| Adversarial Cost-Sensitive Classification. K Asif, W Xing, S Behpour, BD Ziebart UAI, 92-101, 2015 | 59 | 2015 |
| Ada: Adversarial data augmentation for object detection S Behpour, KM Kitani, BD Ziebart 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1243-1252, 2019 | 22 | 2019 |
| ARC: Adversarial Robust Cuts for Semi-Supervised and Multi-Label Classification S Behpour, W Xing, BD Ziebart AAAI Conference on Artificial Intelligence 32 (1), 2018 | 22 | 2018 |
| Sharing less is more: Lifelong learning in deep networks with selective layer transfer S Lee, S Behpour, E Eaton International Conference on Machine Learning, 6065-6075, 2021 | 21 | 2021 |
| Weakly supervised 3d semantic segmentation using cross-image consensus and inter-voxel affinity relations X Zhu, J Chen, X Zeng, J Liang, C Li, S Liu, S Behpour, M Xu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 20 | 2021 |
| Efficient and consistent adversarial bipartite matching R Fathony, S Behpour, X Zhang, B Ziebart International Conference on Machine Learning, 1457-1466, 2018 | 19 | 2018 |
| Pattern Recognition in Computational Molecular Biology: Techniques and Approaches M Elloumi, C Iliopoulos, JTL Wang, AY Zomaya John Wiley & Sons, 2015 | 17 | 2015 |
| Gradorth: A simple yet efficient out-of-distribution detection with orthogonal projection of gradients S Behpour, TL Doan, X Li, W He, L Gou, L Ren Advances in Neural Information Processing Systems 36, 38206-38230, 2023 | 12 | 2023 |
| Consistent robust adversarial prediction for general multiclass classification R Fathony, K Asif, A Liu, MA Bashiri, W Xing, S Behpour, X Zhang, ... arXiv preprint arXiv:1812.07526, 2018 | 10 | 2018 |
| Active learning for probabilistic structured prediction of cuts and matchings S Behpour, A Liu, B Ziebart International Conference on Machine Learning, 563-572, 2019 | 8 | 2019 |
| Hyp-ow: Exploiting hierarchical structure learning with hyperbolic distance enhances open world object detection T Doan, X Li, S Behpour, W He, L Gou, L Ren Proceedings of the AAAI Conference on Artificial Intelligence 38 (2), 1555-1563, 2024 | 7 | 2024 |
| WiCV 2018: the fourth women in computer vision workshop I Demir, D Bazazian, A Romero, V Sharmanska, LP Tchapmi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 7 | 2018 |
| UP-DP: unsupervised prompt learning for data pre-selection with vision-language models X Li, S Behpour, TL Doan, W He, L Gou, L Ren Advances in Neural Information Processing Systems 36, 2188-2206, 2023 | 6 | 2023 |
| Cryo-shift: reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization H Bandyopadhyay, Z Deng, L Ding, S Liu, MR Uddin, X Zeng, S Behpour, ... Bioinformatics 38 (4), 977-984, 2022 | 6 | 2022 |
| USE: Universal segment embeddings for open-vocabulary image segmentation X Wang, W He, X Xuan, C Sebastian, JP Ono, X Li, S Behpour, T Doan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 4 | 2024 |
| Active learning in video tracking S Behpour arXiv preprint arXiv:1912.12557, 2019 | 3 | 2019 |
| Addressing covariate shift in active learning with adversarial prediction A Liu, K Asif, W Xing, S Behpour, B D Ziebart, L Reyzin ICML 2015 workshop of Active learning, 2015 | 3 | 2015 |
| ADA: a game-theoretic perspective on data augmentation for object detection S Behpour, KM Kitani, BD Ziebart arXiv preprint arXiv:1710.07735, 2017 | 2 | 2017 |
| Adversarially optimizing intersection over union for object localization tasks S Behpour, KM Kitani, BD Ziebart CoRR, abs/1710.07735, 2017 | 2 | 2017 |
| A streamlined Approach to Multimodal Few-Shot Class Incremental Learning for Fine-Grained Datasets T Doan, S Behpour, X Li, W He, L Gou, L Ren arXiv preprint arXiv:2403.06295, 2024 | 1 | 2024 |
Brian D ZiebartProfessor of Computer Science, University of Illinois at ChicagoVahvistettu sähköpostiosoite verkkotunnuksessa uic.edu