com Abstract We present a very ef64257cient highly accurate Explicit Shape Regression approach for face alignment Unlike previous regressionbased approaches we directly learn a vectorial regression function to infer the whole fa cial shape a set of f ID: 20799 Download Pdf
com Abstract We present a very ef64257cient highly accurate Explicit Shape Regression approach for face alignment Unlike previous regressionbased approaches we directly learn a vectorial regression function to infer the whole fa cial shape a set of f
com Abstract Generic object level saliency detection is important for many vision tasks Previous approaches are mostly built on the prior that ap pearance contrast between objects and backgrounds is high Although various computational models have bee
The resulting saliency map in evitably loses information in the original image and 64257nding salient objects in it is dif64257cult We propose to detect salient objects by directly measuring the saliency of an image win dow in the original image and
ustceducn xudongcafangwenjiansun microsoftcom Abstract Making a highdimensional eg 100Kdim feature for face recognition seems not a good idea because it will bring dif64257culties on consequent training computation and stor age This prevents furthe
com Ji Fang Microsoft Research Asia and Beijing Jiaotong University Beijing China vfangjimicrosoftcom Yuanyang Zhang Microsoft Research Asia and Beihang University Beijing China Shouyuan Chen Lixin Shi Microsoft Research Asia and Tsinghua University
Casually shot photos can appear tilted and are often corrected by rotation and cropping This trivial so lution may remove desired content and hurt image integri ty Instead of doing rigid rotation we propose a warping method that creates the percepti
Casually shot photos can appear tilted and are often corrected by rotation and cropping This trivial so lution may remove desired content and hurt image integri ty Instead of doing rigid rotation we propose a warping method that creates the percepti
The essence of product quantization is to decompose the orig inal highdimensional space into the Cartesian product of a 64257nite number of lowdimensional subspaces that are then quantized separately Optimal space decomposition is im portant for the
Alignment at 3000 FPS via . Regressing Local Binary Features. Shaoqing Ren, Xudong Cao,. Yichen Wei, and Jian Sun. Visual Computing Group. Microsoft Research Asia. What is Face Alignment?. Find face shape S, or semantic facial points.
R China jiansun weiweiz xitang and hshum microsoftcom Abstract In this paper we introduce background cut a high quality and real time foreground layer extraction algorithm From a single video sequence with a moving foreground object and stationary
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com Abstract We present a very ef64257cient highly accurate Explicit Shape Regression approach for face alignment Unlike previous regressionbased approaches we directly learn a vectorial regression function to infer the whole fa cial shape a set of f
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