Zheng Qin
Orcid: 0000-0003-4373-4111Affiliations:
- National University of Defense Technology, Science and Technology on Parallel and Distributed Laboratory, Changsha, China
According to our database1,
Zheng Qin
authored at least 26 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024
Learning accurate template matching with differentiable coarse-to-fine correspondence refinement.
Comput. Vis. Media, April, 2024
Learning Instance-Aware Correspondences for Robust Multi-Instance Point Cloud Registration in Cluttered Scenes.
CoRR, 2024
2023
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
Tensorformer: Normalized Matrix Attention Transformer for High-quality Point Cloud Reconstruction.
CoRR, 2023
2D3D-MATR: 2D-3D Matching Transformer for Detection-free Registration between Images and Point Clouds.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE ACM Trans. Audio Speech Lang. Process., 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2020
2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
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
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
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Proceedings of the Advanced Computer Architecture - 12th Conference, 2018