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MMDLCA 2020 : International Workshop on Multi-Modal Deep Learning: Challenges and Applications

Milan, Italy
Event Date: Jan 11, 2021 - Jan 11, 2021
Submission Deadline: Oct 17, 2020
Notification of Acceptance: Nov 10, 2020
Camera Ready Version Due : Nov 15, 2020

About

This workshop calls for scientific works that illustrate the most recent progress on multi-modal deep learning. In particular, multi-modal data capture, integration, modelling, understanding and analysis, and how to leverage them to derive accurate and robust AI models in many applications. It is a timely topic following the rapid development of deep learning technologies and their remarkable applications to many fields. It will serve as a forum to bring together active researchers and practitioners to share their recent advances in this exciting area. In particular, we solicit original and high-quality contributions in: (1) presenting state-of-the-art theories and novel application scenarios related to multi-modal deep learning; (2) surveying the recent progress in this area; and (3) developing benchmark datasets and evaluations. We welcome contributions coming from various communities (i.e., visual computing, machine learning, multimedia analysis, distributed and cloud computing, etc.) to submit their novel results.

Call For Paper

The list of topics includes, but not limited to:

  • Multi-modal intelligent data acquisition and management
  • Multi-modal benchmark datasets and evaluations
  • Multi-modal representation learning and applications
  • Multi-modal data driven visual analysis and understanding
  • Multi-modal object detection, classification, recognition and segmentation
  • Multi-modal information tracking, retrieval and identification
  • Multi-modal social event analysis
  • Multi-modal medical diagnosis
  • Multi-modal machine learning from incomplete data
  • Deep neural network architectures for multi-modal data processing
  • Multi-modal big data analytics
  • Emerging multi-modal deep learning applications

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