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2020 – today
- 2025
- [j89]Kaiyi Xu, Minhui Wang, Xin Zou
, Jingjing Liu, Ao Wei, Jiajia Chen, Chang Tang:
HSTrans: Homogeneous substructures transformer for predicting frequencies of drug-side effects. Neural Networks 181: 106779 (2025) - 2024
- [j88]Zixiao Jin, Minhui Wang, Chang Tang, Xiao Zheng, Wen Zhang, Xiaofeng Sha, Shan An:
Predicting miRNA-disease association via graph attention learning and multiplex adaptive modality fusion. Comput. Biol. Medicine 169: 107904 (2024) - [j87]Wei Feng
Hyperspectral band selection via region-wise latent feature fusion and graph filter embedded subspace clustering. Eng. Appl. Artif. Intell. 132: 107911 (2024) - [j86]Guanghao Yin
Token-disentangling Mutual Transformer for multimodal emotion recognition. Eng. Appl. Artif. Intell. 133: 108348 (2024) - [j85]Zixiao Jin
Drug side effects prediction via cross attention learning and feature aggregation. Expert Syst. Appl. 248: 123346 (2024) - [j84]Wenqi Yang, Minhui Wang, Chang Tang
Trustworthy multi-view clustering via alternating generative adversarial representation learning and fusion. Inf. Fusion 107: 102323 (2024) - [j83]Guanghui Yue, Guibin Zhuo, Weiqing Yan, Tianwei Zhou
Boundary uncertainty aware network for automated polyp segmentation. Neural Networks 170: 390-404 (2024) - [j82]Xiaogao Yang, Deqiong Ding, Fei Xia, Dan Zhuang, Chang Tang:
Cube is a good form: Hyperspectral band selection via multi-dimensional and high-order structure preserved clustering. Neural Networks 179: 106531 (2024) - [j81]Weixuan Liang
On the Consistency and Large-Scale Extension of Multiple Kernel Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6935-6947 (2024) - [j80]Jian Li, Chuankun Li, Xiao Zheng, Xinwang Liu, Chang Tang:
Global Context Relation-Guided Feature Aggregation Network for Salient Object Detection in Optical Remote Sensing Images. Remote. Sens. 16(16): 2978 (2024) - [j79]Weiqing Yan
PiSFANet: Pillar Scale-Aware Feature Aggregation Network for Real-Time 3D Pedestrian Detection. IEEE Signal Process. Lett. 31: 2000-2004 (2024) - [j78]Jian Zhu
Boosted Curriculum Multi-View Hashing for Multimedia Retrieval. IEEE Signal Process. Lett. 31: 2065-2069 (2024) - [j77]Weiqing Yan
Diversity-Induced Bipartite Graph Fusion for Multiview Graph Clustering. IEEE Trans. Emerg. Top. Comput. Intell. 8(3): 2592-2601 (2024) - [j76]Renxiang Guan
Contrastive Multiview Subspace Clustering of Hyperspectral Images Based on Graph Convolutional Networks. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j75]Zhenglai Li
MS-Former: Memory-Supported Transformer for Weakly Supervised Change Detection With Patch-Level Annotations. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j74]Qingren Yao
End-to-End Hyperspectral Image Change Detection Based on Band Selection. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j73]Dan Yang
A Portable EIT System for Gesture Recognition With Feature Selection and ANN Implantation. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [j72]Shuhan Huang
Hierarchical and Dynamic Graph Attention Network for Drug-Disease Association Prediction. IEEE J. Biomed. Health Informatics 28(4): 2416-2427 (2024) - [j71]Xin Zou, Xiao He, Xiao Zheng, Wei Zhang, Jiajia Chen, Chang Tang:
