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Sima Behpour
Sima Behpour
Carnegie Mellon University
Geverifieerd e-mailadres voor samsung.com
Titel
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Jaar
Adversarial Cost-Sensitive Classification.
K Asif, W Xing, S Behpour, BD Ziebart
UAI, 92-101, 2015
562015
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
212018
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
182019
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
172021
Efficient and consistent adversarial bipartite matching
R Fathony, S Behpour, X Zhang, B Ziebart
International Conference on Machine Learning, 1457-1466, 2018
172018
Pattern Recognition in Computational Molecular Biology: Techniques and Approaches
M Elloumi, C Iliopoulos, JTL Wang, AY Zomaya
John Wiley & Sons, 2015
172015
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
112021
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
102018
Active learning for probabilistic structured prediction of cuts and matchings
S Behpour, A Liu, B Ziebart
International Conference on Machine Learning, 563-572, 2019
82019
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
62018
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
42024
Active learning in video tracking
S Behpour
arXiv preprint arXiv:1912.12557, 2019
32019
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
32015
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, 2024
22024
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
22022
Adversarially optimizing intersection over union for object localization tasks
S Behpour, KM Kitani, BD Ziebart
CoRR, abs/1710.07735, 2017
22017
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, 2024
12024
ADA: A game-theoretic perspective on data augmentation for object detection
S Behpour, KM Kitani, BD Ziebart
arXiv preprint arXiv:1710.07735, 2017
12017
Adversarial methods improve object localization
S Behpour, BD Ziebart
Advances in Neural Information Processing Systems Workshop, 2016
12016
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
2024
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Artikelen 1–20