Sima Behpour

According to our database, Sima Behpour authored at least 21 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A streamlined Approach to Multimodal Few-Shot Class Incremental Learning for Fine-Grained Datasets.

Thang Doan, Sima Behpour, Xin Li, Wenbin He, Liang Gou, Liu Ren

CoRR, 2024

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

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients.

Sima Behpour, Thang Doan, Xin Li, Wenbin He, Liang Gou, Liu Ren

CoRR, 2023

UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models.

Xin Li, Sima Behpour, Thang Doan, Wenbin He, Liang Gou, Liu Ren

CoRR, 2023

UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models.

Xin Li, Sima Behpour, Thang Long Doan, Wenbin He, Liang Gou, Liu Ren

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients.

Sima Behpour, Thang Long Doan, Xin Li, Wenbin He, Liang Gou, Liu Ren

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Cryo-shift: reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization.

Hmrishav Bandyopadhyay, Zihao Deng, Leiting Ding, Sinuo Liu, Mostofa Rafid Uddin, Xiangrui Zeng, Sima Behpour, Min Xu

Bioinform., 2022

2021

Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer.

Seungwon Lee, Sima Behpour, Eric Eaton

Proceedings of the 38th International Conference on Machine Learning, 2021

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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2019

Active Learning in Video Tracking.

Sima Behpour

CoRR, 2019

ADA: Adversarial Data Augmentation for Object Detection.

Sima Behpour, Kris M. Kitani, Brian D. Ziebart

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Active Learning for Probabilistic Structured Prediction of Cuts and Matchings.

Sima Behpour, Anqi Liu, Brian D. Ziebart

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Consistent Robust Adversarial Prediction for General Multiclass Classification.

Rizal Fathony, Kaiser Asif, Anqi Liu, Mohammad Ali Bashiri, Wei Xing, Sima Behpour, Xinhua Zhang, Brian D. Ziebart

CoRR, 2018

Efficient and Consistent Adversarial Bipartite Matching.

Rizal Fathony, Sima Behpour, Xinhua Zhang, Brian D. Ziebart

Proceedings of the 35th International Conference on Machine Learning, 2018

ARC: Adversarial Robust Cuts for Semi-Supervised and Multi-Label Classification.

Sima Behpour

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

ARC: Adversarial Robust Cuts for Semi-Supervised and Multi-Label Classification.

Sima Behpour, Wei Xing, Brian D. Ziebart

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Adversarially Optimizing Intersection over Union for Object Localization Tasks.

Sima Behpour, Kris M. Kitani, Brian D. Ziebart

CoRR, 2017

2015

Adversarial Cost-Sensitive Classification.

Kaiser Asif, Wei Xing, Sima Behpour, Brian D. Ziebart

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

A Minimax Robust Approach for Learning to Assist Users with Pointing Tasks.

Sima Behpour, Brian D. Ziebart

Proceedings of the Artificial Intelligence Applied to Assistive Technologies and Smart Environments, 2015