Sima Behpour

According to our database1, Sima Behpour authored at least 19 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
A streamlined Approach to Multimodal Few-Shot Class Incremental Learning for Fine-Grained Datasets.
CoRR, 2024

Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection.
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.
CoRR, 2023

UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models.
CoRR, 2023

UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models.
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.
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.
Bioinform., 2022

2021
Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer.
Proceedings of the 38th International Conference on Machine Learning, 2021

Weakly Supervised 3D Semantic Segmentation Using Cross-Image Consensus and Inter-Voxel Affinity Relations.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2019
Active Learning in Video Tracking.
CoRR, 2019

ADA: Adversarial Data Augmentation for Object Detection.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Active Learning for Probabilistic Structured Prediction of Cuts and Matchings.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Consistent Robust Adversarial Prediction for General Multiclass Classification.
CoRR, 2018

Efficient and Consistent Adversarial Bipartite Matching.
Proceedings of the 35th International Conference on Machine Learning, 2018

ARC: Adversarial Robust Cuts for Semi-Supervised and Multi-Label Classification.
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.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Adversarially Optimizing Intersection over Union for Object Localization Tasks.
CoRR, 2017

2015
Adversarial Cost-Sensitive Classification.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

A Minimax Robust Approach for Learning to Assist Users with Pointing Tasks.
Proceedings of the Artificial Intelligence Applied to Assistive Technologies and Smart Environments, 2015


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