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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. 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. Owing to the challenging and less explored nature of the problem, we would like to invite researchers to participate in the International Workshop on Disguised Face in the Wild (DFW) at ICCV2019 (http://iab-rubric.org/DFW/2019Program.html). Researchers are also encouraged to participate in the DFW2019 Competition (http://iab-rubric.org/DFW/2019Competition.html) held in conjunction with the workshop, which is in continuation to the DFW2018 competition held at CVPR2018.
Details Regarding Workshop:
The scope of the workshop is:
- Face recognition with disguise and spoofing variations
- Methods for impersonating identities using disguise
- Methods for detecting disguise and spoofing variations
- Face recognition with makeup variations
- Recognizing partially occluded faces
- Matching faces across plastic surgery
Workshop paper submission deadline: 11:59 P.M. P.S.T, August 12th, 2019
Camera ready deadline: August 30th, 2019
Organizers:
General Chairs: Rama Chellappa, UMD and Nalini Ratha, IBM
Program Chairs: Mayank Vatsa, Richa Singh, IIIT Delhi
Data and Competition Evaluation Chair: Maneet Singh, IIIT Delhi
In case of any queries, please contact [email protected].
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