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Face (sociological concept)

About: Face (sociological concept) is a research topic. Over the lifetime, 5171 publications have been published within this topic receiving 96109 citations. The topic is also known as: Lose face & Face (sociological concept).


Papers
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Book
01 Jan 1998
TL;DR: Knoepflmacher as discussed by the authors explores the relationship between adults and children, adults and their own childhood selves, and the lives of beloved Victorian authors and their "children's tales."
Abstract: Behind the innocent face of Victorian fairy tales such as "Through the Looking Glass or Mopsa the Fairy" lurks the specter of an intense gender debate about the very nature of childhood. Offering brilliant rereadings of classics from the "Golden Age of Children's Literature" as well as literature commonly considered "grown-up," U. C. Knoepflmacher illuminates this debate, probing deeply into the relations between adults and children, adults and their own childhood selves, and the lives of beloved Victorian authors and their "children's tales." "Ventures into Childland" will delight and instruct all readers of children's classics, and will be essential reading for students of Victorian culture and gender studies. ""Ventures into Childland" is acute, well written and stimulating. It also has a political purpose, to insist on the importance of protecting and nurturing children, imaginatively and physically."-Jan Marsh, "Times Literary Supplement" "A provocative and interesting book about Victorian culture."-"Library Journal"

50 citations

Journal ArticleDOI
03 Jan 2022-EcoMat
TL;DR: In this paper , an eco-friendly approach to repurpose face mask waste for clean water production via solar thermal evaporation is proposed by taking advantage of its interwind structure, face mask holds the promise to be an ideal candidate material for constructing photothermal evaporator.
Abstract: Plastic waste caused by the extensive usage of face masks during COVID-19 pandemic has become a severe threat to natural environment and ecosystem. Herein, an eco-friendly approach to repurpose face mask waste for clean water production via solar thermal evaporation is proposed. By taking advantage of its interwind structure, face mask holds the promise to be an ideal candidate material for constructing photothermal evaporator. In-situ surface modifications are performed successively with polyvinyl alcohol and polypyrrole to improve its wettability and solar absorption (97%). The obtained face mask-based evaporator achieves significantly enhanced solar efficiency (91.5%) and long-term salt-rejection stability. The harvested clean water befits plant growing to enable farming on sea surface. A floating photothermal evaporation prototype is then developed to demonstrate autonomous solar ocean farming, with plants successfully cultivated over time. As such, the proposed strategy provides a promising solution towards ecological sustainability by tapping multiple benefits.

50 citations

Book
13 Aug 2010
TL;DR: Face Processing: psychological, neuropsychological and applied perspectives as mentioned in this paper provides insights on issues of relevance to students from a wide range of disciplines, such as computer science students, medical students with an interest in neurology, and forensic science, too.
Abstract: How do we recognise familiar faces? What factors determine facial attractiveness? How does face processing develop in infants and children? Why do face reconstruction systems, such as Photofit and E-Fit, produce such poor likenesses of the original face? Face Processing: psychological, neuropsychological and applied perspectives is the first major textbook for 20 years that seeks to answer questions like these. Drawing on the most recent research in the field, and organised around the three main research perspectives - psychological, neuropsychological, and applied - it provides insights on issues of relevance to students from a wide range of disciplines. Face recognition and expression perception have generated a large amount of research over the last decade, and with high profile media coverage of related issues, such as the misidentification of Brazilian student, Jean Charles de Menezes, face processing is a hot topic within the study of psychology. Face Processing captures the excitement in the field, and with reference to a wealth of studies and real-world phenomena, it reveals how our understanding of face processing has developed over the years. The first section of the book, on the psychological perspectives of face processing, considers how we are able to recognise familiar faces; how we can extract information such as emotion, sex and age from a face; and how face processing abilities develop. The second section covers the neuropsychological perspectives, and examines the disorders of face recognition that arise following brain injury, and asks whether faces are a 'special' class of visual stimuli. Finally, a section on the applied perspectives of face processing describes face reconstruction systems, such as Identikit and Photofit, and their limitations; it discusses methods of constructing facial composites, and the phenomenon of 'verbal overshadowing', whereby verbal descriptions of visual stimuli subsequently leads to a temporary impairment in people's ability to recognise those stimuli. Assuming no prior knowledge of the subject, this book is the perfect resource for students studying face processing as part of a psychology degree, and the breadth of its coverage makes it of relevance to computer science students, medical students with an interest in neurology, and students of forensic science, too.

50 citations

Journal ArticleDOI
TL;DR: The authors reviewed the research literature on forecasting retail demand, from the strategic to the operational, as sales are aggregated over products to stores and to the company overall, and concluded that although causal models outperform simple benchmarks, adequate evidence on machine learning methods has not yet accumulated.

50 citations

Journal ArticleDOI
TL;DR: Zhang et al. as mentioned in this paper presented a face recognition method that is robust to occlusions based on a single end-to-end deep neural network, which learns to discover the corrupted features from the deep convolutional neural networks, and clean them by the dynamically learned masks.
Abstract: With the recent advancement of deep convolutional neural networks, significant progress has been made in general face recognition. However, the state-of-the-art general face recognition models do not generalize well to occluded face images, which are exactly the common cases in real-world scenarios. The potential reasons are the absences of large-scale occluded face data for training and specific designs for tackling corrupted features brought by occlusions. This paper presents a novel face recognition method that is robust to occlusions based on a single end-to-end deep neural network. Our approach, named FROM (Face Recognition with Occlusion Masks), learns to discover the corrupted features from the deep convolutional neural networks, and clean them by the dynamically learned masks. In addition, we construct massive occluded face images to train FROM effectively and efficiently. FROM is simple yet powerful compared to the existing methods that either rely on external detectors to discover the occlusions or employ shallow models which are less discriminative. Experimental results on the LFW, Megaface challenge 1, RMF2, AR dataset and other simulated occluded/masked datasets confirm that FROM dramatically improves the accuracy under occlusions, and generalizes well on general face recognition.

50 citations


Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20248
20235,479
202212,139
2021284
2020199
2019207