Yaxin Peng

Orcid: 0000-0002-2983-555X

According to our database1, Yaxin Peng authored at least 61 papers between 2007 and 2024.

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

Timeline

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Bibliography

2024
A coarse-to-fine unsupervised domain adaptation method based on metric learning.
J. Intell. Fuzzy Syst., January, 2024

Mipha: A Comprehensive Overhaul of Multimodal Assistant with Small Language Models.
CoRR, 2024

Visual Robotic Manipulation with Depth-Aware Pretraining.
CoRR, 2024

Language-Conditioned Robotic Manipulation with Fast and Slow Thinking.
CoRR, 2024

Object-Centric Instruction Augmentation for Robotic Manipulation.
CoRR, 2024

Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Distributional generative adversarial imitation learning with reproducing kernel generalization.
Neural Networks, August, 2023

SRRNet: A Semantic Representation Refinement Network for Image Segmentation.
IEEE Trans. Multim., 2023

Efficient Robust Watermarking Based on Structure-Preserving Quaternion Singular Value Decomposition.
IEEE Trans. Image Process., 2023

Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective.
CoRR, 2023

PMNN: Physical Model-driven Neural Network for solving time-fractional differential equations.
CoRR, 2023

Recognizable Information Bottleneck.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

CP<sup>3</sup>: Channel Pruning Plug-in for Point-Based Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Semisupervised SAR image change detection based on a siamese variational autoencoder.
Inf. Process. Manag., 2022

Scale robust point matching-Net: End-to-end scale point matching using Lie group.
IET Comput. Vis., 2022

Generalization and Computation for Policy Classes of Generative Adversarial Imitation Learning.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Hybrid Atlas Building with Deep Registration Priors.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Label-Guided Auxiliary Training Improves 3D Object Detector.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
A new structure-preserving quaternion QR decomposition method for color image blind watermarking.
Signal Process., 2021

VAN: Voting and Attention Based Network for Unsupervised Medical Image Registration.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Multi-Stage Fusion for Multi-Class 3D Lidar Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

SCARF: A Semantic Constrained Attention Refinement Network for Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
Consensus in Fractional-Order Multi-Agent Systems With Intermittence Sampled Data Over Directed Networks.
IEEE Trans. Circuits Syst. II Express Briefs, 2020

Large-Scale Place Recognition Based on Camera-LiDAR Fused Descriptor.
Sensors, 2020

Efficient Robust Watermarking Based on Quaternion Singular Value Decomposition and Coefficient Pair Selection.
CoRR, 2020

An Improved Deep Polynomial Network Algorithm for Transcranial Sonography-Based Diagnosis of Parkinson's Disease.
Cogn. Comput., 2020

CAB U-Net: An end-to-end category attention boosting algorithm for segmentation.
Comput. Medical Imaging Graph., 2020

A Coarse-to-Fine Generalized-ICP Algorithm With Trimmed Strategy.
IEEE Access, 2020

A Local-to-Global Metric Learning Framework From the Geometric Insight.
IEEE Access, 2020

Robust Dual-Color Watermarking Based on Quaternion Singular Value Decomposition.
IEEE Access, 2020

Label Smoothing Technique for Ordinal Classification in Cloud Assessment.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Defending Against Adversarial Attacks by Suppressing the Largest Eigenvalue of Fisher Information Matrix.
CoRR, 2019

Intrinsic Metric Learning With Subspace Representation.
IEEE Access, 2019

Partial Alignment of Data Sets Based on Fast Intrinsic Feature Match.
Proceedings of the Knowledge Science, Engineering and Management, 2019

Strict Subspace and Label-Space Structure for Domain Adaptation.
Proceedings of the Knowledge Science, Engineering and Management, 2019

Geometric Understanding for Unsupervised Subspace Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Deep Ordinal Classification for Automatic Cloud Assessment.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Asymmetric Local Metric Learning with PSD Constraint for Person Re-identification.
Proceedings of the International Conference on Robotics and Automation, 2019

Manifold Alignment and Distribution Adaptation for Unsupervised Domain Adaptation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

The Adversarial Attack and Detection under the Fisher Information Metric.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Manifold Preserving: An Intrinsic Approach for Semisupervised Distance Metric Learning.
IEEE Trans. Neural Networks Learn. Syst., 2018

Performance Analysis for SVM Combining with Metric Learning.
Neural Process. Lett., 2018

Nonlinear Semi-Supervised Metric Learning Via Multiple Kernels and Local Topology.
Int. J. Neural Syst., 2018

Global Nonlinear Metric Learning by Gluing Local Linear Metrics.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Cloud Cover Assessment in Satellite Images Via Deep Ordinal Classification.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Enhanced Metric Learning via Dempster-Shafer Evidence Theory.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Parallel Hashing Using Representative Points in Hyperoctants.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2016
Virus image classification using multi-scale completed local binary pattern features extracted from filtered images by multi-scale principal component analysis.
Pattern Recognit. Lett., 2016

Compute Karcher means on SO(n) by the geometric conjugate gradient method.
Neurocomputing, 2016

Object(s)-of-interest segmentation for images with inhomogeneous intensities based on curve evolution.
Neurocomputing, 2016

Joint distribution adaptation based TSK Fuzzy logic system for epileptic EEG signal identification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2014
LieTrICP: An improvement of trimmed iterative closest point algorithm.
Neurocomputing, 2014

Spectral unmixing using Lasso screening rules.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013
Affine registration for multidimensional point sets under the framework of Lie group.
J. Electronic Imaging, 2013

Soft shape registration under Lie group frame.
IET Comput. Vis., 2013

Correction of intensity inhomogeneity in SAR images via variational approach.
Proceedings of the 21st International Conference on Geoinformatics, 2013

2011
Iwasawa decomposition: a new approach to 2D affine registration problem.
Pattern Anal. Appl., 2011

A novel classification method based on membership function.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

2010
Variational Color Image Segmentation via Chromaticity-Brightness Decomposition.
Proceedings of the Advances in Multimedia Modeling, 2010

2009
A semi-automatic method for burn scar delineation using a modified Chan-Vese model.
Comput. Geosci., 2009

2007
Variational-based speckle noise removal of SAR imagery.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007


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