Chang Tang

According to our database, Chang Tang authored at least 102 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Hierarchical and Dynamic Graph Attention Network for Drug-Disease Association Prediction.

Shuhan Huang, Minhui Wang, Xiao Zheng, Jiajia Chen, Chang Tang

IEEE J. Biomed. Health Informatics, April, 2024

Predicting miRNA-disease association via graph attention learning and multiplex adaptive modality fusion.

Zixiao Jin, Minhui Wang, Chang Tang, Xiao Zheng, Wen Zhang, Xiaofeng Sha, Shan An

Comput. Biol. Medicine, February, 2024

Contrastive Multiview Subspace Clustering of Hyperspectral Images Based on Graph Convolutional Networks.

Renxiang Guan, Zihao Li, Wenxuan Tu, Jun Wang, Yue Liu, Xianju Li, Chang Tang, Ruyi Feng

IEEE Trans. Geosci. Remote. Sens., 2024

Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering.

Suyuan Liu, Junpu Zhang, Yi Wen, Xihong Yang, Siwei Wang, Yi Zhang, En Zhu, Chang Tang, Long Zhao, Xinwang Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Identification of encrypted and malicious network traffic based on one-dimensional convolutional neural network.

Yan Zhou, Huiling Shi, Yanling Zhao, Wei Ding, Jing Han, Hongyang Sun, Xianheng Zhang, Chang Tang, Wei Zhang

J. Cloud Comput., December, 2023

Mutual structure learning for multiple kernel clustering.

Zhenglai Li, Chang Tang, Xiao Zheng, Zhiguo Wan, Kun Sun, Wei Zhang, Xinzhong Zhu

Inf. Sci., November, 2023

A no-reference panoramic image quality assessment with hierarchical perception and color features.

Yun Liu, Xiaohua Yin, Chang Tang, Guanghui Yue, Yan Wang

J. Vis. Commun. Image Represent., September, 2023

A unified feature-spatial cycle consistency fusion framework for robust image matching.

Kun Sun, Jinhong Yu, Wenbing Tao, Xin Li, Chang Tang, Yuhua Qian

Inf. Fusion, September, 2023

Learning an insertion region for advertisement embedding on planes.

Shan An, Fangru Zhou, Mei Yang, Shuang Bai, Chang Tang, Haogang Zhu

Signal Process. Image Commun., August, 2023

Multi-view subspace clustering via adaptive graph learning and late fusion alignment.

Chuan Tang, Kun Sun, Chang Tang, Xiao Zheng, Xinwang Liu, Jun-Jie Huang, Wei Zhang

Neural Networks, August, 2023

Unified One-Step Multi-View Spectral Clustering.

Chang Tang, Zhenglai Li, Jun Wang, Xinwang Liu, Wei Zhang, En Zhu

IEEE Trans. Knowl. Data Eng., June, 2023

Unsupervised feature selection via multiple graph fusion and feature weight learning.

Chang Tang, Xiao Zheng, Wei Zhang, Xinwang Liu, Xinzhong Zhu, En Zhu

Sci. China Inf. Sci., May, 2023

A survivable multipath resource allocation strategy based on fragmentation-sensitive fragmentation-aware in space division multiplexing elastic optical networks.

Huanlin Liu, Chang Tang, Yong Chen, Mingming Tang, Yan Qiu, Haonan Chen, Junling Hu

Comput. Commun., April, 2023

One step multi-view spectral clustering via joint adaptive graph learning and matrix factorization.

Wenqi Yang, Yansu Wang, Chang Tang, Hengjian Tong, Ao Wei, Xia Wu

Neurocomputing, March, 2023

Graph-filtering and high-order bipartite graph based multiview graph clustering.

Xinying Zhao, Weiqing Yan, Jinlai Ren, Jindong Xu, Zhaowei Liu, Guanghui Yue, Chang Tang

Digit. Signal Process., March, 2023

Adaptive Discriminative Regions Learning Network for Remote Sensing Scene Classification.

Chuan Tang, Xiao Zheng, Chang Tang

Sensors, January, 2023

Spatial and Spectral Structure Preserved Self-Representation for Unsupervised Hyperspectral Band Selection.

Chang Tang, Jun Wang, Xiao Zheng, Xinwang Liu, Weiying Xie, Xianju Li, Xinzhong Zhu

IEEE Trans. Geosci. Remote. Sens., 2023

Lightweight Remote Sensing Change Detection With Progressive Feature Aggregation and Supervised Attention.

