Attribute-based people search in surveillance environments
Daniel A. Vaquero, Rogerio S. Feris, et al.
WACV 2009
Generative AI has rapidly entered the public consciousness with the development of applications such as ChatGPT, Midjourney, and GitHub Copilot. Nielsen recently argued that we have entered a new era of human-computer interaction in which users need only specify what they want and not how it should be produced [1]. This paradigm of intent-based outcome specification shifts control over from people to AI, enabling new forms of co-creativity and co-creation. Although these systems are capable of holding fluent conversations and producing high-fidelity images, difficulties remain regarding their ability to produce outputs that satisfy their users' needs. Our workshop will bring together researchers and practitioners from both the HCI and AI disciplines to explore the implications of this shift in control, deepen our understanding of the human-AI co-creative process, and examine how we can design, build, use, and evaluate human-AI co-creative systems that are both effective and safe.
Daniel A. Vaquero, Rogerio S. Feris, et al.
WACV 2009
Pavel Kisilev, Daniel Freedman, et al.
ICPR 2012
Sudeep Sarkar, Kim L. Boyer
Computer Vision and Image Understanding
Joan DiMicco, David R. Millen, et al.
ACM CSCW 2008