DAI-Net: Dual Adaptive Interaction Network for Coordinated Medication Recommendation. IEEE J. Biomed. Health Informatics 28(10): 6201-6211 (2024) - [j70]Weiqing Yan
High-Order Structural Relation Distillation Networks From LiDAR to Monocular Image 3D Detectors. IEEE Trans. Intell. Veh. 9(2): 3593-3604 (2024) - [j69]Jun Wang
Fast Approximated Multiple Kernel K-Means. IEEE Trans. Knowl. Data Eng. 36(11): 6171-6180 (2024) - [j68]Jun Wang
Multiple Kernel Clustering With Adaptive Multi-Scale Partition Selection. IEEE Trans. Knowl. Data Eng. 36(11): 6641-6652 (2024) - [j67]Wenqi Yang, Chang Tang, Xiao Zheng, Xinzhong Zhu, Xinwang Liu:
Eigenvalue Ratio Inspired Partition Learning and Fusion for Multiple Kernel Clustering. IEEE Trans. Knowl. Data Eng. 36(12): 8135-8147 (2024) - [j66]Yanran Zhu, Xiao He, Chang Tang, Xinwang Liu, Yuanyuan Liu, Kunlun He:
Multi-View Adaptive Fusion Network for Spatially Resolved Transcriptomics Data Clustering. IEEE Trans. Knowl. Data Eng. 36(12): 8889-8900 (2024) - [j65]Jun Wang
Efficient and Effective One-Step Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12224-12235 (2024) - [c31]Suyuan Liu, Junpu Zhang, Yi Wen, Xihong Yang, Siwei Wang, Yi Zhang, En Zhu, Chang Tang, Long Zhao, Xinwang Liu:
Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering. AAAI 2024: 14017-14025 - [c30]Renxiang Guan, Zihao Li, Xianju Li, Chang Tang:
Pixel-Superpixel Contrastive Learning and Pseudo-Label Correction for Hyperspectral Image Clustering. ICASSP 2024: 6795-6799 - [c29]Jingxin Wang, Renxiang Guan, Kainan Gao, Zihao Li, Hao Li, Xianju Li, Chang Tang:
Multi-level Graph Subspace Contrastive Learning for Hyperspectral Image Clustering. IJCNN 2024: 1-8 - [c28]Dayu Hu
Reliable Attribute-missing Multi-view Clustering with Instance-level and feature-level Cooperative Imputation. ACM Multimedia 2024: 1456-1466 - [c27]Xiao He
Heterogeneous Graph Guided Contrastive Learning for Spatially Resolved Transcriptomics Data. ACM Multimedia 2024: 8287-8295 - [i18]Jingxin Wang, Renxiang Guan, Kainan Gao, Zihao Li, Hao Li, Xianju Li, Chang Tang:
Multi-level Graph Subspace Contrastive Learning for Hyperspectral Image Clustering. CoRR abs/2404.05211 (2024) - [i17]Tingzhang Luo, Yichao Liu, Yuanyuan Liu, Andi Zhang, Xin Wang, Chang Tang, Zhe Chen:
Learning to Discover Generalized Facial Expressions. CoRR abs/2409.20098 (2024) - [i16]Xin Zou, Yizhou Wang, Yibo Yan, Sirui Huang, Kening Zheng, Junkai Chen, Chang Tang, Xuming Hu:
Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models. CoRR abs/2410.03577 (2024) - 2023
- [j64]Chang Tang, Xiao Zheng, Wei Zhang, Xinwang Liu, Xinzhong Zhu, En Zhu:
Unsupervised feature selection via multiple graph fusion and feature weight learning. Sci. China Inf. Sci. 66(5) (2023) - [j63]Huanlin Liu
A survivable multipath resource allocation strategy based on fragmentation-sensitive fragmentation-aware in space division multiplexing elastic optical networks. Comput. Commun. 204: 78-88 (2023) - [j62]Xinying Zhao
Graph-filtering and high-order bipartite graph based multiview graph clustering. Digit. Signal Process. 133: 103847 (2023) - [j61]Wenqi Yang, Yansu Wang, Chang Tang, Hengjian Tong, Ao Wei, Xia Wu:
One step multi-view spectral clustering via joint adaptive graph learning and matrix factorization. Neurocomputing 524: 95-105 (2023) - [j60]Xiao Zheng, Chang Tang, Xinwang Liu, En Zhu:
Multi-view clustering via matrix factorization assisted k-means. Neurocomputing 534: 45-54 (2023) - [j59]Kun Sun
A unified feature-spatial cycle consistency fusion framework for robust image matching. Inf. Fusion 97: 101810 (2023) - [j58]Zhenglai Li
Mutual structure learning for multiple kernel clustering. Inf. Sci. 647: 119445 (2023) - [j57]Yan Zhou, Huiling Shi, Yanling Zhao, Wei Ding, Jing Han, Hongyang Sun, Xianheng Zhang, Chang Tang, Wei Zhang:
Identification of encrypted and malicious network traffic based on one-dimensional convolutional neural network. J. Cloud Comput. 12(1): 53 (2023) - [j56]Yun Liu, Xiaohua Yin
A no-reference panoramic image quality assessment with hierarchical perception and color features. J. Vis. Commun. Image Represent. 95: 103885 (2023) - [j55]Xin Zou
Inclusivity induced adaptive graph learning for multi-view clustering. Knowl. Based Syst. 267: 110424 (2023) - [j54]Chuan Tang
Multi-view subspace clustering via adaptive graph learning and late fusion alignment. Neural Networks 165: 333-343 (2023) - [j53]Chuan Tang
Adaptive Discriminative Regions Learning Network for Remote Sensing Scene Classification. Sensors 23(2): 773 (2023) - [j52]Deqiong Ding, Dan Zhuang, Xiaogao Yang, Xiao Zheng, Chang Tang:
Latent Features Embedded Dynamic Graph Evolution Deep Clustering Network. Signal Process. 205: 108892 (2023) - [j51]Shan An, Fangru Zhou, Mei Yang, Shuang Bai, Chang Tang, Haogang Zhu
Learning an insertion region for advertisement embedding on planes. Signal Process. Image Commun. 116: 116963 (2023) - [j50]Jun Wang
Region-Aware Hierarchical Latent Feature Representation Learning-Guided Clustering for Hyperspectral Band Selection. IEEE Trans. Cybern. 53(8): 5250-5263 (2023) - [j49]Xiao He
Object Detection in Hyperspectral Image via Unified Spectral-Spatial Feature Aggregation. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j48]Zhenglai Li
Lightweight Remote Sensing Change Detection With Progressive Feature Aggregation and Supervised Attention. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j47]Chang Tang
Spatial and Spectral Structure Preserved Self-Representation for Unsupervised Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j46]Chang Tang
Unified One-Step Multi-View Spectral Clustering. IEEE Trans. Knowl. Data Eng. 35(6): 6449-6460 (2023) - [c26]Xiao Zheng, Chang Tang, Zhiguo Wan, Chengyu Hu, Wei Zhang:
Multi-Level Confidence Learning for Trustworthy Multimodal Classification. AAAI 2023: 11381-11389 - [c25]Jian Zhu, Wen Cheng, Yu Cui, Chang Tang, Yuyang Dai, Yong Li, Lingfang Zeng:
Central Similarity Multi-view Hashing for Multimedia Retrieval. APWeb-WAIM (2) 2023: 486-500 - [c24]Weiqing Yan, Yuanyang Zhang, Chenlei Lv, Chang Tang, Guanghui Yue, Liang Liao, Weisi Lin:
GCFAgg: Global and Cross-View Feature Aggregation for Multi-View Clustering. CVPR 2023: 19863-19872 - [c23]Xin Zou
Hierarchical Attention Learning for Multimodal Classification. ICME 2023: 936-941 - [c22]Xiao He
Multispectral Object Detection via Cross-Modal Conflict-Aware Learning. ACM Multimedia 2023: 1465-1474 - [c21]Xin Zou
DPNET: Dynamic Poly-attention Network for Trustworthy Multi-modal Classification. ACM Multimedia 2023: 3550-3559 - [i15]Weiqing Yan, Yuanyang Zhang, Chenlei Lv, Chang Tang, Guanghui Yue, Liang Liao, Weisi Lin:
GCFAgg: Global and Cross-view Feature Aggregation for Multi-view Clustering. CoRR abs/2305.06799 (2023) - [i14]Zhenglai Li, Chang Tang, Xianju Li, Weiying Xie, Kun Sun, Xinzhong Zhu:
Towards Accurate and Reliable Change Detection of Remote Sensing Images via Knowledge Review and Online Uncertainty Estimation. CoRR abs/2305.19513 (2023) - [i13]Xiao He, Chang Tang, Xinwang Liu, Wei Zhang, Kun Sun, Jiangfeng Xu:
Object Detection in Hyperspectral Image via Unified Spectral-Spatial Feature Aggregation. CoRR abs/2306.08370 (2023) - [i12]Jian Zhu, Wen Cheng, Yu Cui, Chang Tang, Yuyang Dai, Yong Li, Lingfang Zeng:
Central Similarity Multi-View Hashing for Multimedia Retrieval. CoRR abs/2308.13774 (2023) - [i11]Zhenglai Li, Chang Tang, Xinwang Liu, Changdong Li, Xianju Li, Wei Zhang:
MS-Former: Memory-Supported Transformer for Weakly Supervised Change Detection with Patch-Level Annotations. CoRR abs/2311.09726 (2023) - [i10]Renxiang Guan
Contrastive Multi-view Subspace Clustering of Hyperspectral Images based on Graph Convolutional Networks. CoRR abs/2312.06068 (2023) - [i9]Renxiang Guan
Pixel-Superpixel Contrastive Learning and Pseudo-Label Correction for Hyperspectral Image Clustering. CoRR abs/2312.09630 (2023) - 2022
- [j45]Zheng Li, Chang Tang, Xiao Zheng, Zhenglai Li, Wei Zhang, Lijuan Cao:
Unified K-means coupled self-representation and neighborhood kernel learning for clustering single-cell RNA-sequencing data. Neurocomputing 501: 715-726 (2022) - [j44]Jun Wang
Hyperspectral band selection via region-aware latent features fusion based clustering. Inf. Fusion 79: 162-173 (2022) - [j43]Jingshan Pan
Enhanced FCN for farmland extraction from remote sensing image. Multim. Tools Appl. 81(26): 38123-38150 (2022) - [j42]Jun Wang
Graph regularized spatial-spectral subspace clustering for hyperspectral band selection. Neural Networks 153: 292-302 (2022) - [j41]Huanlin Liu, Jie Ren, Yong Chen, Junling Hu, Chang Tang, Mingming Tang:
Spectrum slicing-based fragmentation aware routing and spectrum allocation in elastic optical networks. Opt. Switch. Netw. 45: 100673 (2022) - [j40]Chang Tang
DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Discriminative Multi-Scale Deep Features. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 955-968 (2022) - [j39]Zhenglai Li
Remote Sensing Change Detection via Temporal Feature Interaction and Guided Refinement. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [j38]Zhenglai Li
High-Order Correlation Preserved Incomplete Multi-View Subspace Clustering. IEEE Trans. Image Process. 31: 2067-2080 (2022) - [j37]Chang Tang
Cross-View Locality Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection. IEEE Trans. Knowl. Data Eng. 34(10): 4705-4716 (2022) - [j36]Zhenglai Li
Consensus Graph Learning for Multi-View Clustering. IEEE Trans. Multim. 24: 2461-2472 (2022) - [c20]Chang Tang, Zhenglai Li, Weiqing Yan, Guanghui Yue, Wei Zhang:
Efficient Multiple Kernel Clustering via Spectral Perturbation. ACM Multimedia 2022: 1603-1611 - [c19]Weiqing Yan, Jindong Xu, Jinglei Liu, Guanghui Yue, Chang Tang:
Bipartite Graph-based Discriminative Feature Learning for Multi-View Clustering. ACM Multimedia 2022: 3403-3411 - [c18]Jing Han, Wei Zhang, Huiling Shi, Yan Zhou, Chang Tang, Jingshan Pan:
