Jianjun Qian

According to our database1, Jianjun Qian authored at least 102 papers between 2008 and 2024.

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

Timeline

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Bibliography

2024
Unified Framework for Faster Clustering via Joint Schatten p-Norm Factorization With Optimal Mean.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Linear Regression Problem Relaxations Solved by Nonconvex ADMM With Convergence Analysis.
IEEE Trans. Circuits Syst. Video Technol., February, 2024

Learning Robust Facial Representation From the View of Diversity and Closeness.
Int. J. Comput. Vis., February, 2024

Learning Structured Relation Embeddings for Fine-Grained Fashion Attribute Recognition.
IEEE Trans. Multim., 2024

Efficient Image Classification via Structured Low-Rank Matrix Factorization Regression.
IEEE Trans. Inf. Forensics Secur., 2024

2023
Generalized Nonconvex Nonsmooth Low-Rank Matrix Recovery Framework With Feasible Algorithm Designs and Convergence Analysis.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Incorporating Linear Regression Problems Into an Adaptive Framework With Feasible Optimizations.
IEEE Trans. Multim., 2023

Cross-View Panorama Image Synthesis.
IEEE Trans. Multim., 2023

OTFace: Hard Samples Guided Optimal Transport Loss for Deep Face Representation.
IEEE Trans. Multim., 2023

Dynamic Group Difference Coding Based on Thermal Infrared Face Image for Fever Screening.
IEEE Trans. Instrum. Meas., 2023

Non-aligned supervision for Real Image Dehazing.
CoRR, 2023

Recurrent Structure Attention Guidance for Depth Super-Resolution.
CoRR, 2023

Structure Flow-Guided Network for Real Depth Super-Resolution.
CoRR, 2023

Scene Graph Masked Variational Autoencoders for 3D Scene Generation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Transformer-based Point Cloud Generation Network.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Graph Spectral Perturbation for 3D Point Cloud Contrastive Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Fashion Label Relation Networks for Attribute Recognition.
Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

Structure Flow-Guided Network for Real Depth Super-resolution.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Recurrent Structure Attention Guidance for Depth Super-resolution.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
CBi-GNN: Cross-Scale Bilateral Graph Neural Network for 3D Object Detection.
IEEE Trans. Intell. Transp. Syst., 2022

Global Convergence Guarantees of (A)GIST for a Family of Nonconvex Sparse Learning Problems.
IEEE Trans. Cybern., 2022

Joint Optimal Transport With Convex Regularization for Robust Image Classification.
IEEE Trans. Cybern., 2022

Cross-view panorama image synthesis with progressive attention GANs.
Pattern Recognit., 2022

RecNet: A Resource-Constraint Aware Neural Network for Used Car Recommendation.
Int. J. Comput. Intell. Syst., 2022

Deep retinex decomposition network for underwater image enhancement.
Comput. Electr. Eng., 2022

Spatial-Channel Mixed Attention Based Network for Remote Heart Rate Estimation.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Unsupervised Domain Adaptation for Point Cloud Semantic Segmentation via Graph Matching.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Generative Subgraph Contrast for Self-Supervised Graph Representation Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Emphasizing Closeness and Diversity Simultaneously for Deep Face Representation.
Proceedings of the Computer Vision - ACCV 2022, 2022

Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Linearity-Aware Subspace Clustering.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Dual robust regression for pattern classification.
Inf. Sci., 2021

Structured discriminative tensor dictionary learning for unsupervised domain adaptation.
Neurocomputing, 2021

Non-significant Information Enhancement Based Attention Network for Face Anti-spoofing.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Robust Recovery of Low Rank Matrix by Nonconvex Rank Regularization.
Proceedings of the Image and Graphics - 11th International Conference, 2021

Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Coarse-to-Fine Attribute Editing for Fashion Images.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

Hierarchical Attentive Upsampling on Input Signals for Remote Heart Rate Estimation.
Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

Unsupervised Domain Adaptive Point Cloud Semantic Segmentation.
Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

2020
Low-Rank Matrix Recovery via Modified Schatten-p Norm Minimization With Convergence Guarantees.
IEEE Trans. Image Process., 2020

Image decomposition based matrix regression with applications to robust face recognition.
Pattern Recognit., 2020

Adaptive feature weighting for robust Lp-norm sparse representation with application to biometric image classification.
Int. J. Mach. Learn. Cybern., 2020

The Devil is in the Detail: Deep Feature Based Disguised Face Recognition Method.
Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

PUI-Net: A Point Cloud Upsampling and Inpainting Network.
Proceedings of the Pattern Recognition and Computer Vision, Third Chinese Conference, 2020

Progressive Point Cloud Deconvolution Generation Network.
Proceedings of the Computer Vision - ECCV 2020, 2020

Lane Detection Combining Details and Integrity: an Advanced Method for Lane Detection.
Proceedings of the ACAI 2020: 3rd International Conference on Algorithms, 2020

2019
Scalable Proximal Jacobian Iteration Method With Global Convergence Analysis for Nonconvex Unconstrained Composite Optimizations.
IEEE Trans. Neural Networks Learn. Syst., 2019

Efficient Recovery of Low-Rank Matrix via Double Nonconvex Nonsmooth Rank Minimization.
IEEE Trans. Neural Networks Learn. Syst., 2019

