Xuming He

According to our database, Xuming He authored at least 139 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SGTR+: End-to-End Scene Graph Generation With Transformer.

Rongjie Li, Songyang Zhang, Xuming He

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

DSGG: Dense Relation Transformer for an End-to-end Scene Graph Generation.

Zeeshan Hayder, Xuming He

CoRR, 2024

P²OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering.

Chuyu Zhang, Hui Ren, Xuming He

CoRR, 2024

Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training.

Longtian Qiu, Shan Ning, Xuming He

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

GenEM: Physics-Informed Generative Cryo-Electron Microscopy.

Jiakai Zhang, Qihe Chen, Yan Zeng, Wenyuan Gao, Xuming He, Zhijie Liu, Jingyi Yu

CoRR, 2023

SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models.

Ziyi Lin, Chris Liu, Renrui Zhang, Peng Gao, Longtian Qiu, Han Xiao, Han Qiu, Chen Lin, Wenqi Shao, Keqin Chen, Jiaming Han, Siyuan Huang, Yichi Zhang, Xuming He, Hongsheng Li, Yu Qiao

CoRR, 2023

Novel Class Discovery for Long-tailed Recognition.

Chuyu Zhang, Ruijie Xu, Xuming He

CoRR, 2023

ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation.

Zhitong Gao, Shipeng Yan, Xuming He

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

OccluBEV: Occlusion Aware Spatiotemporal Modeling for Multi-view 3D Object Detection.

Ziteng Wen, Hai Xu, Chenyu Liu, Tao Guo, Jinshui Hu, Xuming He, Fengren Wang, Shun Lou, Haibo Fan

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI Segmentation.

Bingnan Li, Zhitong Gao, Xuming He

Proceedings of the Machine Learning for Health, 2023

Semi-Supervised Domain-Adaptive Pulmonary Artery Segmentation via Uncertainty Guidance and Shape Strengthening.

Jiyuan Liu, Xiao Zhang, Dongdong Gu, Xi Ouyang, Jiadong Zhang, Xuming He, Dinggang Shen, Zhong Xue

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Exploring Learning-Based Control Policy for Fish-Like Robots in Altered Background Flows.

Xiaozhu Lin, Wenbin Song, Xiaopei Liu, Xuming He, Yang Wang

IROS, 2023

MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels.

Chuanyang Hu, Shipeng Yan, Zhitong Gao, Xuming He

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning.

Bo Wan, Yongfei Liu, Desen Zhou, Tinne Tuytelaars, Xuming He

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts.

Zhitong Gao, Yucong Chen, Chuyu Zhang, Xuming He

Proceedings of the Eleventh International Conference on Learning Representations, 2023

The Robust Semantic Segmentation UNCV2023 Challenge Results.

Xuanlong Yu, Yi Zuo, Zitao Wang, Xiaowen Zhang, Jiaxuan Zhao, Yuting Yang, Licheng Jiao, Rui Peng, Xinyi Wang, Junpei Zhang, Kexin Zhang, Fang Liu, Roberto Alcover-Couso, Juan C. SanMiguel, Marcos Escudero-Viñolo, Hanlin Tian, Kenta Matsui, Tianhao Wang, Fahmy Adan, Zhitong Gao, Xuming He, Quentin Bouniot, Hossein Moghaddam, Shyam Nandan Rai, Fabio Cermelli, Carlo Masone, Andrea Pilzer, Elisa Ricci, Andrei Bursuc, Arno Solin, Martin Trapp, Rui Li, Angela Yao, Wenlong Chen, Ivor Simpson, Neill D. F. Campbell, Gianni Franchi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Human-centric Scene Understanding for 3D Large-scale Scenarios.

Yiteng Xu, Peishan Cong, Yichen Yao, Runnan Chen, Yuenan Hou, Xinge Zhu, Xuming He, Jingyi Yu, Yuexin Ma

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Grounded Image Text Matching with Mismatched Relation Reasoning.

Yu Wu, Yana Wei, Haozhe Wang, Yongfei Liu, Sibei Yang, Xuming He

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Class-relation Knowledge Distillation for Novel Class Discovery.

Peiyan Gu, Chuyu Zhang, Ruijie Xu, Xuming He

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Part-aware Prototypical Graph Network for One-shot Skeleton-based Action Recognition.

Tailin Chen, Desen Zhou, Jian Wang, Shidong Wang, Qian He, Chuanyang Hu, Errui Ding, Yu Guan, Xuming He

Proceedings of the 17th IEEE International Conference on Automatic Face and Gesture Recognition, 2023

HOICLIP: Efficient Knowledge Transfer for HOI Detection with Vision-Language Models.

