Single image ground plane estimation. - Amir Rahimi; Hadi Moradi; Reza Aghaeizadeh Zoroofi (ICIP, 2013)

Using meta-heuristics for project scheduling under mode identity constraints. - Amir Rahimi; Hamid Karimi; Behrouz Afshar-Nadjafi (Appl. Soft Comput., 2013)

Protein function prediction using neighbor relativity in protein-protein interaction network. - Sobhan Moosavi; Masoud Rahgozar; Amir Rahimi (Comput. Biol. Chem., 2013)

Error estimation for simplifications of electrostatic models. - Amir Rahimi (2016)

Predicting protein-protein interactions based on rotation of proteins in 3D-space. - Samaneh Aghajanbaglo; Sobhan Moosavi; Maseud Rahgozar; Amir Rahimi (CoRR, 2017)

Learning to Find Common Objects Across Few Image Collections. - Amirreza Shaban; Amir Rahimi; Shray Bansal; Stephen Gould; Byron Boots; Richard Hartley 001 (ICCV, 2019)

Learning to Find Common Objects Across Image Collections. - Amirreza Shaban; Amir Rahimi; Stephen Gould; Byron Boots; Richard I. Hartley (CoRR, 2019)

Pairwise Similarity Knowledge Transfer for Weakly Supervised Object Localization. - Amir Rahimi; Amirreza Shaban; Thalaiyasingam Ajanthan; Richard I. Hartley; Byron Boots (ECCV (24), 2020)

Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks. - Amir Rahimi; Amirreza Shaban; Ching-An Cheng; Richard Hartley 001; Byron Boots (NeurIPS, 2020)

Does Determination of Initial Cluster Centroids Improve the Performance of K-Means Clustering Algorithm? Comparison of Three Hybrid Methods by Genetic Algorithm, Minimum Spanning Tree, and Hierarchical Clustering in an Applied Study. - Saeedeh Pourahmad; Atefeh Basirat; Amir Rahimi; Marziyeh Doostfatemeh (Comput. Math. Methods Medicine, 2020)

In Defense of Graph Inference Algorithms for Weakly Supervised Object Localization. - Amir Rahimi; Amirreza Shaban; Thalaiyasingam Ajanthan; Richard Hartley 001; Byron Boots (CoRR, 2020)

Post-hoc Calibration of Neural Networks. - Amir Rahimi; Kartik Gupta; Thalaiyasingam Ajanthan; Thomas Mensink; Cristian Sminchisescu; Richard Hartley 001 (CoRR, 2020)

Semi-Supervised 3D Hand Shape and Pose Estimation with Label Propagation. - Samira Kaviani; Amir Rahimi; Richard Hartley 001 (DICTA, 2021)

Calibration of Neural Networks using Splines. - Kartik Gupta; Amir Rahimi; Thalaiyasingam Ajanthan; Thomas Mensink; Cristian Sminchisescu; Richard Hartley 001 (ICLR, 2021)

Few-shot Weakly-Supervised Object Detection via Directional Statistics. - Amirreza Shaban; Amir Rahimi; Thalaiyasingam Ajanthan; Byron Boots; Richard Hartley 001 (WACV, 2022)

D3: Data Diversity Design for Systematic Generalization in Visual Question Answering. - Amir Rahimi; Vanessa D'Amario; Moyuru Yamada; Kentaro Takemoto; Tomotake Sasaki; Xavier Boix (Trans. Mach. Learn. Res., 2024)