| Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks H Zhang, T Xu, H Li, S Zhang, X Wang, X Huang, D Metaxas IEEE Int. Conf. Comput. Vision (ICCV), 5907-5915, 2017 | 3667 | 2017 |
| Attngan: Fine-grained text to image generation with attentional generative adversarial networks T Xu, P Zhang, Q Huang, H Zhang, Z Gan, X Huang, X He Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 2044 | 2018 |
| StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks H Zhang, T Xu, H Li, S Zhang, X Wang, X Huang, D Metaxas arXiv preprint arXiv:1710.10916, 2017 | 1590 | 2017 |
| SegAN: adversarial network with multi-scale L1 loss for medical image segmentation Y Xue, T Xu, H Zhang, LR Long, X Huang Neuroinformatics 16 (3), 383-392, 2018 | 677 | 2018 |
| 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 CVPR, 2016 | 357 | 2016 |
| Fbnetv2: Differentiable neural architecture search for spatial and channel dimensions A Wan, X Dai, P Zhang, Z He, Y Tian, S Xie, B Wu, M Yu, T Xu, K Chen, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 347 | 2020 |
| Multimodal recurrent model with attention for automated radiology report generation Y Xue, T Xu, L Rodney Long, Z Xue, S Antani, GR Thoma, X Huang International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 228 | 2018 |
| Multimodal Deep Learning for Cervical Dysplasia Diagnosis T Xu, H Zhang, X Huang, S Zhang, DN Metaxas International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 218 | 2016 |
| On the discrimination-generalization tradeoff in GANs P Zhang, Q Liu, D Zhou, T Xu, X He arXiv preprint arXiv:1711.02771, 2017 | 136 | 2017 |
| Multi-feature based benchmark for cervical dysplasia classification evaluation T Xu, H Zhang, C Xin, E Kim, LR Long, Z Xue, S Antani, X Huang Pattern Recognition 63, 468-475, 2017 | 131 | 2017 |
| Adversarial learning with multi-scale loss for skin lesion segmentation Y Xue, T Xu, X Huang 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 59 | 2018 |
| Crowd density estimation based on local binary pattern co-occurrence matrix Z Wang, H Liu, Y Qian, T Xu 2012 IEEE International Conference on Multimedia and Expo Workshops, 372-377, 2012 | 56 | 2012 |
| Low bandwidth video-chat compression using deep generative models M Oquab, P Stock, D Haziza, T Xu, P Zhang, O Celebi, Y Hasson, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 43 | 2021 |
| Adjustable adaboost classifier and pyramid features for image-based cervical cancer diagnosis T Xu, E Kim, X Huang 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 281-285, 2015 | 39 | 2015 |
| Real-time plane segmentation and obstacle detection of 3d point clouds for indoor scenes Z Wang, H Liu, Y Qian, T Xu European Conference on Computer Vision, 22-31, 2012 | 32 | 2012 |
| Related HOG features for human detection using cascaded adaboost and SVM classifiers H Liu, T Xu, X Wang, Y Qian Advances in Multimedia Modeling, 345-355, 2013 | 26 | 2013 |
| Deep image synthesis from intuitive user input: A review and perspectives Y Xue, YC Guo, H Zhang, T Xu, SH Zhang, X Huang Computational Visual Media 8 (1), 3-31, 2022 | 25 | 2022 |
| A new image data set and benchmark for cervical dysplasia classification evaluation T Xu, C Xin, L Rodney Long, S Antani, Z Xue, E Kim, X Huang International Workshop on Machine Learning in Medical Imaging, 26-35, 2015 | 25 | 2015 |
| Multi-test cervical cancer diagnosis with missing data estimation T Xu, X Huang, E Kim, LR Long, S Antani Medical imaging 2015: Computer-aided diagnosis 9414, 236-243, 2015 | 17 | 2015 |
| A novel method for people and vehicle classification based on Hough line feature T Xu, H Liu, Y Qian, H Zhang International Conference on Information Science and Technology, 240-245, 2011 | 17 | 2011 |
Sharon X. HuangProfessor in College of Information Sciences and Technology at Penn State UniversityEmail confirmado em psu.edu
