Pengfei Zhu

Orcid: 0000-0002-4310-9140

Affiliations:
  • Tianjin University, College of Intelligence and Computing, China


According to our database1, Pengfei Zhu authored at least 157 papers between 2010 and 2024.

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Bibliography

2024
M-RRFS: A Memory-Based Robust Region Feature Synthesizer for Zero-Shot Object Detection.
Int. J. Comput. Vis., October, 2024

Integrated Heterogeneous Graph Attention Network for Incomplete Multi-modal Clustering.
Int. J. Comput. Vis., September, 2024

Multi-Task Credible Pseudo-Label Learning for Semi-Supervised Crowd Counting.
IEEE Trans. Neural Networks Learn. Syst., August, 2024

Multi-View Knowledge Ensemble With Frequency Consistency for Cross-Domain Face Translation.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Multiview Deep Subspace Clustering Networks.
IEEE Trans. Cybern., July, 2024

Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

Stabilizing Multispectral Pedestrian Detection With Evidential Hybrid Fusion.
IEEE Trans. Circuits Syst. Video Technol., April, 2024

Improved generative adversarial network with deep metric learning for missing data imputation.
Neurocomputing, February, 2024

Autoencoder-Based Collaborative Attention GAN for Multi-Modal Image Synthesis.
IEEE Trans. Multim., 2024

Conditional Controllable Image Fusion.
CoRR, 2024

SelfDRSC++: Self-Supervised Learning for Dual Reversed Rolling Shutter Correction.
CoRR, 2024

CKD: Contrastive Knowledge Distillation from A Sample-wise Perspective.
CoRR, 2024

The 2nd Workshop on UAVs in Multimedia: Capturing the World from a New Perspective.
Proceedings of the 2nd Workshop on UAVs in Multimedia: Capturing the World from a New Perspective, 2024

Dynamic Brightness Adaptation for Robust Multi-modal Image Fusion.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Visible and Clear: Finding Tiny Objects in Difference Map.
Proceedings of the Computer Vision - ECCV 2024, 2024

Task-Customized Mixture of Adapters for General Image Fusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Exploring Diverse Representations for Open Set Recognition.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Bi-directional Adapter for Multimodal Tracking.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Collaborative Decision-Reinforced Self-Supervision for Attributed Graph Clustering.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Towards a Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization Perspective.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

OpenMix+: Revisiting Data Augmentation for Open Set Recognition.
IEEE Trans. Circuits Syst. Video Technol., November, 2023

Cross-Drone Transformer Network for Robust Single Object Tracking.
IEEE Trans. Circuits Syst. Video Technol., September, 2023

Multi-head second-order pooling for graph transformer networks.
Pattern Recognit. Lett., March, 2023

Latent Heterogeneous Graph Network for Incomplete Multi-View Learning.
IEEE Trans. Multim., 2023

Robust Multi-Drone Multi-Target Tracking to Resolve Target Occlusion: A Benchmark.
IEEE Trans. Multim., 2023

Confidence-Aware Fusion Using Dempster-Shafer Theory for Multispectral Pedestrian Detection.
IEEE Trans. Multim., 2023

Bi-directional Adapter for Multi-modal Tracking.
CoRR, 2023

MoE-Fusion: Instance Embedded Mixture-of-Experts for Infrared and Visible Image Fusion.
CoRR, 2023

Tuning Pre-trained Model via Moment Probing.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multi-modal Gated Mixture of Local-to-Global Experts for Dynamic Image Fusion.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Weakly-Supervised Grounding for VQA with Dual Visual-Linguistic Interaction.
Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

2022
Unsupervised Spectral Feature Selection With Dynamic Hyper-Graph Learning.
IEEE Trans. Knowl. Data Eng., 2022

Self-Supervised Fully Automatic Learning Machine for Intelligent Retail Container.
IEEE Trans. Instrum. Meas., 2022

Semisupervised Laplace-Regularized Multimodality Metric Learning.
IEEE Trans. Cybern., 2022

Drone-Based RGB-Infrared Cross-Modality Vehicle Detection Via Uncertainty-Aware Learning.
IEEE Trans. Circuits Syst. Video Technol., 2022

Semi-Supervised Image Deraining Using Knowledge Distillation.
IEEE Trans. Circuits Syst. Video Technol., 2022

