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2020 – today
- 2023
[c18]Sanghun Jung, Jungsoo Lee, Nanhee Kim, Amirreza Shaban, Byron Boots, Jaegul Choo:
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation. ICCV 2023: 19014-19025- [c17]Amirreza Shaban, Joonho Lee, Sanghun Jung, Xiangyun Meng, Byron Boots:
LiDAR-UDA: Self-ensembling Through Time for Unsupervised LiDAR Domain Adaptation. ICCV 2023: 19727-19737 - [c16]Xiangyun Meng, Nathan Hatch, Alexander Lambert, Anqi Li, Nolan Wagener, Matthew Schmittle, Joonho Lee, Wentao Yuan, Zoey Qiuyu Chen, Samuel Deng, Greg Okopal, Dieter Fox, Byron Boots, Amirreza Shaban:
TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation. Robotics: Science and Systems 2023 - [i13]Xiangyun Meng, Nathan Hatch, Alexander Lambert, Anqi Li, Nolan Wagener, Matthew Schmittle, Joonho Lee, Wentao Yuan, Zoey Qiuyu Chen, Samuel Deng, Greg Okopal, Dieter Fox, Byron Boots, Amirreza Shaban:
TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation. CoRR abs/2303.15771 (2023) - [i12]Amirreza Shaban, Joonho Lee, Sanghun Jung, Xiangyun Meng, Byron Boots:
LiDAR-UDA: Self-ensembling Through Time for Unsupervised LiDAR Domain Adaptation. CoRR abs/2309.13523 (2023) - 2022
- [c15]Amirreza Shaban, Amir Rahimi, Thalaiyasingam Ajanthan, Byron Boots, Richard Hartley:
Few-shot Weakly-Supervised Object Detection via Directional Statistics. WACV 2022: 1040-1049 - 2021
- [c14]Amirreza Shaban, Xiangyun Meng, Joonho Lee, Byron Boots, Dieter Fox:
Semantic Terrain Classification for Off-Road Autonomous Driving. CoRL 2021: 619-629 - [i11]Amirreza Shaban, Amir Rahimi, Thalaiyasingam Ajanthan, Byron Boots, Richard I. Hartley:
Few-shot Weakly-Supervised Object Detection via Directional Statistics. CoRR abs/2103.14162 (2021) - 2020
- [b1]Amirreza Shaban:
Low-Shot Learning for Object Recognition, Detection, and Segmentation. Georgia Institute of Technology, Atlanta, GA, USA, 2020 - [c13]Hamid Reza Vaezi Joze, Amirreza Shaban, Michael L. Iuzzolino, Kazuhito Koishida:
MMTM: Multimodal Transfer Module for CNN Fusion. CVPR 2020: 13286-13296 - [c12]Amir Rahimi, Amirreza Shaban, Thalaiyasingam Ajanthan, Richard I. Hartley, Byron Boots:
Pairwise Similarity Knowledge Transfer for Weakly Supervised Object Localization. ECCV (24) 2020: 395-412 - [c11]Amir Rahimi, Amirreza Shaban, Ching-An Cheng, Richard Hartley, Byron Boots:
Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks. NeurIPS 2020 - [i10]Amir Rahimi, Amirreza Shaban, Ching-An Cheng, Byron Boots, Richard Hartley:
Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks. CoRR abs/2003.06820 (2020) - [i9]Amir Rahimi, Amirreza Shaban, Thalaiyasingam Ajanthan, Richard Hartley, Byron Boots:
In Defense of Graph Inference Algorithms for Weakly Supervised Object Localization. CoRR abs/2003.08375 (2020) - [i8]Zhaoshuo Li, Amirreza Shaban, Jean-Gabriel Simard, Dinesh Rabindran, Simon Peter DiMaio, Omid Mohareri:
A Robotic 3D Perception System for Operating Room Environment Awareness. CoRR abs/2003.09487 (2020)
2010 – 2019
- 2019
- [c10]Amirreza Shaban, Ching-An Cheng, Nathan Hatch, Byron Boots:
Truncated Back-propagation for Bilevel Optimization. AISTATS 2019: 1723-1732 - [c9]Amirreza Shaban, Amir Rahimi, Shray Bansal, Stephen Gould, Byron Boots, Richard Hartley:
Learning to Find Common Objects Across Few Image Collections. ICCV 2019: 5116-5125 - [i7]Amirreza Shaban, Amir Rahimi, Stephen Gould, Byron Boots, Richard I. Hartley:
Learning to Find Common Objects Across Image Collections. CoRR abs/1904.12936 (2019) - [i6]Hamid Reza Vaezi Joze, Amirreza Shaban, Michael L. Iuzzolino, Kazuhito Koishida:
MMTM: Multimodal Transfer Module for CNN Fusion. CoRR abs/1911.08670 (2019) - 2018
- [c8]Alexander Lambert, Amirreza Shaban, Amit Raj, Zhen Liu, Byron Boots:
Deep Forward and Inverse Perceptual Models for Tracking and Prediction. ICRA 2018: 675-682 - [i5]Amirreza Shaban, Ching-An Cheng, Nathan Hatch, Byron Boots:
Truncated Back-propagation for Bilevel Optimization. CoRR abs/1810.10667 (2018) - 2017
- [c7]Amirreza Shaban, Shray Bansal, Zhen Liu, Irfan Essa, Byron Boots:
One-Shot Learning for Semantic Segmentation. BMVC 2017 - [i4]Amirreza Shaban, Shray Bansal, Zhen Liu, Irfan Essa, Byron Boots:
One-Shot Learning for Semantic Segmentation. CoRR abs/1709.03410 (2017) - [i3]Alexander Lambert, Amirreza Shaban, Amit Raj, Zhen Liu, Byron Boots:
Deep Forward and Inverse Perceptual Models for Tracking and Prediction. CoRR abs/1710.11311 (2017) - 2016
- [j2]Mohammadzaman Zamani, Hamid Beigy
, Amirreza Shaban:
Cascading randomized weighted majority: A new online ensemble learning algorithm. Intell. Data Anal. 20(4): 877-889 (2016) - 2015
- [j1]Amirreza Shaban, Hamid R. Rabiee, Mahyar Najibi, Safoora Yousefi:
From Local Similarities to Global Coding: A Framework for Coding Applications. IEEE Trans. Image Process. 24(12): 5074-5085 (2015) - [c6]Amirreza Shaban, Mehrdad Farajtabar, Bo Xie, Le Song, Byron Boots:
Learning Latent Variable Models by Improving Spectral Solutions with Exterior Point Method. UAI 2015: 792-801 - 2014
- [i2]Mohammadzaman Zamani, Hamid Beigy, Amirreza Shaban:
Cascading Randomized Weighted Majority: A New Online Ensemble Learning Algorithm. CoRR abs/1403.0388 (2014) - 2013
- [c5]Amirreza Shaban, Hamid R. Rabiee, Mehrdad Farajtabar, Mohsen Fadaee:
Online Object Representation Learning and Its Application to Object Tracking. AAAI Spring Symposium: Lifelong Machine Learning 2013 - [c4]Amirreza Shaban, Hamid R. Rabiee, Mehrdad Farajtabar, Marjan Ghazvininejad:
From Local Similarity to Global Coding: An Application to Image Classification. CVPR 2013: 2794-2801 - [i1]Amirreza Shaban, Hamid R. Rabiee, Mahyar Najibi:
From Local Similarities to Global Coding: An Algorithm for Feature Coding and its Applications. CoRR abs/1311.6079 (2013) - 2012
- [c3]Amirreza Shaban, Hamid R. Rabiee, Marzieh S. Tahaei, Erfan Salavati:
Nonlinear Unsupervised Feature Learning: How Local Similarities Lead to Global Coding. ICDM Workshops 2012: 506-513 - 2011
- [c2]Mehrdad Farajtabar, Hamid R. Rabiee, Amirreza Shaban, Ali Soltani-Farani:
Efficient Iterative Semi-supervised Classification on Manifold. ICDM Workshops 2011: 228-235 - [c1]Mehrdad Farajtabar, Amirreza Shaban, Hamid Reza Rabiee, Mohammad H. Rohban:
Manifold Coarse Graining for Online Semi-supervised Learning. ECML/PKDD (1) 2011: 391-406
Coauthor Index
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