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MultiMedia Modeling

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

  • Conference proceedings
  • © 2024

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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 14554)

Included in the following conference series:

Conference proceedings info: MMM 2024.

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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.

Keywords

Table of contents (37 papers)

  1. Front Matter

    Pages i-xviii
    Download chapter PDF

  2. Where Are Biases? Adversarial Debiasing with Spurious Feature Visualization

    • Chi-Yu Chen, Pu Ching, Pei-Hsin Huang, Min-Chun Hu
    Pages 1-14

  3. Cross-Modal Hash Retrieval with Category Semantics

    • Mengying Xu, Hanjiang Lai, Jian Yin
    Pages 15-27

  4. Spatiotemporal Representation Enhanced ViT for Video Recognition

    • Min Li, Fengfa Li, Bo Meng, Ruwen Bai, Junxing Ren, Zihao Huang et al.
    Pages 28-40

  5. SCFormer: A Vision Transformer with Split Channel in Sitting Posture Recognition

    • Kedi Qiu, Shoudong Shi, Tianxiang Zhao, Yongfang Ye
    Pages 41-52

  6. Dive into Coarse-to-Fine Strategy in Single Image Deblurring

    • Zebin Li, Jianping Luo
    Pages 53-65

  7. TICondition: Expanding Control Capabilities for Text-to-Image Generation with Multi-Modal Conditions

    • Yuhang Yang, Xiao Yan, Sanyuan Zhang
    Pages 66-79

  8. Enhancing Generative Generalized Zero Shot Learning via Multi-Space Constraints and Adaptive Integration

    • Zhe Kong, Neng Gao, Yifei Zhang, Yuhan Liu
    Pages 80-93

  9. Joint Image Data Hiding and Rate-Distortion Optimization in Neural Compressed Latent Representations

    • Chen-Hsiu Huang, Ja-Ling Wu
    Pages 94-108

  10. GSUNet: A Brain Tumor Segmentation Method Based on 3D Ghost Shuffle U-Net

    • JiXuan Hong, JingJing Xie, XueQin He, ChenHui Yang
    Pages 109-120

  11. ACT: Action-assoCiated and Target-Related Representations for Object Navigation

    • Youkai Wang, Yue Hu, Wansen Wu, Ting Liu, Yong Peng
    Pages 121-133

  12. Foreground Feature Enhancement and Peak & Background Suppression for Fine-Grained Visual Classification

    • Die Yu, Zhaoyan Fang, Yong Jiang
    Pages 134-146

  13. YOLOv5-SRR: Enhancing YOLOv5 for Effective Underwater Target Detection

    • Jinyu Shi, Wenjie Wu
    Pages 147-158

  14. Image Clustering and Generation with HDGMVAE-I

    • Yongqi Liu, Jiashuang Zhou, Xiaoqin Du
    Pages 159-171

  15. “Car or Bus?" CLearSeg: CLIP-Enhanced Discrimination Among Resembling Classes for Few-Shot Semantic Segmentation

    • Anqi Zhang, Guangyu Gao, Zhuocheng Lv, Yukun An
    Pages 172-186

  16. PANDA: Prompt-Based Context- and Indoor-Aware Pretraining for Vision and Language Navigation

    • Ting Liu, Yue Hu, Wansen Wu, Youkai Wang, Kai Xu, Quanjun Yin
    Pages 187-200

  17. Cross-Modal Semantic Alignment Learning for Text-Based Person Search

    • Wenjun Gan, Jiawei Liu, Yangchun Zhu, Yong Wu, Guozhi Zhao, Zheng-Jun Zha
    Pages 201-215

  18. Point Cloud Classification via Learnable Memory Bank

    • Lisa Liu, William Y. Wang, Pingping Cai
    Pages 216-229

  19. Adversarially Regularized Low-Light Image Enhancement

    • William Y. Wang, Lisa Liu, Pingping Cai
    Pages 230-243

  20. Advancing Incremental Few-Shot Semantic Segmentation via Semantic-Guided Relation Alignment and Adaptation

    • Yuan Zhou, Xin Chen, Yanrong Guo, Jun Yu, Richang Hong, Qi Tian
    Pages 244-257
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Other volumes

  1. MultiMedia Modeling

  2. MultiMedia Modeling

  3. MultiMedia Modeling

  4. MultiMedia Modeling

  5. MultiMedia Modeling

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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