo-Semantic Commonsense Priors
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    Chapter 29 Learning Efficient Multi-agent Cooperative Visual Exploration
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    Chapter 30 Zero-Shot Category-Level Object Pose Estimation
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    Chapter 31 Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin Picking
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    Chapter 32 Active Audio-Visual Separation of Dynamic Sound Sources
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    Chapter 33 DexMV: Imitation Learning for Dexterous Manipulation from Human Videos
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    Chapter 34 Sim-2-Sim Transfer for Vision-and-Language Navigation in Continuous Environments
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    Chapter 35 Style-Agnostic Reinforcement Learning
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    Chapter 36 Self-supervised Interactive Object Segmentation Through a Singulation-and-Grasping Approach
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    Chapter 37 Learning from Unlabeled 3D Environments for Vision-and-Language Navigation
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    Chapter 38 BodySLAM: Joint Camera Localisation, Mapping, and Human Motion Tracking
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    Chapter 39 FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion
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    Chapter 40 Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning
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Title
Computer Vision – ECCV 2022
Published by
Springer Nature Switzerland, January 2022
DOI 10.1007/978-3-031-19842-7
ISBNs
978-3-03-119841-0, 978-3-03-119842-7
Editors

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

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