| One-Shot Learning for Semantic Segmentation A Shaban, S Bansal, Z Liu, I Essa, B Boots British Machine Vision Conference, 2017 | 758 | 2017 |
| MMTM: Multimodal Transfer Module for CNN Fusion HRV Joze*, A Shaban*, ML Iuzzolino, K Koishida IEEE Conference on Computer Vision and Pattern Recognition, 2020 | 330 | 2020 |
| Truncated Back-propagation for Bilevel Optimization A Shaban*, CA Cheng*, N Hatch, B Boots International Conference on Artificial Intelligence and Statistics, 2019 | 271 | 2019 |
| Semantic terrain classification for off-road autonomous driving A Shaban*, X Meng*, JH Lee*, B Boots, D Fox Conference on Robot Learning, 619-629, 2022 | 70 | 2022 |
| 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 | 67 | 2020 |
| 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 | 47 | 2013 |
| TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation X Meng, N Hatch, ..., D Fox, B Boots, A Shaban arXiv preprint arXiv:2303.15771, 2023 | 37 | 2023 |
| 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 | 24 | 2015 |
| 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 | 23 | 2018 |
| 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 | 18 | 2020 |
| 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 | 18 | 2017 |
| CAFA: Class-Aware Feature Alignment for Test-Time Adaptation S Jung, J Lee, N Kim, A Shaban, B Boots, J Choo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 17 | 2023 |
| 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 | 16 | 2020 |
| Manifold coarse graining for online semi-supervised learning M Farajtabar, A Shaban, HR Rabiee, MH Rohban Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011 | 12 | 2011 |
| Few-shot weakly-supervised object detection via directional statistics A Shaban*, A Rahimi*, T Ajanthan, B Boots, R Hartley Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 9 | 2022 |
| Cascading randomized weighted majority: A new online ensemble learning algorithm M Zamani, H Beigy, A Shaban Intelligent Data Analysis 20 (4), 877-889, 2016 | 9 | 2016 |
| 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 | 8 | 2019 |
| LiDAR-UDA: Self-ensembling Through Time for Unsupervised LiDAR Domain Adaptation A Shaban*, JH Lee*, S Jung*, X Meng, B Boots Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 6 | 2023 |
| 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 | 3 | 2011 |
| Learning clinical outcomes from heterogeneous genomic data sources S Yousefi, A Shaban, M Amgad, R Chandradevan, LAD Cooper arXiv preprint arXiv:1904.01637, 2019 | 1 | 2019 |
Byron BootsAssociate Professor, University of WashingtonVerified email at cs.washington.edu
