Azadeh Alavi

According to our database, Azadeh Alavi authored at least 30 papers between 2009 and 2024.

Collaborative distances:

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

2024

Self-Supervised Learning for Time Series: Contrastive or Generative?

Ziyu Liu, Azadeh Alavi, Minyi Li, Xiang Zhang

CoRR, 2024

2023

Self-Supervised Contrastive Learning for Medical Time Series: A Systematic Review.

Ziyu Liu, Azadeh Alavi, Minyi Li, Xiang Zhang

Sensors, 2023

Expert Finding for Citizen Science.

Bjoern Komander, Jesús Cerquides, Jaume Piera, Jeffrey Chan, Azadeh Alavi

Proceedings of the Artificial Intelligence Research and Development, 2023

2021

Hybrid Classical-Quantum method for Diabetic Foot Ulcer Classification.

Azadeh Alavi, Hossein Akhoundi

CoRR, 2021

Deep Subspace analysing for Semi-Supervised multi-label classification of Diabetic Foot Ulcer.

Azadeh Alavi

CoRR, 2021

Deep learning in diabetic foot ulcers detection: A comprehensive evaluation.

Moi Hoon Yap, Ryo Hachiuma, Azadeh Alavi, Raphael Brüngel, Bill Cassidy, Manu Goyal, Hongtao Zhu, Johannes Rückert, Moshe Olshansky, Xiao Huang, Hideo Saito, Saeed Hassanpour, Christoph M. Friedrich, David B. Ascher, Anping Song, Hiroki Kajita, David Gillespie, Neil D. Reeves, Joseph M. Pappachan, Claire O'Shea, Eibe Frank

Comput. Biol. Medicine, 2021

Deep Subspace Analysing for Semi-supervised Multi-label Classification of Diabetic Foot Ulcer.

Azadeh Alavi, Hossein Akhoundi

Proceedings of the Diabetic Foot Ulcers Grand Challenge - Second Challenge, 2021

2018

KEPLER: Simultaneous estimation of keypoints and 3D pose of unconstrained faces in a unified framework by learning efficient H-CNN regressors.

Amit Kumar, Azadeh Alavi, Rama Chellappa

Image Vis. Comput., 2018

Cross-Domain Visual Recognition via Domain Adaptive Dictionary Learning.

Hongyu Xu, Jingjing Zheng, Azadeh Alavi, Rama Chellappa

CoRR, 2018

Nonlinear Subspace Feature Enhancement for Image Set Classification.

Mohammed E. Fathy, Azadeh Alavi, Rama Chellappa

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Analysis of adaptability of deep features for verifying blurred and cross-resolution images.

Prithviraj Dhar, Azadeh Alavi

Proceedings of the IEEE International Conference on Identity, 2017

KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors.

Amit Kumar, Azadeh Alavi, Rama Chellappa

Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

2016

Efficient clustering on Riemannian manifolds: A kernelised random projection approach.

Kun Zhao, Azadeh Alavi, Arnold Wiliem, Brian C. Lovell

Pattern Recognit., 2016

Triplet Similarity Embedding for Face Verification.

Swami Sankaranarayanan, Azadeh Alavi, Rama Chellappa

CoRR, 2016

DCNNs on a Diet: Sampling Strategies for Reducing the Training Set Size.

Maya Kabkab, Azadeh Alavi, Rama Chellappa

CoRR, 2016

Distance Preserving Projection Space of Symmetric Positive Definite Manifolds.

Azadeh Alavi, Vishal M. Patel, Rama Chellappa

CoRR, 2016

Learning a structured dictionary for video-based face recognition.

Hongyu Xu, Jingjing Zheng, Azadeh Alavi, Rama Chellappa

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

Discriminative Log-Euclidean Feature Learning for Sparse Representation-Based Recognition of Faces from Videos.

Mohammed E. Fathy, Azadeh Alavi, Rama Chellappa

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Template regularized sparse coding for face verification.

Hongyu Xu, Jingjing Zheng, Azadeh Alavi, Rama Chellappa

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Triplet probabilistic embedding for face verification and clustering.

Swami Sankaranarayanan, Azadeh Alavi, Carlos Domingo Castillo, Rama Chellappa

Proceedings of the 8th IEEE International Conference on Biometrics Theory, 2016

A cascaded convolutional neural network for age estimation of unconstrained faces.

Jun-Cheng Chen, Amit Kumar, Rajeev Ranjan, Vishal M. Patel, Azadeh Alavi, Rama Chellappa

Proceedings of the 8th IEEE International Conference on Biometrics Theory, 2016

2015

Unconstrained Age Estimation with Deep Convolutional Neural Networks.

Rajeev Ranjan, Sabrina Zhou, Jun-Cheng Chen, Amit Kumar, Azadeh Alavi, Vishal M. Patel, Rama Chellappa

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

2014

Image Analysis on Symmetric Positive Definite Manifolds

Azadeh Alavi

PhD thesis, 2014

Visual learning and classification of human epithelial type 2 cell images through spontaneous activity patterns.

Yan Yang, Arnold Wiliem, Azadeh Alavi, Brian C. Lovell, Peter Hobson

Pattern Recognit., 2014

Random projections on manifolds of Symmetric Positive Definite matrices for image classification.

Azadeh Alavi, