DFW 2018 - 1st International Workshop and Competition on Disguised Faces in the Wild

1st International Workshop and Competition on Disguised Faces in the Wild at CVPR 2018
http://iab-rubric.org/dfw.html
With recent advancements in deep learning, the capabilities of automatic face recognition has been significantly increased. However, face recognition in unconstrained environment with non-cooperative users is still a research challenge, pertinent for users such as law enforcement agencies. While several covariates such as pose, expression, illumination, aging, and low resolution have received significant attention, “disguise” is still considered an arduous covariate of face recognition. As shown in the figure below, disguise as a covariate involves both intentional and unintentional changes on a face through which one can either obfuscate his/her identity or impersonate someone else’s identity. The problem can be further exacerbated due to unconstrained environment or “in the wild” scenarios. However, disguise in the wild has not been studied in a comprehensive way, primarily due to unavailability of such as database. As part of this workshop, we will conduct a competition in which participants will be asked to show their results on the proposed disguised faces in the wild (DFW) database. Top performing algorithms will be asked to submit their papers in the workshop and selected papers will be invited for presentation. We will also allow other paper submissions, even if the authors have not participated in the competition.
We invite researchers to participate in the “Disguised faces in the wild” competition and submit their research papers in the workshop. The scope of the workshop is:
- Face recognition with disguise variations
- Methods for impersonating identities using disguise
- Methods for detecting disguise variations
- Face recognition with makeup variations
- Recognizing partially occluded faces
ORGANIZERS
General Chairs: Rama Chellappa
Program Chairs: Nalini Ratha and Mayank Vatsa
Data and Competition Evaluation Chair: Richa Singh