Masoud Faraki

According to our database, Masoud Faraki authored at least 18 papers between 2014 and 2023.

Collaborative distances:

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

2023

Split to Learn: Gradient Split for Multi-Task Human Image Analysis.

Weijian Deng, Yumin Suh, Xiang Yu, Masoud Faraki, Liang Zheng, Manmohan Chandraker

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

Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters.

Mateusz Michalkiewicz, Masoud Faraki, Xiang Yu, Manmohan Chandraker, Mahsa Baktashmotlagh

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

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

Proceedings of the Computer Vision - ECCV 2022, 2022

On Generalizing Beyond Domains in Cross-Domain Continual Learning.

Christian Simon, Masoud Faraki, Yi-Hsuan Tsai, Xiang Yu, Samuel Schulter, Yumin Suh, Mehrtash Harandi, Manmohan Chandraker

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Controllable Dynamic Multi-Task Architectures.

Dripta S. Raychaudhuri, Yumin Suh, Samuel Schulter, Xiang Yu, Masoud Faraki, Amit K. Roy-Chowdhury, Manmohan Chandraker

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning to Learn across Diverse Data Biases in Deep Face Recognition.

Chang Liu, Xiang Yu, Yi-Hsuan Tsai, Masoud Faraki, Ramin Moslemi, Manmohan Chandraker, Yun Fu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Cross-Domain Similarity Learning for Face Recognition in Unseen Domains.

Masoud Faraki, Xiang Yu, Yi-Hsuan Tsai, Yumin Suh, Manmohan Chandraker

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Voting-based Approaches For Differentially Private Federated Learning.

Yuqing Zhu, Xiang Yu, Yi-Hsuan Tsai, Francesco Pittaluga, Masoud Faraki, Manmohan Chandraker, Yu-Xiang Wang

CoRR, 2020

2019

Learning Factorized Representations for Open-Set Domain Adaptation.

Mahsa Baktashmotlagh, Masoud Faraki, Tom Drummond, Mathieu Salzmann

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

A Comprehensive Look at Coding Techniques on Riemannian Manifolds.

Masoud Faraki, Mehrtash Tafazzoli Harandi, Fatih Porikli

IEEE Trans. Neural Networks Learn. Syst., 2018

Large-Scale Metric Learning: A Voyage From Shallow to Deep.

Masoud Faraki, Mehrtash Tafazzoli Harandi, Fatih Porikli

IEEE Trans. Neural Networks Learn. Syst., 2018

2017

No fuss metric learning, a Hilbert space scenario.

Masoud Faraki, Mehrtash Tafazzoli Harandi, Fatih Porikli

Pattern Recognit. Lett., 2017

2016

Image set classification by symmetric positive semi-definite matrices.

Masoud Faraki, Mehrtash Tafazzoli Harandi, Fatih Porikli

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

2015

Log-Euclidean bag of words for human action recognition.

Masoud Faraki, Maziar Palhang, Conrad Sanderson

IET Comput. Vis., 2015

Material Classification on Symmetric Positive Definite Manifolds.

Masoud Faraki, Mehrtash Tafazzoli Harandi, Fatih Murat Porikli

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Approximate infinite-dimensional Region Covariance Descriptors for image classification.

Masoud Faraki, Mehrtash Tafazzoli Harandi, Fatih Murat Porikli

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

More about VLAD: A leap from Euclidean to Riemannian manifolds.

Masoud Faraki, Mehrtash Tafazzoli Harandi, Fatih Murat Porikli

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Fisher tensors for classifying human epithelial cells.

Masoud Faraki, Mehrtash Tafazzoli Harandi, Arnold Wiliem, Brian C. Lovell

Pattern Recognit., 2014