Xuming He

发表

Choosing Basic-Level Concept Names Using Visual and Language Context

Lexing Xie, Alexander Patrick Mathews, Xuming He, 2015, 2015 IEEE Winter Conference on Applications of Computer Vision.

Sieve maximum likelihood estimation for doubly semiparametric zero-inflated Poisson models

Xuming He, Hongqi Xue, Ning-Zhong Shi, 2010, J. Multivar. Anal..

Confidence-aware Adversarial Learning for Self-supervised Semantic Matching pdf

Xuming He, Qiuyue Wang, Shuaiyi Huang, 2020, PRCV.

An Exemplar-Based CRF for Multi-instance Object Segmentation

Xuming He, Stephen Gould, Stephen Gould, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Picture tags and world knowledge: learning tag relations from visual semantic sources

Lexing Xie, Xuming He, Xuming He, 2013, ACM Multimedia.

Learning Autonomous Exploration and Mapping with Semantic Vision pdf

Xuming He, Xiangyang Zhi, Sören Schwertfeger, 2019, Proceedings of the 2019 International Conference on Image, Video and Signal Processing - IVSP 2019.

Pose-Aware Multi-Level Feature Network for Human Object Interaction Detection

Xuming He, Yongfei Liu, Bo Wan, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Multi-class Semantic Video Segmentation with Exemplar-Based Object Reasoning

Xuming He, Buyu Liu, Stephen Gould, 2015, 2015 IEEE Winter Conference on Applications of Computer Vision.

Structural Kernel Learning for Large Scale Multiclass Object Co-detection

Xuming He, Mathieu Salzmann, Zeeshan Hayder, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Learning Structured Hough Voting for Joint Object Detection and Occlusion Reasoning

Nick Barnes, Tao Wang, Xuming He, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Instance-Aware Detailed Action Labeling in Videos

Fatih Murat Porikli, Xuming He, Hongtao Yang, 2018, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).

Efficient Image Denoising by MRF Approximation with Uniform-Sampled Multi-spanning-tree

Jun Sun, Hongdong Li, Xuming He, 2011, 2011 Sixth International Conference on Image and Graphics.

Partially Bayesian variable selection in classification trees

Xuming He, Douglas A. Noe, 2008 .

A mixture factor model with applications to microarray data

Jianhua Guo, Xuming He, Wensheng Zhu, 2019 .

Probabilistic models of vision and max-margin methods

Alan L. Yuille, Xuming He, A. Yuille, 2012 .

Learning a Layout Transfer Network for Context Aware Object Detection

Xuming He, Guobao Xiao, Yuanzheng Cai, 2019, IEEE Transactions on Intelligent Transportation Systems.

Bias Correction in RNA-Seq Short-Read Counts Using Penalized Regression

Ping Ma, Xuming He, David Dalpiaz, 2013 .

Connected contours: A new contour completion model that respects the closure effect

Hongdong Li, Xuming He, Yansheng Ming, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Robust Face Alignment Under Occlusion via Regional Predictive Power Estimation

Ioannis Patras, Xuming He, Heng Yang, 2015, IEEE Transactions on Image Processing.

Learning to Co-Generate Object Proposals with a Deep Structured Network

Xuming He, Mathieu Salzmann, Zeeshan Hayder, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Dynamic Context Correspondence Network for Semantic Alignment

Xuming He, Songyang Zhang, Qiuyue Wang, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Efficient Scene Layout Aware Object Detection for Traffic Surveillance

Tao Wang, Xuming He, Songzhi Su, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Reproducibility Probability Score—incorporating measurement variability across laboratories for gene selection

Sheng Zhong, Leming Shi, Xuming He, 2006, Nature Biotechnology.

Contour Completion Without Region Segmentation

Hongdong Li, Xuming He, Yansheng Ming, 2016, IEEE Transactions on Image Processing.

Book Reviews

Charu C. Aggarwal, Stan Lipovetsky, Nick T. Thomopoulos, 2018, Technometrics.

Topological map learning from outdoor image sequences

Richard S. Zemel, Xuming He, Volodymyr Mnih, 2006, J. Field Robotics.

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

Xuming He, Mathieu Salzmann, Miaomiao Liu, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Glass object segmentation by label transfer on joint depth and appearance manifolds

Nick Barnes, Tao Wang, Xuming He, 2013, 2013 IEEE International Conference on Image Processing.

