MultiMedia Modeling 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29 – February 2, 2024, Proceedings, Part I /

This book constitutes the refereed proceedings of the 30th International Conference on MultiMedia Modeling, MMM 2024, held in Amsterdam, The Netherlands, during January 29 – February 2, 2024. The 112 full papers included in this volume were carefully reviewed and selected from 297 submissions. The M...

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Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Rudinac, Stevan (Editor), Hanjalic, Alan (Editor), Liem, Cynthia (Editor), Worring, Marcel (Editor), Jónsson, Björn Þór (Editor), Liu, Bei (Editor), Yamakata, Yoko (Editor)
Formato: Electrónico eBook
Lenguaje:inglés
Publicado: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edición:1st ed. 2024.
Colección:Lecture Notes in Computer Science, 14554
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Acceso en línea:https://doi.org/10.1007/978-3-031-53305-1
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Tabla de Contenidos:
  • Where are Biases? Adversarial Debiasing with Spurious Feature Visualization
  • Cross-Modal Hash Retrieval with Category Semantics
  • Spatiotemporal Representation Enhanced ViT for Video Recognition
  • SCFormer: A Vision Transformer with Split Channel in Sitting Posture Recognition
  • Dive into Coarse-to-Fine Strategy in Single Image Deblurring
  • TICondition: Expanding Control Capabilities for Text-to-Image Generation with Multi-Modal Conditions
  • Enhancing Generative Generalized Zero Shot Learning via Multi-Space Constraints and Adapative Integration
  • Joint Image Data Hiding and Rate-Distortion Optimization in Neural Compressed Latent Representations
  • GSUNet: A Brain Tumor Segmentation Method Based On 3D Ghost Shuffle U-Net
  • ACT: Action-associated and Target-related Representations for Object Navigation
  • Foreground Feature Enhancement and Peak & Background Suppression for Fine-Grained Visual Classification
  • YOLOv5-SRR: Enhancing YOLOv5 for Effective Underwater Target Detection
  • Image Clustering and Generation with HDGMVAE-I
  • “Car or Bus?" CLearSeg: CLIP-enhanced Discrimination among Resembling Classes for Few-Shot Semantic Segmentation
  • PANDA: Prompt-based Context- and Indoor-aware Pretraining for Vision and Language Navigation
  • Cross-Modal Semantic Alignment Learning for Text-based Person Search
  • Point Cloud Classification via Learnable Memory Bank
  • Adversarially Regularized Low-Light Image Enhancement
  • Advancing Incremental Few-shot Semantic Segmentation via Semantic-guided Relation Alignment and Adaptation
  • PMGCN:Preserving measuring mapping prototype graph calibration network for few-shot learning
  • ARE-CAM: An interpretable approach to quantitatively evaluating the adversarial robustness of deep models based on CAM
  • SSK-Yolo:Global feature-driven small object detection network for images
  • MetaVSR: A Novel Approach to Video Super-Resolution for Arbitrary Magnification
  • From Skulls to Faces: A Deep Generative Framework for Realistic 3D Craniofacial Reconstruction
  • Structure-aware Adaptive Hybrid Interaction Modeling for Image-Text Matching
  • Using Saliency and Cropping to Improve Video Memorability
  • Contextual Augmentation with Bias Adaptive for Few-shot Video Object Segmentation
  • A lightweight local attention network for image super resolution
  • Domain Adaptation for Speaker Verification Based on Self-Supervised Learning with Adversarial Training
  • Quality Scalable Video Coding based on Neural Representation
  • Hierarchical Bi-Directional Temporal Context Mining for Improved Video Compression
  • MAMixer: Multivariate Time Series Forecasting via Multi-Axis Mixing
  • A Custom GAN-based Robust Algorithm for Medical Image Watermarking
  • A Detail-guided Multi-source Fusion Network for Remote Sensing Object Detection
  • A Secure and Fair Federated Learning Protocol under the Universal Composability Framework
  • Bi-directional Interaction and Dense Aggregation Network for RGB-D Salient Object Detection
  • Face Forgery Detection via Texture and Saliency Enhancement.