Amirreza Shaban
Amirreza Shaban
Postdoctoral Researcher, University of Washington
Verified email at
Cited by
Cited by
One-Shot Learning for Semantic Segmentation
A Shaban, S Bansal, Z Liu, I Essa, B Boots
British Machine Vision Conference, 2017
Truncated Back-propagation for Bilevel Optimization
A Shaban, CA Cheng, N Hatch, B Boots
International Conference on Artificial Intelligence and Statistics, 2019
From local similarity to global coding: An application to image classification
A Shaban, HR Rabiee, M Farajtabar, M Ghazvininejad
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
MMTM: Multimodal Transfer Module for CNN Fusion
HRV Joze, A Shaban, ML Iuzzolino, K Koishida
IEEE Conference on Computer Vision and Pattern Recognition, 2020
Learning Latent Variable Models by Improving Spectral Solutions with Exterior Point Method.
A Shaban, M Farajtabar, B Xie, L Song, B Boots
UAI, 792-801, 2015
Intra order-preserving functions for calibration of multi-class neural networks
A Rahimi, A Shaban, CA Cheng, R Hartley, B Boots
Advances in Neural Information Processing Systems 33, 13456-13467, 2020
Deep Forward and Inverse Perceptual Models for Tracking and Prediction
A Lambert, A Shaban, A Raj, Z Liu, B Boots
International Conference on Robotics and Automation, 2018
Multiple-instance video segmentation with sequence-specific object proposals
A Shaban, A Firl, A Humayun, J Yuan, X Wang, P Lei, N Dhanda, B Boots, ...
CVPR Workshop 1, 2017
Manifold coarse graining for online semi-supervised learning
M Farajtabar, A Shaban, HR Rabiee, MH Rohban
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011
Learning to Find Common Objects Across Few Image Collections
A Shaban, A Rahimi, S Bansal, S Gould, B Boots, R Hartley
Proceedings of the IEEE International Conference on Computer Vision, 5117-5126, 2019
Cascading randomized weighted majority: A new online ensemble learning algorithm
M Zamani, H Beigy, A Shaban
Intelligent Data Analysis 20 (4), 877-889, 2016
One-shot learning for semantic segmentation. arXiv 2017
A Shaban, S Bansal, Z Liu, I Essa, B Boots
arXiv preprint arXiv:1709.03410, 0
Pairwise Similarity Knowledge Transfer for Weakly Supervised Object Localization
A Rahimi, A Shaban, T Ajanthan, R Hartley, B Boots
European Conference on Computer Vision, 2020
Efficient iterative semi-supervised classification on manifold
M Farajtabar, HR Rabiee, A Shaban, A Soltani-Farani
2011 IEEE 11th International Conference on Data Mining Workshops, 228-235, 2011
A Robotic 3D Perception System for Operating Room Environment Awareness
Z Li, A Shaban, JG Simard, D Rabindran, S DiMaio, O Mohareri
International Conference on Information Processing in Computer-Assisted …, 2020
Learning clinical outcomes from heterogeneous genomic data sources
S Yousefi, A Shaban, M Amgad, R Chandradevan, LAD Cooper
arXiv preprint arXiv:1904.01637, 2019
Semantic Terrain Classification for Off-Road Autonomous Driving
A Shaban, X Meng, JH Lee, B Boots, D Fox
5th Annual Conference on Robot Learning, 2021
Few-shot Weakly-Supervised Object Detection via Directional Statistics
A Shaban, A Rahimi, T Ajanthan, B Boots, R Hartley
arXiv preprint arXiv:2103.14162, 2021
Low-Shot Learning for Object Recognition, Detection, and Segmentation
A Shaban
Georgia Institute of Technology, 2020
Online Object Representation Learning and its Application to Object Tracking
A Shaban, HR Rabiee, M Farajtabar, M Fadaee
2013 AAAI Spring Symposium Series, 2013
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