TPAMI Special Issue


Large-Scale Multimodal Learning:
Universality, Robustness, Efficiency, and Beyond

Guest Editors


Thanks to the development of the internet and a wide variety of intelligent devices in recent years, increasing amounts of multimodal data are being transmitted over the internet, thus an increasing number of multimodal application scenarios are emerging. In modern life, we can see various multimodal applications, including commercial services (e.g., e-commerce/commodity retrieval, vision-and-language navigation), communication (e.g., lip reading, sign language translation), human-computer interaction, Healthcare AI, surveillance AI, etc. Specifically, in the era of Deep Learning, deep neural networks greatly promote the development of multimodal learning.

The goal of this special issue is to bring together perspectives from multiple disciplines (e.g., Computer Vision, Natural Language Processing, Machine Learning, Deep Learning, Healthcare AI, Medical Image ML, Bioinformatics, Cognitive Science, Sociology) to highlight major open questions and to identify research opportunities to address outstanding challenges in the domain of multimodal learning in the Deep Learning and Big Data Era.

Call for Papers

(CFP poster can be downloaded via this link)

Topics of Interests

Topics of interest include, but are not limited to:

  • universal multimodal learning
  • robust multimodal learning
  • efficient multimodal learning
  • large scale multimodal pre-training
  • self-supervised/un-supervised/weakly-supervised multimodal learning
  • multimodal representation learning
  • multimodal transfer learning
  • multimodal metric learning
  • multimodal generation
  • multimodal dataset and evaluation metric
  • multimodal applications

Important Dates

We received a large number of submissions. So, the timeline had to be significantly delayed due to the heavy workload.

Paper submission due . Mar. 1, 2023 Apr. 1, 2023

First notification . Jun. 1, 2023

Revision due . Aug. 1, 2023

Final decision . Sep. 1, 2023

Publication date (tentative) . Oct. 1, 2023

Submission and Review

The review process will follow the standard procedures of TPAMI. This special issue will request the reproducibility of experimental results. We will ask the authors to release their code upon acceptance and to provide the necessary experimental details.

Before submitting the manuscript, please read the Instructions for Authors for TPAMI (

The manuscripts should be submitted to:

The webpage template is from here.