3D Object Structure Recovery via Semi-supervised Learning on Videos

Qian He, Xuming He, Desen Zhou, 2018, BMVC.

Fixed-price Diffusion Mechanism Design pdf

Tianyi Zhang, Xuming He, Wen Zhang, 2019, PRICAI.

Object-Aware Dictionary Learning with Deep Features

Yurui Xie, Fatih Murat Porikli, Xuming He, 2016, ACCV.

Superpixel Graph Label Transfer with Learned Distance Metric

Xuming He, Stephen Gould, Yuhang Zhang, 2014, ECCV.

Learning Hough Transform with Latent Structures for Joint Object Detection and Pose Estimation

Nick Barnes, Mingwen Wang, Xuming He, 2016, MMM.

Shape-aware Instance Segmentation pdf

Xuming He, Mathieu Salzmann, Zeeshan Hayder, 2016, ArXiv.

Stacked Learning to Search for Scene Labeling

Xuming He, Feiyang Cheng, Hong Zhang, 2017, IEEE Transactions on Image Processing.

Object Co-detection via Efficient Inference in a Fully-Connected CRF

Xuming He, Mathieu Salzmann, Zeeshan Hayder, 2014, ECCV.

Learning to refine depth for robust stereo estimation

Xuming He, Hong Zhang, Feiyang Cheng, 2018, Pattern Recognit..

Multi-instance Object Segmentation with Exemplars

Xuming He, Stephen Gould, 2013, 2013 IEEE International Conference on Computer Vision Workshops.

One-Shot Action Localization by Learning Sequence Matching Network

Fatih Murat Porikli, Xuming He, Hongtao Yang, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Learning deep structured network for weakly supervised change detection

Mohammed Bennamoun, Roberto Togneri, Fatih Murat Porikli, 2016, IJCAI.

Learning Hybrid Models for Image Annotation with Partially Labeled Data

Richard S. Zemel, Xuming He, R. Zemel, 2008, NIPS.

A unified model of short-range and long-range motion perception

Shuang Wu, Alan L. Yuille, Xuming He, 2010, NIPS.

Discrete-Continuous Depth Estimation from a Single Image

Xuming He, Mathieu Salzmann, Miaomiao Liu, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Multiscale conditional random fields for image labeling

Miguel Á. Carreira-Perpiñán, Richard S. Zemel, Xuming He, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Quantile regression with doubly censored data

Xuming He, Stephen Portnoy, Guixian Lin, 2012, Comput. Stat. Data Anal..

Learning and Incorporating Top-Down Cues in Image Segmentation

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

Editorial for the special issue on quantile regression and semiparametric methods

Mia Hubert, Xuming He, Huixia Judy Wang, 2012, Comput. Stat. Data Anal..

Learning Flexible Features for Conditional Random Fields

Richard S. Zemel, Xuming He, Liam Stewart, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

An Improved Iterative Proportional Scaling Procedure for Gaussian Graphical Models

Jianhua Guo, Xuming He, Ping Feng Xu, 2011 .

Joint semantic and geometric segmentation of videos with a stage model

Xuming He, Buyu Liu, Stephen Gould, 2014, IEEE Winter Conference on Applications of Computer Vision.

Data-Driven Street Scene Layout Estimation for Distant Object Detection

Xuming He, Donghao Zhang, Hanxi Li, 2014, 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

GLOBALLY ADAPTIVE QUANTILE REGRESSION WITH ULTRA-HIGH DIMENSIONAL DATA.

Qi Zheng, Xuming He, Limin Peng, 2015, Annals of statistics.

SentiCap: Generating Image Descriptions with Sentiments pdf

Lexing Xie, Alexander Patrick Mathews, Xuming He, 2015, AAAI.

A Dual Attention Network with Semantic Embedding for Few-Shot Learning

Xuming He, Songyang Zhang, Shipeng Yan, 2019, AAAI.

Discussion of “multivariate functional outlier detection”

Xuming He, Naveen Naidu Narisetty, 2015, Stat. Methods Appl..

Learning Spatial Transforms for Refining Object Segment Proposals

Fatih Murat Porikli, Xuming He, Haoyang Zhang, 2017, 2017 IEEE Winter Conference on Applications of Computer Vision (WACV).

