NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (29)

cs.CV2018

SemStyle: Learning to Generate Stylised Image Captions using Unaligned Text

Alexander Mathews, Lexing Xie, Xuming He

cs.CV2016

Semantic-Aware Depth Super-Resolution in Outdoor Scenes

Miaomiao Liu, Mathieu Salzmann, Xuming He

math.ST2012

Bayesian empirical likelihood for quantile regression

Yunwen Yang, Xuming He

stat.AP2010

Inference on low-rank data matrices with applications to microarray data

Xingdong Feng, Xuming He

stat.ME2015

Globally adaptive quantile regression with ultra-high dimensional data

Qi Zheng, Limin Peng, Xuming He

cs.SI2013

Tracking Large-Scale Video Remix in Real-World Events

Lexing Xie, Apostol Natsev, Xuming He +3

math.ST2005

Discussion of "Breakdown and groups" by P. L. Davies and U. Gather

Xuming He

cs.CV2016

Learning Dynamic Hierarchical Models for Anytime Scene Labeling

Buyu Liu, Xuming He

math.ST2007

On the limiting distributions of multivariate depth-based rank sum statistics and related tests

Yijun Zuo, Xuming He

cs.CV2015

SentiCap: Generating Image Descriptions with Sentiments

Alexander Mathews, Lexing Xie, Xuming He

stat.ME2007

Robust estimates in generalized partially linear models

Graciela Boente, Xuming He, Jianhui Zhou

stat.AP2011

Detection of treatment effects by covariate-adjusted expected shortfall

Xuming He, Ya-Hui Hsu, Mingxiu Hu

cs.CV2019

LatentGNN: Learning Efficient Non-local Relations for Visual Recognition

Songyang Zhang, Shipeng Yan, Xuming He

cs.GT2019

Fixed-price Diffusion Mechanism Design

Tianyi Zhang, Dengji Zhao, Wen Zhang +1

cs.CV2017

Learning deep structured network for weakly supervised change detection

Salman H Khan, Xuming He, Fatih Porikli +3

cs.CL2018

Simplifying Sentences with Sequence to Sequence Models

Alexander Mathews, Lexing Xie, Xuming He

math.ST2009

Efficient randomized-adaptive designs

Feifang Hu, Li-Xin Zhang, Xuming He

math.ST2007

Rejoinder: Conditional Growth Charts

Ying Wei, Xuming He

math.ST2007

Discussion paper. Conditional growth charts

Ying Wei, Xuming He

math.ST2015

Bayesian quantile regression with approximate likelihood

Yang Feng, Yuguo Chen, Xuming He

cs.RO2019

Learning Autonomous Exploration and Mapping with Semantic Vision

Xiangyang Zhi, Xuming He, Sören Schwertfeger

cs.CV2017

Boundary-aware Instance Segmentation

Zeeshan Hayder, Xuming He, Mathieu Salzmann

math.ST2013

Quantile-adaptive model-free variable screening for high-dimensional heterogeneous data

Xuming He, Lan Wang, Hyokyoung Grace Hong

math.ST2018

On the Predictive Risk in Misspecified Quantile Regression

Alexander Giessing, Xuming He

math.ST2008

Dimension reduction based on constrained canonical correlation and variable filtering

Jianhui Zhou, Xuming He

cs.CV2018

Geometry-aware Deep Network for Single-Image Novel View Synthesis

Miaomiao Liu, Xuming He, Mathieu Salzmann

math.ST2014

Statistical inference based on robust low-rank data matrix approximation

Xingdong Feng, Xuming He

math.ST2014

Bayesian variable selection with shrinking and diffusing priors

Naveen Naidu Narisetty, Xuming He

cs.CV2015

Structured Depth Prediction in Challenging Monocular Video Sequences

Miaomiao Liu, Mathieu Salzmann, Xuming He