Zhenglai Li, Chang Tang, Xinwang Liu, Wei Zhang, Jie Dou, Lizhe Wang, Albert Y. Zomaya

IEEE Trans. Geosci. Remote. Sens., 2023

Object Detection in Hyperspectral Image via Unified Spectral-Spatial Feature Aggregation.

Xiao He, Chang Tang, Xinwang Liu, Wei Zhang, Kun Sun, Jiangfeng Xu

IEEE Trans. Geosci. Remote. Sens., 2023

Region-Aware Hierarchical Latent Feature Representation Learning-Guided Clustering for Hyperspectral Band Selection.

Jun Wang, Chang Tang, Xinwang Liu, Wei Zhang, Wanqing Li, Xinzhong Zhu, Lizhe Wang, Albert Y. Zomaya

IEEE Trans. Cybern., 2023

Latent Features Embedded Dynamic Graph Evolution Deep Clustering Network.

Deqiong Ding, Dan Zhuang, Xiaogao Yang, Xiao Zheng, Chang Tang

Signal Process., 2023

Inclusivity induced adaptive graph learning for multi-view clustering.

Xin Zou, Chang Tang, Xiao Zheng, Kun Sun, Wei Zhang, Deqiong Ding

Knowl. Based Syst., 2023

Multi-view clustering via matrix factorization assisted <i>k</i>-means.

Xiao Zheng, Chang Tang, Xinwang Liu, En Zhu

Neurocomputing, 2023

Pixel-Superpixel Contrastive Learning and Pseudo-Label Correction for Hyperspectral Image Clustering.

Renxiang Guan, Zihao Li, Xianju Li, Chang Tang

CoRR, 2023

Contrastive Multi-view Subspace Clustering of Hyperspectral Images based on Graph Convolutional Networks.

Renxiang Guan, Zihao Li, Xianju Li, Chang Tang, Ruyi Feng

CoRR, 2023

MS-Former: Memory-Supported Transformer for Weakly Supervised Change Detection with Patch-Level Annotations.

Zhenglai Li, Chang Tang, Xinwang Liu, Changdong Li, Xianju Li, Wei Zhang

CoRR, 2023

Central Similarity Multi-View Hashing for Multimedia Retrieval.

Jian Zhu, Wen Cheng, Yu Cui, Chang Tang, Yuyang Dai, Yong Li, Lingfang Zeng

CoRR, 2023

Towards Accurate and Reliable Change Detection of Remote Sensing Images via Knowledge Review and Online Uncertainty Estimation.

Zhenglai Li, Chang Tang, Xianju Li, Weiying Xie, Kun Sun, Xinzhong Zhu

CoRR, 2023

DPNET: Dynamic Poly-attention Network for Trustworthy Multi-modal Classification.

Xin Zou, Chang Tang, Xiao Zheng, Zhenglai Li, Xiao He, Shan An, Xinwang Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Multispectral Object Detection via Cross-Modal Conflict-Aware Learning.

Xiao He, Chang Tang, Xin Zou, Wei Zhang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Hierarchical Attention Learning for Multimodal Classification.

Xin Zou, Chang Tang, Wei Zhang, Kun Sun, Liangxiao Jiang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

GCFAgg: Global and Cross-View Feature Aggregation for Multi-View Clustering.

Weiqing Yan, Yuanyang Zhang, Chenlei Lv, Chang Tang, Guanghui Yue, Liang Liao, Weisi Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multi-Level Confidence Learning for Trustworthy Multimodal Classification.

Xiao Zheng, Chang Tang, Zhiguo Wan, Chengyu Hu, Wei Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Consensus Graph Learning for Multi-View Clustering.

Zhenglai Li, Chang Tang, Xinwang Liu, Xiao Zheng, Wei Zhang, En Zhu

IEEE Trans. Multim., 2022

Cross-View Locality Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection.

Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, Jing Zhang, Jian Xiong, Lizhe Wang

IEEE Trans. Knowl. Data Eng., 2022

High-Order Correlation Preserved Incomplete Multi-View Subspace Clustering.

Zhenglai Li, Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, En Zhu

IEEE Trans. Image Process., 2022

Remote Sensing Change Detection via Temporal Feature Interaction and Guided Refinement.

Zhenglai Li, Chang Tang, Lizhe Wang, Albert Y. Zomaya

IEEE Trans. Geosci. Remote. Sens., 2022

DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Discriminative Multi-Scale Deep Features.

Chang Tang, Xinwang Liu, Xiao Zheng, Wanqing Li, Jian Xiong, Lizhe Wang, Albert Y. Zomaya, Antonella Longo

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Spectrum slicing-based fragmentation aware routing and spectrum allocation in elastic optical networks.

