Zheng Qin

Orcid: 0000-0003-4373-4111

Affiliations:

National University of Defense Technology, Science and Technology on Parallel and Distributed Laboratory, Changsha, China

According to our database¹, Zheng Qin authored at least 27 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

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

[BibT_eX]

[DOI]

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

Learning accurate template matching with differentiable coarse-to-fine correspondence refinement.

[BibT_eX]

[DOI]

Comput. Vis. Media, April, 2024

NeRF-Guided Unsupervised Learning of RGB-D Registration.

[BibT_eX]

[DOI]

CoRR, 2024

Instance-Level Scaling and Dynamic Margin-Alignment Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Learning Instance-Aware Correspondences for Robust Multi-Instance Point Cloud Registration in Cluttered Scenes.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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

[BibT_eX]

[DOI]

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

CasViGE: Learning robust point cloud registration with cascaded visual-geometric encoding.

[BibT_eX]

[DOI]

Comput. Aided Geom. Des., July, 2023

Tensorformer: Normalized Matrix Attention Transformer for High-quality Point Cloud Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2023

Decoupled Diffusion Models with Explicit Transition Probability.

[BibT_eX]

[DOI]

CoRR, 2023

2D3D-MATR: 2D-3D Matching Transformer for Detection-free Registration between Images and Point Clouds.

[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

SIFTER: A Framework for Robust Rumor Detection.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Unsupervised Voice-Face Representation Learning by Cross-Modal Prototype Contrast.

[BibT_eX]

[DOI]

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

2020

Transparent partial page migration between CPU and GPU.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2020

2019

ThunderNet: Towards Real-time Generic Object Detection.

[BibT_eX]

[DOI]

CoRR, 2019

ThunderNet: Towards Real-Time Generic Object Detection on Mobile Devices.

[BibT_eX]

[DOI]

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

URSA: Hybrid Block Storage for Cloud-Scale Virtual Disks.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth EuroSys Conference 2019, Dresden, Germany, March 25-28, 2019, 2019

2018

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

[BibT_eX]

[DOI]

CoRR, 2018

FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy.

[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

Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions.

[BibT_eX]

[DOI]

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

Fd-Mobilenet: Improved Mobilenet with a Fast Downsampling Strategy.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

An Experimental Perspective for Computation-Efficient Neural Networks Training.

[BibT_eX]

[DOI]

Proceedings of the Advanced Computer Architecture - 12th Conference, 2018

Zheng Qin

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