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| Link zu diesem Datensatz | https://d-nb.info/1364125528 |
| Art des Inhalts | Konferenzschrift |
| Titel | Computational Visual Media : 13th International Conference, CVM 2025, Hong Kong SAR, China, April 19–21, 2025, Proceedings, Part III / edited by Piotr Didyk, Junhui Hou |
| Person(en) |
Didyk, Piotr (Herausgeber) Hou, Junhui (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2025 |
| Verlag | Singapore : Springer Nature Singapore, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2025 |
| Umfang/Format | Online-Ressource, XVII, 458 p. 162 illus., 157 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-981-9658-14-5 Printed edition:: ISBN: 978-981-9658-16-9 |
| Inhalt | 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 Data -- Unsupervised 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 |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2504300420053.664096966941 DOI: 10.1007/978-981-96-5815-2 |
| URL | https://doi.org/10.1007/978-981-96-5815-2 |
| ISBN/Einband/Preis | 978-981-96-5815-2 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 15665 |
| DDC-Notation | 006.3 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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