Workshop on Multimodal Learning

In conjunction with CVPR 2020.

Seattle, WA - June XXth 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

Submission

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.

All the papers should be submitted using CMT website.

Important Dates

  • Deadline for submission: March 1st, 2020 - 23:59 Pacific Standard Time
  • Notification of acceptance March 31st, 2020
  • Camera Ready submission deadline: TBD
  • Workshop date: TBD (Full Day)

Program

Invited Speakers

Organizers

Yan Huang

CASIA

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

CASIA

Qi Wu

University of Adelaide

Michael Ying Yang

University of Twente

Amir Zadeh

Carnegie Mellon University

Program Committee

Contacts

For additional info please contact us here