Ming Shao

发表

Recognizing Families In the Wild (RFIW): The 4th Edition

Joseph P. Robinson, Matthew A. Turk, R. Chellappa, 2020, 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020).

Cross-Modality Feature Learning Through Generic Hierarchical Hyperlingual-Words

Ming Shao, Yun Fu, Y. Fu, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Latent Low-Rank Bi-Directional Transfer Subspace Learning

Ming Shao, Yun Fu, Zhengming Ding, 2014, AAAI 2014.

Localin Reshuffle Net: Toward Naturally and Efficiently Facial Image Blending

Ming Shao, J. Paul Robinson, Wayne Wu, 2020, ACCV.

Families in Wild Multimedia: A Multimodal Database for Recognizing Kinship pdf

Ming Shao, Yun Fu, Joseph P. Robinson, 2020, IEEE Transactions on Multimedia.

Survey on the Analysis and Modeling of Visual Kinship: A Decade in the Making

Yun Fu, Ming Shao, Joseph P. Robinson, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning relative features through adaptive pooling for image classification

Ming Shao, Yun Fu, Thomas S. Huang, 2014, 2014 IEEE International Conference on Multimedia and Expo (ICME).

Deep Linear Coding for Fast Graph Clustering

Ming Shao, Yun Fu, Zhengming Ding, 2015, IJCAI.

Discriminative metric: Schatten norm vs. vector norm

Ming Shao, Yun Fu, Liangyue Li, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Collaborative Random Faces-Guided Encoders for Pose-Invariant Face Representation Learning

Ming Shao, Yun Fu, Yizhe Zhang, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Collaborative knowledge distillation for incomplete multi-view action prediction

Ming Shao, Deepak Kumar, Chetan Kumar, 2021, Image Vis. Comput..

Multi-View Low-Rank Analysis with Applications to Outlier Detection

Ming Shao, Yun Fu, Sheng Li, 2018, ACM Trans. Knowl. Discov. Data.

Incomplete Multisource Transfer Learning

Ming Shao, Yun Fu, Zhengming Ding, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Efficient Transfer Feature Learning and Its Applications on Social Media

Ming Shao, Ming Shao, 2016 .

Deep Low-Rank Coding for Transfer Learning

Ming Shao, Yun Fu, Zhengming Ding, 2015, IJCAI.

Locality linear fitting one-class SVM with low-rank constraints for outlier detection

Ming Shao, Yun Fu, Sheng Li, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Latent Low-Rank Transfer Subspace Learning for Missing Modality Recognition

Ming Shao, Yun Fu, Zhengming Ding, 2014, AAAI.

Generalized Transfer Subspace Learning Through Low-Rank Constraint

Ming Shao, Yun Fu, Dmitry Kit, 2014, International Journal of Computer Vision.

Low-rank embedding for semisupervised face classification

Ming Shao, Yun Fu, Gaurav Srivastava, 2013, 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).

Low-Rank Transfer Subspace Learning

Ming Shao, Yun Fu, Carlos Castillo, 2012, 2012 IEEE 12th International Conference on Data Mining.

Multi-spectral cloud detection based on a multi-dimensional and multi-grained dense cascade forest

Ming Shao, Yao Zou, Ming Shao, 2021, Journal of Applied Remote Sensing.

Sparse Canonical Temporal Alignment With Deep Tensor Decomposition for Action Recognition

Ming Shao, Yun Fu, Chengcheng Jia, 2017, IEEE Transactions on Image Processing.

Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation

Ming Shao, Yun Fu, Zhengming Ding, 2018, ECCV.

Circle detection by arc-support line segments

Ming Shao, Si-Yu Xia, Yun Fu, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

What Will Your Child Look Like? DNA-Net: Age and Gender Aware Kin Face Synthesizer pdf

J. Paul Robinson, Pengyu Gao, Yun Fu, 2019, ArXiv.

Toward kinship verification using visual attributes

Ming Shao, Si-Yu Xia, Yun Fu, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Understanding Kin Relationships in a Photo

Jiebo Luo, Ming Shao, Si-Yu Xia, 2012, IEEE Transactions on Multimedia.

Kinship Verification through Transfer Learning

Ming Shao, Si-Yu Xia, Yun Fu, 2011, IJCAI.

