| Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks H Zhang, T Xu, H Li, S Zhang, X Huang, X Wang, D Metaxas IEEE Int. Conf. Comput. Vision (ICCV), 5907-5915, 2017 | 1398 | 2017 |
| Stackgan++: Realistic image synthesis with stacked generative adversarial networks H Zhang, T Xu, H Li, S Zhang, X Wang, X Huang, DN Metaxas IEEE transactions on pattern analysis and machine intelligence 41 (8), 1947-1962, 2018 | 365 | 2018 |
| Efficient MR image reconstruction for compressed MR imaging J Huang, S Zhang, D Metaxas Medical Image Analysis 15 (5), 670–679, 2011 | 305 | 2011 |
| Pose-free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model X Yu, J Huang, S Zhang, W Yan, DN Metaxas International Conference on Computer Vision, 2013 | 268 | 2013 |
| Towards robust and effective shape modeling: Sparse shape composition S Zhang, Y Zhan, M Dewan, J Huang, DN Metaxas, XS Zhou Medical Image Analysis 16 (1), 265–277, 2012 | 261 | 2012 |
| Image retrieval via probabilistic hypergraph ranking Y Huang, Q Liu, S Zhang, DN Metaxas 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 255 | 2010 |
| Automatic image annotation using group sparsity S Zhang, J Huang, Y Huang, Y Yu, H Li, DN Metaxas Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on …, 2010 | 217 | 2010 |
| Query specific fusion for image retrieval S Zhang, M Yang, T Cour, K Yu, DN Metaxas European Conference on Computer Vision, 660-673, 2012 | 199 | 2012 |
| SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-grained Recognition H Zhang, T Xu, M Elhoseiny, X Huang, S Zhang, A Elgammal, D Metaxas | 191 | 2016 |
| Towards Large-Scale Histopathological Image Analysis: Hashing-Based Image Retrieval X Zhang, W Liu, M Dundar, S Badve, S Zhang IEEE Transactions on Medical Imaging 34 (2), 496-506, 2015 | 183 | 2015 |
| Query Specific Rank Fusion for Image Retrieval S Zhang, M Yang, T Cour, K Yu, DN Metaxas IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (4), 803-815, 2015 | 165 | 2015 |
| Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition Z Yan, Y Zhan, Z Peng, S Liao, Y Shinagawa, S Zhang, DN Metaxas, ... IEEE transactions on medical imaging 35 (5), 1332-1343, 2016 | 154 | 2016 |
| Embedding label structures for fine-grained feature representation X Zhang, F Zhou, Y Lin, S Zhang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 153 | 2016 |
| Deformable segmentation via sparse representation and dictionary learning S Zhang, Y Zhan, DN Metaxas Medical Image Analysis 16 (7), 1385-1396, 2012 | 152 | 2012 |
| Multispectral Deep Neural Networks for Pedestrian Detection J Liu, S Zhang, S Wang, DN Metaxas arXiv preprint arXiv:1611.02644, 2016 | 136 | 2016 |
| Learning binary codes for maximum inner product search F Shen, W Liu, S Zhang, Y Yang, H Tao Shen Proceedings of the IEEE International Conference on Computer Vision, 4148-4156, 2015 | 118 | 2015 |
| Automatic image annotation and retrieval using group sparsity S Zhang, J Huang, H Li, DN Metaxas IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 42 …, 2012 | 105 | 2012 |
| Computer-Aided Diagnosis of Mammographic Masses Using Scalable Image Retrieval M Jiang, S Zhang, H Li, D Metaxas IEEE Transactions on Biomedical Engineering 62 (2), 783-792, 2015 | 102 | 2015 |
| Background Subtraction Using Low Rank and Group Sparsity Constraints X Cui, J Huang, S Zhang, DN Metaxas European Conference on Computer Vision, 612-625, 2012 | 100 | 2012 |
| Composite splitting algorithms for convex optimization J Huang, S Zhang, H Li, D Metaxas Computer Vision and Image Understanding 115 (12), 1610-1622, 2011 | 96 | 2011 |
Dimitris N. MetaxasDistinguished Professor of Computer Science, Rutgers UniversityGeverifieerd e-mailadres voor cs.rutgers.edu
