| Stacked Generative Adversarial Networks X Huang, Y Li, O Poursaeed, JE Hopcroft, SJ Belongie IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 3047* | 2017 |
| Differential Privacy Has Disparate Impact on Model Accuracy E Bagdasaryan, O Poursaeed, V Shmatikov Neural Information Processing Systems (NeurIPS), 2019 | 291 | 2019 |
| Generative adversarial perturbations O Poursaeed, I Katsman, B Gao, S Belongie IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 282 | 2018 |
| Vision-based real estate price estimation O Poursaeed, T Matera, S Belongie Machine Vision and Applications (MVA), 2018 | 123 | 2018 |
| Self-supervised Learning of Point Clouds via Orientation Estimation O Poursaeed, T Jiang, Q Qiao, N Xu, VG Kim International Conference on 3D Vision (3DV), 2020 | 62 | 2020 |
| Deep Fundamental Matrix Estimation without Correspondences O Poursaeed, G Yang, A Prakash, Q Fang, H Jiang, B Hariharan, ... European Conference on Computer Vision (ECCV), 2018 | 45 | 2018 |
| Generating a digital image using a generative adversarial network M Kiapour, S Zheng, R Piramuthu, O Poursaeed US Patent 10,552,714, 2020 | 31 | 2020 |
| Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling O Poursaeed, M Fisher, N Aigerman, VG Kim European Conference on Computer Vision (ECCV), 2020 | 27 | 2020 |
| Robustness and Generalization via Generative Adversarial Training O Poursaeed, H Yang, S Belongie, SN Lim International Conference on Computer Vision (ICCV), 2021 | 12 | 2021 |
| Fine-grained Synthesis of Unrestricted Adversarial Examples O Poursaeed, T Jiang, H Yang, S Belongie, SN Lim arXiv preprint 1911.09058, 2019 | 11 | 2019 |
| Neural Puppet: Generative Layered Cartoon Characters O Poursaeed, VG Kim, E Shechtman, J Saito, S Belongie Winter Conference on Applications of Computer Vision (WACV), 2019 | 11 | 2019 |
| Object animation using generative neural networks V Kim, O Poursaeed, J Saito, E Shechtman US Patent 10,977,549, 2021 | 5 | 2021 |
| Augmentation-Interpolative AutoEncoders for Unsupervised Few-Shot Image Generation D Wertheimer, O Poursaeed, B Hariharan International Conference on Learning Representations (ICLR), 2020 | 5 | 2020 |
| Resource allocation using fragmented-spectrum synchronous OFDM-CDMA in cognitive radio networks F Akhoondi, O Poursaeed, JA Salehi IEEE IWCIT, 2014 | 3 | 2014 |
| Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learning J Mukhoti, TY Lin, O Poursaeed, R Wang, A Shah, PHS Torr, SN Lim IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 2 | 2022 |
| Analytical studies of fragmented-spectrum multi-level OFDM-CDMA technique in cognitive radio networks F Akhoundi, S Sharifi-Malvajerdi, O Poursaeed, JA Salehi IEEE UEMCON, 2016 | 1 | 2016 |
| Universal Pyramid Adversarial Training for Improved ViT Performance P Chiang, Y Zhou, O Poursaeed, SN Shukla, T Goldstein, SN Lim | | 2022 |
| A Unified Model for Tracking and Image-Video Detection Has More Power P Liu, R Wang, P Zhang, O Poursaeed, Y Zhou, X Cao, SD Roy, A Shah, ... arXiv preprint arXiv:2211.11077, 2022 | | 2022 |
| Learning hybrid (surface-based and volume-based) shape representation V Kim, O Poursaeed, N Aigerman, M Fisher US Patent 11,403,807, 2022 | | 2022 |
| Hybrid Generative Models for 2D and 3D Computer Vision O Poursaeed Cornell University, 2020 | | 2020 |
Sharon Yixuan LiUniversity of Wisconsin-MadisonVerified email at cs.wisc.edu
