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- research-articleDecember 2024
Hairmony: Fairness-aware hairstyle classification
- Givi Meishvili,
- James Clemoes,
- Charlie Hewitt,
- Zafiirah Hosenie,
- Xian Xiao,
- Martin de La Gorce,
- Tibor Takacs,
- Tadas Baltrusaitis,
- Antonio Criminisi,
- Chyna McRae,
- Nina Jablonski,
- Marta Wilczkowiak
SA '24: SIGGRAPH Asia 2024 Conference PapersArticle No.: 116, Pages 1–11https://doi.org/10.1145/3680528.3687582We present a method for prediction of a person’s hairstyle from a single image. Despite growing use cases in user digitization and enrollment for virtual experiences, available methods are limited, particularly in the range of hairstyles they can capture. ...
- research-articleNovember 2024
Eyelid Fold Consistency in Facial Modeling
SA '24: SIGGRAPH Asia 2024 Technical CommunicationsArticle No.: 8, Pages 1–4https://doi.org/10.1145/3681758.3697987Eyelid shape is integral to identity and likeness in human facial modeling. Human eyelids are diverse in appearance with varied skin fold and epicanthal fold morphology between individuals. Existing parametric face models express eyelid shape variation to ...
- research-articleNovember 2024
Look Ma, no markers: holistic performance capture without the hassle
- Charlie Hewitt,
- Fatemeh Saleh,
- Sadegh Aliakbarian,
- Lohit Petikam,
- Shideh Rezaeifar,
- Louis Florentin,
- Zafiirah Hosenie,
- Thomas J. Cashman,
- Julien Valentin,
- Darren Cosker,
- Tadas Baltrusaitis
ACM Transactions on Graphics (TOG), Volume 43, Issue 6Article No.: 235, Pages 1–12https://doi.org/10.1145/3687772We tackle the problem of highly-accurate, holistic performance capture for the face, body and hands simultaneously. Motion-capture technologies used in film and game production typically focus only on face, body or hand capture independently, involve ...
- ArticleOctober 2022
- research-articleMarch 2019
Assessing public perception of self-driving cars: the autonomous vehicle acceptance model
IUI '19: Proceedings of the 24th International Conference on Intelligent User InterfacesPages 518–527https://doi.org/10.1145/3301275.3302268We introduce the Autonomous Vehicle Acceptance Model (AVAM), a model of user acceptance for autonomous vehicles, adapted from existing models of user acceptance for generic technologies. A 26-item questionnaire is developed in accordance with the model ...