Mohammad Rostami
Mohammad Rostami
University of Southern California
Geverifieerd e-mailadres voor seas.upenn.edu - Homepage
Geciteerd door
Geciteerd door
Explainability methods for graph convolutional neural networks
PE Pope, S Kolouri, M Rostami, CE Martin, H Hoffmann
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Deep transfer learning for few-shot SAR image classification
M Rostami, S Kolouri, E Eaton, K Kim
Remote Sensing 11 (11), 1374, 2019
Using Task Features for Zero-Shot Knowledge Transfer in Lifelong Learning.
D Isele, M Rostami, E Eaton
IJCAI 16, 1620-1626, 2016
SSIM-inspired image restoration using sparse representation
A Rehman, M Rostami, Z Wang, D Brunet, ER Vrscay
EURASIP Journal on Advances in Signal Processing 2012, 1-12, 2012
Complementary learning for overcoming catastrophic forgetting using experience replay
M Rostami, S Kolouri, PK Pilly
IJCAI 19, 3339-3345, 2019
Image deblurring using derivative compressed sensing for optical imaging application
M Rostami, O Michailovich, Z Wang
IEEE transactions on image processing 21 (7), 3139-3149, 2012
Unsupervised model adaptation for continual semantic segmentation
S Stan, M Rostami
Proceedings of the AAAI conference on artificial intelligence 35 (3), 2593-2601, 2021
Sar image classification using few-shot cross-domain transfer learning
M Rostami, S Kolouri, E Eaton, K Kim
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Lifelong domain adaptation via consolidated internal distribution
M Rostami
Advances in neural information processing systems 34, 11172-11183, 2021
Generative continual concept learning
M Rostami, S Kolouri, P Pilly, J McClelland
Proceedings of the AAAI conference on artificial intelligence 34 (04), 5545-5552, 2020
Climb: A continual learning benchmark for vision-and-language tasks
T Srinivasan, TY Chang, L Pinto Alva, G Chochlakis, M Rostami, ...
Advances in Neural Information Processing Systems 35, 29440-29453, 2022
Objective quality assessment of interpolated natural images
H Yeganeh, M Rostami, Z Wang
IEEE Transactions on Image Processing 24 (11), 4651-4663, 2015
Privacy preserving domain adaptation for semantic segmentation of medical images
S Stan, M Rostami
British Machine Vision Conference, 2022
Detection and continual learning of novel face presentation attacks
M Rostami, L Spinoulas, M Hussein, J Mathai, W Abd-Almageed
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
A crowdsourcing triage algorithm for geopolitical event forecasting
M Rostami, D Huber, TC Lu
Proceedings of the 12th ACM Conference on Recommender Systems, 377-381, 2018
Objective quality assessment for image super-resolution: A natural scene statistics approach
H Yeganeh, M Rostami, Z Wang
2012 19th IEEE International Conference on Image Processing, 1481-1484, 2012
Learn continually, generalize rapidly: Lifelong knowledge accumulation for few-shot learning
X Jin, BY Lin, M Rostami, X Ren
Findings of the Association for Computational Linguistics: EMNLP, 2021
Using task descriptions in lifelong machine learning for improved performance and zero-shot transfer
M Rostami, D Isele, E Eaton
Journal of Artificial Intelligence Research 67, 673-704, 2020
One-shot learning for temporal knowledge graphs
M Mirtaheri, M Rostami, X Ren, F Morstatter, A Galstyan
Proceeding of Automated Knowledge Base Construction, 2021
Multi-agent distributed lifelong learning for collective knowledge acquisition
M Rostami, S Kolouri, K Kim, E Eaton
Proceedings of the 17th International Conference on Autonomous Agents and …, 2018
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