Simplifying Sentences with Sequence to Sequence Models pdf

Lexing Xie, Alexander Patrick Mathews, Xuming He, 2018, ArXiv.

Inference on Low-Rank Data Matrices with Applications to Microarray Data

Xuming He, Xingdong Feng, 2009 .

Towards Purely Unsupervised Disentanglement of Appearance and Shape for Person Images Generation

Wenbing Huang, Xuming He, Tong Zhang, 2020, HUMA @ ACM Multimedia.

Learning Context-aware Task Reasoning for Efficient Meta-reinforcement Learning

Jiale Zhou, Xuming He, Haozhe Wang, 2020, AAMAS.

An face-based visual fixation system for prosthetic vision

Nick Barnes, Xuming He, Junae Kim, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Boundary-Aware Instance Segmentation

Xuming He, Mathieu Salzmann, Zeeshan Hayder, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Multiclass semantic video segmentation with object-level active inference

Xuming He, Buyu Liu, Xuming He, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

3D Box Proposals From a Single Monocular Image of an Indoor Scene

Xuming He, Mathieu Salzmann, Miaomiao Liu, 2018, AAAI.

Winding Number for Region-Boundary Consistent Salient Contour Extraction

Hongdong Li, Xuming He, Yansheng Ming, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

LGNN: A Context-aware Line Segment Detector

Xuming He, Qiang Hu, Quan Meng, 2020, ACM Multimedia.

Learning to Generate Object Segment Proposals with Multi-modal Cues

Fatih Murat Porikli, Xuming He, Haoyang Zhang, 2016, ACCV.

Occlusion Boundary Detection Using Pseudo-depth

Alan L. Yuille, Xuming He, A. Yuille, 2010, ECCV.

Learning Dynamic Hierarchical Models for Anytime Scene Labeling pdf

Xuming He, Buyu Liu, 2016, ECCV.

Dissecting Early Differentially Expressed Genes in a Mixture of Differentiating Embryonic Stem Cells

Sheng Zhong, Feng Hong, Xuming He, 2009, PLoS Comput. Biol..

Laplacian Margin Distribution Boosting for Learning from Sparsely Labeled Data

Nick Barnes, Tao Wang, Chunhua Shen, 2011, 2011 International Conference on Digital Image Computing: Techniques and Applications.

The Effectiveness of Prosthetic Fixation for Recognizing Faces in Natural Scenes

Nick Barnes, Xuming He, Hanxi Li, 2014 .

Building Scene Models by Completing and Hallucinating Depth and Semantics

Xuming He, Mathieu Salzmann, Miaomiao Liu, 2016, ECCV.

Caricaturing improves face identity recognition in simulated prosthetic vision.

Nick Barnes, Xuming He, Elinor McKone, 2015, Journal of vision.

Symmetry detection via contour grouping

Hongdong Li, Xuming He, Yansheng Ming, 2013, 2013 IEEE International Conference on Image Processing.

Glass object localization by joint inference of boundary and depth

Nick Barnes, Tao Wang, Xuming He, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Object Detection for Bionic Vision

Nick Barnes, Chris McCarthy, Xuming He, 2011 .

Using latent Dirichlet allocation to incorporate domain knowledge for topic transition detection

Gerald Penn, Xuming He, Cosmin Munteanu, 2008, INTERSPEECH.

Motion Segmentation of Truncated Signed Distance Function Based Volumetric Surfaces

Ben Glocker, Pushmeet Kohli, Shahram Izadi, 2015, 2015 IEEE Winter Conference on Applications of Computer Vision.

LatentGNN: Learning Efficient Non-local Relations for Visual Recognition

Xuming He, Songyang Zhang, Shipeng Yan, 2019, ICML.

Image segmentation for enhancing symbol recognition in prosthetic vision

Nick Barnes, Chris McCarthy, Xuming He, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Deep Free-Form Deformation Network for Object-Mask Registration

Xuming He, Haoyang Zhang, Xuming He, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Structured Depth Prediction in Challenging Monocular Video Sequences pdf

Xuming He, Mathieu Salzmann, Miaomiao Liu, 2015, ArXiv.

Winding Number Constrained Contour Detection

Hongdong Li, Xuming He, Yansheng Ming, 2015, IEEE Transactions on Image Processing.