Huanlin Liu, Jie Ren, Yong Chen, Junling Hu, Chang Tang, Mingming Tang

Opt. Switch. Netw., 2022

Graph regularized spatial-spectral subspace clustering for hyperspectral band selection.

Jun Wang, Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, En Zhu

Neural Networks, 2022

Enhanced FCN for farmland extraction from remote sensing image.

Jingshan Pan, Zhiqiang Wei, Yuhan Zhao, Yan Zhou, Xunyu Lin, Wei Zhang, Chang Tang

Multim. Tools Appl., 2022

Hyperspectral band selection via region-aware latent features fusion based clustering.

Jun Wang, Chang Tang, Zhenglai Li, Xinwang Liu, Wei Zhang, En Zhu, Lizhe Wang

Inf. Fusion, 2022

Unified K-means coupled self-representation and neighborhood kernel learning for clustering single-cell RNA-sequencing data.

Zheng Li, Chang Tang, Xiao Zheng, Zhenglai Li, Wei Zhang, Lijuan Cao

Neurocomputing, 2022

Accelerate Supercomputing through Cross-Region Interconnection.

Jing Han, Wei Zhang, Huiling Shi, Yan Zhou, Chang Tang, Jingshan Pan

Proceedings of the IEEE Smartworld, 2022

Bipartite Graph-based Discriminative Feature Learning for Multi-View Clustering.

Weiqing Yan, Jindong Xu, Jinglei Liu, Guanghui Yue, Chang Tang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Efficient Multiple Kernel Clustering via Spectral Perturbation.

Chang Tang, Zhenglai Li, Weiqing Yan, Guanghui Yue, Wei Zhang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021

BR$^2$Net: Defocus Blur Detection Via a Bidirectional Channel Attention Residual Refining Network.

Chang Tang, Xinwang Liu, Shan An, Pichao Wang

IEEE Trans. Multim., 2021

Simultaneous Clustering and Optimization for Evolving Datasets.

Yawei Zhao, En Zhu, Xinwang Liu, Chang Tang, Deke Guo, Jianping Yin

IEEE Trans. Knowl. Data Eng., 2021

Global context guided hierarchically residual feature refinement network for defocus blur detection.

Yongping Zhai, Junhua Wang, Jinsheng Deng, Guanghui Yue, Wei Zhang, Chang Tang

Signal Process., 2021

Efficient and Effective Regularized Incomplete Multi-View Clustering.

Xinwang Liu, Miaomiao Li, Chang Tang, Jingyuan Xia, Jian Xiong, Li Liu, Marius Kloft, En Zhu

IEEE Trans. Pattern Anal. Mach. Intell., 2021

A network traffic forecasting method based on SA optimized ARIMA-BP neural network.

Hanyu Yang, Xutao Li, Wenhao Qiang, Yuhan Zhao, Wei Zhang, Chang Tang

Comput. Networks, 2021

Global Context and Enhanced Feature Guided Residual Refinement Network for 3D Cardiovascular Image Segmentation.

Jingjing Liu, Ao Wei, Zhigang Guo, Chang Tang

IEEE Access, 2021

Hyperspectral Band Selection via Spatial-Spectral Weighted Region-wise Multiple Graph Fusion-Based Spectral Clustering.

Chang Tang, Xinwang Liu, En Zhu, Lizhe Wang, Albert Y. Zomaya

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

One Pass Late Fusion Multi-view Clustering.

Xinwang Liu, Li Liu, Qing Liao, Siwei Wang, Yi Zhang, Wenxuan Tu, Chang Tang, Jiyuan Liu, En Zhu

Proceedings of the 38th International Conference on Machine Learning, 2021

Tensor-Based Multi-View Block-Diagonal Structure Diffusion for Clustering Incomplete Multi-View Data.

Zhenglai Li, Chang Tang, Xinwang Liu, Xiao Zheng, Wei Zhang, En Zhu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Localized Simple Multiple Kernel K-means.

Xinwang Liu, Sihang Zhou, Li Liu, Chang Tang, Siwei Wang, Jiyuan Liu, Yi Zhang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Feature Selective Projection with Low-Rank Embedding and Dual Laplacian Regularization.

Chang Tang, Xinwang Liu, Xinzhong Zhu, Jian Xiong, Miaomiao Li, Jingyuan Xia, Xiangke Wang, Lizhe Wang

IEEE Trans. Knowl. Data Eng., 2020

Perceptual objective quality assessment of stereoscopic stitched images.