Accelerate Supercomputing through Cross-Region Interconnection. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 1768-1773 - 2021
- [j35]Jingjing Liu, Ao Wei, Zhigang Guo, Chang Tang
Global Context and Enhanced Feature Guided Residual Refinement Network for 3D Cardiovascular Image Segmentation. IEEE Access 9: 155861-155870 (2021) - [j34]Hanyu Yang, Xutao Li
A network traffic forecasting method based on SA optimized ARIMA-BP neural network. Comput. Networks 193: 108102 (2021) - [j33]Xinwang Liu
Efficient and Effective Regularized Incomplete Multi-View Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 43(8): 2634-2646 (2021) - [j32]Yongping Zhai, Junhua Wang, Jinsheng Deng, Guanghui Yue, Wei Zhang, Chang Tang
Global context guided hierarchically residual feature refinement network for defocus blur detection. Signal Process. 183: 107996 (2021) - [j31]Yawei Zhao
Simultaneous Clustering and Optimization for Evolving Datasets. IEEE Trans. Knowl. Data Eng. 33(1): 259-270 (2021) - [j30]Chang Tang
BR$^2$Net: Defocus Blur Detection Via a Bidirectional Channel Attention Residual Refining Network. IEEE Trans. Multim. 23: 624-635 (2021) - [c17]Xinwang Liu, Sihang Zhou, Li Liu, Chang Tang, Siwei Wang
Localized Simple Multiple Kernel K-means. ICCV 2021: 9273-9281 - [c16]Zhenglai Li, Chang Tang
Tensor-Based Multi-View Block-Diagonal Structure Diffusion for Clustering Incomplete Multi-View Data. ICME 2021: 1-6 - [c15]Xinwang Liu, Li Liu, Qing Liao, Siwei Wang, Yi Zhang, Wenxuan Tu, Chang Tang, Jiyuan Liu, En Zhu:
One Pass Late Fusion Multi-view Clustering. ICML 2021: 6850-6859 - [c14]Chang Tang, Xinwang Liu, En Zhu, Lizhe Wang, Albert Y. Zomaya:
Hyperspectral Band Selection via Spatial-Spectral Weighted Region-wise Multiple Graph Fusion-Based Spectral Clustering. IJCAI 2021: 3038-3044 - 2020
- [j29]Xiao Zheng
Single-Cell RNA-Sequencing Data Clustering via Locality Preserving Kernel Matrix Alignment. IEEE Access 8: 201577-201594 (2020) - [j28]Deqiong Ding, Fei Xia, Xiaogao Yang, Chang Tang
Joint dictionary and graph learning for unsupervised feature selection. Appl. Intell. 50(5): 1379-1397 (2020) - [j27]Deqiong Ding, Xiaogao Yang, Fei Xia, Tiefeng Ma
Unsupervised feature selection via adaptive hypergraph regularized latent representation learning. Neurocomputing 378: 79-97 (2020) - [j26]Yun Liu
No-reference stereoscopic image quality evaluator with segmented monocular features and perceptual binocular features. Neurocomputing 405: 126-137 (2020) - [j25]Weiqing Yan
Shape-optimizing mesh warping method for stereoscopic panorama stitching. Inf. Sci. 511: 58-73 (2020) - [j24]Weiqing Yan
Perceptual objective quality assessment of stereoscopic stitched images. Signal Process. 172: 107541 (2020) - [j23]Chang Tang
Feature Selective Projection with Low-Rank Embedding and Dual Laplacian Regularization. IEEE Trans. Knowl. Data Eng. 32(9): 1747-1760 (2020) - [c13]Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Zhigang Luo, Lizhe Wang, Wen Gao:
CGD: Multi-View Clustering via Cross-View Graph Diffusion. AAAI 2020: 5924-5931 - [c12]Chang Tang, Xinwang Liu, Xinzhong Zhu, En Zhu, Kun Sun, Pichao Wang, Lizhe Wang, Albert Y. Zomaya:
R²MRF: Defocus Blur Detection via Recurrently Refining Multi-Scale Residual Features. AAAI 2020: 12063-12070 - [c11]Ning Hu, Shen Su, Chang Tang, Lulu Wang:
Wearable-sensors Based Activity Recognition for Smart Human Healthcare Using Internet of Things. IWCMC 2020: 1909-1915 - [i8]Jing Zhang, Wanqing Li, Lu Sheng, Chang Tang, Philip Ogunbona:
Unsupervised Domain Expansion from Multiple Sources. CoRR abs/2005.12544 (2020)
2010 – 2019
- 2019
- [j22]Miaomiao Li
Robust Multi-View Clustering With a Unified Weight Learning Paradigm. IEEE Access 7: 177965-177973 (2019) - [j21]Shaoyong Li
Dual graph regularized compact feature representation for unsupervised feature selection. Neurocomputing 331: 77-96 (2019) - [j20]Zhenglai Li, Chang Tang
Diversity and consistency learning guided spectral embedding for multi-view clustering. Neurocomputing 370: 128-139 (2019) - [j19]Chang Tang
Unsupervised feature selection via latent representation learning and manifold regularization. Neural Networks 117: 163-178 (2019) - [j18]Xinwang Liu
Late Fusion Incomplete Multi-View Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 41(10): 2410-2423 (2019) - [j17]Chang Tang
Learning a Joint Affinity Graph for Multiview Subspace Clustering. IEEE Trans. Multim. 21(7): 1724-1736 (2019) - [j16]Chang Tang
Adaptive Hypergraph Embedded Semi-Supervised Multi-Label Image Annotation. IEEE Trans. Multim. 21(11): 2837-2849 (2019) - [c10]Xinwang Liu, Xinzhong Zhu, Miaomiao Li, Chang Tang, En Zhu, Jianping Yin, Wen Gao:
Efficient and Effective Incomplete Multi-View Clustering. AAAI 2019: 4392-4399 - [c9]Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang:
Cross-View Local Structure Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection. AAAI 2019: 5101-5108 - [c8]Chang Tang
DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features. CVPR 2019: 2700-2709 - [c7]Chang Tang
Salient Object Detection via Recurrently Aggregating Spatial Attention Weighted Cross-Level Deep Features. ICME 2019: 1546-1551 - [c6]Siwei Wang
Multi-view Clustering via Late Fusion Alignment Maximization. IJCAI 2019: 3778-3784 - [i7]Yawei Zhao, En Zhu, Xinwang Liu, Chang Tang, Deke Guo, Jianping Yin:
Simultaneous Clustering and Optimization for Evolving Datasets. CoRR abs/1908.01384 (2019) - 2018
- [j15]Chang Tang
Robust graph regularized unsupervised feature selection. Expert Syst. Appl. 96: 64-76 (2018) - [j14]Xinzhong Zhu, Chang Tang
Saliency detection via affinity graph learning and weighted manifold ranking. Neurocomputing 312: 239-250 (2018) - [j13]Chang Tang
Online human action recognition based on incremental learning of weighted covariance descriptors. Inf. Sci. 467: 219-237 (2018) - [j12]Chang Tang
Robust unsupervised feature selection via dual self-representation and manifold regularization. Knowl. Based Syst. 145: 109-120 (2018) - [j11]Chang Tang
Consensus learning guided multi-view unsupervised feature selection. Knowl. Based Syst. 160: 49-60 (2018) - [j10]Chang Tang
Gene selection for microarray data classification via subspace learning and manifold regularization. Medical Biol. Eng. Comput. 56(7): 1271-1284 (2018) - [j9]Shuang Wang, Yonghong Hou, Zhaoyang Li, Jiarong Dong, Chang Tang
Combining ConvNets with hand-crafted features for action recognition based on an HMM-SVM classifier. Multim. Tools Appl. 77(15): 18983-18998 (2018) - [j8]Cuiling Zhang, Chang Tang:
