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Computer Vision - ECCV 2022 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXXIX
Title
Computer Vision - ECCV 2022 [electronic resource] : 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXXIX / edited by Shai Avidan, Gabriel Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner.
ISBN
9783031198427
Edition
1st ed. 2022.
Publication
Cham : Springer Nature Switzerland : Imprint: Springer, 2022.
Physical Description
1 online resource (LVI, 729 p.) 220 illus., 214 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23-27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
Variant and related titles
Springer ENIN.
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Format
Books / Online
Language
English
Added to Catalog
October 27, 2022
Series
Lecture Notes in Computer Science, 13699
Contents
Lane Detection Transformer Based on Multi-Frame Horizontal and Vertical Attention and Visual Transformer Module
ProposalContrast: Unsupervised Pre-training for LiDAR-Based 3D Object Detection
PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map
Master of All: Simultaneous Generalization of Urban-Scene Segmentation to All Adverse Weather Conditions
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds
Visual Cross-View Metric Localization with Dense Uncertainty Estimates
V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer
DevNet: Self-Supervised Monocular Depth Learning via Density Volume Construction
Action-Based Contrastive Learning for Trajectory Prediction
Radatron: Accurate Detection Using Multi-Resolution Cascaded MIMO Radar
LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection
Efficient Point Cloud Segmentation with Geometry-Aware Sparse Networks
FH-Net: A Fast Hierarchical Network for Scene Flow Estimation on Real-World Point Clouds
SpatialDETR: Robust Scalable Transformer-Based 3D Object Detection from Multi-View Camera Images with Global Cross-Sensor Attention
Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes
Rethinking Closed-Loop Training for Autonomous Driving
SLiDE: Self-Supervised LiDAR De-Snowing through Reconstruction Difficulty
Generative Meta-Adversarial Network for Unseen Object Navigation
Object Manipulation via Visual Target Localization
MoDA: Map Style Transfer for Self-Supervised Domain Adaptation of Embodied Agents
Housekeep: Tidying Virtual Households Using Commonsense Reasoning
Domain Randomization-Enhanced Depth Simulation and Restoration for Perceiving and Grasping Specular and Transparent Objects
Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction
OPD: Single-View 3D Openable Part Detection
AirDet: Few-Shot Detection without Fine-Tuning for Autonomous Exploration
TransGrasp: Grasp Pose Estimation of a Category of Objects by Transferring Grasps from Only One Labeled Instance
StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning
TIDEE: Tidying Up Novel Rooms Using Visuo-Semantic Commonsense Priors
Learning Efficient Multi-agent Cooperative Visual Exploration
Zero-Shot Category-Level Object Pose Estimation
Sim-to-Real 6D Object Pose Estimation via Iterative Self-Training for Robotic Bin Picking
Active Audio-Visual Separation of Dynamic Sound Sources
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos
Sim-2-Sim Transfer for Vision-and-Language Navigation in Continuous Environments
Style-Agnostic Reinforcement Learning
Self-Supervised Interactive Object Segmentation through a Singulation-and-Grasping Approach
Learning from Unlabeled 3D Environments for Vision-and-Language Navigation
BodySLAM: Joint Camera Localisation, Mapping, and Human Motion Tracking
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning
Video Dialog As Conversation about Objects Living in Space-Time.
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