Weiqing Yan, Guanghui Yue, Yuming Fang, Hua Chen, Chang Tang, Gangyi Jiang

Signal Process., 2020

Shape-optimizing mesh warping method for stereoscopic panorama stitching.

Weiqing Yan, Guanghui Yue, Jindong Xu, Yanwei Yu, Kai Wang, Chang Tang, Xiangrong Tong

Inf. Sci., 2020

No-reference stereoscopic image quality evaluator with segmented monocular features and perceptual binocular features.

Yun Liu, Chang Tang, Zhi Zheng, Liyuan Lin

Neurocomputing, 2020

Unsupervised feature selection via adaptive hypergraph regularized latent representation learning.

Deqiong Ding, Xiaogao Yang, Fei Xia, Tiefeng Ma, Haiyun Liu, Chang Tang

Neurocomputing, 2020

Unsupervised Domain Expansion from Multiple Sources.

Jing Zhang, Wanqing Li, Lu Sheng, Chang Tang, Philip Ogunbona

CoRR, 2020

Joint dictionary and graph learning for unsupervised feature selection.

Deqiong Ding, Fei Xia, Xiaogao Yang, Chang Tang

Appl. Intell., 2020

Single-Cell RNA-Sequencing Data Clustering via Locality Preserving Kernel Matrix Alignment.

Xiao Zheng, Jiajia Chen, Chang Tang, Suqin Zhou

IEEE Access, 2020

Wearable-sensors Based Activity Recognition for Smart Human Healthcare Using Internet of Things.

Ning Hu, Shen Su, Chang Tang, Lulu Wang

Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

R²MRF: Defocus Blur Detection via Recurrently Refining Multi-Scale Residual Features.

Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Kun Sun, Pichao Wang, Lizhe Wang, Albert Y. Zomaya

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

CGD: Multi-View Clustering via Cross-View Graph Diffusion.

Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Zhigang Luo, Lizhe Wang, Wen Gao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning a Joint Affinity Graph for Multiview Subspace Clustering.

Chang Tang, Xinzhong Zhu, Xinwang Liu, Miaomiao Li, Pichao Wang, Changqing Zhang, Lizhe Wang

IEEE Trans. Multim., 2019

Adaptive Hypergraph Embedded Semi-Supervised Multi-Label Image Annotation.

Chang Tang, Xinwang Liu, Pichao Wang, Changqing Zhang, Miaomiao Li, Lizhe Wang

IEEE Trans. Multim., 2019

Late Fusion Incomplete Multi-View Clustering.

Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Lei Wang, Chang Tang, Jianping Yin, Dinggang Shen, Huaimin Wang, Wen Gao

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Unsupervised feature selection via latent representation learning and manifold regularization.

Chang Tang, Meiru Bian, Xinwang Liu, Miaomiao Li, Hua Zhou, Pichao Wang, Hailin Yin

Neural Networks, 2019

Dual graph regularized compact feature representation for unsupervised feature selection.

Shaoyong Li, Chang Tang, Xinwang Liu, Yaping Liu, Jiajia Chen

Neurocomputing, 2019

Diversity and consistency learning guided spectral embedding for multi-view clustering.

Zhenglai Li, Chang Tang, Jiajia Chen, Cheng Wan, Weiqing Yan, Xinwang Liu

Neurocomputing, 2019

Robust Multi-View Clustering With a Unified Weight Learning Paradigm.

Miaomiao Li, Zhenglai Li, Chang Tang, Xinwang Liu, Lulu Wang

IEEE Access, 2019

Multi-view Clustering via Late Fusion Alignment Maximization.

Siwei Wang, Xinwang Liu, En Zhu, Chang Tang, Jiyuan Liu, Jingtao Hu, Jingyuan Xia, Jianping Yin

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Salient Object Detection via Recurrently Aggregating Spatial Attention Weighted Cross-Level Deep Features.

Chang Tang, Xinzhong Zhu, Xinwang Liu, Pichao Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features.

Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang, Albert Y. Zomaya

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Cross-View Local Structure Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection.

Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Efficient and Effective Incomplete Multi-View Clustering.

Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Chang Tang, En Zhu, Jianping Yin, Wen Gao

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Depth Pooling Based Large-Scale 3-D Action Recognition With Convolutional Neural Networks.

Pichao Wang, Wanqing Li, Zhimin Gao, Chang Tang, Philip O. Ogunbona

IEEE Trans. Multim., 2018

Evaluation of Batvox 3.1 under conditions reflecting those of a real forensic voice comparison case (<i>forensic_eval_01</i>).

