Chunyan Xu

发表

Effective and efficient Grassfinch kernel for SVM classification and its application to recognition based on image set

Du Gen-yuan, Shengli Tian, Qiu Ying-yu, 2016 .

EasyChair Preprint No 1056 Hashing Graph Convolution for Node Classification

Zhen Cui, Chengzhen Li, Chunyan Xu, 2022 .

Temporal Discriminative Micro-Expression Recognition via Graph Contrastive Learning

Zhen Cui, Chunyan Xu, Lingjie Lao, 2022, 2022 26th International Conference on Pattern Recognition (ICPR).

Image auto-annotation via concept interdependency network

Yansheng Lu, Chunyan Xu, Haijiao Xu, 2016, Multimedia Tools and Applications.

Fast subspace clustering by learning projective block diagonal representation

Jun Yu Li, Chunyan Xu, Shuo Chen, 2023, Pattern Recognit..

Joint Bayesian guided metric learning for end-to-end face verification

Jian Yang, LinLin Shen, Di Chen, 2018, Neurocomputing.

Pattern-Affinitive Propagation Across Depth, Surface Normal and Semantic Segmentation

Nicu Sebe, Zhen Cui, Yan Yan, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Scalable Proximal Jacobian Iteration Method With Global Convergence Analysis for Nonconvex Unconstrained Composite Optimizations

Jian Yang, Junbin Gao, Jianjun Qian, 2019, IEEE Transactions on Neural Networks and Learning Systems.

MemNet: A Persistent Memory Network for Image Restoration

Jian Yang, Xiaoming Liu, Ying Tai, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Extended nearest neighbor chain induced instance-weights for SVMs

Jian Yang, Junbin Gao, Fa Zhu, 2016, Pattern Recognit..

Efficient Recovery of Low-Rank Matrix via Double Nonconvex Nonsmooth Rank Minimization

Jian Yang, Bob Zhang, Chen Gong, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Generalized Singular Value Thresholding

Shuicheng Yan, Zhouchen Lin, Chunyan Xu, 2014, AAAI.

Human Parsing with Contextualized Convolutional Neural Network

Shuicheng Yan, Jinhui Tang, Liang Lin, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Low-rank structure preserving for unsupervised feature selection

Jian Yang, Junbin Gao, Wei Zheng, 2018, Neurocomputing.

Convolutional neural networks for hyperspectral image classification

Sen Jia, Shiqi Yu, Chunyan Xu, 2017, Neurocomputing.

Deep hierarchical guidance and regularization learning for end-to-end depth estimation

Jian Yang, Liang Chen, Zhenyu Zhang, 2018, Pattern Recognit..

Progressive Context-Dependent Inference for Object Detection in Remote Sensing Imagery

Zhen Cui, Chunyan Xu, Jian Yang, 2023, IEEE Transactions on Image Processing.

Deep Learning with S-Shaped Rectified Linear Activation Units pdf

Yunchao Wei, Shuicheng Yan, Jiashi Feng, 2015, AAAI.

Joint Task-Recursive Learning for Semantic Segmentation and Depth Estimation

Xiang Li, Jian Yang, Zhen Cui, 2018, ECCV.

Scribble-Supervised Semantic Segmentation Inference

Zhen Cui, Jian Yang, Chunyan Xu, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Progressive Hard-Mining Network for Monocular Depth Estimation

Jian Yang, Zhen Cui, Junbin Gao, 2018, IEEE Transactions on Image Processing.

Prototype-guided Instance matching for multiple pedestrian tracking

Zhen Cui, Wankou Yang, Chunyan Xu, 2023, Neurocomputing.

Cross-Modal Pattern-Propagation for RGB-T Tracking

Ling Zhou, Jian Yang, Tong Zhang, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Normal Dynamics in Videos with Meta Prototype Network

Zhen Cui, Jian Yang, Chunyan Xu, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Localizing Anomalies From Weakly-Labeled Videos

Zhen Cui, Jian Yang, Chunyan Xu, 2020, IEEE Transactions on Image Processing.

Global Information Guided Video Anomaly Detection

Hui Lv, Chunyan Xu, Zhen Cui, 2020, ACM Multimedia.

Hierarchical Semantic Propagation for Object Detection in Remote Sensing Imagery

Jian Yang, Tong Zhang, Chunyan Xu, 2020, IEEE Transactions on Geoscience and Remote Sensing.

Quality-aware pattern diffusion for video object segmentation

Jun Yu Li, Zhen Cui, Chunyan Xu, 2023, Neurocomputing.

Dual-Stream Structured Graph Convolution Network for Skeleton-Based Action Recognition

Jian Yang, Rong Liu, Zhen Cui, 2021, ACM Trans. Multim. Comput. Commun. Appl..

Context-Dependent Diffusion Network for Visual Relationship Detection

Jian Yang, Zhen Cui, Wenming Zheng, 2018, ACM Multimedia.

Joint Task-Recursive Learning for RGB-D Scene Understanding

Zhen Cui, Xiang Li, Jian Yang, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Feature-Attentioned Object Detection in Remote Sensing Imagery

Tong Zhang, Zhen Cui, Dan Wang, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition

Jian Yang, Zhen Cui, Wenming Zheng, 2018, AAAI.

A jointly learned deep embedding for person re-identification

Ping Feng, Tianjiang Wang, Kui Duan, 2019, Neurocomputing.

Instance-Aware Graph Convolutional Network for Multi-Label Classification pdf

Yun Wang, Jian Yang, Tong Zhang, 2020, ArXiv.

Improving Automatic Image Annotation with Google Semantic Link

Haijiao Xu, Yansheng Lu, Peng Pan, 2014, 2014 10th International Conference on Semantics, Knowledge and Grids.

