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Joint Local Regressors Learning for Face Alignment
Neurocomputing, 2016Cascaded regression approaches have been widely applied to computer vision tasks recently, and achieve state-of-the-art performance. In this paper, we consider the problem of face alignment model fitting using cascaded regression and propose a new face alignment approach named Joint Local Regressors Learning (JLRL).
Yongxin Ge +4 more
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Joint spatial-temporal alignment of networked cameras
2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), 2009In this paper, we propose a method for aligning networked cameras spatially and temporally. Synchronizing video sequences and recovering spatial information among cameras are crucial steps for applications such as robust tracking and video mosaic.
Chia-Yeh Lee +3 more
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A Joint Phrasal and Dependency Model for Paraphrase Alignment
2012Monolingual alignment is frequently required for natural language tasks that involve similar or comparable sentences. We present a new model for monolingual alignment in which the score of an alignment decomposes over both the set of aligned phrases as well as a set of aligned dependency arcs.
Kapil Thadani +2 more
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Joint Face Alignment and 3D Face Reconstruction
2016We present an approach to simultaneously solve the two problems of face alignment and 3D face reconstruction from an input 2D face image of arbitrary poses and expressions. The proposed method iteratively and alternately applies two sets of cascaded regressors, one for updating 2D landmarks and the other for updating reconstructed pose-expression ...
Feng Liu 0013 +3 more
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An iterative algorithm for joint signal and interference alignment
2010 IEEE International Symposium on Information Theory, 2010We consider the problem of signal design for transmission over an interference channel, along the lines of the recently proposed strategy of Interference Alignment. In the framework of interference alignment, each receiver maintains an interference subspace.
Raj Kumar, K., Xue, Feng
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Joint Face Detection and Initialization for Face Alignment
2016This paper presents a joint face detection and initialization method for cascaded face alignment. Unlike existing methods which consider face detection and initialization as separate steps, we concurrently obtain a bounding box and initial facial landmarks (i.e. shape) in one step, yielding better accuracy and efficiency.
Zhiwei Wang 0002, Xin Yang 0008
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Visualizing Alignment in Joint Attention
2022Jackson, Daniel, Galati, Alexia
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Margin-Based Adversarial Joint Alignment Domain Adaptation
IEEE Transactions on Circuits and Systems for Video Technology, 2022Hantao Yao +2 more
exaly
TENALIGN: Joint Tensor Alignment and Coupled Factorization
2022 IEEE International Conference on Data Mining (ICDM), 2022Yunshu Wu +3 more
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