Cuiling Zhang, Chang Tang

Speech Commun., 2018

Combining ConvNets with hand-crafted features for action recognition based on an HMM-SVM classifier.

Shuang Wang, Yonghong Hou, Zhaoyang Li, Jiarong Dong, Chang Tang

Multim. Tools Appl., 2018

Gene selection for microarray data classification via subspace learning and manifold regularization.

Chang Tang, Lijuan Cao, Xiao Zheng, Minhui Wang

Medical Biol. Eng. Comput., 2018

Robust unsupervised feature selection via dual self-representation and manifold regularization.

Chang Tang, Xinwang Liu, Miaomiao Li, Pichao Wang, Jiajia Chen, Lizhe Wang, Wanqing Li

Knowl. Based Syst., 2018

Consensus learning guided multi-view unsupervised feature selection.

Chang Tang, Jiajia Chen, Xinwang Liu, Miaomiao Li, Pichao Wang, Minhui Wang, Peng Lu

Knowl. Based Syst., 2018

Online human action recognition based on incremental learning of weighted covariance descriptors.

Chang Tang, Wanqing Li, Pichao Wang, Lizhe Wang

Inf. Sci., 2018

Saliency detection via affinity graph learning and weighted manifold ranking.

Xinzhong Zhu, Chang Tang, Pichao Wang, Huiying Xu, Minhui Wang, Jiajia Chen, Jie Tian

Neurocomputing, 2018

Robust graph regularized unsupervised feature selection.

Chang Tang, Xinzhong Zhu, Jiajia Chen, Pichao Wang, Xinwang Liu, Jie Tian

Expert Syst. Appl., 2018

Depth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks.

Pichao Wang, Wanqing Li, Zhimin Gao, Chang Tang, Philip Ogunbona

CoRR, 2018

2017

Salient Object Detection via Weighted Low Rank Matrix Recovery.

Chang Tang, Pichao Wang, Changqing Zhang, Wanqing Li

IEEE Signal Process. Lett., 2017

An effective edge-preserving smoothing method for image manipulation.

Chang Tang, Chunping Hou, Yonghong Hou, Pichao Wang, Wanqing Li

Digit. Signal Process., 2017

Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition with Convolutional Neural Networks.

Pichao Wang, Wanqing Li, Zhimin Gao, Yuyao Zhang, Chang Tang, Philip Ogunbona

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Action Recognition From Depth Maps Using Deep Convolutional Neural Networks.

Pichao Wang, Wanqing Li, Zhimin Gao, Jing Zhang, Chang Tang, Philip O. Ogunbona

IEEE Trans. Hum. Mach. Syst., 2016

A Spectral and Spatial Approach of Coarse-to-Fine Blurred Image Region Detection.

Chang Tang, Jin Wu, Yonghong Hou, Pichao Wang, Wanqing Li

IEEE Signal Process. Lett., 2016

RGB-D-based action recognition datasets: A survey.

Jing Zhang, Wanqing Li, Philip O. Ogunbona, Pichao Wang, Chang Tang

Pattern Recognit., 2016

Salient object detection using color spatial distribution and minimum spanning tree weight.

Chang Tang, Chunping Hou, Pichao Wang, Zhanjie Song

Multim. Tools Appl., 2016

A Large Scale RGB-D Dataset for Action Recognition.

Jing Zhang, Wanqing Li, Pichao Wang, Philip Ogunbona, Song Liu, Chang Tang

Proceedings of the Understanding Human Activities Through 3D Sensors, 2016

Large-scale Isolated Gesture Recognition using Convolutional Neural Networks.

Pichao Wang, Wanqing Li, Song Liu, Zhimin Gao, Chang Tang, Philip Ogunbona

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Deep Convolutional Neural Networks for Action Recognition Using Depth Map Sequences.

Pichao Wang, Wanqing Li, Zhimin Gao, Jing Zhang, Chang Tang, Philip Ogunbona

CoRR, 2015

Online Action Recognition based on Incremental Learning of Weighted Covariance Descriptors.

Chang Tang, Wanqing Li, Chunping Hou, Pichao Wang, Yonghong Hou, Jing Zhang, Philip O. Ogunbona

CoRR, 2015

ConvNets-Based Action Recognition from Depth Maps through Virtual Cameras and Pseudocoloring.

Pichao Wang, Wanqing Li, Zhimin Gao, Chang Tang, Jing Zhang, Philip Ogunbona

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Beyond Covariance: Feature Representation with Nonlinear Kernel Matrices.

Lei Wang, Jianjia Zhang, Luping Zhou, Chang Tang, Wanqing Li

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015