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

Call for Papers

First Interdisciplinary, Socio-Technical Workshop on the Future of Computer Vision and Pattern Recognition (QUOVADIS-CVPR) - in conjunction with the Conference on Computer Vision and Pattern Recognition CVPR'21.

June 25th -- virtual event
General information: https://quovadiscvpr.cispa.de
Submission server: https://cmt3.research.microsoft.com/QuoVadisCVPR2021/

Important Dates

Submission deadline for extended abstracts: May 28th AoE

See submission instructions below.


This workshop builds on the legacy of four successful iterations of the "Workshop on The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security" that we organized at CVPR 2017, CVPR 2018, and CVPR 2019, and ECCV 2020. Since then, privacy and security topics have seen increased attention in the main venue. Hence, we aim at broadening the scope of this workshop 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, and privacy, as well as accessibility in the context of '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 workshop as an opportunity to complement the current portfolio of workshops with a platform to reach across disciplines -- connecting researchers and ideas that otherwise would not meet. In particular, as technology dominates our daily lives, discrimination and misuse of technology can have a disparate impact on marginalized populations we believe there is a need for a workshop that not only asks "what can be done?" but also "what should be done?". We hope this workshop can contribute to a discussion on responsible research and disclosure of technology that is informed and considerate about utility, potential harm and dual-use.

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.). These advances have unleashed computer vision for everyday use, making vision applications mainstream. However, this success has also led to several 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. This workshop will provide a forum for the community to start discussions on how to address these challenges in the future.

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


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

Submission Instructions

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.

Invited speakers