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Face recognition in unconstrained videos with matched background similarity
Recognizing faces in unconstrained videos is a task of mounting importance. While obviously related to face recognition in still images, it has its own unique characteristics and algorithmicExpand
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Age and gender classification using convolutional neural networks
  • Gil Levi, T. Hassner
  • Computer Science
  • IEEE Conference on Computer Vision and Pattern…
  • 7 June 2015
Automatic age and gender classification has become relevant to an increasing amount of applications, particularly since the rise of social platforms and social media. Nevertheless, performance ofExpand
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Age and Gender Estimation of Unfiltered Faces
This paper concerns the estimation of facial attributes-namely, age and gender-from images of faces acquired in challenging, in the wild conditions. This problem has received far less attention thanExpand
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Descriptor Based Methods in the Wild
Recent methods for learning similarity between images have presented impressive results in the problem of pair matching (same/notsame classification) of face images. In this paper we explore how wellExpand
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Effective face frontalization in unconstrained images
“Frontalization” is the process of synthesizing frontal facing views of faces appearing in single unconstrained photos. Recent reports have suggested that this process may substantially boost theExpand
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Violent flows: Real-time detection of violent crowd behavior
Although surveillance video cameras are now widely used, their effectiveness is questionable. Here, we focus on the challenging task of monitoring crowded events for outbreaks of violence. SuchExpand
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Similarity Scores Based on Background Samples
Evaluating the similarity of images and their descriptors by employing discriminative learners has proven itself to be an effective face recognition paradigm. In this paper we show how “backgroundExpand
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Regressing Robust and Discriminative 3D Morphable Models with a Very Deep Neural Network
The 3D shapes of faces are well known to be discriminative. Yet despite this, they are rarely used for face recognition and always under controlled viewing conditions. We claim that this is a symptomExpand
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The Action Similarity Labeling Challenge
Recognizing actions in videos is rapidly becoming a topic of much research. To facilitate the development of methods for action recognition, several video collections, along with benchmark protocols,Expand
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Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics
Computer vision systems have demonstrated considerable improvement in recognizing and verifying faces in digital images. Still, recognizing faces appearing in unconstrained, natural conditionsExpand
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