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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
Attention for Chapter 40: Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning
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Chapter title
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning
Chapter number 40
Book title
Computer Vision – ECCV 2022
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-19842-7_40
Book ISBNs
978-3-03-119841-0, 978-3-03-119842-7
Authors

Zhang, Chi, Xie, Sirui, Jia, Baoxiong, Wu, Ying Nian, Zhu, Song-Chun, Zhu, Yixin

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 24%
Student > Master 2 12%
Student > Bachelor 1 6%
Other 1 6%
Professor > Associate Professor 1 6%
Other 1 6%
Unknown 7 41%
Readers by discipline Count As %
Computer Science 5 29%
Engineering 2 12%
Neuroscience 1 6%
Unknown 9 53%