Computer vision - ECCV 2024 = 18th E...
European Conference on Computer Vision (2024 :)

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  • Computer vision - ECCV 2024 = 18th European Conference, Milan, Italy, September 29-October 4, 2024 : proceedings.. Part XXXIV /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Computer vision - ECCV 2024/ edited by Aleš Leonardis ... [et al.].
    Reminder of title: 18th European Conference, Milan, Italy, September 29-October 4, 2024 : proceedings.
    remainder title: ECCV 2024
    other author: Leonardis, Aleš.
    corporate name: European Conference on Computer Vision
    Published: Cham :Springer Nature Switzerland : : 2025.,
    Description: lxxxv, 491 p. :ill. (chiefly color), digital ;24 cm.
    [NT 15003449]: Neural Metamorphosis -- WHAC: World-grounded Humans and Cameras -- Federated Learning with Local Openset Noisy Labels -- Diff3DETR: Agent-based Diffusion Model for Semi-supervised 3D Object Detection -- PSALM: Pixelwise Segmentation with Large Multi-modal Model -- Layout-Corrector: Alleviating Layout Sticking Phenomenon in Discrete Diffusion Model -- Active Coarse-to-Fine Segmentation of Moveable Parts from Real Images -- Topo4D: Topology-Preserving Gaussian Splatting for High-Fidelity 4D Head Capture -- Learning Modality-agnostic Representation for Semantic Segmentation from Any Modalities -- Kinetic Typography Diffusion Model -- Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-Relational Extraction -- Light-in-Flight for a World-in-Motion -- GroupDiff: Diffusion-based Group Portrait Editing -- Faceptor: A Generalist Model for Face Perception -- Inter-Class Topology Alignment for Efficient Black-Box Substitute Attacks -- Segment3D: Learning Fine-Grained Class-Agnostic 3D Segmentation without Manual Labels -- InsMapper: Exploring Inner-instance Information for Vectorized HD Mapping -- KDProR: A Knowledge-Decoupling Probabilistic Framework for Video-Text Retrieval -- Category-level Object Detection, Pose Estimation and Reconstruction from Stereo Images -- Learning with Unmasked Tokens Drives Stronger Vision Learners -- Dual-stage Hyperspectral Image Classification Model with Spectral Supertoken -- Multi-Task Domain Adaptation for Language Grounding with 3D Objects -- Efficient Active Domain Adaptation for Semantic Segmentation by Selecting Information-rich Superpixels -- Efficient Training of Spiking Neural Networks with Multi-Parallel Implicit Stream Architecture -- Camera-LiDAR Cross-modality Gait Recognition -- LiteSAM is Actually what you Need for segment Everything -- IGNORE: Information Gap-based False Negative Loss Rejection for Single Positive Multi-Label Learning.
    Contained By: Springer Nature eBook
    Subject: Computer vision - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-72754-2
    ISBN: 9783031727542
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