Amirreza Shaban

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 26

Top Topics

Weakly Supervised

Top Venues

IEEE Trans. Image Process.

Publications

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 (2023)
Amirreza Shaban, Joonho Lee, Sanghun Jung, Xiangyun Meng, Byron Boots
LiDAR-UDA: Self-ensembling Through Time for Unsupervised LiDAR Domain Adaptation. CoRR (2023)
Xiangyun Meng, Nathan Hatch, Alexander Lambert, Anqi Li, Nolan Wagener, Matthew Schmittle, Joonho Lee, Wentao Yuan, Zoey Qiuyu Chen, Sameul 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)
Sanghun Jung, Jungsoo Lee, Nanhee Kim, Amirreza Shaban, Byron Boots, Jaegul Choo
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation. ICCV (2023)
Amirreza Shaban, Joonho Lee, Sanghun Jung, Xiangyun Meng, Byron Boots
LiDAR-UDA: Self-ensembling Through Time for Unsupervised LiDAR Domain Adaptation. ICCV (2023)
Amirreza Shaban, Amir Rahimi, Thalaiyasingam Ajanthan, Byron Boots, Richard Hartley
Few-shot Weakly-Supervised Object Detection via Directional Statistics. WACV (2022)
Amirreza Shaban, Amir Rahimi, Thalaiyasingam Ajanthan, Byron Boots, Richard I. Hartley
Few-shot Weakly-Supervised Object Detection via Directional Statistics. CoRR (2021)
Amirreza Shaban, Xiangyun Meng, Joonho Lee, Byron Boots, Dieter Fox
Semantic Terrain Classification for Off-Road Autonomous Driving. CoRL (2021)
Amir Rahimi, Amirreza Shaban, Ching-An Cheng, Byron Boots, Richard Hartley
Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks. CoRR (2020)
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 (2020)
Hamid Reza Vaezi Joze, Amirreza Shaban, Michael L. Iuzzolino, Kazuhito Koishida
MMTM: Multimodal Transfer Module for CNN Fusion. CVPR (2020)
Amir Rahimi, Amirreza Shaban, Thalaiyasingam Ajanthan, Richard I. Hartley, Byron Boots
Pairwise Similarity Knowledge Transfer for Weakly Supervised Object Localization. ECCV (24) (2020)
Amir Rahimi, Amirreza Shaban, Thalaiyasingam Ajanthan, Richard Hartley, Byron Boots
In Defense of Graph Inference Algorithms for Weakly Supervised Object Localization. CoRR (2020)
Amir Rahimi, Amirreza Shaban, Ching-An Cheng, Richard Hartley, Byron Boots
Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks. NeurIPS (2020)
Hamid Reza Vaezi Joze, Amirreza Shaban, Michael L. Iuzzolino, Kazuhito Koishida
MMTM: Multimodal Transfer Module for CNN Fusion. CoRR (2019)
Amirreza Shaban, Amir Rahimi, Stephen Gould, Byron Boots, Richard I. Hartley
Learning to Find Common Objects Across Image Collections. CoRR (2019)
Amirreza Shaban, Ching-An Cheng, Nathan Hatch, Byron Boots
Truncated Back-propagation for Bilevel Optimization. AISTATS (2019)
Amirreza Shaban, Amir Rahimi, Shray Bansal, Stephen Gould, Byron Boots, Richard Hartley
Learning to Find Common Objects Across Few Image Collections. ICCV (2019)
Alexander Lambert, Amirreza Shaban, Amit Raj, Zhen Liu, Byron Boots
Deep Forward and Inverse Perceptual Models for Tracking and Prediction. ICRA (2018)
Amirreza Shaban, Ching-An Cheng, Nathan Hatch, Byron Boots
Truncated Back-propagation for Bilevel Optimization. CoRR (2018)
Alexander Lambert, Amirreza Shaban, Amit Raj, Zhen Liu, Byron Boots
Deep Forward and Inverse Perceptual Models for Tracking and Prediction. CoRR (2017)
Amirreza Shaban, Shray Bansal, Zhen Liu, Irfan Essa, Byron Boots
One-Shot Learning for Semantic Segmentation. BMVC (2017)
Amirreza Shaban, Shray Bansal, Zhen Liu, Irfan Essa, Byron Boots
One-Shot Learning for Semantic Segmentation. CoRR (2017)
Mohammadzaman Zamani, Hamid Beigy, Amirreza Shaban
Cascading randomized weighted majority: A new online ensemble learning algorithm. Intell. Data Anal. 20 (4) (2016)
Amirreza Shaban, Mehrdad Farajtabar, Bo Xie, Le Song, Byron Boots
Learning Latent Variable Models by Improving Spectral Solutions with Exterior Point Method. UAI (2015)
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) (2015)
Mohammadzaman Zamani, Hamid Beigy, Amirreza Shaban
Cascading Randomized Weighted Majority: A New Online Ensemble Learning Algorithm. CoRR (2014)
Amirreza Shaban, Hamid R. Rabiee, Mehrdad Farajtabar, Marjan Ghazvininejad
From Local Similarity to Global Coding: An Application to Image Classification. CVPR (2013)
Amirreza Shaban, Hamid R. Rabiee, Mahyar Najibi
From Local Similarities to Global Coding: An Algorithm for Feature Coding and its Applications. CoRR (2013)
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)
Amirreza Shaban, Hamid R. Rabiee, Marzieh S. Tahaei, Erfan Salavati
Nonlinear Unsupervised Feature Learning: How Local Similarities Lead to Global Coding. ICDM Workshops (2012)
Mehrdad Farajtabar, Hamid R. Rabiee, Amirreza Shaban, Ali Soltani-Farani
Efficient Iterative Semi-supervised Classification on Manifold. ICDM Workshops (2011)
Mehrdad Farajtabar, Amirreza Shaban, Hamid Reza Rabiee, Mohammad H. Rohban
Manifold Coarse Graining for Online Semi-supervised Learning. ECML/PKDD (1) (2011)