Identity preserving face completion with generative adversarial networks by Xudong WANG, Hongquan WEI, Chao GAO, Ruiyang HUANG

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Effects of face protector devices on acoustic parameters of voice by Valeria Caragli, Elisa Zacheo, Rosalba Nodari, Elisabetta Genovese, Antonio Mancuso, Laura Mazzoni

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An exploratory study of interpretability for face presentation attack detection by Ana F. Sequeira, Tiago Gonçalves, Wilson Silva, João Ribeiro Pinto, Jaime S. Cardoso

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Un poète face à la Grande Guerre by Vincent Chambarlhac

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Building resilience: quantity surveyors in the face of future pandemics by Matshete Modiba, Nishani Harinarain

“…Employing a qualitative research approach, this study utilises interviews to delve into the challenges faced by quantity surveyors and identifies the essential traits necessary for future resilience. …”
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Reliable detection of doppelgängers based on deep face representations by Christian Rathgeb, Daniel Fischer, Pawel Drozdowski, Christoph Busch

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Learning to Live Through Loss: For Teens Facing Loss by Carolyn S. Wilken

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Finite Element Modal Analysis of the Duplex Face Gear by Ge Shengli, Huang Guanming

Subjects: “…Duplex face gear…”
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Coverless Steganography for Face Recognition Based on Diffusion Model by Yuan Guo, Ziqi Liu

Subjects: “…Face recognition…”
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Learning to Live Through Loss: For Teens Facing Loss by Carolyn S. Wilken

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Technological management of oil companies in face of global challenges by A. E. Miller, L. M. Davidenko

“…The paper describes the current state of integrated economic structures of the oil and gas sector in the face of falling demand for oil and oil products, intensified by the difficult epidemiological situation in regional consumer markets. …”
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Joanna „en face”. O filmie Feliksa Falka by Przemysław Kaniecki

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A novel, rapid, quantitative method for face discrimination. by Kerri Walter, Peter Bex

“…Face discrimination ability has been widely studied in psychology, however a self-administered, adaptive method has not yet been developed. …”
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Globalisation with a Human Face and the Role of the United Nations by Lénárd Sándor

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Small face detection based on improved YOLOv5s by ZHOU Lifang, HU Zhen, LIU Bo

Subjects: “…Small Face Detection…”
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African agri-entrepreneurship in the face of the COVID-19 pandemic by Mariam A. T. J. Kadzamira, Adewale Ogunmodede, Solomon Duah, Dannie Romney, Victor Attuquaye Clottey, Frances Williams

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Spaces of (self)care: domesticity in the face of residential vulnerability by Emma Peltier

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Atitudes Face à Atividade Física e Desporto by Cristina Afonso, Fernando Catalão, Regina Silva, Sandra Matos

“…Recolhemos os dados através de um questionário com base na Escala de Atitudes Face à Atividade Física e ao Desporto (Dosil, 2002) ao qual juntamos duas questões para a medição da prática do exercício físico . …”
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Erysipelas of the face. What you need to know an ophthalmologist? by E.E. Grishina, Syhova Т.Е.

“…Given the well-developed lymphatic network on the face surface, we can state that the inflammation caused by streptococcus, starting with the tissues of the eyelid, spreads rapidly, within a few hours, to at least half the face, and more often to the whole face and neck area. …”
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Noise-attention-based forgery face detection method by Bolin ZHANG, Chuntao ZHU, Qilin YIN, Jingqiao FU, Lingyi LIU, Jiarui LIU, Hongmei LIU, Wei LU

“…With the advancement of artificial intelligence and deep neural networks, the ease of image generation and editing has increased significantly.Consequently, the occurrence of malicious tampering and forgery using image generation tools is on the rise, posing a significant threat to multimedia security and social stability.Therefore, it is crucial to research detection methods for forged faces.Face tampering and forgery can occur through various means and tools, leaving different levels of forgery traces during the tampering process.These traces can be partly reflected in the image noise.From the perspective of image noise, the noise components reflecting tampering traces of forged faces were extracted through a noise removal module.Furthermore, noise attention was generated to guide the backbone network in the detection of forged faces.The training of the noise removal module was supervised using SRM filters.In order to strengthen the guidance of the noise removal module, the noise obtained by the noise removal module was added back to the real face image, forming a pair of supervised training samples in a self-supervised manner.The experimental results illustrate that the noise features obtained by the noise removal module have a good degree of discrimination.Experiments were also conducted on several public datasets, and the proposed method achieves an accuracy of 98.32% on the Celeb-DF dataset, 92.61% on the DFDC dataset, and more than 94% on the FaceForensics++ dataset, thus proving the effectiveness of the proposed method.…”
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