Publications

For a more complete list of publications from Prof Xuming He, please refer to his homepage.

(2020). Confidence-aware Adversarial Learning for Self-supervised Semantic Matching. In Chinese Conference on Pattern Recognition and Computer Vision 2020.

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(2020). Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images. In Medical Image Computing and Computer Assisted Intervention Society 2020.

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(2020). Learning Cross Modal Context Graph for Visual Grounding. In Association for the Advancement of Artificial Intelligence, 2020.

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(2020). Learning Context-aware Task Reasoning for Efficient Meta-reinforcement Learning. In International Conference on Autonomous Agents and Multiagent Systems, 2020.

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(2019). Pose-aware Multi-level Feature Network for Human Object Interaction Detection. In International Conference on Computer Vision, 2019.

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(2019). A Dual Attention Network With Semantic Embedding for Few-shot Learning. In Association for the Advancement of Artificial Intelligence, 2019.

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(2018). 3D Object Structure Recovery via Semi-supervised Learning on Videos. In British Machine Vision Conference, 2018.

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(2018). SemStyle: Learning to Generate Stylised Image Captions using Unaligned Text. In IEEE Conference on Computer Vision and Pattern Recognition, 2018.

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(2018). One-shot Action Localization by Learning Sequence Matching Network. In IEEE Conference on Computer Vision and Pattern Recognition, 2018.

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(2018). Geometry-aware Deep Network for Single-Image Novel View Synthesis. In IEEE Conference on Computer Vision and Pattern Recognition, 2018.

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(2018). Instance-aware Detailed Action Labeling in Videos. In IEEE Winter Conference on Applications of Computer Vision, 2018.

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(2018). 3D Box Proposals from a Single Monocular Image of an Indoor Scene. In Association for the Advancement of Artificial Intelligence, 2018.

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(2017). Stacked Learning to Search for Scene Labeling. In IEEE Transactions on Image Processing, 2017.

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(2017). Forest Change Detection in Incomplete Satellite Images With Deep Neural Networks. In IEEE Transactions on Geoscience and Remote Sensing, 2017.

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(2017). Predicting Salient Face in Multiple-face Videos. In IEEE Conference on Computer Vision and Pattern Recognition, 2017.

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(2017). Learning deep structured network for weakly supervised change detection. In International Joint Conference on Artificial Intelligence, 2017.

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(2017). Deep Free-Form Deformation Network for Object-Mask Registration. In International Conference on Computer Vision, 2017.

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(2017). Learning Spatial Transforms for Refining Object Segment Proposals. In IEEE Winter Conference on Applications of Computer Vision, 2017.

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(2017). Indoor Scene Parsing with Instance Segmentation, Semantic Labeling and Support Relationship Inference. In IEEE Conference on Computer Vision and Pattern Recognition, 2017.

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(2017). Efficient Scene Layout Aware Object Detection for Traffic Surveillance. In IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017.

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(2017). Boundary-aware Instance Segmentation. In IEEE Conference on Computer Vision and Pattern Recognition, 2017.

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(2016). Contour Completion without Region Segmentation. In IEEE Transactions on Image Processing, 2016.

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(2016). SentiCap: Generating Image Descriptions with Sentiments. In AAAI Conference on Artificial Intelligence, 2016.

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(2016). Semantic Context and Depth-aware Object Proposal Generation. In IEEE International Conference on Image Processing, 2016.

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(2016). Object-Aware Dictionary Learning with Deep Features. In IEEE Asian Conference on Computer Vision, 2016.

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(2016). Learning to Generate Object Segment Proposals with Multi-modal Cue. In IEEE Asian Conference on Computer Vision, 2016.

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(2016). Learning to Co-Generate Object Proposals with a Deep Structured Network. In IEEE Conference on Computer Vision and Pattern Recognition, 2016.

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(2016). Learning Dynamic Hierarchical Models for Anytime Scene Labeling. In IEEE European Conference on Computer Vision, 2016.

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(2016). Building Scene Models by Completing and Hallucinating Depth and Semantics. In IEEE European Conference on Computer Vision, 2016.

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