Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBaodi Liu
Bao-Di Liu
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j51]Lei Wei
, Lei Xing, Lifei Zhao, Baodi Liu:
Class Centralized Dictionary Learning for Few-Shot Remote Sensing Scene Classification. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023)- [j50]Yuteng Ma, Junmin Meng, Baodi Liu, Lina Sun, Hao Zhang, Peng Ren:
Dictionary Learning for Few-Shot Remote Sensing Scene Classification. Remote. Sens. 15(3): 773 (2023) - [j49]Zhe Li, Honglong Chen, Zhichen Ni, Xiaogang Deng, Baodi Liu, Weifeng Liu:
ARPCNN: Auxiliary Review-Based Personalized Attentional CNN for Trustworthy Recommendation. IEEE Trans. Ind. Informatics 19(1): 1018-1029 (2023) - 2022
- [j48]Jun Tang, Yanjiang Wang, Sichao Fu, Baodi Liu, Weifeng Liu:
A graph convolutional neural network model with Fisher vector encoding and channel-wise spatial-temporal aggregation for skeleton-based action recognition. IET Image Process. 16(5): 1433-1443 (2022) - [j47]Shuai Shao, Rui Xu, Zhenfang Wang, Weifeng Liu, Yanjiang Wang, Bao-Di Liu:
DLDL: Dynamic label dictionary learning via hypergraph regularization. Neurocomputing 475: 80-88 (2022) - [j46]Lei Xing, Shuai Shao, Weifeng Liu, Anxun Han, Xiangshuai Pan, Bao-Di Liu:
Learning task-specific discriminative embeddings for few-shot image classification. Neurocomputing 488: 1-13 (2022) - [j45]Xuefei Li, Baodi Liu, Kai Zhang, Honglong Chen, Weijia Cao, Weifeng Liu, Dapeng Tao:
Multi-view learning for hyperspectral image classification: An overview. Neurocomputing 500: 499-517 (2022) - [j44]Dongchen Han, Shuai Shao, Weifeng Liu, Bao-Di Liu:
Object re-identification with distribution corrected ranking list. Neurocomputing 506: 117-127 (2022) - [j43]Sichao Fu, Senlin Wang, Weifeng Liu, Baodi Liu, Bin Zhou, Xinhua You, Qinmu Peng, Xiao-Yuan Jing:
Adaptive graph convolutional collaboration networks for semi-supervised classification. Inf. Sci. 611: 262-276 (2022) - [j42]Sichao Fu, Baodi Liu, Weifeng Liu, Bin Zou, Xinhua You, Qinmu Peng, Xiao-Yuan Jing:
Adaptive multi-scale transductive information propagation for few-shot learning. Knowl. Based Syst. 249: 108979 (2022) - [j41]Wenhui Guo, Guixun Xu, Baodi Liu, Yanjiang Wang:
Hyperspectral Image Classification Using CNN-Enhanced Multi-Level Haar Wavelet Features Fusion Network. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j40]Wenzong Jiang, Lifei Zhao, Yanjiang Wang, Weifeng Liu, Bao-Di Liu:
U-Shaped Attention Connection Network for Remote-Sensing Image Super-Resolution. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j39]Xuefei Li, Weijia Cao, Kai Zhang, Baodi Liu, Dapeng Tao, Weifeng Liu:
Multiorder Interaction Information Embedding-Based Multiview Fusion-Aided Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j38]Xuefei Li, Baodi Liu, Kai Zhang, Weifeng Liu:
Location Soft-Aggregation-Based Band Weighting for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j37]Wuli Wang, Xiaohu Ma, Linchun Leng, Yanjiang Wang, Baodi Liu, Jinfeng Sun:
A Hybrid CNN Based on Global Reasoning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j36]Lei Xing, Yuteng Ma, Weijia Cao, Shuai Shao, Weifeng Liu, Baodi Liu:
Rethinking Few-Shot Remote Sensing Scene Classification: A Good Embedding Is All You Need? IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j35]Lei Xing, Shuai Shao, Yuteng Ma, Yanjiang Wang, Weifeng Liu, Baodi Liu:
Learning to Cooperate: Decision Fusion Method for Few-Shot Remote-Sensing Scene Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j34]Lei Xing, Lifei Zhao, Weijia Cao, Xinmin Ge, Weifeng Liu, Baodi Liu:
Class Shared Dictionary Learning for Few-Shot Remote Sensing Scene Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j33]Rui Xu, Baodi Liu, Xiaoping Lu, Kai Zhang, Weifeng Liu:
DMH-FSL: Dual-Modal Hypergraph for Few-Shot Learning. Neural Process. Lett. 54(2): 1317-1332 (2022) - [j32]Rui Xu, Lei Xing, Shuai Shao, Baodi Liu, Kai Zhang, Weifeng Liu:
Co-Learning for Few-Shot Learning. Neural Process. Lett. 54(4): 3339-3356 (2022) - [j31]Jiayan Wang, Xueqin Wang, Lei Xing, Bao-Di Liu, Zongmin Li:
Class-Shared SparsePCA for Few-Shot Remote Sensing Scene Classification. Remote. Sens. 14(10): 2304 (2022) - [j30]Wuli Wang, Yumeng Jiang, Ge Wang, Fangming Guo, Zhongwei Li, Baodi Liu:
Multi-Scale LBP Texture Feature Learning Network for Remote Sensing Interpretation of Land Desertification. Remote. Sens. 14(14): 3486 (2022) - [j29]Xiaoyin Liu, Ning Li, Jun Guo, Zhongyong Fan, Xiaoping Lu, Weifeng Liu, Baodi Liu:
Multistep-Ahead Prediction of Ocean SSTA Based on Hybrid Empirical Mode Decomposition and Gated Recurrent Unit Model. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 7525-7538 (2022) - [j28]Shuai Shao, Lei Xing, Rui Xu, Weifeng Liu, Yanjiang Wang, Bao-Di Liu:
MDFM: Multi-Decision Fusing Model for Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5151-5162 (2022) - [j27]Rui Xu, Lei Xing, Shuai Shao, Lifei Zhao, Baodi Liu, Weifeng Liu, Yicong Zhou:
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8674-8687 (2022) - [j26]Yanjiang Wang, Jichao Ma, Xue Chen, Baodi Liu:
Accurately Modeling the Resting Brain Functional Correlations Using Wave Equation With Spatiotemporal Varying Hypergraph Laplacian. IEEE Trans. Medical Imaging 41(12): 3787-3798 (2022) - [c43]Hengxin Feng, Weifeng Liu, Yanjiang Wang, Baodi Liu:
Enrich Features for Few-Shot Point Cloud Classification. ICASSP 2022: 2285-2289 - [c42]Zhenlong Wang, Weifeng Liu, Yanjiang Wang, Baodi Liu:
Agcyclegan: Attention-Guided Cyclegan for Single Underwater Image Restoration. ICASSP 2022: 2779-2783 - [c41]Xiangshuai Pan, Weifeng Liu, Yanjiang Wang, Xiaoping Lu, Baodi Liu:
MSL-FER: Mirrored Self-Supervised Learning for Facial Expression Recognition. ICIP 2022: 1601-1605 - [c40]Xiangshuai Pan, Qingtao Xie, Weifeng Liu, Baodi Liu:
Multi-task Facial Expression Recognition With Joint Gender Learning. SMC 2022: 210-215 - [c39]Anxun Han, Lei Xing, Weifeng Liu, Baodi Liu:
MVFF: Multi-view Feature Fusion for Few-shot Remote Sensing Image Scene Classification. SMC 2022: 2452-2458 - [c38]Qingtao Xie, Xiangshuai Pan, Weifeng Liu, Baodi Liu:
Multi-relational Semantic Distillation for Few-Shot Object Detection. SMC 2022: 2755-2761 - [i12]Shuai Shao, Baodi Liu, Lei Xing, Lifei Zhao, Yanjiang Wang, Weifeng Liu, Yicong Zhou:
CSN: Component-Supervised Network for Few-Shot Classification. CoRR abs/2203.07738 (2022) - [i11]Renjie Xu, Xinghao Yang, Baodi Liu, Kai Zhang, Weifeng Liu:
Selecting task with optimal transport self-supervised learning for few-shot classification. CoRR abs/2204.00289 (2022) - 2021
- [j25]Wenhui Guo, Guixun Xu, Weifeng Liu, Baodi Liu, Yanjiang Wang:
CNN-combined graph residual network with multilevel feature fusion for hyperspectral image classification. IET Comput. Vis. 15(8): 592-607 (2021) - [j24]Changtong Zan, Baodi Liu, Weili Guan, Kai Zhang, Weifeng Liu:
Learn from Object Counting: Crowd Counting with Meta-learning. IET Image Process. 15(14): 3543-3550 (2021) - [j23]Jichao Ma, Yanjiang Wang, Bao-Di Liu, Weifeng Liu:
Accurately modeling the human brain functional correlations with hypergraph Laplacian. Neurocomputing 428: 239-247 (2021) - [j22]Li Wang, Yanjiang Wang, Yaqian Zhao, Bao-Di Liu:
Classification of Remotely Sensed Images Using an Ensemble of Improved Convolutional Network. IEEE Geosci. Remote. Sens. Lett. 18(5): 930-934 (2021) - [j21]Weifeng Liu, Jinfeng Li, Bao-Di Liu, Weili Guan, Yicong Zhou, Changsheng Xu:
Unified Cross-domain Classification via Geometric and Statistical Adaptations. Pattern Recognit. 110: 107658 (2021) - [j20]Wenzong Jiang, Lifei Zhao, Yanjiang Wang, Weifeng Liu, Bao-Di Liu:
Cross-Dimension Attention Guided Self-Supervised Remote Sensing Single-Image Super-Resolution. Remote. Sens. 13(19): 3835 (2021) - [j19]Baodi Liu, Lifei Zhao, Jiaoyue Li, Hengle Zhao, Weifeng Liu, Ye Li, Yanjiang Wang, Honglong Chen, Weijia Cao:
Saliency-Guided Remote Sensing Image Super-Resolution. Remote. Sens. 13(24): 5144 (2021) - [c37]Jian Pang, Weifeng Liu, Baodi Liu, Dapeng Tao, Kai Zhang, Xiaoping Lu:
Interference Distillation for Underwater Fish Recognition. ACPR (1) 2021: 62-74 - [c36]Jiaoyue Li, Weifeng Liu, Kai Zhang, Baodi Liu:
Edge Loss for Remote Sensing Image Super-Resolution. CECNet 2021: 262-267 - [c35]Xuyang Peng, Weifeng Liu, Baodi Liu, Kai Zhang, Xiaoping Lu, Yicong Zhou:
Leveraging GANs via Non-local Features. ICANN (2) 2021: 551-562 - [c34]Min Zhu, Bao-Di Liu, Weifeng Liu, Kai Zhang, Ye Li, Xiaoping Lu:
Affine Non-Negative Collaborative Representation for Deep Metric Learning. ICIP 2021: 774-778 - [c33]Mengxue Liu, Yujuan Qi, Yanjiang Wang, Baodi Liu:
Adaptive Multi-Feature Fusion for Robust Object Tracking. ICIP 2021: 1884-1888 - [c32]Zhenfang Wang, Yan-Jiang Wang, Shuai Shao, Bao-Di Liu:
OPS-Net: Over-Parameterized Sharing Networks for Video Frame Interpolation. ICIP 2021: 1974-1978 - [c31]Xiaolong Lu, Baodi Liu, Weifeng Liu, Kai Zhang, Ye Li, Xiaoping Lu:
Linked Attention-Based Dynamic Graph Convolution Module for Point Cloud Classification. ICIP 2021: 3153-3157 - [c30]Shuai Shao, Lei Xing, Wei Yu, Rui Xu, Yan-Jiang Wang, Bao-Di Liu:
SSDL: Self-Supervised Dictionary Learning. ICME 2021: 1-6 - [c29]Min Zhu, Weifeng Liu, Kai Zhang, Ye Li, Peng Liu, Baodi Liu:
Collaborative Representation for Deep Meta Metric Learning. ICMR 2021: 506-510 - [c28]Shuai Shao, Lei Xing, Yan Wang, Rui Xu, Chunyan Zhao, Yanjiang Wang, Baodi Liu:
MHFC: Multi-Head Feature Collaboration for Few-Shot Learning. ACM Multimedia 2021: 4193-4201 - [c27]Mengxue Liu, Yujuan Qi, Yanjiang Wang, Baodi Liu, Weifeng Liu:
Adaptive Eigenmodes for Robust Object Tracking. SMC 2021: 547-551 - [c26]Dalei Chen, Bao-Di Liu:
LDAnet: a discriminant subspace for metric-based few-shot learning. SMC 2021: 1075-1080 - [c25]Fei Wang, Baodi Liu, Weifeng Liu:
From Objects to a Whole Painting. SMC 2021: 2177-2182 - [c24]Rui Shan, Qiang Xing, Jinyan Zhang, Jun Wang, Yanjiang Wang, Baodi Liu:
Lithology Identification using Well Logging Images Based on Improved Inception Network. SSCI 2021: 1-6 - [i10]Shuai Shao, Lei Xing, Yixin Chen, Yanjiang Wang, Bao-Di Liu, Yicong Zhou:
CIM: Class-Irrelevant Mapping for Few-Shot Classification. CoRR abs/2109.02840 (2021) - [i9]Shuai Shao, Lei Xing, Yan Wang, Rui Xu, Chunyan Zhao, Yanjiang Wang, Bao-Di Liu:
MHFC: Multi-Head Feature Collaboration for Few-Shot Learning. CoRR abs/2109.07785 (2021) - [i8]Shuai Shao, Lei Xing, Rui Xu, Weifeng Liu, Yanjiang Wang, Bao-Di Liu:
MDFM: Multi-Decision Fusing Model for Few-Shot Learning. CoRR abs/2112.00690 (2021) - [i7]Shuai Shao, Lei Xing, Wei Yu, Rui Xu, Yanjiang Wang, Baodi Liu:
SSDL: Self-Supervised Dictionary Learning. CoRR abs/2112.01790 (2021) - 2020
- [j18]Fei Pan, Zai-Xu Zhang, Bao-Di Liu, Ji-Jun Xie:
Class-Specific Sparse Principal Component Analysis for Visual Classification. IEEE Access 8: 110033-110047 (2020) - [j17]Yanjiang Wang, Xue Chen, Bao-Di Liu, Weifeng Liu, Richard Martin Shiffrin:
Understanding the Relationship Between Human Brain Structure and Function by Predicting the Structural Connectivity From Functional Connectivity. IEEE Access 8: 209926-209938 (2020) - [j16]Linxia Xiao, Yanjiang Wang, Baodi Liu, Weifeng Liu:
Probabilistic Memory Model for Visual Images Categorization. Comput. Informatics 39(6) (2020) - [j15]Shuai Shao, Rui Xu, Weifeng Liu, Bao-Di Liu, Yanjiang Wang:
Label embedded dictionary learning for image classification. Neurocomputing 385: 122-131 (2020) - [j14]Yanjiang Wang, Shuai Shao, Rui Xu, Weifeng Liu, Bao-Di Liu:
Class specific or shared? A cascaded dictionary learning framework for image classification. Signal Process. 176: 107697 (2020) - [c23]Yuying Cai, Jinfeng Li, Bao-Di Liu, Weifeng Liu, Kai Zhang, Changsheng Xu:
Local structure alignment guided domain adaptation with few source samples. MMAsia 2020: 60:1-60:7 - [c22]Yan Gao, Huilai Liang, Bao-Di Liu, Yanjiang Wang:
Action Detection Based on 3D Convolution Neural Network with Channel Attention Mechanism. SSCI 2020: 602-606 - [c21]Chunyu Du, Qiang Xing, Jinyan Zhang, Jun Wang, Bao-Di Liu, Yanjiang Wang:
Inpainting Electrical Logging Images Based on Deep CNN with Attention Mechanisms. SSCI 2020: 607-610 - [i6]Shuai Shao, Rui Xu, Yanjiang Wang, Weifeng Liu, Bao-Di Liu:
SAHDL: Sparse Attention Hypergraph Regularized Dictionary Learning. CoRR abs/2010.12416 (2020) - [i5]Shuai Shao, Mengke Wang, Rui Xu, Yanjiang Wang, Bao-Di Liu:
DLDL: Dynamic Label Dictionary Learning via Hypergraph Regularization. CoRR abs/2010.12417 (2020)
2010 – 2019
- 2019
- [j13]Wen-Yang Xie, Bao-Di Liu, Shuai Shao, Ye Li, Yanjiang Wang:
Sparse Representation and Collaborative Representation? Both Help Image Classification. IEEE Access 7: 76061-76070 (2019) - [j12]Bao-Di Liu, Jie Meng, Wen-Yang Xie, Shuai Shao, Ye Li, Yanjiang Wang:
Weighted Spatial Pyramid Matching Collaborative Representation for Remote-Sensing-Image Scene Classification. Remote. Sens. 11(5): 518 (2019) - [c20]Qianqian Shao, Bao-Di Liu:
Laplacian Eigenmaps Regularized Feature Mapping for Image Annotation. SMC 2019: 3901-3906 - [i4]Shuai Shao, Yanjiang Wang, Bao-Di Liu, Weifeng Liu:
Label Embedded Dictionary Learning for Image Classification. CoRR abs/1903.03087 (2019) - [i3]Shuai Shao, Yanjiang Wang, Bao-Di Liu, Rui Xu, Ye Li:
Class Specific or Shared? A Hybrid Dictionary Learning Network for Image Classification. CoRR abs/1904.08928 (2019) - 2018
- [j11]Li Wang, Yanjiang Wang, Bao-Di Liu:
Laplace Graph Embedding Class Specific Dictionary Learning for Face Recognition. J. Electr. Comput. Eng. 2018: 2179049:1-2179049:11 (2018) - [j10]Limiao Deng, Yanjiang Wang, Bao-Di Liu, Weifeng Liu, Yujuan Qi:
Biological modeling of human visual system for object recognition using GLoP filters and sparse coding on multi-manifolds. Mach. Vis. Appl. 29(6): 965-977 (2018) - [j9]Bao-Di Liu, Wen-Yang Xie, Jie Meng, Ye Li, Yanjiang Wang:
Hybrid Collaborative Representation for Remote-Sensing Image Scene Classification. Remote. Sens. 10(12): 1934 (2018) - [j8]Xue Li, Bin Shen, Bao-Di Liu, Yu-Jin Zhang:
Ranking-Preserving Low-Rank Factorization for Image Annotation With Missing Labels. IEEE Trans. Multim. 20(5): 1169-1178 (2018) - [c19]Bin Zhou, Yanjiang Wang, Weifeng Liu, Bao-Di Liu:
Recognition of Working Condition in Sucker-Rod Pumping Wells Based on Multi-View Kernel Learning and Hessian-Regularized Logistic Regression. ICSPCC 2018: 1-5 - 2017
- [j7]Bao-Di Liu, Liangke Gui, Yuting Wang, Yu-Xiong Wang, Bin Shen, Xue Li, Yanjiang Wang:
Class specific centralized dictionary learning for face recognition. Multim. Tools Appl. 76(3): 4159-4177 (2017) - [c18]Li Wang, Yanjiang Wang, Bao-Di Liu:
Elastic Net Regularized Dictionary Learning for Face Recognition. ICIMCS 2017: 140-150 - [c17]Jie Meng, Yanjiang Wang, Bao-Di Liu:
Probabilistic Collaborative Representation with Kernels for Visual Classification. ICIMCS 2017: 392-402 - 2016
- [j6]Xue Li, Yu-Jin Zhang, Bin Shen, Bao-Di Liu:
Low-rank image tag completion with dual reconstruction structure preserved. Neurocomputing 173: 425-433 (2016) - [j5]Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Xue Li, Yu-Jin Zhang, Yanjiang Wang:
Blockwise coordinate descent schemes for efficient and effective dictionary learning. Neurocomputing 178: 25-35 (2016) - [j4]Bao-Di Liu, Bin Shen, Liangke Gui, Yu-Xiong Wang, Xue Li, Fei Yan, Yanjiang Wang:
Face recognition using class specific dictionary learning for sparse representation and collaborative representation. Neurocomputing 204: 198-210 (2016) - [j3]Bin Shen, Bao-Di Liu, Qifan Wang:
Elastic net regularized dictionary learning for image classification. Multim. Tools Appl. 75(15): 8861-8874 (2016) - [j2]Xue Li, Bin Shen, Bao-Di Liu, Yu-Jin Zhang:
A Locality Sensitive Low-Rank Model for Image Tag Completion. IEEE Trans. Multim. 18(3): 474-483 (2016) - [c16]Quan-Qi Chen, Feng Liu, Xue Li, Bao-Di Liu, Yu-Jin Zhang:
Saliency-context two-stream convnets for action recognition. ICIP 2016: 3076-3080 - [c15]Xiaojie Feng, Yanjiang Wang, Bao-Di Liu, Weifeng Liu:
Class specific dictionary learning based kernel collaborative representation for fine-grained image classification. SMC 2016: 4737-4742 - 2015
- [c14]Bin Shen, Bao-Di Liu, Qifan Wang, Yi Fang, Jan P. Allebach:
SP-SVM: Large Margin Classifier for Data on Multiple Manifolds. AAAI 2015: 2965-2971 - [c13]Yin Zheng, Bin Shen, Xiaofeng Yang, Wanli Ma, Bao-Di Liu, Yu-Jin Zhang:
A Locality Preserving Approach for Kernel PCA. ICIG (1) 2015: 121-135 - [c12]Bao-Di Liu, Bin Shen, Xue Li:
Locality sensitive dictionary learning for image classification. ICIP 2015: 3807-3811 - 2014
- [c11]Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Yu-Jin Zhang, Martial Hebert:
Self-explanatory Sparse Representation for Image Classification. ECCV (2) 2014: 600-616 - [c10]Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Yu-Jin Zhang, Yanjiang Wang:
Blockwise coordinate descent schemes for sparse representation. ICASSP 2014: 5267-5271 - [c9]Xue Li, Yu-Jin Zhang, Bin Shen, Bao-Di Liu:
Image tag completion by low-rank factorization with dual reconstruction structure preserved. ICIP 2014: 3062-3066 - [c8]Bin Shen, Bao-Di Liu, Jan P. Allebach:
TISVM: Large margin classifier for misaligned image classification. ICIP 2014: 4251-4255 - [c7]Bin Shen, Bao-Di Liu, Qifan Wang, Rongrong Ji:
Robust nonnegative matrix factorization via L1 norm regularization by multiplicative updating rules. ICIP 2014: 5282-5286 - [c6]Bao-Di Liu, Bin Shen, Yu-Xiong Wang, Weifeng Liu, Yanjiang Wang:
Class specific subspace learning for collaborative representation. SMC 2014: 2865-2870 - [c5]Bao-Di Liu, Bin Shen, Yu-Xiong Wang:
Class specific dictionary learning for face recognition. SPAC 2014: 229-234 - [i2]Xue Li, Yu-Jin Zhang, Bin Shen, Bao-Di Liu:
Image Tag Completion by Low-rank Factorization with Dual Reconstruction Structure Preserved. CoRR abs/1406.2049 (2014) - 2013
- [j1]Bao-Di Liu, Yu-Xiong Wang, Yu-Jin Zhang, Bin Shen:
Learning dictionary on manifolds for image classification. Pattern Recognit. 46(7): 1879-1890 (2013) - [c4]Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Yu-Jin Zhang, Yanjiang Wang, Weifeng Liu:
Self-Explanatory Convex Sparse Representation for Image Classification. SMC 2013: 2120-2125 - 2012
- [c3]Bao-Di Liu, Yu-Xiong Wang, Yu-Jin Zhang, Yin Zheng:
Discriminant sparse coding for image classification. ICASSP 2012: 2193-2196 - [c2]Yin Zheng, Yu-Jin Zhang, Xue Li, Bao-Di Liu:
Action recognition in still images using a combination of human pose and context information. ICIP 2012: 785-788 - [i1]Bin Shen, Luo Si, Rongrong Ji, Bao-Di Liu:
Robust Nonnegative Matrix Factorization via L1 Norm Regularization. CoRR abs/1204.2311 (2012) - 2011
- [c1]Xue Li, Yu-Jin Zhang, Bao-Di Liu:
Robust Moving Cast Shadows Detection and Removal with Reliability Checking of the Color Property. ICIG 2011: 440-445
Coauthor Index
[j49] [j48] [j47] [j46] [j45] [j44] [j43] [j42] [j40] [j39] [j38] [j36] [j35] [j34] [j33] [j32] [j29] [j28] [j27] [c43] [c42] [c41] [c40] [c39] [c38] [i12] [i11] [j25] [j24] [j23] [j21] [j20] [j19] [c37] [c35] [c34] [c31] [c29] [c27] [c25] [i8] [j17] [j16] [j15] [j14] [c23] [i6] [i4] [j10] [c19] [c15] [c6] [c4]