Shan Ning, Longtian Qiu, Yongfei Liu, Xuming He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Cascade Sparse Feature Propagation Network for Interactive Segmentation.

Chuyu Zhang, Hui Ren, Chuanyang Hu, Yongfei Liu, Xuming He

Proceedings of the 34th British Machine Vision Conference 2023, 2023

CALIP: Zero-Shot Enhancement of CLIP with Parameter-Free Attention.

Ziyu Guo, Renrui Zhang, Longtian Qiu, Xianzheng Ma, Xupeng Miao, Xuming He, Bin Cui

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Expert.

Zhitong Gao, Yucong Chen, Chuyu Zhang, Xuming He

CoRR, 2022

A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion.

Xiangxi Meng, Yuning Gu, Yongsheng Pan, Nizhuan Wang, Peng Xue, Mengkang Lu, Xuming He, Yiqiang Zhan, Dinggang Shen

CoRR, 2022

Automatic spinal curvature measurement on ultrasound spine images using Faster R-CNN.

Zhichao Liu, Liyue Qian, Wenke Jing, Desen Zhou, Xuming He, Edmond Lou, Rui Zheng

CoRR, 2022

Intention-aware Feature Propagation Network for Interactive Segmentation.

Chuyu Zhang, Chuanyang Hu, Yongfei Liu, Xuming He

CoRR, 2022

Budget-aware Few-shot Learning via Graph Convolutional Network.

Shipeng Yan, Songyang Zhang, Xuming He

CoRR, 2022

KD-VLP: Improving End-to-End Vision-and-Language Pretraining with Object Knowledge Distillation.

Yongfei Liu, Chenfei Wu, Shao-Yen Tseng, Vasudev Lal, Xuming He, Nan Duan

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning.

Haozhe Wang, Chao Du, Panyan Fang, Shuo Yuan, Xuming He, Liang Wang, Bo Zheng

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Weakly Supervised Nuclei Segmentation Via Instance Learning.

Weizhen Liu, Qian He, Xuming He

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

FishGym: A High-Performance Physics-based Simulation Framework for Underwater Robot Learning.

Wenji Liu, Kai Bai, Xuming He, Shuran Song, Changxi Zheng, Xiaopei Liu

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Robust Temporally-Coherent Strategy for Few-shot Video Instance Segmentation.

Qiuyue Wang, Songyang Zhang, Xuming He

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Generative Negative Text Replay for Continual Vision-Language Pretraining.

Shipeng Yan, Lanqing Hong, Hang Xu, Jianhua Han, Tinne Tuytelaars, Zhenguo Li, Xuming He

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Semantic Correspondence with Sparse Annotations.

Shuaiyi Huang, Luyu Yang, Bo He, Songyang Zhang, Xuming He, Abhinav Shrivastava

Proceedings of the Computer Vision - ECCV 2022, 2022

General Incremental Learning with Domain-aware Categorical Representations.

Jiangwei Xie, Shipeng Yan, Xuming He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Workshop on Autonomous Driving at CVPR 2021: Technical Report for Streaming Perception Challenge.

Songyang Zhang, Lin Song, Songtao Liu, Zheng Ge, Zeming Li, Xuming He, Jian Sun

CoRR, 2021

Automatic segmentation of vertebral features on ultrasound spine images using Stacked Hourglass Network.

Hongye Zeng, Songhan Ge, Yuchong Gao, Desen Zhou, Kang Zhou, Xu-Ming He, Rui Zheng

CoRR, 2021

Fixed-Price Diffusion Mechanism Design.

Tianyi Zhang, Dengji Zhao, Wen Zhang, Xuming He

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Dynamic Grained Encoder for Vision Transformers.

Lin Song, Songyang Zhang, Songtao Liu, Zeming Li, Xuming He, Hongbin Sun, Jian Sun, Nanning Zheng

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

An EM Framework for Online Incremental Learning of Semantic Segmentation.

Shipeng Yan, Jiale Zhou, Jiangwei Xie, Songyang Zhang, Xuming He

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition.

Tailin Chen, Desen Zhou, Jian Wang, Shidong Wang, Yu Guan, Xuming He, Errui Ding

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Single Image 3D Object Estimation with Primitive Graph Networks.

Qian He, Desen Zhou, Bo Wan, Xuming He

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising Model.

Qian He, Shuailin Li, Xuming He

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Superpixel-Guided Iterative Learning from Noisy Labels for Medical Image Segmentation.

Shuailin Li, Zhitong Gao, Xuming He

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Learning Implicit Temporal Alignment for Few-shot Video Classification.

