Xinyi Ying

Orcid: 0000-0002-3683-1477

According to our database1, Xinyi Ying authored at least 14 papers between 2020 and 2023.

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

Timeline

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Bibliography

2023
Learning scalable dynamic filter in convolutional networks.
Pattern Recognit. Lett., December, 2023

Exploring Fine-Grained Sparsity in Convolutional Neural Networks for Efficient Inference.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Incorporating Deep Background Prior Into Model-Based Method for Unsupervised Moving Vehicle Detection in Satellite Videos.
IEEE Trans. Geosci. Remote. Sens., 2023

Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection with Single Point Supervision.
CoRR, 2023

Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection with Single Point Supervision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Local Motion and Contrast Priors Driven Deep Network for Infrared Small Target Superresolution.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

DSFNet: Dynamic and Static Fusion Network for Moving Object Detection in Satellite Videos.
IEEE Geosci. Remote. Sens. Lett., 2022

MoCoPnet: Exploring Local Motion and Contrast Priors for Infrared Small Target Super-Resolution.
CoRR, 2022

2021
Light Field Image Super-Resolution Using Deformable Convolution.
IEEE Trans. Image Process., 2021

Symmetric Parallax Attention for Stereo Image Super-Resolution.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Exploring Sparsity in Image Super-Resolution for Efficient Inference.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Deformable 3D Convolution for Video Super-Resolution.
IEEE Signal Process. Lett., 2020

A Stereo Attention Module for Stereo Image Super-Resolution.
IEEE Signal Process. Lett., 2020

Learning Sparse Masks for Efficient Image Super-Resolution.
CoRR, 2020


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