Call for papers

Thanks to advances in deep learning, many computer vision problems nowadays are addressed using learning-based approaches. However, the performance of learning methods is adversely affected by imbalance problems at various levels, including the input, intermediate or mid-level stages of the processing or the objectives to be optimized in a multi-task setting. Currently, researchers tend to address these challenges in its particular context with problem-specic solutions and with limited awareness of the solutions proposed for similar challenges in other computer vision problems.

We invite contributions for (i) the dissemination of approaches developed in individual problems, as well as (ii) discussing commonalities between these approaches for developing better and more general solutions for addressing imbalance problems in computer vision.

Dates

All deadlines are with respect to the Pacific Timezone (PT).

Paper submission: 12 July 2020. 7 July 2020.

Notification: 10 August 2020. 28 July 2020.

Camera ready: 6 August 2020. 7 August 2020.

Video uploads: 21 August 2020.

Workshop: 28 August 2020.

Submission Information

• Paper template and length: the same as ECCV2020 format and guidelines (https://eccv2020.eu/author-instructions/).

• The review process will be confidential and double-blind. We follow ECCV2020's Publication Policies: https://eccv2020.eu/author-instructions/.

• Submission link: https://openreview.net/group?id=thecvf.com/ECCV/2020/Workshop/IPCV

• Accepted papers will be published in ECCV2020 Workshop Proceedings.

Presentation Information

All accepted papers will upload a prerecorded video, and there will be two interactive sessions for Q&A.