Multi-granularity episodic contrastive learning for few-shot learning.
Pattern Recognit., 2022

Detection and Tracking Meet Drones Challenge.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Multi-granularity Inter-class Correlation Based Contrastive Learning for Open Set Recognition.
Int. J. Softw. Informatics, 2022

Learning Self-supervised Low-Rank Network for Single-Stage Weakly and Semi-supervised Semantic Segmentation.
Int. J. Comput. Vis., 2022

HS-Diffusion: Learning a Semantic-Guided Diffusion Model for Head Swapping.
CoRR, 2022

Tell Me the Evidence? Dual Visual-Linguistic Interaction for Answer Grounding.
CoRR, 2022

DetFusion: A Detection-driven Infrared and Visible Image Fusion Network.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Label-Efficient Hybrid-Supervised Learning for Medical Image Segmentation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Adaptive and Robust Partition Learning for Person Retrieval With Policy Gradient.
IEEE Trans. Multim., 2021

A Recursive Regularization Based Feature Selection Framework for Hierarchical Classification.
IEEE Trans. Knowl. Data Eng., 2021

Graph Regularized Flow Attention Network for Video Animal Counting From Drones.
IEEE Trans. Image Process., 2021

Multi-Drone-Based Single Object Tracking With Agent Sharing Network.
IEEE Trans. Circuits Syst. Video Technol., 2021

Evolving Fully Automated Machine Learning via Life-Long Knowledge Anchors.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Self-paced hierarchical metric learning (SPHML).
Int. J. Mach. Learn. Cybern., 2021

Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing.
CoRR, 2021

Semi-supervised Single Image Deraining with Discrete Wavelet Transform.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Cross-View Equivariant Auto-Encoder.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Get to the Point: Content Classification of Animated Graphics Interchange Formats with Key-Frame Attention.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021




Adaptive Correlation Filters Feature Fusion Learning for Visual Tracking.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Multi-View Information-Bottleneck Representation Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Single Image Deraining Using Bilateral Recurrent Network.
IEEE Trans. Image Process., 2020

Deep Fuzzy Tree for Large-Scale Hierarchical Visual Classification.
IEEE Trans. Fuzzy Syst., 2020

Hybrid Noise-Oriented Multilabel Learning.
IEEE Trans. Cybern., 2020

Drone Based RGBT Vehicle Detection and Counting: A Challenge.
CoRR, 2020

Vision Meets Drones: Past, Present and Future.
CoRR, 2020

Semi-supervised Learning to Remove Fences from a Single Image.
Proceedings of the Pattern Recognition and Computer Vision, Third Chinese Conference, 2020

Learning from Web Data: Improving Crowd Counting via Semi-Supervised Learning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Progressive Point To Set Metric Learning For Semi-Supervised Few-Shot Classification.
Proceedings of the IEEE International Conference on Image Processing, 2020

Bilateral Recurrent Network for Single Image Deraining.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Multi-label Quadruplet Dictionary Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

SPL-MLL: Selecting Predictable Landmarks for Multi-label Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

Spatial Attention Pyramid Network for Unsupervised Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2020, 2020





ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

RGB-T Crowd Counting from Drone: A Benchmark and MMCCN Network.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Collaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi-Supervised Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
One-Step Multi-View Spectral Clustering.
IEEE Trans. Knowl. Data Eng., 2019

Fuzzy Rough Set Based Feature Selection for Large-Scale Hierarchical Classification.
IEEE Trans. Fuzzy Syst., 2019

Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network.
CoRR, 2019

Multi-view Deep Subspace Clustering Networks.
CoRR, 2019

Self-paced Robust Deep Face Recognition with Label Noise.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Coupled Dictionary Learning for Multi-label Embedding.
Proceedings of the International Joint Conference on Neural Networks, 2019

Spatio-temporal Active Learning for Visual Tracking.
Proceedings of the International Joint Conference on Neural Networks, 2019

Flexible Multi-View Representation Learning for Subspace Clustering.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Self-Attention Relation Network for Few-Shot Learning.
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019



VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019


Multi-task Sparse Regression Metric Learning for Heterogeneous Classification.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Adaptive Graph Fusion for Unsupervised Feature Selection.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Joint Metric Learning on Riemannian Manifold of Global Gaussian Distributions.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Deep Global Generalized Gaussian Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Progressive Image Deraining Networks: A Better and Simpler Baseline.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Multi-label feature selection with missing labels.
Pattern Recognit., 2018

