Zaiping Lin

According to our database, Zaiping Lin authored at least 48 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

LSTT: Long-Term Spatial-Temporal Tensor Model for Infrared Small Target Detection under Dynamic Background.

De-Yong Lu, Wei An, Qiang Ling, Dong Cao, Haibo Wang, Miao Li, Zaiping Lin

Remote. Sens., August, 2024

SPTrack: Spectral Similarity Prompt Learning for Hyperspectral Object Tracking.

Gaowei Guo, Zhaoxu Li, Wei An, Yingqian Wang, Xu He, Yihang Luo, Qiang Ling, Miao Li, Zaiping Lin

Remote. Sens., August, 2024

DDAug: Differentiable Data Augmentation for Weakly Supervised Semantic Segmentation.

Boyang Li, Fei Zhang, Longguang Wang, Yingqian Wang, Ting Liu, Zaiping Lin, Wei An, Yulan Guo

IEEE Trans. Multim., 2024

Mixed-Precision Network Quantization for Infrared Small Target Segmentation.

Boyang Li, Longguang Wang, Yingqian Wang, Tianhao Wu, Zaiping Lin, Miao Li, Wei An, Yulan Guo

IEEE Trans. Geosci. Remote. Sens., 2024

Global-to-Local Spatial-Spectral Awareness Transformer Network for Hyperspectral Anomaly Detection.

Xu He, Shilin Zhou, Qiang Ling, Miao Li, Zhaoxu Li, Yuyuan Zhang, Zaiping Lin

IEEE Trans. Geosci. Remote. Sens., 2024

Visible-Thermal Tiny Object Detection: A Benchmark Dataset and Baselines.

Xinyi Ying, Chao Xiao, Ruojing Li, Xu He, Boyang Li, Zhaoxu Li, Yingqian Wang, Mingyuan Hu, Qingyu Xu, Zaiping Lin, Miao Li, Shilin Zhou, Wei An, Weidong Sheng, Li Liu

CoRR, 2024

SpecDETR: A Transformer-based Hyperspectral Point Object Detection Network.

Zhaoxu Li, Wei An, Gaowei Guo, Longguang Wang, Yingqian Wang, Zaiping Lin

CoRR, 2024

2023

Exploring Fine-Grained Sparsity in Convolutional Neural Networks for Efficient Inference.

Longguang Wang, Yulan Guo, Xiaoyu Dong, Yingqian Wang, Xinyi Ying, Zaiping Lin, Wei An

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

Dense Nested Attention Network for Infrared Small Target Detection.

Boyang Li, Chao Xiao, Longguang Wang, Yingqian Wang, Zaiping Lin, Miao Li, Wei An, Yulan Guo

IEEE Trans. Image Process., 2023

Spectral Difference Guided Graph Attention Autoencoder for Hyperspectral Anomaly Detection.

Kun Li, Qiang Ling, Yingqian Wang, Yaoming Cai, Yao Qin, Zaiping Lin, Wei An

IEEE Trans. Instrum. Meas., 2023

You Only Train Once: Learning a General Anomaly Enhancement Network With Random Masks for Hyperspectral Anomaly Detection.

Zhaoxu Li, Yingqian Wang, Chao Xiao, Qiang Ling, Zaiping Lin, Wei An

IEEE Trans. Geosci. Remote. Sens., 2023

Anomaly Detection for Hyperspectral Imagery via Tensor Low-Rank Approximation With Multiple Subspace Learning.

Xu He, Jing Wu, Qiang Ling, Zhaoxu Li, Zaiping Lin, Shilin Zhou

IEEE Trans. Geosci. Remote. Sens., 2023

RawTrack: Toward Single Object Tracking on Mosaic Hyperspectral Raw Data.

Zhaoxu Li, Gaowei Guo, Xu He, Qingyu Xu, Wei Wang, Qiang Ling, Zaiping Lin, Wei An

Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection.

Boyang Li, Yingqian Wang, Longguang Wang, Fei Zhang, Ting Liu, Zaiping Lin, Wei An, Yulan Guo

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

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

Xinyi Ying, Li Liu, Yingqian Wang, Ruojing Li, Nuo Chen, Zaiping Lin, Weidong Sheng, Shilin Zhou

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

2022

Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark.

Qian Yin, Qingyong Hu, Hao Liu, Feng Zhang, Yingqian Wang, Zaiping Lin, Wei An, Yulan Guo

IEEE Trans. Geosci. Remote. Sens., 2022

Spectral-Spatial Deep Support Vector Data Description for Hyperspectral Anomaly Detection.

Kun Li, Qiang Ling, Yao Qin, Yingqian Wang, Yaoming Cai, Zaiping Lin, Wei An

IEEE Trans. Geosci. Remote. Sens., 2022

Local Motion and Contrast Priors Driven Deep Network for Infrared Small Target Superresolution.

Xinyi Ying, Yingqian Wang, Longguang Wang, Weidong Sheng, Li Liu, Zaiping Lin, Shilin Zhou

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

IISTD: Image Inpainting-Based Small Target Detection in a Single Infrared Image.

De-Yong Lu, Qiang Ling, Yuanyuan Zhang, Zaiping Lin, Wei An

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Hyperspectral Detection and Unmixing of Subpixel Target Using Iterative Constrained Sparse Representation.

Qiang Ling, Kun Li, Zhaoxu Li, Zaiping Lin, Jiawen Wang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Noise Parameter Estimation Two-Stage Network for Single Infrared Dim Small Target Image Destriping.

