Computer vision - ECCV 2022 = 17th E...
European Conference on Computer Vision (2022 :)

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  • Computer vision - ECCV 2022 = 17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings.. Part XXXVIII /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Computer vision - ECCV 2022/ edited by Shai Avidan ... [et al.].
    Reminder of title: 17th European Conference, Tel Aviv, Israel, October 23-27, 2022 : proceedings.
    other author: Avidan, Shai.
    corporate name: European Conference on Computer Vision
    Published: Cham :Springer Nature Switzerland : : 2022.,
    Description: lvii, 763 p. :ill. (chiefly color), digital ;24 cm.
    [NT 15003449]: TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices Using Submodular Mutual Information -- An Efficient Person Clustering Algorithm for Open Checkout-Free Groceries -- POP: Mining POtential Performance of New Fashion Products via Webly Cross-Modal Query Expansion -- Pose Forecasting in Industrial Human-Robot Collaboration -- Actor-Centered Representations for Action Localization in Streaming Videos -- Bandwidth-Aware Adaptive Codec for DNN Inference Offloading in IoT -- Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment -- Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics -- TIPS: Text-Induced Pose Synthesis -- Addressing Heterogeneity in Federated Learning via Distributional Transformation -- Where in the World Is This Image? Transformer-Based Geo-Localization in the Wild -- Colorization for In Situ Marine Plankton Images -- Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection -- A Sketch Is Worth a Thousand Words: Image Retrieval with Text and Sketch -- A Cloud 3D Dataset and Application-Specific Learned Image Compression in Cloud 3D -- AutoTransition: Learning to Recommend Video Transition Effects -- Online Segmentation of LiDAR Sequences: Dataset and Algorithm -- Open-World Semantic Segmentation for LIDAR Point Clouds -- KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients -- Differentiable Raycasting for Self-Supervised Occupancy Forecasting -- InAction: Interpretable Action Decision Making for Autonomous Driving -- CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection -- CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving -- Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving -- StretchBEV: Stretching Future Instance Prediction Spatially and Temporally -- RCLane: Relay Chain Prediction for Lane Detection -- Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation -- CenterFormer: Center-based Transformer for 3D Object Detection -- Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches -- ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning -- PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark -- PointFix: Learning to Fix Domain Bias for Robust Online Stereo Adaptation -- BRNet: Exploring Comprehensive Features for Monocular Depth Estimation -- SiamDoGe: Domain Generalizable Semantic Segmentation Using Siamese Network -- Context-Aware Streaming Perception in Dynamic Environments -- Context-Aware Streaming Perception in Dynamic Environments -- Multimodal Transformer for Automatic 3D Annotation and Object Detection -- Dynamic 3D Scene Analysis by Point Cloud Accumulation -- Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection -- JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes -- Semi-Supervised 3D Object Detection with Proficient Teachers -- Point Cloud Compression with Sibling Context and Surface Priors.
    Contained By: Springer Nature eBook
    Subject: Computer vision - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-19839-7
    ISBN: 9783031198397
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