Predicting Salient Face in Multiple-Face Videos

Xuming He, Songyang Zhang, Mai Xu, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Cross-modal Context Graph for Visual Grounding pdf

Xuming He, Yongfei Liu, Bo Wan, 2019, AAAI.

Indoor Scene Parsing with Instance Segmentation, Semantic Labeling and Support Relationship Inference

Xuming He, Mathieu Salzmann, Miaomiao Liu, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Forest Change Detection in Incomplete Satellite Images With Deep Neural Networks

Mohammed Bennamoun, Xuming He, Fatih Porikli, 2017, IEEE Transactions on Geoscience and Remote Sensing.

Non-parametric quantification of protein lysate arrays

Xuming He, Kevin R. Coombes, Keith A. Baggerly, 2007, Bioinform..

Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images

Xuming He, Chuyu Zhang, Shuailin Li, 2020, MICCAI.

Scene understanding by labeling pixels

Xuming He, Stephen Gould, Stephen Gould, 2014, Commun. ACM.

Tree-Based Methods and Their Applications

Nan Lin, Xuming He, Douglas Noe, 2006 .

Studying Object Naming with Online Photos and Caption

Lexing Xie, Alexander Patrick Mathews, Xuming He, 2015, MMCommons '15.

Part-aware Prototype Network for Few-shot Semantic Segmentation

Xuming He, Yongfei Liu, Songyang Zhang, 2020, ECCV.

Reno: regularized non-parametric analysis of protein lysate array data

Bin Li, Xuming He, Feng Liang, 2012, Bioinform..

SemStyle: Learning to Generate Stylised Image Captions Using Unaligned Text

Lexing Xie, Alexander Patrick Mathews, Xuming He, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Semantic context and depth-aware object proposal generation

Laurent Kneip, Fatih Murat Porikli, Xuming He, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Latent topic random fields: Learning using a taxonomy of labels

Richard S. Zemel, Xuming He, R. Zemel, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

The role of vision processing in prosthetic vision

Nick Barnes, Chris McCarthy, Xuming He, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Learning Hough Forest with Depth-Encoded Context for Object Detection

Nick Barnes, Tao Wang, Xuming He, 2012, 2012 International Conference on Digital Image Computing Techniques and Applications (DICTA).

Indoor scene structure analysis for single image depth estimation

Xuming He, Mathieu Salzmann, Miaomiao Liu, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Spatial Semantics and Classifier Cascades: The ANU 2011 Multimedia Event Detection System

Lexing Xie, Xuming He, 2011, TRECVID.

Learning structured prediction models for image labeling

Xuming He, Xuming He, 2008 .

Semantic-Aware Depth Super-Resolution in Outdoor Scenes pdf

Xuming He, Mathieu Salzmann, Miaomiao Liu, 2016, ArXiv.

Adjustment of Measuring Devices With Linear Models

Nan Lin, Xuming He, William G. Buttlar, 2004, Technometrics.

An Interpretable Multi-scale Deep Network for Structure Localization in Medical Images

Xuming He, Yongfei Liu, Bo Wan, 2019 .

Analysis on Tree Structure Selection for MRF Inference in Low-level Vision

Jun Sun, Hongdong Li, Xuming He, 2011, 2011 International Conference on Digital Image Computing: Techniques and Applications.

A new theoretical approach to improving face recognition in disorders of central vision: face caricaturing.

Nick Barnes, Xuming He, Elinor McKone, 2014, Journal of vision.

Bayesian analysis of the patterns of biological susceptibility via reversible jump MCMC sampling

Xuming He, Ning-Zhong Shi, Jian Tao, 2011, Comput. Stat. Data Anal..

Tracking Large-Scale Video Remix in Real-World Events

John R. Kender, John R. Smith, Matthew L. Hill, 2013, IEEE Transactions on Multimedia.

Separating objects and clutter in indoor scenes

Mohammed Bennamoun, Roberto Togneri, Xuming He, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Face Detection And Tracking In Video To Facilitate Face Recognition In A Visual Prosthesis

Nick Barnes, Chunhua Shen, Xuming He, 2011 .

Weakly Supervised Change Detection in a Pair of Images pdf

Mohammed Bennamoun, Roberto Togneri, Fatih Murat Porikli, 2016, ArXiv.