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2020 – today
- 2024
[c14]Thang Doan, Xin Li, Sima Behpour, Wenbin He, Liang Gou, Liu Ren:
Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection. AAAI 2024: 1555-1563- [c13]Xiaoqi Wang, Wenbin He, Xiwei Xuan, Clint Sebastian, Jorge Piazentin Ono, Xin Li, Sima Behpour, Thang Doan, Liang Gou, Han-Wei Shen, Liu Ren:
USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation. CVPR 2024: 4187-4196 - [c12]Sanbao Su, Xin Li, Thang Long Doan, Sima Behpour, Wenbin He, Liang Gou, Fei Miao, Liu Ren:
MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks. ECCV (78) 2024: 325-342 - [i9]Thang Doan, Sima Behpour, Xin Li, Wenbin He, Liang Gou, Liu Ren:
A streamlined Approach to Multimodal Few-Shot Class Incremental Learning for Fine-Grained Datasets. CoRR abs/2403.06295 (2024) - [i8]Xiaoqi Wang, Wenbin He, Xiwei Xuan, Clint Sebastian, Jorge Piazentin Ono, Xin Li, Sima Behpour, Thang Doan, Liang Gou, Han-Wei Shen, Liu Ren:
USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation. CoRR abs/2406.05271 (2024) - 2023
- [c11]Sima Behpour, Thang Long Doan, Xin Li, Wenbin He, Liang Gou, Liu Ren:
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients. NeurIPS 2023 - [c10]Xin Li, Sima Behpour, Thang Long Doan, Wenbin He, Liang Gou, Liu Ren:
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models. NeurIPS 2023 - [i7]Thang Doan, Xin Li, Sima Behpour, Wenbin He, Liang Gou, Liu Ren:
Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection. CoRR abs/2306.14291 (2023) - [i6]Xin Li, Sima Behpour, Thang Doan, Wenbin He, Liang Gou, Liu Ren:
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models. CoRR abs/2307.11227 (2023) - [i5]Sima Behpour, Thang Doan, Xin Li, Wenbin He, Liang Gou, Liu Ren:
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients. CoRR abs/2308.00310 (2023) - 2022
- [j1]Hmrishav Bandyopadhyay
, Zihao Deng, Leiting Ding, Sinuo Liu, Mostofa Rafid Uddin, Xiangrui Zeng, Sima Behpour, Min Xu:
Cryo-shift: reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization. Bioinform. 38(4): 977-984 (2022) - 2021
- [c9]Xiaoyu Zhu, Jeffrey Chen, Xiangrui Zeng, Junwei Liang, Chengqi Li, Sinuo Liu, Sima Behpour, Min Xu:
Weakly Supervised 3D Semantic Segmentation Using Cross-Image Consensus and Inter-Voxel Affinity Relations. ICCV 2021: 2814-2824 - [c8]Seungwon Lee, Sima Behpour, Eric Eaton:
Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer. ICML 2021: 6065-6075 - [i4]Hmrishav Bandyopadhyay, Zihao Deng, Leiting Ding, Sinuo Liu, Mostofa Rafid Uddin, Xiangrui Zeng, Sima Behpour, Min Xu:
Cryo-shift: Reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization. CoRR abs/2111.09114 (2021)
2010 – 2019
- 2019
- [c7]Sima Behpour, Anqi Liu, Brian D. Ziebart:
Active Learning for Probabilistic Structured Prediction of Cuts and Matchings. ICML 2019: 563-572 - [c6]Sima Behpour, Kris M. Kitani, Brian D. Ziebart:
ADA: Adversarial Data Augmentation for Object Detection. WACV 2019: 1243-1252 - [i3]Sima Behpour:
Active Learning in Video Tracking. CoRR abs/1912.12557 (2019) - 2018
- [c5]Sima Behpour, Wei Xing, Brian D. Ziebart:
ARC: Adversarial Robust Cuts for Semi-Supervised and Multi-Label Classification. AAAI 2018: 2704-2711 - [c4]Sima Behpour:
ARC: Adversarial Robust Cuts for Semi-Supervised and Multi-Label Classification. CVPR Workshops 2018: 1905-1907 - [c3]Rizal Fathony, Sima Behpour, Xinhua Zhang, Brian D. Ziebart:
Efficient and Consistent Adversarial Bipartite Matching. ICML 2018: 1456-1465 - [i2]Rizal Fathony, Kaiser Asif, Anqi Liu, Mohammad Ali Bashiri, Wei Xing, Sima Behpour, Xinhua Zhang, Brian D. Ziebart:
Consistent Robust Adversarial Prediction for General Multiclass Classification. CoRR abs/1812.07526 (2018) - 2017
- [i1]Sima Behpour, Kris M. Kitani, Brian D. Ziebart:
Adversarially Optimizing Intersection over Union for Object Localization Tasks. CoRR abs/1710.07735 (2017) - 2015
- [c2]Sima Behpour, Brian D. Ziebart:
A Minimax Robust Approach for Learning to Assist Users with Pointing Tasks. AAAI Workshop: Artificial Intelligence Applied to Assistive Technologies and Smart Environments 2015 - [c1]Kaiser Asif, Wei Xing, Sima Behpour, Brian D. Ziebart:
Adversarial Cost-Sensitive Classification. UAI 2015: 92-101
Coauthor Index
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