Songyang Zhang, Jiale Zhou, Xuming He

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

GNeRF: GAN-based Neural Radiance Field without Posed Camera.

Quan Meng, Anpei Chen, Haimin Luo, Minye Wu, Hao Su, Lan Xu, Xuming He, Jingyi Yu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Distribution Alignment: A Unified Framework for Long-Tail Visual Recognition.

Songyang Zhang, Zeming Li, Shipeng Yan, Xuming He, Jian Sun

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

DER: Dynamically Expandable Representation for Class Incremental Learning.

Shipeng Yan, Jiangwei Xie, Xuming He

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Relation-aware Instance Refinement for Weakly Supervised Visual Grounding.

Yongfei Liu, Bo Wan, Lin Ma, Xuming He

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Bipartite Graph Network With Adaptive Message Passing for Unbiased Scene Graph Generation.

Rongjie Li, Songyang Zhang, Bo Wan, Xuming He

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Learning a Layout Transfer Network for Context Aware Object Detection.

Tao Wang, Xuming He, Yuanzheng Cai, Guobao Xiao

IEEE Trans. Intell. Transp. Syst., 2020

Confidence-Aware Adversarial Learning for Self-supervised Semantic Matching.

Shuaiyi Huang, Qiuyue Wang, Xuming He

Proceedings of the Pattern Recognition and Computer Vision, Third Chinese Conference, 2020

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

Hongtao Yang, Tong Zhang, Wenbing Huang, Xuming He, Fatih Porikli

Proceedings of the HuMA'20: Proceedings of the 1st International Workshop on Human-centric Multimedia Analysis, 2020

LGNN: A Context-aware Line Segment Detector.

Quan Meng, Jiakai Zhang, Qiang Hu, Xuming He, Jingyi Yu

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Shape-Aware Semi-supervised 3D Semantic Segmentation for Medical Images.

Shuailin Li, Chuyu Zhang, Xuming He

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Disentangled Representation Learning for Controllable Image Synthesis: An Information-Theoretic Perspective.

Shichang Tang, Xu Zhou, Xuming He, Yi Ma

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Part-Aware Prototype Network for Few-Shot Semantic Segmentation.

Yongfei Liu, Xiangyi Zhang, Songyang Zhang, Xuming He

Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Context-aware Task Reasoning for Efficient Meta Reinforcement Learning.

Haozhe Wang, Jiale Zhou, Xuming He

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Learning Cross-Modal Context Graph for Visual Grounding.

Yongfei Liu, Bo Wan, Xiaodan Zhu, Xuming He

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning Autonomous Exploration and Mapping with Semantic Vision.

Xiangyang Zhi, Xuming He, Sören Schwertfeger

CoRR, 2019

LatentGNN: Learning Efficient Non-local Relations for Visual Recognition.

Songyang Zhang, Xuming He, Shipeng Yan

Proceedings of the 36th International Conference on Machine Learning, 2019

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

Bo Wan, Desen Zhou, Yongfei Liu, Rongjie Li, Xuming He

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Dynamic Context Correspondence Network for Semantic Alignment.

Shuaiyi Huang, Qiuyue Wang, Songyang Zhang, Shipeng Yan, Xuming He

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

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

Shipeng Yan, Songyang Zhang, Xuming He

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Learning to refine depth for robust stereo estimation.

Feiyang Cheng, Xuming He, Hong Zhang

Pattern Recognit., 2018

Simplifying Sentences with Sequence to Sequence Models.

Alexander Patrick Mathews, Lexing Xie, Xuming He

CoRR, 2018

Instance-Aware Detailed Action Labeling in Videos.

Hongtao Yang, Xuming He, Fatih Porikli

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

One-Shot Action Localization by Learning Sequence Matching Network.

Hongtao Yang, Xuming He, Fatih Porikli

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

SemStyle: Learning to Generate Stylised Image Captions Using Unaligned Text.

Alexander Patrick Mathews, Lexing Xie, Xuming He

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

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

Miaomiao Liu, Xuming He, Mathieu Salzmann

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

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

Qian He, Desen Zhou, Xuming He

Proceedings of the British Machine Vision Conference 2018, 2018

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

Wei Zhuo, Mathieu Salzmann, Xuming He, Miaomiao Liu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Stacked Learning to Search for Scene Labeling.

Feiyang Cheng, Xuming He, Hong Zhang

IEEE Trans. Image Process., 2017

Forest Change Detection in Incomplete Satellite Images With Deep Neural Networks.

