MultiMedia Modeling : 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29 - February 2, 2024, Proceedings. Stevan Rudinac, Alan Hanjalic, Cynthia Liem, Marcel Worring, Björn Þór Jónsson, Bei Liu, Yoko Yamakata, editors. Part II /

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...

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Bibliographic Details
Corporate Author: International Multimedia Modelling Conference Amsterdam, Netherlands
Other Authors: Rudinac, Stevan (Editor), Hanjalic, A. (Editor), Liem, Cynthia (Editor), Worring, Marcel (Editor), Björn Þór Jónsson (Editor), Liu, Bei (Editor), Yamakata, Yoko (Editor)
Format: Ebook
Language:English
Published: Cham : Springer, 2024.
Series:Lecture notes in computer science ; 14555
Subjects:
Online Access:Springer eBooks
Table of Contents:
  • Self-distillation Enhanced Vertical Wavelet Spatial Attention for Person Re-identification
  • High Capacity Reversible Data Hiding in Encrypted Images Based on Pixel Value Preprocessing and Block Classification
  • HPattack: An Effective Adversarial Attack for Human Parsing
  • Dynamic-Static Graph Convolutional Network for Video-Based Facial Expression Recognition
  • Hierarchical Supervised Contrastive Learning for Multimodal Sentiment Analysis
  • Semantic Importance-Based Deep Image Compression Using A Generative Approach
  • Drive-CLIP: Cross-modal Contrastive Safety-Critical Driving Scenario Representation Learning and Zero-shot Driving Risk Analysis
  • MRHF: Multi-stage Retrieval and Hierarchical Fusion for Textbook Question Answering
  • Multi-scale Decomposition Dehazing with Polarimetric Vision
  • CLF-Net: A Few-shot Cross-Language Font Generation Method
  • Multi-dimensional Fusion and Consistency for Semi-supervised Medical Image Segmentation
  • Audio-Visual Segmentation By Leveraging Multi-Scaled Features Learning
  • Multi-head Hashing with Orthogonal Decomposition for Cross-modal Retrieval
  • Fusion Boundary and Gradient Enhancement Network for Camouflage Object Detection
  • Find the Cliffhanger: Multi-Modal Trailerness in Soap Operas
  • SM-GAN: Single-stage and Multi-object Text Guided Image Editing
  • MAVAR-SE: Multi-scale Audio-Visual Association Representation Network for End-to-end Speaker Extraction
  • NearbyPatchCL: Leveraging Nearby Patches for Self-Supervised Patch-Level Multi-Class Classification in Whole-Slide Images
  • Improving Small License Plate Detection with Bidirectional Vehicle-plate Relation
  • A Purified Stacking Ensemble Framework for Cytology Classification
  • SEAS-Net: Segment Exchange Augmentation for Semi-Supervised Brain Tumor Segmentation
  • Super-Resolution-Assisted Feature Refined Extraction for Small Objects in Remote Sensing Images
  • Lightweight Image Captioning Model Based on Knowledge Distillation
  • Irregular License Plate Recognition via Global Information Integration
  • TNT-Net: Point Cloud Completion by Transformer in Transformer
  • Fourier Transformer for Joint Super-Resolution and Reconstruction of Mr Image
  • MVD-NeRF: Resolving Shape-Radiance Ambiguity via Mitigating View Dependency
  • DPM-Det: Diffusion Model Object Detection Based on DPM-Solver++ Guided Sampling
  • CT-MVSNet: Efficient Multi-View Stereo with Cross-scale Transformer
  • A Coarse and Fine Grained Masking Approach for Video-grounded Dialogue
  • Deep self-supervised subspace clustering with triple loss
  • LigCDnet:Remote Sensing Image Cloud Detection Based on Lightweight Framework
  • Gait Recognition Based on Temporal Gait Information Enhancing
  • Learning Complementary Instance Representation with Parallel Adaptive Graph-Based Network for Action Detection
  • CESegNet:Context-Enhancement Semantic Segmentation Network Based on Transformer
  • MoCap-Video Data Retrieval with Deep Cross-Modal Learning
  • LRATNet: Local-Relationship-Aware Transformer Network for Table Structure Recognition.
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