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E-raamat: MultiMedia Modeling: 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29 - February 2, 2024, Proceedings, Part I

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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 MMM conference were organized in topics related to multimedia modelling, particularly: audio, image, video processing, coding and compression; multimodal analysis for retrieval applications, and multimedia fusion methods.
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
VideoObject Segmentation.- A lightweight local attention network for image
super resolution.- Domain Adaptation for Speaker Verification Based on
Self-SupervisedLearning with Adversarial Training.- Quality Scalable Video
Coding based on Neural Representation.- Hierarchical Bi-Directional Temporal
Context Mining for ImprovedVideo 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.