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MultiMedia Modeling

30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29 – February 2, 2024, Proceedings, Part II

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Stevan Rudinac

    1. University of Amsterdam, Amsterdam, The Netherlands

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  2. Alan Hanjalic

    1. Delft University of Technology, Delft, The Netherlands

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  3. Cynthia Liem

    1. Delft University of Technology, Delft, The Netherlands

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  4. Marcel Worring

    1. University of Amsterdam, Amsterdam, The Netherlands

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  5. Björn Þór Jónsson

    1. Reykjavik University, Reykjavik, Iceland

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  6. Bei Liu

    1. Microsoft Research Lab – Asia, Beijing, China

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  7. Yoko Yamakata

    1. The University of Tokyo, Tokyo, Japan

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14555)

Included in the following conference series:

Conference proceedings info: MMM 2024.

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Table of contents (37 papers)

  1. Front Matter

    Pages i-xviii
    Download chapter PDF

  2. Self-distillation Enhanced Vertical Wavelet Spatial Attention for Person Re-identification

    • Yuxuan Zhang, Huibin Tan, Long Lan, Xiao Teng, Jing Ren, Yongjun Zhang
    Pages 1-13

  3. High Capacity Reversible Data Hiding in Encrypted Images Based on Pixel Value Preprocessing and Block Classification

    • Tao Zhang, Ju Zhang, Yicheng Zou, Yu Zhang
    Pages 14-27

  4. HPattack: An Effective Adversarial Attack for Human Parsing

    • Xin Dong, Rui Wang, Sanyi Zhang, Lihua Jing
    Pages 28-41

  5. Dynamic-Static Graph Convolutional Network for Video-Based Facial Expression Recognition

    • Fahong Wang, Zhao Liu, Jie Lei, Zeyu Zou, Wentao Han, Juan Xu et al.
    Pages 42-55

  6. Hierarchical Supervised Contrastive Learning for Multimodal Sentiment Analysis

    • Kezhou Chen, Shuo Wang, Yanbin Hao
    Pages 56-69

  7. Semantic Importance-Based Deep Image Compression Using a Generative Approach

    • Xi Gu, Yuanyuan Xu, Kun Zhu
    Pages 70-81

  8. Drive-CLIP: Cross-Modal Contrastive Safety-Critical Driving Scenario Representation Learning and Zero-Shot Driving Risk Analysis

    • Wenbin Gan, Minh-Son Dao, Koji Zettsu
    Pages 82-97

  9. MRHF: Multi-stage Retrieval and Hierarchical Fusion for Textbook Question Answering

    • Peide Zhu, Zhen Wang, Manabu Okumura, Jie Yang
    Pages 98-111

  10. Multi-scale Decomposition Dehazing with Polarimetric Vision

    • Tongwei Ma, Lilian Zhang, Bo Sun, Chen Fan
    Pages 112-126

  11. CLF-Net: A Few-Shot Cross-Language Font Generation Method

    • Qianqian Jin, Fazhi He, Wei Tang
    Pages 127-140

  12. Multi-dimensional Fusion and Consistency for Semi-supervised Medical Image Segmentation

    • Yixing Lu, Zhaoxin Fan, Min Xu
    Pages 141-155

  13. Audio-Visual Segmentation by Leveraging Multi-scaled Features Learning

    • Sze An Peter Tan, Guangyu Gao, Jia Zhao
    Pages 156-169

  14. Multi-head Hashing with Orthogonal Decomposition for Cross-modal Retrieval

    • Wei Liu, Jun Li, Zhijian Wu, Jianhua Xu, Bo Yang
    Pages 170-183

  15. Fusion Boundary and Gradient Enhancement Network for Camouflage Object Detection

    • Guangrui Liu, Wei Wu
    Pages 184-198

  16. Find the Cliffhanger: Multi-modal Trailerness in Soap Operas

    • Carlo Bretti, Pascal Mettes, Hendrik Vincent Koops, Daan Odijk, Nanne van Noord
    Pages 199-212

  17. SM-GAN: Single-Stage and Multi-object Text Guided Image Editing

    • Ruichen Li, Lei Wu, Pei Dong, Minggang He
    Pages 213-226

  18. MAVAR-SE: Multi-scale Audio-Visual Association Representation Network for End-to-End Speaker Extraction

    • Shilong Yu, Chenhui Yang
    Pages 227-238

  19. NearbyPatchCL: Leveraging Nearby Patches for Self-supervised Patch-Level Multi-class Classification in Whole-Slide Images

    • Gia-Bao Le, Van-Tien Nguyen, Trung-Nghia Le, Minh-Triet Tran
    Pages 239-252

  20. Improving Small License Plate Detection with Bidirectional Vehicle-Plate Relation

    • Songkang Dai, Song-Lu Chen, Qi Liu, Chao Zhu, Yan Liu, Feng Chen et al.
    Pages 253-266
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Other volumes

  1. MultiMedia Modeling

  2. MultiMedia Modeling

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Keywords

About this book

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.

Editors and Affiliations

  • University of Amsterdam, Amsterdam, The Netherlands

    Stevan Rudinac, Marcel Worring

  • Delft University of Technology, Delft, The Netherlands

    Alan Hanjalic, Cynthia Liem

  • Reykjavik University, Reykjavik, Iceland

    Björn Þór Jónsson

  • Microsoft Research Lab – Asia, Beijing, China

    Bei Liu

  • The University of Tokyo, Tokyo, Japan

    Yoko Yamakata

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