| 2025 | CVPR | Open Ad-hoc Categorization with Contextualized Feature Learning. | Zilin Wang, Sangwoo Mo, Stella X. Yu, Sima Behpour, Liu Ren |
| 2024 | AAAI | Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection. | Thang Doan, Xin Li, Sima Behpour, Wenbin He, Liang Gou, Liu Ren |
| 2024 | CVPR | USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation. | Xiaoqi Wang, Wenbin He, Xiwei Xuan, Clint Sebastian, Jorge Piazentin Ono, Xin Li, Sima Behpour, Thang Doan, Liang Gou, Han-Wei Shen, Liu Ren |
| 2024 | ECCV | MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks. | Sanbao Su, Xin Li, Thang Long Doan, Sima Behpour, Wenbin He, Liang Gou, Fei Miao, Liu Ren |
| 2021 | ICCV | Weakly Supervised 3D Semantic Segmentation Using Cross-Image Consensus and Inter-Voxel Affinity Relations. | Xiaoyu Zhu, Jeffrey Chen, Xiangrui Zeng, Junwei Liang, Chengqi Li, Sinuo Liu, Sima Behpour, Min Xu |
| 2021 | ICML | Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer. | Seungwon Lee, Sima Behpour, Eric Eaton |
| 2019 | ICML | Active Learning for Probabilistic Structured Prediction of Cuts and Matchings. | Sima Behpour, Anqi Liu, Brian D. Ziebart |
| 2019 | WACV | ADA: Adversarial Data Augmentation for Object Detection. | Sima Behpour, Kris M. Kitani, Brian D. Ziebart |
| 2018 | AAAI | ARC: Adversarial Robust Cuts for Semi-Supervised and Multi-Label Classification. | Sima Behpour, Wei Xing, Brian D. Ziebart |
| 2018 | CVPR | ARC: Adversarial Robust Cuts for Semi-Supervised and Multi-Label Classification. | Sima Behpour |
| 2018 | ICML | Efficient and Consistent Adversarial Bipartite Matching. | Rizal Fathony, Sima Behpour, Xinhua Zhang, Brian D. Ziebart |
| 2015 | AAAI | A Minimax Robust Approach for Learning to Assist Users with Pointing Tasks. | Sima Behpour, Brian D. Ziebart |
| 2015 | UAI | Adversarial Cost-Sensitive Classification. | Kaiser Asif, Wei Xing, Sima Behpour, Brian D. Ziebart |