Sima Behpour - RankMe

26 papers A* 10A 2Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Open Ad-hoc Categorization with Contextualized Feature Learning. CVPR Zilin Wang, Sangwoo Mo, Stella X. Yu, Sima Behpour, Liu Ren
2025	J	`jnl`	Open Ad-hoc Categorization with Contextualized Feature Learning. CoRR Zilin Wang, Sangwoo Mo, Stella X. Yu, Sima Behpour, Liu Ren
2024	J	`jnl`	A streamlined Approach to Multimodal Few-Shot Class Incremental Learning for Fine-Grained Datasets. CoRR Thang Doan, Sima Behpour, Xin Li, Wenbin He, Liang Gou, Liu Ren
2024	A*	`conf`	Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection. AAAI Thang Doan, Xin Li, Sima Behpour, Wenbin He, Liang Gou, Liu Ren
2024	—	`conf`	MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks. ECCV (78) Sanbao Su, Xin Li, Thang Long Doan, Sima Behpour, Wenbin He, Liang Gou, Fei Miao, Liu Ren
2024	A*	`conf`	USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation. CVPR 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	J	`jnl`	USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation. CoRR Xiaoqi Wang, Wenbin He, Xiwei Xuan, Clint Sebastian, Jorge Piazentin Ono, Xin Li, Sima Behpour, Thang Doan, Liang Gou, Han-Wei Shen, Liu Ren
2023	A*	`conf`	GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients. NeurIPS Sima Behpour, Thang Long Doan, Xin Li, Wenbin He, Liang Gou, Liu Ren
2023	J	`jnl`	GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients. CoRR Sima Behpour, Thang Doan, Xin Li, Wenbin He, Liang Gou, Liu Ren
2023	J	`jnl`	Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection. CoRR Thang Doan, Xin Li, Sima Behpour, Wenbin He, Liang Gou, Liu Ren
2023	A*	`conf`	UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models. NeurIPS Xin Li, Sima Behpour, Thang Long Doan, Wenbin He, Liang Gou, Liu Ren
2023	J	`jnl`	UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models. CoRR Xin Li, Sima Behpour, Thang Doan, Wenbin He, Liang Gou, Liu Ren
2022	J	`jnl`	Cryo-shift: reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization. Bioinform. Hmrishav Bandyopadhyay, Zihao Deng, Leiting Ding, Sinuo Liu, Mostofa Rafid Uddin, Xiangrui Zeng, Sima Behpour, Min Xu
2021	J	`jnl`	Cryo-shift: Reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization. CoRR Hmrishav Bandyopadhyay, Zihao Deng, Leiting Ding, Sinuo Liu, Mostofa Rafid Uddin, Xiangrui Zeng, Sima Behpour, Min Xu
2021	A*	`conf`	Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer. ICML Seungwon Lee, Sima Behpour, Eric Eaton
2021	A*	`conf`	Weakly Supervised 3D Semantic Segmentation Using Cross-Image Consensus and Inter-Voxel Affinity Relations. ICCV Xiaoyu Zhu, Jeffrey Chen, Xiangrui Zeng, Junwei Liang, Chengqi Li, Sinuo Liu, Sima Behpour, Min Xu
2019	A	`conf`	ADA: Adversarial Data Augmentation for Object Detection. WACV Sima Behpour, Kris M. Kitani, Brian D. Ziebart
2019	A*	`conf`	Active Learning for Probabilistic Structured Prediction of Cuts and Matchings. ICML Sima Behpour, Anqi Liu, Brian D. Ziebart
2019	J	`jnl`	Active Learning in Video Tracking. CoRR Sima Behpour
2018	A*	`conf`	ARC: Adversarial Robust Cuts for Semi-Supervised and Multi-Label Classification. AAAI Sima Behpour, Wei Xing, Brian D. Ziebart
2018	—	`conf`	ARC: Adversarial Robust Cuts for Semi-Supervised and Multi-Label Classification. CVPR Workshops Sima Behpour
2018	J	`jnl`	Consistent Robust Adversarial Prediction for General Multiclass Classification. CoRR Rizal Fathony, Kaiser Asif, Anqi Liu, Mohammad Ali Bashiri, Wei Xing, Sima Behpour, Xinhua Zhang, Brian D. Ziebart
2018	A*	`conf`	Efficient and Consistent Adversarial Bipartite Matching. ICML Rizal Fathony, Sima Behpour, Xinhua Zhang, Brian D. Ziebart
2017	J	`jnl`	Adversarially Optimizing Intersection over Union for Object Localization Tasks. CoRR Sima Behpour, Kris M. Kitani, Brian D. Ziebart
2015	—	`conf`	A Minimax Robust Approach for Learning to Assist Users with Pointing Tasks. AAAI Workshop: Artificial Intelligence Applied to Assistive Technologies and Smart Environments Sima Behpour, Brian D. Ziebart
2015	A	`conf`	Adversarial Cost-Sensitive Classification. UAI Kaiser Asif, Wei Xing, Sima Behpour, Brian D. Ziebart