Workshop on Multimodal Learning

In conjunction with CVPR 2020.

Seattle, WA - June 19th 2020 (Full Day)

Workshop on Multimodal Learning

The exploitation of the power of big data in the last few years led to a big step forward in many applications of Computer Vision. However, most of the tasks tackled so far are involving mainly visual modality due to the unbalanced number of labelled samples available among modalities (e.g., there are many huge labelled datasets for images while not as many for audio or IMU based classification), resulting in a huge gap in performance when algorithms are trained separately.

This workshop aims to bring together communities of machine learning and multimodal data fusion. We expect contributions involving video, audio, depth, IR, IMU, laser, text, drawings, synthetic, etc. Position papers with feasibility studies and cross-modality issues with highly applicative flair are also encouraged therefore we expect a positive response from academic and industrial communities.

This is an open call for papers, soliciting original contributions considering recent findings in theory, methodologies, and applications in the field of multimodal machine learning. Potential topics include, but are not limited to:

  • Multimodal learning
  • Cross-modal learning
  • Self-supervised learning for multimodal data
  • Multimodal data generation and sensors
  • Unsupervised learning on multimodal data
  • Cross-modal adaptation
  • Multimodal data fusion
  • Multimodal transfer learning
  • Multimodal applications (e.g. drone vision, autonomous driving, industrial inspection, etc.)
  • Machine Learning studies of unusual modalities


Papers will be limited to 8 pages according to the CVPR format (c.f. main conference authors guidelines). All papers will be reviewed by at least two reviewers with double blind policy. Papers will be selected based on relevance, significance and novelty of results, technical merit, and clarity of presentation. Papers will be published in CVPR 2020 proceedings if desired (Track 1). Authors will be asked to flag this option in the submission site. Please note that deadlines for Track 1 (with IEEE/CVF proceedings) and Track 2 (no proceedings) are different.

All the papers should be submitted using CMT website for Track 1.
For Track 2, please send your submission at Include author names and affiliations in the email.

Important Dates

    Track 1 (with IEEE/CVF proceedings)

    • Deadline for submission: March 10th, 2020 - 23:59 Pacific Standard Time
    • Notification of acceptance: April 10th, 2020
    • Camera Ready submission deadline: April 17th, 2020

    Track 2 (no proceedings)

    Please send your submission at

    • Deadline for submission: April 20th, 2020 - 23:59 Pacific Standard Time
    • Notification of acceptance: May 10th, 2020
    • Camera Ready submission deadline: May 31st, 2020

    Workshop date: June 19th (Full Day)


Invited Speakers


Yan Huang


Li Liu

NUDT & University of Oulu
Louis-Philippe Morency
Carnegie Mellon University

Pietro Morerio

Istituto Italiano di Tecnologia

Vittorio Murino

Università degli Studi di Verona & Huawei

Matti Pietikäinen

University of Oulu

Bodo Rosenhahn

Leibniz-Universität Hannover

Paolo Rota

Università di Trento

Liang Wang


Qi Wu

University of Adelaide

Michael Ying Yang

University of Twente

Amir Zadeh

Carnegie Mellon University

Program Committee


For additional info please contact us here