Obstacle Detection by Fusing Point Clouds and Monocular Image.
Neural Process. Lett., 2019

Structured Discriminative Tensor Dictionary Learning for Unsupervised Domain Adaptation.
CoRR, 2019

Assignment Problem Based Deep Embedding.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

DSFD: Dual Shot Face Detector.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Joint Bayesian guided metric learning for end-to-end face verification.
Neurocomputing, 2018

Episode-Experience Replay Based Tree-Backup Method for Off-Policy Actor-Critic Algorithm.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

2017
Robust Image Regression Based on the Extended Matrix Variate Power Exponential Distribution of Dependent Noise.
IEEE Trans. Neural Networks Learn. Syst., 2017

Robust Nuclear Norm-Based Matrix Regression With Applications to Robust Face Recognition.
IEEE Trans. Image Process., 2017

Nuclear Norm Based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Weighted sparse coding regularized nonconvex matrix regression for robust face recognition.
Inf. Sci., 2017

Nonconvex relaxation based matrix regression for face recognition with structural noise and mixed noise.
Neurocomputing, 2017

Bi-weighted robust matrix regression for face recognition.
Neurocomputing, 2017

Kernel orthogonal Procrustes regression for face recognition across pose.
Neurocomputing, 2017

Recurrent neural network for facial landmark detection.
Neurocomputing, 2017

Object detection via feature fusion based single network.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Ensemble R-FCN for Object Detection.
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2017

Coarse-to-Fine Age Progression Based on Conditional GANs.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2016
Face Recognition With Pose Variations and Misalignment via Orthogonal Procrustes Regression.
IEEE Trans. Image Process., 2016

Tree-Structured Nuclear Norm Approximation With Applications to Robust Face Recognition.
IEEE Trans. Image Process., 2016

Learning discriminative singular value decomposition representation for face recognition.
Pattern Recognit., 2016

Adaptive noise dictionary construction via IRRPCA for face recognition.
Pattern Recognit., 2016

Exploring deep gradient information for biometric image feature representation.
Neurocomputing, 2016

Structural Orthogonal Procrustes Regression for Face Recognition with Pose Variations and Misalignment.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Face alignment with Cascaded Bidirectional LSTM Neural Networks.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Volume measurement based tensor completion.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Robust Face Frontalization in Unconstrained Images.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

2015
Nuclear Norm-Based 2-DPCA for Extracting Features From Images.
IEEE Trans. Neural Networks Learn. Syst., 2015

Matrix Variate Distribution-Induced Sparse Representation for Robust Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2015

Robust nuclear norm regularized regression for face recognition with occlusion.
Pattern Recognit., 2015

Nuclear-L<sub>1</sub> norm joint regression for face reconstruction and recognition with mixed noise.
Pattern Recognit., 2015

Nearest orthogonal matrix representation for face recognition.
Neurocomputing, 2015

Orthogonal Procrustes Problem Based Regression with Application to Face Recognition with Pose Variations.
Proceedings of the Intelligence Science and Big Data Engineering. Image and Video Data Engineering, 2015

Robust Matrix Regression for Illumination and Occlusion Tolerant Face Recognition.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Exploring Deep Gradient Information for Face Recognition.
Proceedings of the Computer Vision - CCF Chinese Conference, 2015

2014
Histogram of visual words based on locally adaptive regression kernels descriptors for image feature extraction.
Neurocomputing, 2014

Integration of multiple orientation and texture information for finger-knuckle-print verification.
Neurocomputing, 2014

Nuclear Norm based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes.
CoRR, 2014

Nuclear Norm Regularized Sparse Coding.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Robust Low-Rank Regularized Regression for Face Recognition with Occlusion.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

Single-Sample Face Recognition via Fusion Variant Dictionary.
Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014

Face Recognition with Image Misalignment via Structure Constraint Coding.
Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014

Nuclear-L<sub>1</sub> Norm Joint Regression for Face Reconstruction and Recognition.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Local Structure-Based Image Decomposition for Feature Extraction With Applications to Face Recognition.
IEEE Trans. Image Process., 2013

Discriminative histograms of local dominant orientation (D-HLDO) for biometric image feature extraction.
Pattern Recognit., 2013

Membership-Degree Preserving Discriminant Analysis with Applications to Face Recognition.
Comput. Math. Methods Medicine, 2013

General Regression and Representation Model for Face Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

Nuclear Norm Based 2DPCA.
Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013

2012
Fuzzy local maximal marginal embedding for feature extraction.
Soft Comput., 2012

Component-based global k-NN classifier for small sample size problems.
Pattern Recognit. Lett., 2012

Force Work Induced Metric for Face Verification.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

2011
A Novel Feature Extraction Method for Face Recognition under Different Lighting Conditions.
Proceedings of the Biometric Recognition - 6th Chinese Conference, 2011

2010
LiSTOMS: A Light-Weighted Self-Tuning Ontology Mapping System.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology - Workshops, Toronto, Canada, August 31, 2010

2008
Main Feature Extraction and Expression for Religious Portrait Thangka Image.
Proceedings of the 9th International Conference for Young Computer Scientists, 2008


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