Amirreza Shaban

According to our database, Amirreza Shaban authored at least 25 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation.

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

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

LiDAR-UDA: Self-ensembling Through Time for Unsupervised LiDAR Domain Adaptation.

Amirreza Shaban, Joonho Lee, Sanghun Jung, Xiangyun Meng, Byron Boots

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CAFA: Class-Aware Feature Alignment for Test-Time Adaptation.

Sanghun Jung, Jungsoo Lee, Nanhee Kim, Amirreza Shaban, Byron Boots, Jaegul Choo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Few-shot Weakly-Supervised Object Detection via Directional Statistics.

Amirreza Shaban, Amir Rahimi, Thalaiyasingam Ajanthan, Byron Boots, Richard Hartley

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021

Semantic Terrain Classification for Off-Road Autonomous Driving.

Amirreza Shaban, Xiangyun Meng, Joonho Lee, Byron Boots, Dieter Fox

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Low-Shot Learning for Object Recognition, Detection, and Segmentation.

Amirreza Shaban

PhD thesis, 2020

A Robotic 3D Perception System for Operating Room Environment Awareness.

Zhaoshuo Li, Amirreza Shaban, Jean-Gabriel Simard, Dinesh Rabindran, Simon Peter DiMaio, Omid Mohareri

CoRR, 2020

In Defense of Graph Inference Algorithms for Weakly Supervised Object Localization.

Amir Rahimi, Amirreza Shaban, Thalaiyasingam Ajanthan, Richard Hartley, Byron Boots

CoRR, 2020

Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks.

Amir Rahimi, Amirreza Shaban, Ching-An Cheng, Richard Hartley, Byron Boots

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Pairwise Similarity Knowledge Transfer for Weakly Supervised Object Localization.

Amir Rahimi, Amirreza Shaban, Thalaiyasingam Ajanthan, Richard I. Hartley, Byron Boots

Proceedings of the Computer Vision - ECCV 2020, 2020

MMTM: Multimodal Transfer Module for CNN Fusion.

Hamid Reza Vaezi Joze, Amirreza Shaban, Michael L. Iuzzolino, Kazuhito Koishida

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Learning to Find Common Objects Across Image Collections.

Amirreza Shaban, Amir Rahimi, Stephen Gould, Byron Boots, Richard I. Hartley

CoRR, 2019

Learning to Find Common Objects Across Few Image Collections.

Amirreza Shaban, Amir Rahimi, Shray Bansal, Stephen Gould, Byron Boots, Richard Hartley

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Truncated Back-propagation for Bilevel Optimization.

Amirreza Shaban, Ching-An Cheng, Nathan Hatch, Byron Boots

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Deep Forward and Inverse Perceptual Models for Tracking and Prediction.

Alexander Lambert, Amirreza Shaban, Amit Raj, Zhen Liu, Byron Boots

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

One-Shot Learning for Semantic Segmentation.

Amirreza Shaban, Shray Bansal, Zhen Liu, Irfan Essa, Byron Boots

Proceedings of the British Machine Vision Conference 2017, 2017

2016

Cascading randomized weighted majority: A new online ensemble learning algorithm.

Mohammadzaman Zamani, Hamid Beigy, Amirreza Shaban

Intell. Data Anal., 2016

2015

From Local Similarities to Global Coding: A Framework for Coding Applications.

Amirreza Shaban, Hamid R. Rabiee, Mahyar Najibi, Safoora Yousefi

IEEE Trans. Image Process., 2015

Learning Latent Variable Models by Improving Spectral Solutions with Exterior Point Method.

Amirreza Shaban, Mehrdad Farajtabar, Bo Xie, Le Song, Byron Boots

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

2013

From Local Similarities to Global Coding: An Algorithm for Feature Coding and its Applications.

Amirreza Shaban, Hamid R. Rabiee, Mahyar Najibi

CoRR, 2013

From Local Similarity to Global Coding: An Application to Image Classification.

Amirreza Shaban, Hamid R. Rabiee, Mehrdad Farajtabar, Marjan Ghazvininejad

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Online Object Representation Learning and Its Application to Object Tracking.

Amirreza Shaban, Hamid R. Rabiee, Mehrdad Farajtabar, Mohsen Fadaee

Proceedings of the Lifelong Machine Learning, 2013

2012

Nonlinear Unsupervised Feature Learning: How Local Similarities Lead to Global Coding.

Amirreza Shaban, Hamid R. Rabiee, Marzieh S. Tahaei, Erfan Salavati

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011

Manifold Coarse Graining for Online Semi-supervised Learning.

Mehrdad Farajtabar, Amirreza Shaban, Hamid Reza Rabiee, Mohammad H. Rohban

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Efficient Iterative Semi-supervised Classification on Manifold.

Mehrdad Farajtabar, Hamid R. Rabiee, Amirreza Shaban, Ali Soltani-Farani

Proceedings of the Data Mining Workshops (ICDMW), 2011