Salman Hameed Khan, Xuming He, Fatih Porikli, Mohammed Bennamoun

IEEE Trans. Geosci. Remote. Sens., 2017

Learning Spatial Transforms for Refining Object Segment Proposals.

Haoyang Zhang, Xuming He, Fatih Porikli

Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Learning deep structured network for weakly supervised change detection.

Salman Hameed Khan, Xuming He, Fatih Porikli, Mohammed Bennamoun, Ferdous Ahmed Sohel, Roberto Togneri

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Deep Free-Form Deformation Network for Object-Mask Registration.

Haoyang Zhang, Xuming He

Proceedings of the IEEE International Conference on Computer Vision, 2017

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

Wei Zhuo, Mathieu Salzmann, Xuming He, Miaomiao Liu

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Efficient Scene Layout Aware Object Detection for Traffic Surveillance.

Tao Wang, Xuming He, Songzhi Su, Yin Guan

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Predicting Salient Face in Multiple-Face Videos.

Yufan Liu, Songyang Zhang, Mai Xu, Xuming He

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Boundary-Aware Instance Segmentation.

Zeeshan Hayder, Xuming He, Mathieu Salzmann

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Contour Completion Without Region Segmentation.

Yansheng Ming, Hongdong Li, Xuming He

IEEE Trans. Image Process., 2016

Semantic-Aware Depth Super-Resolution in Outdoor Scenes.

Miaomiao Liu, Mathieu Salzmann, Xuming He

CoRR, 2016

Weakly Supervised Change Detection in a Pair of Images.

Salman Hameed Khan, Xuming He, Mohammed Bennamoun, Fatih Porikli, Ferdous Ahmed Sohel, Roberto Togneri

CoRR, 2016

Shape-aware Instance Segmentation.

Zeeshan Hayder, Xuming He, Mathieu Salzmann

CoRR, 2016

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

Hanxi Li, Xuming He, Nick Barnes, Mingwen Wang

Proceedings of the MultiMedia Modeling - 22nd International Conference, 2016

Semantic context and depth-aware object proposal generation.

Haoyang Zhang, Xuming He, Fatih Porikli, Laurent Kneip

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Building Scene Models by Completing and Hallucinating Depth and Semantics.

Miaomiao Liu, Xuming He, Mathieu Salzmann

Proceedings of the Computer Vision - ECCV 2016, 2016

Learning Dynamic Hierarchical Models for Anytime Scene Labeling.

Buyu Liu, Xuming He

Proceedings of the Computer Vision - ECCV 2016, 2016

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

Zeeshan Hayder, Xuming He, Mathieu Salzmann

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Learning to Generate Object Segment Proposals with Multi-modal Cues.

Haoyang Zhang, Xuming He, Fatih Porikli

Proceedings of the Computer Vision - ACCV 2016, 2016

Object-Aware Dictionary Learning with Deep Features.

Yurui Xie, Fatih Porikli, Xuming He

Proceedings of the Computer Vision - ACCV 2016, 2016

SentiCap: Generating Image Descriptions with Sentiments.

Alexander Patrick Mathews, Lexing Xie, Xuming He

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Robust Face Alignment Under Occlusion via Regional Predictive Power Estimation.

Heng Yang, Xuming He, Xuhui Jia, Ioannis Patras

IEEE Trans. Image Process., 2015

Winding Number Constrained Contour Detection.

Yansheng Ming, Hongdong Li, Xuming He

IEEE Trans. Image Process., 2015

Structured Depth Prediction in Challenging Monocular Video Sequences.

Miaomiao Liu, Mathieu Salzmann, Xuming He

CoRR, 2015

Motion Segmentation of Truncated Signed Distance Function Based Volumetric Surfaces.

Samunda Perera, Nick Barnes, Xuming He, Shahram Izadi, Pushmeet Kohli, Ben Glocker

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Choosing Basic-Level Concept Names Using Visual and Language Context.

Alexander Patrick Mathews, Lexing Xie, Xuming He

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

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

Buyu Liu, Xuming He, Stephen Gould

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Studying Object Naming with Online Photos and Caption.

Alexander Patrick Mathews, Lexing Xie, Xuming He

Proceedings of the 2015 Workshop on Community-Organized Multimodal Mining: Opportunities for Novel Solutions, 2015

Structural Kernel Learning for Large Scale Multiclass Object Co-detection.

Zeeshan Hayder, Xuming He, Mathieu Salzmann

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Indoor scene structure analysis for single image depth estimation.

Wei Zhuo, Mathieu Salzmann, Xuming He, Miaomiao Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Multiclass semantic video segmentation with object-level active inference.

Buyu Liu, Xuming He

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Separating objects and clutter in indoor scenes.