Multi-view label embedding.
Pattern Recognit., 2018

Efficient multi-modal geometric mean metric learning.
Pattern Recognit., 2018

Co-regularized unsupervised feature selection.
Neurocomputing, 2018

Vision Meets Drones: A Challenge.
CoRR, 2018

Robust Covariance Representations With Large Margin Dimensionality Reduction for Visual Classification.
IEEE Access, 2018

Latent Subspace Representation for Multiclass Classification.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Towards Generalized and Efficient Metric Learning on Riemannian Manifold.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

FISH-MML: Fisher-HSIC Multi-View Metric Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Support Vector Metric Learning on Symmetric Positive Definite Manifold.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Generalized Multi-view Unsupervised Feature Selection.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018


VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018



Latent Semantic Aware Multi-View Multi-Label Classification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Flexible Multi-View Dimensionality Co-Reduction.
IEEE Trans. Image Process., 2017

Subspace clustering guided unsupervised feature selection.
Pattern Recognit., 2017

Non-convex regularized self-representation for unsupervised feature selection.
Image Vis. Comput., 2017

Hierarchical Feature Selection with Recursive Regularization.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Multi-view Label Space Dimension Reduction.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Independence regularized multi-label ensemble.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Mixed sparsity regularized multi-view unsupervised feature selection.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Unsupervised feature selection by manifold regularized self-representation.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Semi-Supervised Multi-view Multi-label Classification Based on Nonnegative Matrix Factorization.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Latent Multi-view Subspace Clustering.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Data-Distribution-Aware Fuzzy Rough Set Model and its Application to Robust Classification.
IEEE Trans. Cybern., 2016

Combining neighborhood separable subspaces for classification via sparsity regularized optimization.
Inf. Sci., 2016

Set to Set Visual Tracking.
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

Multi-view Representative and Informative Induced Active Learning.
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

A Self-Representation Induced Classifier.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Robust Multi-label Feature Selection with Missing Labels.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

Unsupervised Subspace Learning via Analysis Dictionary Learning.
Proceedings of the Biometric Recognition - 11th Chinese Conference, 2016

Coupled Dictionary Learning for Unsupervised Feature Selection.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Unsupervised feature selection by regularized self-representation.
Pattern Recognit., 2015

Joint representation and pattern learning for robust face recognition.
Neurocomputing, 2015

Non-convex Regularized Self-representation for Unsupervised Feature Selection.
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, 2015

2014
Image Set-Based Collaborative Representation for Face Recognition.
IEEE Trans. Inf. Forensics Secur., 2014

Multi-granularity distance metric learning via neighborhood granule margin maximization.
Inf. Sci., 2014

Towards a scalable resource-driven approach for detecting repackaged Android applications.
Proceedings of the 30th Annual Computer Security Applications Conference, 2014

Local Generic Representation for Face Recognition with Single Sample per Person.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Exploring Neighborhood Structures with Neighborhood Rough Sets in Classification Learning.
Proceedings of the Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, 2013

Rule extraction from support vector machines based on consistent region covering reduction.
Knowl. Based Syst., 2013

Adaptive neighborhood granularity selection and combination based on margin distribution optimization.
Inf. Sci., 2013

From Point to Set: Extend the Learning of Distance Metrics.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Face recognition based on regularized nearest points between image sets.
Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

2012
A Novel Algorithm for Finding Reducts With Fuzzy Rough Sets.
IEEE Trans. Fuzzy Syst., 2012

Margin distribution based bagging pruning.
Neurocomputing, 2012

Multi-scale Patch Based Collaborative Representation for Face Recognition with Margin Distribution Optimization.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Rule learning for classification based on neighborhood covering reduction.
Inf. Sci., 2011

Large-margin nearest neighbor classifiers via sample weight learning.
Neurocomputing, 2011

A linear subspace learning approach via sparse coding.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Feature Selection via Maximizing Fuzzy Dependency.
Fundam. Informaticae, 2010

Weighted Nearest Neighbor Classification via Maximizing Classification Consistency.
Proceedings of the Rough Sets and Current Trends in Computing, 2010


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