| Large-scale long-tailed recognition in an open world Z Liu, Z Miao, X Zhan, J Wang, B Gong, SX Yu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 984 | 2019 |
| Point to set similarity based deep feature learning for person re-identification S Zhou, J Wang, J Wang, Y Gong, N Zheng Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 180 | 2017 |
| Orthogonal convolutional neural networks J Wang, Y Chen, R Chakraborty, SX Yu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 171 | 2020 |
| Insights and approaches using deep learning to classify wildlife Z Miao, KM Gaynor, J Wang, Z Liu, O Muellerklein, MS Norouzzadeh, ... Scientific Reports 9 (1), 8137, 2019 | 102 | 2019 |
| Deep ranking model by large adaptive margin learning for person re-identification J Wang, S Zhou, J Wang, Q Hou Pattern Recognition 74, 241-252, 2018 | 51 | 2018 |
| A Deep Learning Approach for Meibomian Gland Atrophy Evaluation in Meibography Images J Wang, TN Yeh, R Chakraborty, SX Yu, MC Lin Translational Vision Science & Technology 8 (37), 2019 | 39 | 2019 |
| 3d shape reconstruction from free-hand sketches J Wang, J Lin, Q Yu, R Liu, Y Chen, SX Yu Proceedings of the European Conference on Computer Vision Workshops, 2022 | 31 | 2022 |
| Transformer for 3D Point Clouds J Wang, R Chakraborty, XY Stella IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (8), 4419-4431, 2021 | 31* | 2021 |
| Quantifying meibomian gland morphology using artificial intelligence J Wang, S Li, TN Yeh, R Chakraborty, AD Graham, XY Stella, MC Lin Optometry and Vision Science 98 (9), 1094-1103, 2021 | 20 | 2021 |
| Language-guided global image editing via cross-modal cyclic mechanism W Jiang, N Xu, J Wang, C Gao, J Shi, Z Lin, S Liu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 17 | 2021 |
| Sur-real: Frechet mean and distance transform for complex-valued deep learning R Chakraborty, J Wang, SX Yu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 12 | 2019 |
| Compact and Optimal Deep Learning with Recurrent Parameter Generators J Wang, Y Chen, SX Yu, B Cheung, Y LeCun Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 7 | 2023 |
| Open Long-Tailed Recognition in a Dynamic World Z Liu, Z Miao, X Zhan, J Wang, B Gong, SX Yu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 6 | 2022 |
| SurReal: Fr\'echet Mean and Distance Transform for Complex-Valued Deep Learning R Chakraborty, J Wang, SX Yu arXiv preprint arXiv:1906.10048, 2019 | 6 | 2019 |
| Successive embedding and classification loss for aerial image classification J Wang, P Virtue, SX Yu arXiv preprint arXiv:1712.01511, 2017 | 5 | 2017 |
| Joint embedding and classification for SAR target recognition J Wang, P Virtue, SX Yu arXiv preprint arXiv:1712.01511, 2017 | 5 | 2017 |
| Predicting demographics from meibography using deep learning J Wang, AD Graham, SX Yu, MC Lin Scientific Reports 12 (1), 15701, 2022 | 3 | 2022 |
| Unsupervised scene sketch to photo synthesis J Wang, S Jeon, SX Yu, X Zhang, H Arora, Y Lou Proceedings of the European Conference on Computer Vision Workshops, 2022 | 3 | 2022 |
| Meibomian gland morphology and ghost prediction with deep learning J Wang, S Li, TN Yeh, R Chakraborty, S Yu, MC Lin Investigative Ophthalmology & Visual Science 61 (7), 2634-2634, 2020 | 2 | 2020 |
| Tracking the Dynamics of the Tear Film Lipid Layer T Kothapalli, C Shou, J Ding, J Wang, AD Graham, T Svitova, SX Yu, ... Proceedings of the Conference on Neural Information Processing Systems Workshop, 2022 | 1 | 2022 |
Stella X. YuProfessor of EECS, University of MichiganVerified email at umich.edu