Transfer learning for image classification with incomplete multiple sources

Ming Shao, Yun Fu, Zhengming Ding, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Part-Level Regularized Semi-Nonnegative Coding for Semi-Supervised Learning

Ming Shao, Yun Fu, Handong Zhao, 2015, 2015 IEEE International Conference on Data Mining.

Cross-database mammographic image analysis through unsupervised domain adaptation

Ming Shao, Deepak Kumar, Chetan Kumar, 2017, 2017 IEEE International Conference on Big Data (Big Data).

Generative Zero-Shot Learning via Low-Rank Embedded Semantic Dictionary

Ming Shao, Yun Fu, Zhengming Ding, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Cross-View Projective Dictionary Learning for Person Re-Identification

Ming Shao, Yun Fu, Sheng Li, 2015, IJCAI.

Infinite Ensemble for Image Clustering

Ming Shao, Yun Fu, Hongfu Liu, 2016, KDD.

Towards 3D Dance Motion Synthesis and Control pdf

J. Paul Robinson, Congyi Wang, Yangang Wang, 2020, ArXiv.

A Multi-stream Bi-directional Recurrent Neural Network for Fine-Grained Action Detection

Ming Shao, Michael J. Jones, Bharat Singh, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Real-time Memory Efficient Large-pose Face Alignment via Deep Evolutionary Network pdf

Ming Shao, Bin Sun, Siyu Xia, 2019, ArXiv.

Adversary for Social Good: Protecting Familial Privacy through Joint Adversarial Attacks

Chetan Kumar, Riazat Ryan, Ming Shao, 2020, AAAI.

Learning Consensus Representation for Weak Style Classification

Ming Shao, Yun Fu, Chengcheng Jia, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Deep Robust Encoder Through Locality Preserving Low-Rank Dictionary

Ming Shao, Yun Fu, Zhengming Ding, 2016, ECCV.

Consensus Style Centralizing Auto-Encoder for Weak Style Classification

Ming Shao, Yun Fu, Chengcheng Jia, 2016, AAAI.

Structure-Preserved Unsupervised Domain Adaptation

Ming Shao, Yun Fu, Hongfu Liu, 2019, IEEE Transactions on Knowledge and Data Engineering.

Visual Kinship Recognition: A Decade in the Making pdf

Yun Fu, Ming Shao, Joseph P. Robinson, 2020, ArXiv.

Weakly Supervised Vitiligo Segmentation in Skin Image through Saliency Propagation

Zhangxing Bian, Ming Shao, Siyu Xia, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Arc-Support Line Segments Revisited: An Efficient High-Quality Ellipse Detection

Yun Fu, Ming Shao, Siyu Xia, 2018, IEEE Transactions on Image Processing.

High-quality Ellipse Detection Based on Arc-support Line Segments pdf

Ming Shao, Si-Yu Xia, Yun Fu, 2018, ArXiv.

Infinite ensemble clustering

Ming Shao, Yun Fu, Hongfu Liu, 2017, Data Mining and Knowledge Discovery.

Recognition of the basic terrain features based on CD-TIN of contour lines

Gang Wang, Ruipeng Hu, Ming Shao, 2008, International Conference on Earth Observation for Global Changes.

Divide-and-Conquer Kronecker Product Decomposition for Memory-Efficient Graph Approximation

Ming Shao, Venkata Suhas Maringanti, Ming Shao, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Scalable Nearest Neighbor Sparse Graph Approximation by Exploiting Graph Structure

Xindong Wu, Ming Shao, Yun Fu, 2016, IEEE Transactions on Big Data.

Multi-View Low-Rank Analysis for Outlier Detection

Ming Shao, Yun Fu, Sheng Li, 2015, SDM.

Person Re-Identification by Cross-View Multi-Level Dictionary Learning

Ming Shao, Yun Fu, Sheng Li, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Finding Achilles' Heel: Adversarial Attack on Multi-modal Action Recognition

Ming Shao, Siyu Xia, Deepak Kumar, 2020, ACM Multimedia.

Sparse Canonical Temporal Alignment with NTF for RGB-D Action Recognition

Ming Shao, Yun Fu, Chengcheng Jia, 2016 .