Evaluation of Batvox 3.1 under conditions reflecting those of a real forensic voice comparison case (forensic_eval_01). Speech Commun. 100: 13-17 (2018) - [j7]Pichao Wang
Depth Pooling Based Large-Scale 3-D Action Recognition With Convolutional Neural Networks. IEEE Trans. Multim. 20(5): 1051-1061 (2018) - [i6]Pichao Wang, Wanqing Li, Zhimin Gao, Chang Tang, Philip Ogunbona
Depth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks. CoRR abs/1804.01194 (2018) - 2017
- [j6]Chang Tang
An effective edge-preserving smoothing method for image manipulation. Digit. Signal Process. 63: 10-24 (2017) - [j5]Chang Tang
Salient Object Detection via Weighted Low Rank Matrix Recovery. IEEE Signal Process. Lett. 24(4): 490-494 (2017) - [c5]Pichao Wang, Wanqing Li
Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition with Convolutional Neural Networks. CVPR 2017: 416-425 - [i5]Pichao Wang, Wanqing Li, Song Liu, Zhimin Gao, Chang Tang, Philip Ogunbona
Large-scale Isolated Gesture Recognition Using Convolutional Neural Networks. CoRR abs/1701.01814 (2017) - [i4]Pichao Wang, Wanqing Li, Zhimin Gao, Yuyao Zhang, Chang Tang, Philip Ogunbona
Scene Flow to Action Map: A New Representation for RGB-D based Action Recognition with Convolutional Neural Networks. CoRR abs/1702.08652 (2017) - 2016
- [j4]Chang Tang
Salient object detection using color spatial distribution and minimum spanning tree weight. Multim. Tools Appl. 75(12): 6963-6978 (2016) - [j3]Jing Zhang
RGB-D-based action recognition datasets: A survey. Pattern Recognit. 60: 86-105 (2016) - [j2]Chang Tang
A Spectral and Spatial Approach of Coarse-to-Fine Blurred Image Region Detection. IEEE Signal Process. Lett. 23(11): 1652-1656 (2016) - [j1]Pichao Wang, Wanqing Li
Action Recognition From Depth Maps Using Deep Convolutional Neural Networks. IEEE Trans. Hum. Mach. Syst. 46(4): 498-509 (2016) - [c4]Pichao Wang, Wanqing Li
Large-scale Isolated Gesture Recognition using Convolutional Neural Networks. ICPR 2016: 7-12 - [c3]Jing Zhang
A Large Scale RGB-D Dataset for Action Recognition. UHA3DS@ICPR 2016: 101-114 - [i3]Jing Zhang, Wanqing Li, Philip O. Ogunbona
RGB-D-based Action Recognition Datasets: A Survey. CoRR abs/1601.05511 (2016) - 2015
- [c2]Lei Wang, Jianjia Zhang, Luping Zhou
Beyond Covariance: Feature Representation with Nonlinear Kernel Matrices. ICCV 2015: 4570-4578 - [c1]Pichao Wang, Wanqing Li
ConvNets-Based Action Recognition from Depth Maps through Virtual Cameras and Pseudocoloring. ACM Multimedia 2015: 1119-1122 - [i2]Pichao Wang, Wanqing Li, Zhimin Gao, Jing Zhang, Chang Tang, Philip Ogunbona
Deep Convolutional Neural Networks for Action Recognition Using Depth Map Sequences. CoRR abs/1501.04686 (2015) - [i1]Chang Tang, Wanqing Li, Chunping Hou, Pichao Wang, Yonghong Hou, Jing Zhang, Philip O. Ogunbona:
Online Action Recognition based on Incremental Learning of Weighted Covariance Descriptors. CoRR abs/1511.03028 (2015)
Coauthor Index
[j84] [j81] [j75] [j69] [j68] [j67] [j66] [c31] [c28] [c27] [j64] [j60] [j54] [j50] [j49] [j48] [j47] [j46] [c21] [i13] [i11] [j44] [j42] [j40] [j38] [j37] [j36] [j33] [j31] [j30] [c17] [c16] [c15] [c14] [j23] [c13] [c12] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [c10] [c9] [c8] [c7] [c6] [i7] [j15] [j12] [j11]
Philip Ogunbona
aka: Philip O. Ogunbona
aka: Philip O. Ogunbona
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