Computational visual media = 13th In...
CVM (Conference) (2025 :)

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  • Computational visual media = 13th International Conference, CVM 2025, Hong Kong SAR, China, April 19-21, 2025 : proceedings.. Part III /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Computational visual media/ edited by Piotr Didyk, Junhui Hou.
    Reminder of title: 13th International Conference, CVM 2025, Hong Kong SAR, China, April 19-21, 2025 : proceedings.
    remainder title: CVM 2025
    other author: Didyk, Piotr.
    corporate name: CVM (Conference)
    Published: Singapore :Springer Nature Singapore : : 2025.,
    Description: xvii, 458 p. :ill. (some col.), digital ;24 cm.
    [NT 15003449]: Image and Video Analysis DepthFisheye: Efficient Fine-Tuning of Depth Estimation Models for Fisheye Cameras -- DIMATrack: Dimension Aware Data Association for Multi-Object Tracking -- Efficient Transformer Network for Visible and Ultraviolet Object Tracking -- LightGR-Transformer: Light Grouped Residual Transformer for Multispectral Object Detection -- ADMMOA: Attribute-Driven Multimodal Optimization for Face Recognition Adversarial Attacks -- Training-Free Language-Guided Video Summarization via Multi-Grained Saliency Scoring -- Multimodal Learning Reinforced Label Denoising for Weakly-Supervised Audio-Visual Video Parsing -- Bridging the Modality Gap: Advancing Multimodal Human Pose Estimation with Modality-Adaptive Pose Estimator and Novel Benchmark Datasets -- Momentum-Based Uni-Modal Soft-Label Alignment and Multi-Modal Latent Projection Networks for Optimizing Image-Text Retrieval -- Multi-Granularity and Multi-Modal Prompt Learning for Person Re-Identification -- Local and Global Feature Cross-attention Multimodal Place Recognition -- IML-CMM - A Multimodal Sentiment Analysis Framework Integrating Intra-Modal Learning and Cross-Modal Mixup Enhancement -- Geometrical Processing MCFG with GUMAP: A Simple and Effective Clustering Framework on Grassmann Manifold -- Joint UMAP for Visualization of Time-Dependent DataUnsupervised Domain Adaptation on Point Cloud Classification via Imposing Structural Manifolds into Representation Space -- Applications Learning Adaptive Basis Fonts to Fuse Content Features for Few-shot Font Generation -- TaiCrowd: A High-Performance Simulation Framework for Massive Crowd -- Feature Disentanglement and Fusion Model for Multi-Source Domain Adaptation with Domain-Specific Features -- A Trademark Retrieval Method Based on Self-Supervised Learning -- Weaken Noisy Feature: Boosting Semi-Supervised Learning by Noise Estimation -- Multi-Dimension Full Scene Integrated Visual Emotion Analysis Network -- Gap-KD: Bridging the Significant Capacity Gap Between Teacher and Student Model.
    Contained By: Springer Nature eBook
    Subject: Image processing - Congresses. -
    Online resource: https://doi.org/10.1007/978-981-96-5815-2
    ISBN: 9789819658152
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