Teliang Wang, Qian Yin, Fanzhi Cao, Miao Li, Zaiping Lin, Wei An

Remote. Sens., 2022

Parallax Attention for Unsupervised Stereo Correspondence Learning.

Longguang Wang, Yulan Guo, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Moving Object Detection in Satellite Videos via Spatial-Temporal Tensor Model and Weighted Schatten p-Norm Minimization.

Qian Yin, Ting Liu, Zaiping Lin, Wei An, Yulan Guo

IEEE Geosci. Remote. Sens. Lett., 2022

Detecting Dim Small Target in Infrared Images via Subpixel Sampling Cuneate Network.

Xu He, Qiang Ling, Yuyuan Zhang, Zaiping Lin, Shilin Zhou

IEEE Geosci. Remote. Sens. Lett., 2022

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

Xinyi Ying, Yingqian Wang, Longguang Wang, Weidong Sheng, Li Liu, Zaiping Lin, Shilin Zhou

CoRR, 2022

2021

Self-Supervised Deep Subspace Clustering for Hyperspectral Images With Adaptive Self-Expressive Coefficient Matrix Initialization.

Kun Li, Yao Qin, Qiang Ling, Yingqian Wang, Zaiping Lin, Wei An

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Segmentation-Based Weighting Strategy for Hyperspectral Anomaly Detection.

Zhaoxu Li, Qiang Ling, Zaiping Lin, Jing Wu

IEEE Geosci. Remote. Sens. Lett., 2021

Learning A Single Network for Scale-Arbitrary Super-Resolution.

Longguang Wang, Yingqian Wang, Zaiping Lin, Jungang Yang, Wei An, Yulan Guo

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Exploring Sparsity in Image Super-Resolution for Efficient Inference.

Longguang Wang, Xiaoyu Dong, Yingqian Wang, Xinyi Ying, Zaiping Lin, Wei An, Yulan Guo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Deep Video Super-Resolution Using HR Optical Flow Estimation.

Longguang Wang, Yulan Guo, Li Liu, Zaiping Lin, Xinpu Deng, Wei An

IEEE Trans. Image Process., 2020

A Constrained Sparse-Representation-Based Spatio-Temporal Anomaly Detector for Moving Targets in Hyperspectral Imagery Sequences.

Zhaoxu Li, Qiang Ling, Jing Wu, Zhengyan Wang, Zaiping Lin

Remote. Sens., 2020

Learning Sparse Masks for Efficient Image Super-Resolution.

Longguang Wang, Xiaoyu Dong, Yingqian Wang, Xinyi Ying, Zaiping Lin, Wei An, Yulan Guo

CoRR, 2020

Learning for Scale-Arbitrary Super-Resolution from Scale-Specific Networks.

Longguang Wang, Yingqian Wang, Zaiping Lin, Jun-Gang Yang, Wei An, Yulan Guo

CoRR, 2020

2019

A Constrained Sparse Representation Model for Hyperspectral Anomaly Detection.

Qiang Ling, Yulan Guo, Zaiping Lin, Wei An

IEEE Trans. Geosci. Remote. Sens., 2019

A Constrained Sparse-Representation-Based Binary Hypothesis Model for Target Detection in Hyperspectral Imagery.

Qiang Ling, Yulan Guo, Zaiping Lin, Li Liu, Wei An

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Infrared Small Target Detection Using a Temporal Variance and Spatial Patch Contrast Filter.

Jinyan Gao, Zaiping Lin, Wei An

IEEE Access, 2019

Learning Parallax Attention for Stereo Image Super-Resolution.

Longguang Wang, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jun-Gang Yang, Wei An, Yulan Guo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Robust Infrared Small Target Detection Using Multiscale Gray and Variance Difference Measures.

Jinyan Gao, Yulan Guo, Zaiping Lin, Wei An, Jonathan Li

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Infrared Small Target Detection Using Multiscale Gray and Variance Difference.

Jinyan Gao, Yulan Guo, Zaiping Lin, Wei An

Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

Kernel Sparse Representation for Anomaly Detection in Hyperspectral Imagery.

Jie Xiong, Qiang Ling, Zaiping Lin, Jing Wu

Proceedings of the 2nd International Conference on Advances in Image Processing, 2018

Learning for Video Super-Resolution Through HR Optical Flow Estimation.

Longguang Wang, Yulan Guo, Zaiping Lin, Xinpu Deng, Wei An

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Object Tracking Using Multiple Features and Adaptive Model Updating.

Qingyong Hu, Yulan Guo, Zaiping Lin, Wei An, Hongwei Cheng

IEEE Trans. Instrum. Meas., 2017

Fast single image super-resolution based on sigmoid transformation.

Longguang Wang, Zaiping Lin, Jinyan Gao, Xinpu Deng, Wei An

CoRR, 2017

Fast multi-frame image super-resolution based on MRF.

Longguang Wang, Zaiping Lin, Xinpu Deng, Wei An

CoRR, 2017

Fast Correlation Tracking Using Low-Dimensional Scale Filter and Local Search Strategy.

Qingyong Hu, Yulan Guo, Zaiping Lin, Xinpu Deng, Wei An

IEEE Access, 2017

FSVO: Semi-direct monocular visual odometry using fixed maps.

Zhiheng Fu, Yulan Guo, Zaiping Lin, Wei An

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

TVPCF: A Spatial and Temporal Filter for Small Target Detection in IR Images.

Jinyan Gao, Zaiping Lin, Yulan Guo, Wei An

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

2016

Robust and Real-Time Object Tracking Using Scale-Adaptive Correlation Filters.

Qingyong Hu, Yulan Guo, Zaiping Lin, Wei An, Hongwei Cheng

Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016