Call for Papers

Important Dates:

• Workshop Paper submission deadline: February 8th March 6th 2023, 11:59 pm Pacific Time.

• Notification to authors: 1st April 2023. 3rd April 2023.

• Camera ready deadline: 8th April 2023. 10th April 2023.

CMT3 Submission: https://cmt3.research.microsoft.com/L3DIVU2023

Topics:

We encourage submissions that are under one of the topics of interest, but also we welcome other interesting and relevant research for learning with limited labelled data.

• Few-Shot classification, detection and segmentation in still images and video, including objects, actions, scenes and object tracking.

• Zero-shot learning in video understanding.

• Video and language modelling.

• Self supervised Learning in video related tasks.

• Weakly/Semi supervised learning in video understanding.

• Transfer Learning.

• Open-set learning.

• New benchmarks and metrics.

• Real-world applications discussing the societal impact of few-shot learning.

Accepted papers will be presented at the poster session, some as orals and one paper will be awarded as the best paper.

Submission Guidelines:

• We accept submissions of max 8 pages (excluding references). We encourage authors to submit 4 page work as well.

• We accept dual submissions to CVPR 2023 and L3D-IVU 2023.

• Submitted manuscript should follow the CVPR 2023 paper template.

• Submissions will be rejected without review if they:

  1. Contain more than 8 pages (excluding references).

  2. Violate the double-blind policy.

  3. Violate the dual-submission policy for papers with more than 4 pages excluding references.

• The accepted papers will be in the main conference workshops proceedings if the authors agree (this option is valid only for full-length papers not published at CVPR 2023).

• Short papers will be linked at the workshop webpage but will not be in the main conference proceedings.

• Papers will be peer reviewed under double-blind policy, and must be submitted online through the CMT submission system.