The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces

Rama Chellappa, Ming Shao, Yun Fu, 2021, 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021).

Survey on the Analysis and Modeling of Visual Kinship: A Decade in the Making

Joseph P. Robinson, Y. Fu, Ming Shao, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Visual Kinship Recognition of Families in the Wild

Ming Shao, Yun Fu, Yue Wu, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Recognizing Families In the Wild (RFIW): Data Challenge Workshop in conjunction with ACM MM 2017

Handong Zhao, Yun Fu, Ming Shao, 2017 .

Families in the Wild (FIW): Large-Scale Kinship Image Database and Benchmarks

Ming Shao, Yun Fu, Yue Wu, 2016, ACM Multimedia.

Family in the Wild (FIW): A Large-scale Kinship Recognition Database pdf

Ming Shao, Yun Fu, Yue Wu, 2016, ArXiv.

Genealogical face recognition based on UB KinFace database

Ming Shao, Si-Yu Xia, Yun Fu, 2011, CVPR 2011 WORKSHOPS.

Robust Discriminative Metric Learning for Image Representation

Ming Shao, Yun Fu, Wonjun Hwang, 2018, IEEE Transactions on Circuits and Systems for Video Technology.

Baseband Modulation Classification using Incremental Learning

Ming Shao, Ruolin Zhou, Todd Morehouse, 2020, 2020 IEEE 63rd International Midwest Symposium on Circuits and Systems (MWSCAS).

Discriminative Cross-Domain Feature Learning for Partial Domain Adaptation pdf

Zhengming Ding, Taotao Jing, Ming Shao, 2020, ArXiv.

Spectral Bisection Tree Guided Deep Adaptive Exemplar Autoencoder for Unsupervised Domain Adaptation

Ming Shao, Yun Fu, Handong Zhao, 2016, AAAI.

Generalized Transfer Subspace Learning Through Low-Rank Constraint

Y. Fu, Dmitry Kit, Ming Shao, 2014, International Journal of Computer Vision.

Low-Rank Transfer Learning

Ming Shao, Yun Fu, Dmitry Kit, 2014, Low-Rank and Sparse Modeling for Visual Analysis.

Structure-Preserved Multi-source Domain Adaptation

Ming Shao, Yun Fu, Hongfu Liu, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Consensus Guided Unsupervised Feature Selection

Ming Shao, Yun Fu, Hongfu Liu, 2016, AAAI.

Clustering Based Fast Low-Rank Approximation for Large-Scale Graph

Wei Chen, Ming Shao, Yun Fu, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

Stacked Denoising Tensor Auto-Encoder for Action Recognition With Spatiotemporal Corruptions

Ming Shao, Yun Fu, Handong Zhao, 2018, IEEE Transactions on Image Processing.

Robust Multi-view Representation: A Unified Perspective from Multi-view Learning to Domain Adaption

Ming Shao, Yun Fu, Zhengming Ding, 2018, IJCAI.

Feature Selection with Unsupervised Consensus Guidance

Ming Shao, Yun Fu, Hongfu Liu, 2019, IEEE Transactions on Knowledge and Data Engineering.

Probabilistic Low-Rank Multitask Learning

Ming Shao, Yun Fu, Kang Li, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Families In Wild Multimedia (FIW-MM): A Multi-Modal Database for Recognizing Kinship

Joseph P. Robinson, Yu Yin, Zaid Khan, 2020, arXiv.org.

Recognizing Families In the Wild (RFIW): The 5th Edition

Joseph P. Robinson, Matthew A. Turk, Ramalingam Chellappa, 2021 .

To Recognize Families In the Wild: A Machine Vision Tutorial

Ming Shao, Yun Fu, Joseph P. Robinson, 2018, ACM Multimedia.

Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning

Ming Shao, Yun Fu, Zhengming Ding, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Low-Rank Outlier Detection

Ming Shao, Yun Fu, Sheng Li, 2014, Low-Rank and Sparse Modeling for Visual Analysis.

Generic Embedded Semantic Dictionary for Robust Multi-Label Classification

Ming Shao, Yun Fu, Sheng Li, 2018, 2018 IEEE International Conference on Big Knowledge (ICBK).