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Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registration
TLDR
This paper presents the first globally optimal algorithm, named Go-ICP, for Euclidean (rigid) registration of two 3D point-sets under the <inline-formula><tex-math notation="LaTeX">$L_2$</tex-Math><alternatives>. Expand
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Go-ICP: Solving 3D Registration Efficiently and Globally Optimally
  • J. Yang, Hongdong Li, Y. Jia
  • Mathematics, Computer Science
  • IEEE International Conference on Computer Vision
  • 1 December 2013
TLDR
This paper provides the very first globally optimal solution to Euclidean registration of two 3D point sets under the L2 error. Expand
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FISHER NON-NEGATIVE MATRIX FACTORIZATION FOR LEARNING LOCAL FEATURES
TLDR
In this paper, we propose a novel subspace method called Fisher non-negative matrix factorization (FNMF) for face recognition. Expand
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Vehicle Type Classification Using a Semisupervised Convolutional Neural Network
TLDR
In this paper, we propose a vehicle type classification method using a semisupervised convolutional neural network from vehicle frontal-view images. Expand
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Parsing video events with goal inference and intent prediction
TLDR
In this paper, we present an event parsing algorithm based on Stochastic Context Sensitive Grammar (SCSG) for understanding events, inferring the goal of agents and predicting their plausible intended actions. Expand
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Adaptive diffusion flow active contours for image segmentation
TLDR
We propose a novel external force, called adaptive diffusion flow (ADF), with adaptive diffusion strategies according to the characteristics of an image region in the parametric active contour model framework for image segmentation. Expand
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Accurate 3D Face Reconstruction With Weakly-Supervised Learning: From Single Image to Image Set
TLDR
We propose a novel deep 3D face reconstruction approach that 1) leverages a robust, hybrid loss function for weakly-supervised learning which takes into account both low-level and perception-level information for supervision, and 2) performs multi-image face reconstruction by exploiting complementary information from different images for shape aggregation. Expand
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Learning Human Interaction by Interactive Phrases
TLDR
We propose a novel hierarchical model to encode interactive phrases based on the latent SVM framework for human interaction recognition from videos. Expand
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A linear discriminant analysis framework based on random subspace for face recognition
TLDR
In this paper, we propose a novel framework, random discriminant analysis (RDA), to handle this problem. Expand
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Non-negative matrix factorization framework for face recognition
TLDR
We propose a framework of face recognition by adding NMF constraint and classifier constraints to matrix factorization to get both intuitive features and good recognition results. Expand
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