| A dictionary learning approach for classification: separating the particularity and the commonality. S Kong, D Wang ECCV (1) 7572, 186-199, 2012 | 279 | 2012 |
| Zero-Shot Recognition using Dual Visual-Semantic Mapping Paths Y Li, D Wang, H Hu, Y Lin, Y Zhuang The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp …, 2017 | 154 | 2017 |
| Relational knowledge transfer for zero-shot learning D Wang, Y Li, Y Lin, Y Zhuang Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 102 | 2016 |
| A classification-oriented dictionary learning model: Explicitly learning the particularity and commonality across categories D Wang, S Kong Pattern Recognition 47 (2), 885-898, 2014 | 82 | 2014 |
| Microwave spectral analysis based on photonic compressive sampling with random demodulation H Chi, Y Mei, Y Chen, D Wang, S Zheng, X Jin, X Zhang Optics letters 37 (22), 4636-4638, 2012 | 51 | 2012 |
| Saliency detection within a deep convolutional architecture Y Lin, S Kong, D Wang, Y Zhuang Workshops at the twenty-eighth AAAI conference on artificial intelligence, 2014 | 35 | 2014 |
| Task-driven visual saliency and attention-based visual question answering Y Lin, Z Pang, D Wang, Y Zhuang arXiv preprint arXiv:1702.06700, 2017 | 33 | 2017 |
| Learning individual-specific dictionaries with fused multiple features for face recognition S Kong, D Wang 2013 10th IEEE International Conference and Workshops on Automatic Face and …, 2013 | 22 | 2013 |
| A brief summary of dictionary learning based approach for classification (revised) S Kong, D Wang arXiv preprint arXiv:1205.6544, 2012 | 19 | 2012 |
| Integration of multi-feature fusion and dictionary learning for face recognition D Wang, X Wang, S Kong image and vision computing 31 (12), 895-904, 2013 | 18 | 2013 |
| Zero-shot learning with generative latent prototype model Y Li, D Wang arXiv preprint arXiv:1705.09474, 2017 | 17 | 2017 |
| Cross-media topic mining on wikipedia X Wang, Y Liu, D Wang, F Wu Proceedings of the 21st ACM international conference on Multimedia, 689-692, 2013 | 15 | 2013 |
| Learning multimodal neural network with ranking examples X Lu, F Wu, X Li, Y Zhang, W Lu, D Wang, Y Zhuang Proceedings of the 22nd ACM international conference on Multimedia, 985-988, 2014 | 14 | 2014 |
| Feature Enhancement in Attention for Visual Question Answering. Y Lin, Z Pang, D Wang, Y Zhuang IJCAI, 4216-4222, 2018 | 12 | 2018 |
| Transfer heterogeneous unlabeled data for unsupervised clustering S Kong, D Wang Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 12 | 2012 |
| Feature selection from high-order tensorial data via sparse decomposition D Wang, S Kong Pattern Recognition Letters 33 (13), 1695-1702, 2012 | 12 | 2012 |
| Fast and high-accuracy spectral measurements of LED by linear CCD sensor and software calibration D Wang, H Qian, X Yuan Advanced Materials and Devices for Sensing and Imaging II 5633, 578-584, 2005 | 11 | 2005 |
| Comparing 3-D protein structures similarity by using fractal features C Cui, D Wang, J Shi Proceedings. 2004 IEEE Computational Systems Bioinformatics Conference, 2004 …, 2004 | 11 | 2004 |
| A multi-task learning strategy for unsupervised clustering via explicitly separating the commonality S Kong, D Wang Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 10 | 2012 |
| Background subtraction based on nonparametric Bayesian estimation Y He, D Wang, M Zhu Proceedings of SPIE 8009, 80090G, 2011 | 10 | 2011 |
Shu KongTexas A&M UniversityVerified email at tamu.edu
