Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes

By Erik B. Sudderth, Michael I. Jordan. 2008

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Citations in the corpus

Variational Inference: A Review for Statisticians (2016, background): “…Wang and Mori 2009), image denoising (Likas and Galatsanos 2004), tracking (Vermaak, Lawrence, and Pérez 2003; Yu and Wu 2005), place recognition and mapping for robotics (Cummins and Newman 2008; Ramos et al. 2012), and image segmentation with Bayesian nonparametrics (Sudderth and Jordan 2009).”
An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild (2016, background): “It is well-known, however, that object frequencies in natural images follow longtailed distributions [1,2,3].”
DeepContext: Context-Encoding Neural Pathways for 3D Holistic Scene Understanding (2016, background): “The role of context has been studied extensively in computer vision [27, 41, 5, 4, 3, 7, 18, 37, 33, 35, 34, 19, 12, 9, 43, 1, 39, 24, 10, 42, 20, 21].”
Bayesian Nonparametrics: Hierarchical Bayesian nonparametric models with applications (2010, methodology): “In this section we describe a model based on such an HPY prior (Sudderth and Jordan, 2009).”
A Tutorial on Bayesian Nonparametric Models (2011, methodology): “The inferred latent causes are commonly known as “clusters.””
Revisiting Meta-Learning as Supervised Learning (2020, background): “However, this setting is indeed more realistic in practice according to the well-known long-tailed distribution (Sudderth and Jordan, 2008; Salakhutdinov et al., 2011; Zhu et al., 2014; Wang et al., 2017): there”
Layered RGBD scene flow estimation (2015, methodology): “We assume that the scene consists of K independently moving layers, ordered in depth [35, 39].”
Layered segmentation and optical flow estimation over time (2012, methodology): “Sudderth and Jordan [25] develop a segmentation model based on thresholded Gaussian processes (similar to level set methods) and obtain realistic segmentations of static scenes.”
Layered image motion with explicit occlusions, temporal consistency, and depth ordering (2010, methodology): “For a related approach to image segmentation, a mean field variational method has been proposed [21].”
A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation (2009, methodology): “We discretize these features using a codebook of size 64 (other codebook sizes gave similar performance), and then calculate the distribution [1] for each feature within each superpixel as visual words [3, 6, 10, 11, 20, 23, 24].”
Distance dependent Chinese restaurant processes (2009, unknown): “Also included are the product partition models of Hartigan (1990), their recent extension to dependence on covariates (Muller et al., 2008), and the dependent Pitman-Yor process (Sudderth and Jordan, 2008).”