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 21 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
GeoTransformer: Fast and Robust Point Cloud Registration With Geometric Transformer.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

CasViGE: Learning robust point cloud registration with cascaded visual-geometric encoding.
Comput. Aided Geom. Des., July, 2023

GeoTransformer: Fast and Robust Point Cloud Registration with Geometric Transformer.
CoRR, 2023

Rotation-Invariant Transformer for Point Cloud Matching.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
SIFTER: A Framework for Robust Rumor Detection.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration.
CoRR, 2022

Unsupervised Voice-Face Representation Learning by Cross-Modal Prototype Contrast.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Geometric Transformer for Fast and Robust Point Cloud Registration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020
Transparent partial page migration between CPU and GPU.
Frontiers Comput. Sci., 2020

2019
ThunderNet: Towards Real-time Generic Object Detection.
CoRR, 2019

ThunderNet: Towards Real-Time Generic Object Detection on Mobile Devices.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

URSA: Hybrid Block Storage for Cloud-Scale Virtual Disks.
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.
CoRR, 2018

FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy.
CoRR, 2018

Merging-and-Evolution Networks for Mobile Vision Applications.
IEEE Access, 2018

Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Fd-Mobilenet: Improved Mobilenet with a Fast Downsampling Strategy.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

An Experimental Perspective for Computation-Efficient Neural Networks Training.
Proceedings of the Advanced Computer Architecture - 12th Conference, 2018


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