Hao Yu

Orcid: 0000-0002-7675-4701

Affiliations:

Technical University of Munich, Germany
National University of Defense Technology, National Laboratory for Parallel and Distributed Processing, Changsha, China

According to our database¹, Hao Yu authored at least 20 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Article

PhD thesis

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Other

Bibliography

2024

MatchU: Matching Unseen Objects for 6D Pose Estimation from RGB-D Images.

[BibT_eX]

[DOI]

CoRR, 2024

2023

GeoTransformer: Fast and Robust Point Cloud Registration With Geometric Transformer.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Task-Specific Context Decoupling for Object Detection.

[BibT_eX]

[DOI]

CoRR, 2023

Reduced-Resolution Head for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

NeRF-Pose: A First-Reconstruct-Then-Regress Approach for Weakly-supervised 6D Object Pose Estimation.

[BibT_eX]

[DOI]

Fu Li

Shishir Reddy Vutukur

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

Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction.

[BibT_eX]

[DOI]

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

Rotation-Invariant Transformer for Point Cloud Matching.

[BibT_eX]

[DOI]

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

Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud Registration.

[BibT_eX]

[DOI]

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

2022

RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration.

[BibT_eX]

[DOI]

CoRR, 2022

NeRF-Pose: A First-Reconstruct-Then-Regress Approach for Weakly-supervised 6D Object Pose Estimation.

[BibT_eX]

[DOI]

CoRR, 2022

Geometric Transformer for Fast and Robust Point Cloud Registration.

[BibT_eX]

[DOI]

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

2021

CoFiNet: Reliable Coarse-to-fine Correspondences for Robust Point Cloud Registration.

[BibT_eX]

[DOI]

CoRR, 2021

CoFiNet: Reliable Coarse-to-fine Correspondences for Robust PointCloud Registration.

[BibT_eX]

[DOI]

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

2018

Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications.

[BibT_eX]

[DOI]

CoRR, 2018

Merging-and-Evolution Networks for Mobile Vision Applications.

[BibT_eX]

[DOI]

IEEE Access, 2018

Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Nominal Data Similarity: A Hierarchical Measure.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Distribution majorization of corner points by reinforcement learning for moving object detection.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Machine Vision, 2017

S-OHEM: Stratified Online Hard Example Mining for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

Hao Yu

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