Yunpeng Liu

Orcid: 0009-0000-1004-4996

Affiliations:
  • Chinese Academy of Sciences, Shenyang Institute of Automation, Key Laboratory of Opto-Electronic Information Processing, China


According to our database1, Yunpeng Liu authored at least 28 papers between 2008 and 2024.

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

Timeline

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Bibliography

2024
Relational Representation Learning Network for Cross-Spectral Image Patch Matching.
CoRR, 2024

2023
A general geometric transformation model for line-scan image registration.
EURASIP J. Adv. Signal Process., December, 2023

Feature Interaction Learning Network for Cross-Spectral Image Patch Matching.
IEEE Trans. Image Process., 2023

Efficient Feature Relation Learning Network for Cross-Spectral Image Patch Matching.
IEEE Trans. Geosci. Remote. Sens., 2023

OBBStacking: An Ensemble Method for Remote Sensing Object Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Gradient-Guided Learning Network for Infrared Small Target Detection.
IEEE Geosci. Remote. Sens. Lett., 2023

Prototype Contrastive Learning for Building Extraction From Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2023

Accurate Segmentation of Lumbar Spine Magnetic Resonance Imaging by Deep Neural Network with Size-Adaptive Loss.
Proceedings of the 15th International Conference on Machine Learning and Computing, 2023

2022
Multibranch Feature Difference Learning Network for Cross-Spectral Image Patch Matching.
IEEE Trans. Geosci. Remote. Sens., 2022

Precise and Fast Segmentation of Offshore Farms in High-Resolution SAR Images Based on Model Fusion and Half-Precision Parallel Inference.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Pay Attention to Local Contrast Learning Networks for Infrared Small Target Detection.
IEEE Geosci. Remote. Sens. Lett., 2022

The Geometric Transformation Model of Two Views Based on the Line-Scan Camera Imaging Model.
Proceedings of the Intelligent Robotics and Applications - 15th International Conference, 2022

2021
Automatic lumbar spinal MRI image segmentation with a multi-scale attention network.
Neural Comput. Appl., 2021

Image Saliency Detection via Multi-Feature and Manifold-Space Ranking.
Proceedings of the APIT 2021: 3rd Asia Pacific Information Technology Conference, 2021

2020
DAGN: A Real-Time UAV Remote Sensing Image Vehicle Detection Framework.
IEEE Geosci. Remote. Sens. Lett., 2020

2019
Paraspinal Muscle Segmentation Based on Deep Neural Network.
Sensors, 2019

Supervised Dimensionality Reduction on Grassmannian for Image Set Recognition.
Neural Comput., 2019

Visualization of the Image Geometric Transformation Group Based on Riemannian Manifold.
IEEE Access, 2019

LumNet: A Deep Neural Network for Lumbar Paraspinal Muscles Segmentation.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

2018
Efficient and Robust Direct Image Registration Based on Joint Geometric and Photometric Lie Algebra.
IEEE Trans. Image Process., 2018

Joint Normalization and Dimensionality Reduction on Grassmannian: A Generalized Perspective.
IEEE Signal Process. Lett., 2018

2017
Dimensionality Reduction on Grassmannian via Riemannian Optimization: A Generalized Perspective.
CoRR, 2017

Joint Geometric and Photometric Visual Tracking Based on Lie Group.
Proceedings of the Geometric Science of Information - Third International Conference, 2017

2016
Visualization of the geometric transformation group based on the Riemannian metric.
Proceedings of the 3rd International Conference on Systems and Informatics, 2016

A Radiation Accumulation Based Detection Algorithm for Rectilinear-Motion Infrared Dim Target with Constant Acceleration.
Proceedings of the First International Conference on Multimedia and Image Processing, 2016

2010
Covariance Tracking via Geometric Particle Filtering.
EURASIP J. Adv. Signal Process., 2010

2009
Newton geodesic optimization on special linear group.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Optimization on Lie Manifolds and Projective Tracking.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008


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