Connectionists: [CFP] ECCV 2020 - Workshop on Imbalance Problems in Computer Vision (IPCV)

[Baris Can Cam]

IMPORTANT UPDATE: Due to COVID-19 outbreak IPCV2020 is going 100% ONLINE

As an online workshop, we are going to follow the online format as the main
conference:

   - All papers, oral or poster, will have a *pre-recorded video
   presentation*, made available together with the paper to the attendees
   about a week before the workshop day.
   - Every workshop will have some *scheduled individual interaction
time* during
   the workshop day.

*ECCV Workshop on Imbalance Problems in Computer Vision (IPCV)*

28 August 2020 https://sites.google.com/view/ipcv2020/

*DATES: *Paper submission: 7 July 2020

Notification: 28 July 2020

Camera ready: 7 August 2020

Workshop: 28 August 2020

*CALL FOR PAPERS:*

Performance of learning-based 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 their
particular context with problem-specific solutions and with limited
awareness of the solutions proposed for similar challenges in other
computer vision problems.

Imbalance problems can arise in  almost all computer vision problems and
therefore, the workshop is highly relevant and interesting for a broad
community. A recent, comprehensive review paper on imbalance problems in
object detection (IEEE TPAMI, 2020; preprint:
https://arxiv.org/abs/1909.00169)  cites over 200 papers which were written
by 655 unique authors. We interpret these numbers (which are specific to
just one computer vision task, namely, object detection) as strong
indicators of interest in imbalance 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.

*INVITED SPEAKERS:*
Bernt Schiele, Max Planck Institute, Saarland University
Ming-Hsuan Yang, Google, University of California Merced
Vittorio Ferrari, Google, University of Edinburgh

*PAPER SUBMISSON:*

Paper template and length: Please follow ECCV2020 format and guidelines.

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

*PROCEEDINGS:*

Accepted papers will be included in ECCV2020 Workshop Proceedings.

*PRESENTATION INFORMATION:*

All accepted papers will have a spotlight presentation followed by a poster
session.

*ORGANIZERS:*

Sinan Kalkan, University of Cambridge; Middle East Technical University

Emre Akbas, Middle East Technical University

Nuno Vasconcelos, University of  California San Diego

Baris Can Cam, Middle East Technical University

Kemal Oksuz, Middle East Technical University


Baris.
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