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- Xuming He, Richard S. Zemel, Miguel Á. Carreira-Perpiñán
- Proceedings of the 2004 IEEE Computer Society…
- 2004

We propose an approach to include contextual features for labeling images, in which each pixel is assigned to one of a finite set of labels. The features are incorporated into a probabilistic framework, which combines the outputs of several components. Components differ in the information they encode. Some focus on the image-label mapping, while others… (More)

The penalized least squares interpretation of the classical random effects estimator suggests a possible way forward for quantile regression models with a large number of “fixed effects”. The introduction of a large number of individual fixed effects can significantly inflate the variability of estimates of other covariate effects. Regularization, or… (More)

- Miaomiao Liu, Mathieu Salzmann, Xuming He
- 2014 IEEE Conference on Computer Vision and…
- 2014

In this paper, we tackle the problem of estimating the depth of a scene from a single image. This is a challenging task, since a single image on its own does not provide any depth cue. To address this, we exploit the availability of a pool of images for which the depth is known. More specifically, we formulate monocular depth estimation as a… (More)

- Xuming He, Richard S. Zemel, Debajyoti Ray
- ECCV
- 2006

Bottom-up approaches, which rely mainly on continuity principles, are often insufficient to form accurate segments in natural images. In order to improve performance, recent methods have begun to incorporate top-down cues, or object information, into segmentation. In this paper, we propose an approach to utilizing category-based information in segmentation,… (More)

- Xuming He, Qi-Man Shao
- 2007

In statistical analyses the complexity of a chosen model is often related to the size of available data. One important question is whether the asymptotic distribution of the parameter estimates normally derived by taking the sample size to innnity for a xed number of parameters would remain valid if the number of parameters in the model actually increases… (More)

- Xuming He, Wing K Fung
- 2000

We consider S-estimators of multivariate location and common dispersion matrix in multiple populations. Instead of averaging the robust estimates of the individual covariance matrices, as used by Todorov, Neykov & Neytchev (1990), the observations are pooled for estimating the common covariance more eeciently. Two such proposals are evaluated by a breakdown… (More)

In some applications, the mean or median response is linearly related to some variables but the relation to additional variables are not easily parameterized. Partly linear models arise naturally in such circumstances. Suppose that a random sample f X i 2 R p and T i ranges over a unit square, and g 0 is an unknown function with a certain degree of… (More)

- Jianhua Hu, Xuming He, Keith A. Baggerly, Kevin R. Coombes, Bryan T. J. Hennessy, Gordon B. Mills
- Bioinformatics
- 2007

MOTIVATION
Proteins play a crucial role in biological activity, so much can be learned from measuring protein expression and post-translational modification quantitatively. The reverse-phase protein lysate arrays allow us to quantify the relative expression levels of a protein in many different cellular samples simultaneously. Existing approaches to… (More)

Popular smoothing techniques generally have a di cult time accommodating qualitative constraints like monotonicity, convexity or boundary conditions on the tted function. In this paper, we attempt to bring the problem of constrained spline smoothing to the foreground and describe the details of a constrained B-spline smoothing (COBS) algorithm that is being… (More)

- Ying Wei, Anneli Pere, Roger Koenker, Xuming He
- Statistics in medicine
- 2006

Estimation of reference growth curves for children's height and weight has traditionally relied on normal theory to construct families of quantile curves based on samples from the reference population. Age-specific parametric transformation has been used to significantly broaden the applicability of these normal theory methods. Non-parametric quantile… (More)