Graph Inference Learning for Semi-supervised Classification pdf

Zhen Cui, Wei Liu, Jian Yang, 2020, ICLR.

Walk-Steered Convolution for Graph Classification

Jian Yang, Zhen Cui, Jiatao Jiang, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Gaussian-Induced Convolution for Graphs

Jian Yang, Zhen Cui, Jiatao Jiang, 2018, AAAI.

When Work Matters: Transforming Classical Network Structures to Graph CNN pdf

Jian Yang, Tong Zhang, Zhen Cui, 2018, ArXiv.

Facial Analysis With a Lie Group Kernel

Shuicheng Yan, Junbin Gao, Tianjiang Wang, 2015, IEEE Transactions on Circuits and Systems for Video Technology.

Si-GCN: Structure-induced Graph Convolution Network for Skeleton-based Action Recognition

Tong Zhang, Jian Yang, Chunyan Xu, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Coupled-learning convolutional neural networks for object recognition

Jian Yang, Junbin Gao, Chunyan Xu, 2017, Multimedia Tools and Applications.

Circulant Tensor Graph Convolutional Network for Text Classification

Zhen Cui, Chunyan Xu, Tong Zhang, 2021, ACPR.

Multi-loss Regularized Deep Neural Network

Shuicheng Yan, Junbin Gao, Wei Zheng, 2016, IEEE Transactions on Circuits and Systems for Video Technology.

Learning Object-Wise Semantic Representation for Detection in Remote Sensing Imagery

Dan Wang, Zhen Cui, Jian Yang, 2019, CVPR Workshops.

Pattern-Structure Diffusion for Multi-Task Learning

Chaoqun Wang, Ling Zhou, Tong Zhang, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Max-margin class incremental learning with mixup augmentation

Zhen Cui, Chunyan Xu, Ke Xu, 2023, International Conference on Graphic and Image Processing.

CVNet: Contour Vibration Network for Building Extraction

Zhen Cui, Chunyan Xu, Xiangwei Zheng, 2022, Computer Vision and Pattern Recognition.

Action-Attending Graphic Neural Network

Jian Yang, Rongrong Ji, Zhen Cui, 2017, IEEE Transactions on Image Processing.

On Selecting Effective Patterns for Fast Support Vector Regression Training

Jian Yang, Junbin Gao, Dacheng Tao, 2018, IEEE Transactions on Neural Networks and Learning Systems.

A deep features based generative model for visual tracking

Ping Feng, Tianjiang Wang, Fang Liu, 2018, Neurocomputing.

Image retrieval based on multi-concept detector and semantic correlation

Yansheng Lu, Gansen Zhao, Chunyan Xu, 2015, Science China Information Sciences.

Markov Random Field for Image Concept Detection

Haijiao Xu, Yansheng Lu, Chunyan Xu, 2014, 2014 Seventh International Symposium on Computational Intelligence and Design.

Bimodal Learning for Multi-concept Image Query

Haijiao Xu, Yansheng Lu, Peng Pan, 2014, 2014 Tenth International Conference on Computational Intelligence and Security.

Learning deep embedding with mini-cluster loss for person re-identification

Tianjiang Wang, Jingjuan Guo, Caihong Yuan, 2019, Multimedia Tools and Applications.

SRNN: Self-regularized neural network

Jian Yang, Hanjiang Lai, Shuicheng Yan, 2018, Neurocomputing.

Attention-Aware Noisy Label Learning for Image Classification pdf

Chunyan Xu, Junsong Yuan, Zhenzhen Wang, 2020, ArXiv.

UP-CNN: Un-pooling augmented convolutional neural network

Jian Yang, LinLin Shen, Hanjiang Lai, 2017, Pattern Recognit. Lett..

Complementary Random Walk: A New Perspective on Graph Embedding

Chunyan Xu, Tong Zhang, Guangyu Li, 2022, CSAE.

Deep Recurrent Regression for Facial Landmark Detection

Hanjiang Lai, Shuicheng Yan, Jiashi Feng, 2015, IEEE Transactions on Circuits and Systems for Video Technology.

Discriminative Analysis for Symmetric Positive Definite Matrices on Lie Groups

Shuicheng Yan, Junbin Gao, Wei Zheng, 2015, IEEE Transactions on Circuits and Systems for Video Technology.

Direction-induced convolution for point cloud analysis

Zhen Cui, Chunyan Xu, Chunlong Hu, 2021, Multimedia Systems.

Spatial Transformer Point Convolution

Zhen Cui, Jian Yang, Chunyan Xu, 2020, ArXiv.

Combining Convolutional Neural Network and Markov Random Field for Semantic Image Retrieval

Xiaodi Huang, Changqin Huang, Haijiao Xu, 2018, Adv. Multim..

Large-scale semantic web image retrieval using bimodal deep learning techniques

Yong Tang, Jia Zhu, Changqin Huang, 2018, Inf. Sci..

Variational Pathway Reasoning for EEG Emotion Recognition

Wenming Zheng, Jian Yang, Tong Zhang, 2020, AAAI.

Spectral Filter Tracking

Zhen Cui, Jian Yang, Wenming Zheng, 2017, IEEE Transactions on Image Processing.

Sparse representation combined with context information for visual tracking

Ping Feng, Tianjiang Wang, Fang Liu, 2017, Neurocomputing.

Visual Micro-Pattern Propagation

Zhen Cui, Chunyan Xu, Jian Yang, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A graph-based interpretability method for deep neural networks

Zhen Cui, Chunyan Xu, Xiangwei Zheng, 2023, Neurocomputing.