Fisher tensors for classifying human epithelial cells. - Masoud Faraki; Mehrtash Tafazzoli Harandi; Arnold Wiliem; Brian C. Lovell (Pattern Recognit., 2014)

More about VLAD: A leap from Euclidean to Riemannian manifolds. - Masoud Faraki; Mehrtash Tafazzoli Harandi; Fatih Murat Porikli (CVPR, 2015)

Approximate infinite-dimensional Region Covariance Descriptors for image classification. - Masoud Faraki; Mehrtash Tafazzoli Harandi; Fatih Murat Porikli (ICASSP, 2015)

Material Classification on Symmetric Positive Definite Manifolds. - Masoud Faraki; Mehrtash Tafazzoli Harandi; Fatih Murat Porikli (WACV, 2015)

Log-Euclidean bag of words for human action recognition. - Masoud Faraki; Maziar Palhang; Conrad Sanderson (IET Comput. Vis., 2015)

Image set classification by symmetric positive semi-definite matrices. - Masoud Faraki; Mehrtash Tafazzoli Harandi; Fatih Porikli (WACV, 2016)

No fuss metric learning, a Hilbert space scenario. - Masoud Faraki; Mehrtash Tafazzoli Harandi; Fatih Porikli (Pattern Recognit. Lett., 2017)

Large-Scale Metric Learning: A Voyage From Shallow to Deep. - Masoud Faraki; Mehrtash Tafazzoli Harandi; Fatih Porikli (IEEE Trans. Neural Networks Learn. Syst., 2018)

A Comprehensive Look at Coding Techniques on Riemannian Manifolds. - Masoud Faraki; Mehrtash Tafazzoli Harandi; Fatih Porikli (IEEE Trans. Neural Networks Learn. Syst., 2018)

Learning Factorized Representations for Open-Set Domain Adaptation. - Mahsa Baktashmotlagh; Masoud Faraki; Tom Drummond; Mathieu Salzmann (ICLR (Poster), 2019)

Voting-based Approaches For Differentially Private Federated Learning. - Yuqing Zhu 005; Xiang Yu 002; Yi-Hsuan Tsai; Francesco Pittaluga; Masoud Faraki; Manmohan Chandraker; Yu-Xiang Wang 003 (CoRR, 2020)

Cross-Domain Similarity Learning for Face Recognition in Unseen Domains. - Masoud Faraki; Xiang Yu 002; Yi-Hsuan Tsai; Yumin Suh; Manmohan Chandraker (CVPR, 2021)

Learning to Learn across Diverse Data Biases in Deep Face Recognition. - Chang Liu 022; Xiang Yu 002; Yi-Hsuan Tsai; Masoud Faraki; Ramin Moslemi; Manmohan Chandraker; Yun Fu 001 (CVPR, 2022)

Controllable Dynamic Multi-Task Architectures. - Dripta S. Raychaudhuri; Yumin Suh; Samuel Schulter; Xiang Yu 002; Masoud Faraki; Amit K. Roy-Chowdhury; Manmohan Chandraker (CVPR, 2022)

On Generalizing Beyond Domains in Cross-Domain Continual Learning. - Christian Simon; Masoud Faraki; Yi-Hsuan Tsai; Xiang Yu 002; Samuel Schulter; Yumin Suh; Mehrtash Harandi; Manmohan Chandraker (CVPR, 2022)

Learning Semantic Segmentation from Multiple Datasets with Label Shifts. - Dongwan Kim; Yi-Hsuan Tsai; Yumin Suh; Masoud Faraki; Sparsh Garg; Manmohan Chandraker; Bohyung Han (ECCV (28), 2022)

Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters. - Mateusz Michalkiewicz; Masoud Faraki; Xiang Yu 002; Manmohan Chandraker; Mahsa Baktashmotlagh (ICCV, 2023)

Split to Learn: Gradient Split for Multi-Task Human Image Analysis. - Weijian Deng; Yumin Suh; Xiang Yu 002; Masoud Faraki; Liang Zheng 001; Manmohan Chandraker (WACV, 2023)