QuoVadis: Interdisciplinary, Socio-Technical Workshop on the Future of Computer Vision and Pattern Recognition (QuoVadis-CVPR)

Virtual, June 19-25, 2021


Overview

This workshop builds on the legacy of 4 successful iterations of the "Workshop on The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS)" that we organized at CVPR 2017, CVPR 2018, and CVPR 2019, and ECCV 2020. All iterations of the workshop were a success by all measures. While this platform has served its purpose of making privacy and security consideration more mainstream, this also comes with the adoption of these topics in the main conference and other workshops. Hence, we aim at broadening the scope with a new focus on the socio-technical impact of computer vision and pattern recognition (CVPR), societal acceptance of this technology, legal aspects, fairness, ethics, privacy as well as accessibility w.r.t FAIR principles and open science. While we continue to invite technical contributions, an important aspect of the proposed format is to establish an interdisciplinary platform to bring technical expertise together with expertise from law, sociology, and application domains. We see this as a big opportunity to complement the rich portfolio of workshops with a methodological focus by a platform to reach across disciplines -- connecting researchers and ideas that otherwise would not meet. In particular, in these difficult times were technology is dominating our daily lives and discrimination and misuse of technology is an sometimes an unfortunate reality, we believe there is a need for a workshop that not only asks "what can be done" but also "what should be done".

The topic is timely given the backdrop of decades of research in lab settings, computer vision, pattern recognition and machine learning finally starting to “work” in the real world, and cameras are now integrated into many consumer devices (smartphones, tablets, gaming platforms, intelligent home assistants, home security systems, autonomous vehicles, wearable cameras, etc.). This has unleashed computer vision for everyday use, making vision applications mainstream and providing great utility. However, this success has also led to the above often overlooked consequences for information privacy and security. These concerns will only continue to grow as cameras are increasingly integrated into wearable and other pervasive computing devices in the next few years. The workshop will provide a forum for the community to start discussions on how to address these challenges in the future.

As a community, we need to better understand the potential threats of computer vision to people’s security and privacy, as well as the potential opportunities and applications for enhancing them; otherwise, we risk creating technology that could completely undermine public safety and security, or that could face a backlash of public opinion if privacy is not sufficiently addressed.

Topics that will be covered

  • Privacy
  • Data authenticity
  • Protection of Intellectual Property
  • Law
  • Safety & Attacks
  • Liability
  • Fairness
  • Ethics
  • Sociology
  • Economics
  • FAIR principles and Open Science

Call for Papers

Two categories of submissions

Research papers should contain original, unpublished research, and be up to 8 pages (excluding references) following the CVPR submission instructions. Research papers will be published in the CVPR proceedings upon acceptance. Extended abstracts about preliminary, ongoing or published work should be up to 2 pages (including references). Extended abstracts will be archived on this website.

Author Instructions

All submissions should be anonymized and will undergo double-blind peer review. Papers and abstracts must be formatted according to the CVPR guidelines and submitted via the CMT website Accepted submissions will be invited for oral or poster presentation at the workshop.

Important Dates

Submission deadline: March 26th AoE
Reviews to the authors: April 9th
Author notification: April 13th

Organizers

David Crandall

David Crandall
Indiana University

Mario Fritz

Mario Fritz
CISPA Helmholtz Center for Information Security

Apu Kapadia

Apu Kapadia
Indiana University

Vitaly Shmatikov

Vitaly Shmatikov
Cornell Tech

Invited speakers

TBD

Program

TBD