Important Dates

Description Date
Long Paper/Abstract(Short) Submission Deadline 25 June 2020 25 July 2020 (23:59 UTC-0)
Notification to Authors 10 July 2020 10 Aug 2020 (23:59 UTC-0)
Camera-Ready Deadline 17 July 2020 14 Sep. 2020 (23:59 UTC-0)
Workshop Presentation 28 August 2020 (Whole Day)

Call for papers

We embrace the most advanced deep learning systems, meanwhile being open to classical physically grounded models and feature engineering, as well as any well-motivated combination of the two streams. We will solicit papers from but not limited to the following topics:

  • Robust recognition and detection from images with low-resolution, high noise, or other real-world unconstrained environment conditions and artificial degradation;
  • Robust recognition and detection from videos with motion blur, low-resolution, high noise, or other real-world unconstrained environment conditions and artificial degradation;
  • Low-quality (LQ) image and video enhancement including denoising, de-blurring, super-resolution etc., especially for recognition purpose;
  • Human parsing, activity analysis, and action recognition at long distance; Crowd counting;
  • Surveys of algorithms and applications with LQ inputs;
  • Datasets for low-resolution vision and/or analyses of existing methods;
  • Low-quality data pre-processing methods for inter-disciplinary research like Psychology, cognitive science, and human computer interaction;
  • Legal, privacy and ethics discussions and methods in recognition research;

Submitted paper will go through a double-blind peer-reviewed process, and the accepted papers will appear in the ECCV Workshop Proceedings. All submissions should follow the requirement of ECCV main conference in terms of format and length.

The page requirements of the full paper is [4 pages including reference] to [14 pages plus reference], to be publised in the official ECCVW proceedings.

Call for abstracts

We solicit “positioning” writeups, in the form of short abstracts (4-page ECCV short paper). They shall address important issues that may generate a lasting impact for next 5-year research in the field of recognition in low-quality visual data. Examples may include but are not limited to,

  • Proposing novel technical solutions: preliminary works and “half-baked” results are welcome;
  • Identifying grand challenges that are traditionally overlooked or under-explored;
  • Discussing rising applications where recognition from low-quality visual data might have been a critical bottleneck;
  • Raising new research questions that may be motivated by emerging applications;
  • New datasets, new benchmark efforts, and/or new evaluation strategies;
  • Integration of low-quality visual recognition into other research topics;

Abstracts will not appear in ECCV proceedings, and it follows a single-blind review process.

Abstract has a 4-page limits (including reference)

All the accepted abstracts will appear on the website and be discussed offline during the workshop. We will hold related discussion sessions regarding the acceptance amounts.