Salman Hameed Khan, Xuming He, Mohammed Bennamoun, Ferdous Ahmed Sohel, Roberto Togneri

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Scene understanding by labeling pixels.

Stephen Gould, Xuming He

Commun. ACM, 2014

Joint semantic and geometric segmentation of videos with a stage model.

Buyu Liu, Xuming He, Stephen Gould

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

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

Zeeshan Hayder, Mathieu Salzmann, Xuming He

Proceedings of the Computer Vision - ECCV 2014, 2014

Superpixel Graph Label Transfer with Learned Distance Metric.

Stephen Gould, Jiecheng Zhao, Xuming He, Yuhang Zhang

Proceedings of the Computer Vision - ECCV 2014, 2014

Data-Driven Street Scene Layout Estimation for Distant Object Detection.

Donghao Zhang, Xuming He, Hanxi Li

Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014

Discrete-Continuous Depth Estimation from a Single Image.

Miaomiao Liu, Mathieu Salzmann, Xuming He

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

An Exemplar-Based CRF for Multi-instance Object Segmentation.

Xuming He, Stephen Gould

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Tracking Large-Scale Video Remix in Real-World Events.

Lexing Xie, Apostol Natsev, Xuming He, John R. Kender, Matthew L. Hill, John R. Smith

IEEE Trans. Multim., 2013

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

Lexing Xie, Xuming He

Proceedings of the ACM Multimedia Conference, 2013

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

Tao Wang, Xuming He, Nick Barnes

Proceedings of the IEEE International Conference on Image Processing, 2013

Symmetry detection via contour grouping.

Yansheng Ming, Hongdong Li, Xuming He

Proceedings of the IEEE International Conference on Image Processing, 2013

Multi-instance Object Segmentation with Exemplars.

Xuming He, Stephen Gould

Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

Learning Structured Hough Voting for Joint Object Detection and Occlusion Reasoning.

Tao Wang, Xuming He, Nick Barnes

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Winding Number for Region-Boundary Consistent Salient Contour Extraction.

Yansheng Ming, Hongdong Li, Xuming He

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Glass object localization by joint inference of boundary and depth.

Tao Wang, Xuming He, Nick Barnes

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Image segmentation for enhancing symbol recognition in prosthetic vision.

Lachlan Horne, Nick Barnes, Chris McCarthy, Xuming He

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

An face-based visual fixation system for prosthetic vision.

Xuming He, Junae Kim, Nick Barnes

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

The role of vision processing in prosthetic vision.

Nick Barnes, Xuming He, Chris McCarthy, Lachlan Horne, Junae Kim, Adele F. Scott, Paulette Lieby

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Learning Hough Forest with Depth-Encoded Context for Object Detection.

Tao Wang, Xuming He, Nick Barnes

Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 2012

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

Yansheng Ming, Hongdong Li, Xuming He

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

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

Lexing Xie, Xuming He

Proceedings of the 2011 TREC Video Retrieval Evaluation, 2011

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

Jun Sun, Hongdong Li, Xuming He

Proceedings of the Sixth International Conference on Image and Graphics, 2011

Laplacian Margin Distribution Boosting for Learning from Sparsely Labeled Data.

Tao Wang, Xuming He, Chunhua Shen, Nick Barnes

Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

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

Jun Sun, Hongdong Li, Xuming He

Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

2010

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

Shuang Wu, Xuming He, Hongjing Lu, Alan L. Yuille

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Occlusion Boundary Detection Using Pseudo-depth.

Xuming He, Alan L. Yuille

Proceedings of the Computer Vision, 2010

2008

Learning structured prediction models for image labeling.

Xuming He

PhD thesis, 2008

Learning Flexible Features for Conditional Random Fields.

Liam Stewart, Xuming He, Richard S. Zemel

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Learning Hybrid Models for Image Annotation with Partially Labeled Data.

Xuming He, Richard S. Zemel

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

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

Xiaodan Zhu, Xuming He, Cosmin Munteanu, Gerald Penn

Proceedings of the INTERSPEECH 2008, 2008

Latent topic random fields: Learning using a taxonomy of labels.

Xuming He, Richard S. Zemel

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2006

Topological map learning from outdoor image sequences.

Xuming He, Richard S. Zemel, Volodymyr Mnih

J. Field Robotics, 2006

Learning and Incorporating Top-Down Cues in Image Segmentation.

Xuming He, Richard S. Zemel, Debajyoti Ray

Proceedings of the Computer Vision, 2006

2004

Multiscale Conditional Random Fields for Image Labeling.

Xuming He, Richard S. Zemel, Miguel Á. Carreira-Perpiñán

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004