default search action
Ming Shao
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j41]John McLinden, Neela Rahimi, Chetan Kumar, Dean J. Krusienski, Ming Shao, Kevin M. Spencer, Yalda Shahriari:
Investigation of electro-vascular phase-amplitude coupling during an auditory task. Comput. Biol. Medicine 169: 107902 (2024) - [j40]P. Pandey, John McLinden, Neela Rahimi, Chetan Kumar, Ming Shao, Kevin M. Spencer, Sarah Ostadabbas, Yalda Shahriari:
fNIRSNET: A multi-view spatio-temporal convolutional neural network fusion for functional near-infrared spectroscopy-based auditory event classification. Eng. Appl. Artif. Intell. 137: 109256 (2024) - [c83]Zhendong Liu, Haifeng Xia, Tong Guo, Libo Sun, Ming Shao, Siyu Xia:
Cross-Block Fine-Grained Semantic Cascade for Skeleton-Based Sports Action Recognition. FG 2024: 1-10 - [c82]Yinjie Zhang, Ming Shao, Wenlong Shi, Haifeng Xia, Siyu Xia:
Autonomous Generative Feature Replay for Non-Exemplar Class-Incremental Learning. ICASSP 2024: 5760-5764 - [c81]Jun Yin, Keyang Wang, Fei Wu, Ming Shao:
Task-aware Disentanglement for Object Detection. IJCNN 2024: 1-8 - [c80]Wenlong Shi, Changsheng Lu, Ming Shao, Yinjie Zhang, Siyu Xia, Piotr Koniusz:
Few-shot Shape Recognition by Learning Deep Shape-aware Features. WACV 2024: 1837-1848 - [i18]Wangguandong Zheng, Haifeng Xia, Rui Chen, Ming Shao, Siyu Xia, Zhengming Ding:
Sketch3D: Style-Consistent Guidance for Sketch-to-3D Generation. CoRR abs/2404.01843 (2024) - [i17]Zhendong Liu, Haifeng Xia, Tong Guo, Libo Sun, Ming Shao, Siyu Xia:
Cross-Block Fine-Grained Semantic Cascade for Skeleton-Based Sports Action Recognition. CoRR abs/2404.19383 (2024) - 2023
- [j39]Ming Shao, Zi Che, Yizhou Lu:
Research on visual size and visual alignment optimization of icon set design. Displays 80: 102571 (2023) - [j38]Jing Liu, Ming Shao, Minghui sun:
The forecast of power consumption and freshwater generation in a solar-assisted seawater greenhouse system using a multi-layer perceptron neural network. Expert Syst. Appl. 213(Part): 119289 (2023) - [j37]Chengxian Li, Ming Shao, Qirui Yang, Siyu Xia:
High-precision skeleton-based human repetitive action counting. IET Comput. Vis. 17(6): 700-709 (2023) - [j36]Xin Dong, Lijuan Ruan, Ming Shao, Yongjie Sun, Zebo Tang, Zhangbu Xu, Wangmei Zha, Yifei Zhang:
Dilepton Program with Time-of-Flight Detector at the STAR Experiment. Symmetry 15(2): 392 (2023) - [j35]Bin Sun, Jun Li, Ming Shao, Yun Fu:
LRPRNet: Lightweight Deep Network by Low-Rank Pointwise Residual Convolution. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4440-4450 (2023) - [c79]Chetan Kumar, Neela Rahimi, Rohan Gonjari, John McLinden, Sarah M. Ismail Hosni, Yalda Shahriari, Ming Shao:
Context-aware Multimodal Auditory BCI Classification through Graph Neural Networks. EMBC 2023: 1-4 - [c78]Junjie Zou, Ming Shao, Siyu Xia:
Graphrpe: Relative Position Encoding Graph Transformer for 3d Human Pose Estimation. ICIP 2023: 895-899 - [c77]John McLinden, Seyyed Bahram Borgheai, Chetan Kumar, Neela Rahimi, Ming Shao, Kevin M. Spencer, Yalda Shahriari:
Phase-Amplitude Coupling Between EEG Cortical Oscillations and Respiration: An Exploratory Study. NER 2023: 1-4 - [i16]Rui Ming, Haiping Xu, Shannon E. Gibbs, Donghui Yan, Ming Shao:
A Deep Neural Network Based Approach to Building Budget-Constrained Models for Big Data Analysis. CoRR abs/2302.11707 (2023) - [i15]Wenlong Shi, Changsheng Lu, Ming Shao, Yinjie Zhang, Siyu Xia, Piotr Koniusz:
Few-shot Shape Recognition by Learning Deep Shape-aware Features. CoRR abs/2312.01315 (2023) - 2022
- [j34]Joseph P. Robinson, Ming Shao, Yun Fu:
Survey on the Analysis and Modeling of Visual Kinship: A Decade in the Making. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4432-4453 (2022) - [j33]Wei Xu, Donghai Xiang, Guotai Wang, Ruisong Liao, Ming Shao, Kang Li:
Multiview Video-Based 3-D Pose Estimation of Patients in Computer-Assisted Rehabilitation Environment (CAREN). IEEE Trans. Hum. Mach. Syst. 52(2): 196-206 (2022) - [j32]Joseph P. Robinson, Zaid Khan, Yu Yin, Ming Shao, Yun Fu:
Families in Wild Multimedia: A Multimodal Database for Recognizing Kinship. IEEE Trans. Multim. 24: 3582-3594 (2022) - [j31]Wenlin Zhuang, Congyi Wang, Jinxiang Chai, Yangang Wang, Ming Shao, Siyu Xia:
Music2Dance: DanceNet for Music-Driven Dance Generation. ACM Trans. Multim. Comput. Commun. Appl. 18(2): 65:1-65:21 (2022) - [c76]Tian Wang, Changsheng Lu, Ming Shao, Xiaohui Yuan, Siyu Xia:
ElDet: An Anchor-Free General Ellipse Object Detector. ACCV (3) 2022: 223-238 - [c75]Riazat Ryan, Ming Shao:
Critic-over-Actor-Critic Modeling: Finding Optimal Strategy in ICU Environments. IEEE Big Data 2022: 1356-1361 - [c74]Zhiheng Peng, Ming Shao, Siyu Xia:
TMCR: A Twin Matching Networks for Chinese Scene Text Retrieval. PRCV (3) 2022: 308-319 - [c73]Chetan Kumar, Deepak Kumar, Ming Shao:
Generative Adversarial Attack on Ensemble Clustering. WACV 2022: 3839-3848 - [i14]Yapeng Teng, Haoyang Li, Fuzhen Cai, Ming Shao, Siyu Xia:
Unsupervised Visual Defect Detection with Score-Based Generative Model. CoRR abs/2211.16092 (2022) - 2021
- [j30]Zhangxing Bian, Siyu Xia, Chao Xia, Ming Shao:
Removal notice to "VitSeg: Weakly supervised vitiligo segmentation in skin image" [Comput. Med. Imag. Graph. 85 (2020) 101779]. Comput. Medical Imaging Graph. 91: 85 (2021) - [j29]Deepak Kumar, Chetan Kumar, Ming Shao:
Collaborative knowledge distillation for incomplete multi-view action prediction. Image Vis. Comput. 107: 104111 (2021) - [j28]Donghui Yan, Zhiwei Qin, Songxiang Gu, Haiping Xu, Ming Shao:
Cost-sensitive selection of variables by ensemble of model sequences. Knowl. Inf. Syst. 63(5): 1069-1092 (2021) - [c72]Joseph P. Robinson, Can Qin, Ming Shao, Matthew A. Turk, Rama Chellappa, Yun Fu:
The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces. FG 2021: 1-7 - [c71]Jiaxuan Zhu, Ming Shao, Chao Xia, Hong Pan, Siyu Xia:
Adversarial Attacks on Kinship Verification using Transformer. FG 2021: 1-8 - [c70]Pengyu Gao, Joseph P. Robinson, Jiaxuan Zhu, Chao Xia, Ming Shao, Siyu Xia:
DNA-Net: Age and Gender Aware Kin Face Synthesizer. ICME 2021: 1-6 - [i13]Joseph P. Robinson, Can Qin, Ming Shao, Matthew A. Turk, Rama Chellappa, Yun Fu:
The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces. CoRR abs/2111.00598 (2021) - 2020
- [j27]Changsheng Lu, Siyu Xia, Ming Shao, Yun Fu:
Arc-Support Line Segments Revisited: An Efficient High-Quality Ellipse Detection. IEEE Trans. Image Process. 29: 768-781 (2020) - [c69]Chetan Kumar, Riazat Ryan, Ming Shao:
Adversary for Social Good: Protecting Familial Privacy through Joint Adversarial Attacks. AAAI 2020: 11304-11311 - [c68]Chengyao Zheng, Siyu Xia, Joseph P. Robinson, Changsheng Lu, Wayne Wu, Chen Qian, Ming Shao:
Localin Reshuffle Net: Toward Naturally and Efficiently Facial Image Blending. ACCV (5) 2020: 206-222 - [c67]Joseph P. Robinson, Yu Yin, Zaid Khan, Ming Shao, Siyu Xia, Michael Stopa, Samson Timoner, Matthew A. Turk, Rama Chellappa, Yun Fu:
Recognizing Families In the Wild (RFIW): The 4th Edition. FG 2020: 857-862 - [c66]Deepak Kumar, Chetan Kumar, Chun-Wei Seah, Siyu Xia, Ming Shao:
Finding Achilles' Heel: Adversarial Attack on Multi-modal Action Recognition. ACM Multimedia 2020: 3829-3837 - [c65]Todd Morehouse, Neela Rahimi, Ming Shao, Ruolin Zhou:
Baseband Modulation Classification using Incremental Learning. MWSCAS 2020: 225-228 - [i12]Joseph P. Robinson, Yu Yin, Zaid Khan, Ming Shao, Siyu Xia, Michael Stopa, Samson Timoner, Matthew A. Turk, Rama Chellappa, Yun Fu:
Recognizing Families In the Wild (RFIW): The 4th Edition. CoRR abs/2002.06303 (2020) - [i11]Wenlin Zhuang, Yangang Wang, Joseph P. Robinson, Congyi Wang, Ming Shao, Yun Fu, Siyu Xia:
Towards 3D Dance Motion Synthesis and Control. CoRR abs/2006.05743 (2020) - [i10]Joseph P. Robinson, Ming Shao, Yun Fu:
Visual Kinship Recognition: A Decade in the Making. CoRR abs/2006.16033 (2020) - [i9]Joseph P. Robinson, Zaid Khan, Yu Yin, Ming Shao, Yun Fu:
Families In Wild Multimedia (FIW-MM): A Multi-Modal Database for Recognizing Kinship. CoRR abs/2007.14509 (2020) - [i8]Taotao Jing, Ming Shao, Zhengming Ding:
Discriminative Cross-Domain Feature Learning for Partial Domain Adaptation. CoRR abs/2008.11360 (2020)
2010 – 2019
- 2019
- [j26]Zhengming Ding, Ming Shao, Yun Fu:
Generative Zero-Shot Learning via Low-Rank Embedded Semantic Dictionary. IEEE Trans. Pattern Anal. Mach. Intell. 41(12): 2861-2874 (2019) - [j25]Zhengming Ding, Ming Shao, Wonjun Hwang, Sungjoo Suh, Jae-Joon Han, Changkyu Choi, Yun Fu:
Robust Discriminative Metric Learning for Image Representation. IEEE Trans. Circuits Syst. Video Technol. 29(11): 3173-3183 (2019) - [j24]Hongfu Liu, Ming Shao, Zhengming Ding, Yun Fu:
Structure-Preserved Unsupervised Domain Adaptation. IEEE Trans. Knowl. Data Eng. 31(4): 799-812 (2019) - [j23]Hongfu Liu, Ming Shao, Yun Fu:
Feature Selection with Unsupervised Consensus Guidance. IEEE Trans. Knowl. Data Eng. 31(12): 2319-2331 (2019) - [c64]Zhangxing Bian, Siyu Xia, Chao Xia, Ming Shao:
Weakly Supervised Vitiligo Segmentation in Skin Image through Saliency Propagation. BIBM 2019: 931-934 - [c63]Riazat Ryan, Handong Zhao, Ming Shao:
CTC-Attention based Non-Parametric Inference Modeling for Clinical State Progression. IEEE BigData 2019: 145-154 - [c62]Chengyao Zheng, Siyu Xia, Ming Shao, Yun Fu:
Fast Facial Image Analogy with Spatial Guidance. FG 2019: 1-5 - [c61]ZhiMing Liu, Ming Shao, Jin Wang, Kaide Li, Yaonong Wang, Miao Cheng:
Exclusion-Net: Accurate Detection Algorithm for Crowd Objects. ICIT 2019: 187-191 - [i7]Donghui Yan, Zhiwei Qin, Songxiang Gu, Haiping Xu, Ming Shao:
Cost-sensitive Selection of Variables by Ensemble of Model Sequences. CoRR abs/1901.00456 (2019) - [i6]Zhengming Ding, Ming Shao:
Robust Knowledge Discovery via Low-rank Modeling. CoRR abs/1909.13123 (2019) - [i5]Bin Sun, Ming Shao, Siyu Xia, Yun Fu:
Real-time Memory Efficient Large-pose Face Alignment via Deep Evolutionary Network. CoRR abs/1910.11818 (2019) - [i4]Bin Sun, Jun Li, Ming Shao, Yun Fu:
LPRNet: Lightweight Deep Network by Low-rank Pointwise Residual Convolution. CoRR abs/1910.11853 (2019) - [i3]Pengyu Gao, Siyu Xia, Joseph P. Robinson, Junkang Zhang, Chao Xia, Ming Shao, Yun Fu:
What Will Your Child Look Like? DNA-Net: Age and Gender Aware Kin Face Synthesizer. CoRR abs/1911.07014 (2019) - 2018
- [j22]Hongfu Liu, Ming Shao, Sheng Li, Yun Fu:
Infinite ensemble clustering. Data Min. Knowl. Discov. 32(2): 385-416 (2018) - [j21]Joseph P. Robinson, Ming Shao, Yue Wu, Hongfu Liu, Timothy Gillis, Yun Fu:
Visual Kinship Recognition of Families in the Wild. IEEE Trans. Pattern Anal. Mach. Intell. 40(11): 2624-2637 (2018) - [j20]Shuhui Jiang, Ming Shao, Chengcheng Jia, Yun Fu:
Learning Consensus Representation for Weak Style Classification. IEEE Trans. Pattern Anal. Mach. Intell. 40(12): 2906-2919 (2018) - [j19]Sheng Li, Ming Shao, Yun Fu:
Person Re-Identification by Cross-View Multi-Level Dictionary Learning. IEEE Trans. Pattern Anal. Mach. Intell. 40(12): 2963-2977 (2018) - [j18]Qiyun Huang, Shenghong He, Qihong Wang, Zhenghui Gu, Nengneng Peng, Kai Li, Yuandong Zhang, Ming Shao, Yuanqing Li:
An EOG-Based Human-Machine Interface for Wheelchair Control. IEEE Trans. Biomed. Eng. 65(9): 2023-2032 (2018) - [j17]Chengcheng Jia, Ming Shao, Sheng Li, Handong Zhao, Yun Fu:
Stacked Denoising Tensor Auto-Encoder for Action Recognition With Spatiotemporal Corruptions. IEEE Trans. Image Process. 27(4): 1878-1887 (2018) - [j16]Sheng Li, Ming Shao, Yun Fu:
Multi-View Low-Rank Analysis with Applications to Outlier Detection. ACM Trans. Knowl. Discov. Data 12(3): 32:1-32:22 (2018) - [j15]Zhengming Ding, Ming Shao, Yun Fu:
Incomplete Multisource Transfer Learning. IEEE Trans. Neural Networks Learn. Syst. 29(2): 310-323 (2018) - [j14]Yu Kong, Ming Shao, Kang Li, Yun Fu:
Probabilistic Low-Rank Multitask Learning. IEEE Trans. Neural Networks Learn. Syst. 29(3): 670-680 (2018) - [j13]Ming Shao, Yizhe Zhang, Yun Fu:
Collaborative Random Faces-Guided Encoders for Pose-Invariant Face Representation Learning. IEEE Trans. Neural Networks Learn. Syst. 29(4): 1019-1032 (2018) - [c60]Chao Xia, Siyu Xia, Ming Shao, Yun Fu:
Album to Family Tree: A Graph Based Method for Family Relationship Recognition. ACCV (2) 2018: 496-510 - [c59]Venkata Suhas Maringanti, Ming Shao:
Divide-and-Conquer Kronecker Product Decomposition for Memory-Efficient Graph Approximation. IEEE BigData 2018: 3766-3773 - [c58]Bin Sun, Ming Shao, Siyu Xia, Yun Fu:
Deep Evolutionary 3D Diffusion Heat Maps for Large-pose Face Alignment. BMVC 2018: 256 - [c57]Zhengming Ding, Sheng Li, Ming Shao, Yun Fu:
Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation. ECCV (2) 2018: 36-52 - [c56]Yu Li, Ming Shao, Hailong Jiao, Adam Cron, Sandeep Bhatia, Erik Jan Marinissen:
IEEE Std P1838's flexible parallel port and its specification with Google's protocol buffers. ETS 2018: 1-6 - [c55]Zhengming Ding, Ming Shao, Sheng Li, Yun Fu:
Generic Embedded Semantic Dictionary for Robust Multi-Label Classification. ICBK 2018: 282-289 - [c54]Zhengming Ding, Ming Shao, Yun Fu:
Robust Multi-view Representation: A Unified Perspective from Multi-view Learning to Domain Adaption. IJCAI 2018: 5434-5440 - [c53]Joseph P. Robinson, Ming Shao, Yun Fu:
To Recognize Families In the Wild: A Machine Vision Tutorial. ACM Multimedia 2018: 2096-2097 - [c52]Chao Xia, Siyu Xia, Yuan Zhou, Le Zhang, Ming Shao:
Graph Based Family Relationship Recognition from a Single Image. PRICAI (1) 2018: 310-320 - [i2]Changsheng Lu, Siyu Xia, Ming Shao, Yun Fu:
High-quality Ellipse Detection Based on Arc-support Line Segments. CoRR abs/1810.03243 (2018) - 2017
- [j12]Rui Zhang, Qihong Wang, Kai Li, Shenghong He, Si Qin, Zhenghui Feng, Yang Chen, Pingxia Song, Tingyan Yang, Yuandong Zhang, Zhuliang Yu, Yaohua Hu, Ming Shao, Yuanqing Li:
A BCI-Based Environmental Control System for Patients With Severe Spinal Cord Injuries. IEEE Trans. Biomed. Eng. 64(8): 1959-1971 (2017) - [j11]Chengcheng Jia, Ming Shao, Yun Fu:
Sparse Canonical Temporal Alignment With Deep Tensor Decomposition for Action Recognition. IEEE Trans. Image Process. 26(2): 738-750 (2017) - [j10]Ming Shao, Yun Fu:
Cross-Modality Feature Learning Through Generic Hierarchical Hyperlingual-Words. IEEE Trans. Neural Networks Learn. Syst. 28(2): 451-463 (2017) - [c51]Deepak Kumar, Chetan Kumar, Ming Shao:
Cross-database mammographic image analysis through unsupervised domain adaptation. IEEE BigData 2017: 4035-4042 - [c50]Zhengming Ding, Ming Shao, Yun Fu:
Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning. CVPR 2017: 6005-6013 - [c49]Changsheng Lu, Siyu Xia, Wanming Huang, Ming Shao, Yun Fu:
Circle detection by arc-support line segments. ICIP 2017: 76-80 - [c48]Junkang Zhang, Siyu Xia, Ming Shao, Yun Fu:
Family Photo Recognition via Multiple Instance Learning. ICMR 2017: 424-428 - [c47]Joseph P. Robinson, Ming Shao, Handong Zhao, Yue Wu, Timothy Gillis, Yun Fu:
RFIW: Large-Scale Kinship Recognition Challenge. ACM Multimedia 2017: 1971-1973 - 2016
- [j9]Ming Shao, Xindong Wu, Yun Fu:
Scalable Nearest Neighbor Sparse Graph Approximation by Exploiting Graph Structure. IEEE Trans. Big Data 2(4): 365-380 (2016) - [c46]Shuhui Jiang, Ming Shao, Chengcheng Jia, Yun Fu:
Consensus Style Centralizing Auto-Encoder for Weak Style Classification. AAAI 2016: 1223-1229 - [c45]Hongfu Liu, Ming Shao, Yun Fu:
Consensus Guided Unsupervised Feature Selection. AAAI 2016: 1874-1880 - [c44]Ming Shao, Zhengming Ding, Handong Zhao, Yun Fu:
Spectral Bisection Tree Guided Deep Adaptive Exemplar Autoencoder for Unsupervised Domain Adaptation. AAAI 2016: 2023-2029 - [c43]Bharat Singh, Tim K. Marks, Michael J. Jones, Oncel Tuzel, Ming Shao:
A Multi-stream Bi-directional Recurrent Neural Network for Fine-Grained Action Detection. CVPR 2016: 1961-1970 - [c42]Zhengming Ding, Ming Shao, Yun Fu:
Deep Robust Encoder Through Locality Preserving Low-Rank Dictionary. ECCV (6) 2016: 567-582 - [c41]Hongfu Liu, Ming Shao, Yun Fu:
Structure-Preserved Multi-source Domain Adaptation. ICDM 2016: 1059-1064 - [c40]Zhengming Ding, Ming Shao, Yun Fu:
Transfer learning for image classification with incomplete multiple sources. IJCNN 2016: 2188-2195 - [c39]Chengcheng Jia, Ming Shao, Yun Fu:
Sparse alignment for video analysis in discriminant Tensor space. IJCNN 2016: 2260-2266 - [c38]Hongfu Liu, Ming Shao, Sheng Li, Yun Fu:
Infinite Ensemble for Image Clustering. KDD 2016: 1745-1754 - [c37]Joseph P. Robinson, Ming Shao, Yue Wu, Yun Fu:
Families in the Wild (FIW): Large-Scale Kinship Image Database and Benchmarks. ACM Multimedia 2016: 242-246 - [i1]Joseph P. Robinson, Ming Shao, Yue Wu, Yun Fu:
Family in the Wild (FIW): A Large-scale Kinship Recognition Database. CoRR abs/1604.02182 (2016) - 2015
- [j8]Zhengming Ding, Ming Shao, Yun Fu:
Missing Modality Transfer Learning via Latent Low-Rank Constraint. IEEE Trans. Image Process. 24(11): 4322-4334 (2015) - [c36]Ming Shao, Zhengming Ding, Yun Fu:
Sparse low-rank fusion based deep features for missing modality face recognition. FG 2015: 1-6 - [c35]Handong Zhao, Zhengming Ding, Ming Shao, Yun Fu:
Part-Level Regularized Semi-Nonnegative Coding for Semi-Supervised Learning. ICDM 2015: 1123-1128 - [c34]Sheng Li, Ming Shao, Yun Fu:
Cross-View Projective Dictionary Learning for Person Re-Identification. IJCAI 2015: 2155-2161 - [c33]Zhengming Ding, Ming Shao, Yun Fu:
Deep Low-Rank Coding for Transfer Learning. IJCAI 2015: 3453-3459 - [c32]Ming Shao, Sheng Li, Zhengming Ding, Yun Fu:
Deep Linear Coding for Fast Graph Clustering. IJCAI 2015: 3798-3804 - [c31]Sheng Li, Ming Shao, Yun Fu:
Multi-View Low-Rank Analysis for Outlier Detection. SDM 2015: 748-756 - 2014
- [j7]Ming Shao, Dmitry Kit, Yun Fu:
Generalized Transfer Subspace Learning Through Low-Rank Constraint. Int. J. Comput. Vis. 109(1-2): 74-93 (2014) - [c30]Zhengming Ding, Ming Shao, Yun Fu:
Latent Low-Rank Transfer Subspace Learning for Missing Modality Recognition. AAAI 2014: 1192-1198 - [c29]Ming Shao, Dafni Smonou, Michael Kampouridis, Edward P. K. Tsang:
Guided Fast Local Search for speeding up a financial forecasting algorithm. CIFEr 2014: 325-332 - [c28]Ming Shao, Sheng Li, Tongliang Liu, Dacheng Tao, Thomas S. Huang, Yun Fu:
Learning relative features through adaptive pooling for image classification. ICME 2014: 1-6 - [c27]Sheng Li, Ming Shao, Yun Fu:
Locality linear fitting one-class SVM with low-rank constraints for outlier detection. IJCNN 2014: 676-683 - [c26]Shuyang Wang, Ming Shao, Yun Fu:
Attractive or Not?: Beauty Prediction with Attractiveness-Aware Encoders and Robust Late Fusion. ACM Multimedia 2014: 805-808 - [p5]Ming Shao, Siyu Xia, Yun Fu:
Identity and Kinship Relations in Group Pictures. Human-Centered Social Media Analytics 2014: 175-190 - [p4]Ming Shao, Yun Fu:
Recognizing Occupations Through Probabilistic Models: A Social View. Human-Centered Social Media Analytics 2014: 191-206 - [p3]Ming Shao, Dmitry Kit, Yun Fu:
Low-Rank Transfer Learning. Low-Rank and Sparse Modeling for Visual Analysis 2014: 87-115 - [p2]