Artificial Intelligence in Vision Modelling

Dear Colleagues,

In the era of deep and machine learning, multi-task and multi-modal learning have been explored separately. However, in most practical scenarios, we often require solving several tasks while the data consists of multiple modalities, e.g., image and text, image and temporal information, and many more. In this Special Issue, we will focus on theory and applications involving multi-modalities and multi-task applications. More specifically, we will encourage authors to submit manuscripts containing novel techniques for optimization in the setting of multi-task learning while the data sources span across different modalities. We will focus on articles demonstrating novel techniques to structure latent space in a multi-modal/multi-task setting. Often, when dealing with multi-modal data, we need to place additional geometric constraints on the latent space. Hence, articles dealing with novel geometric techniques to achieve the above are highly encouraged.

Dr. Rudrasis Chakraborty
Dr. Indrasis Chakraborty
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• multi-task learning
• multi-modalities
• latent representation
• geometric representation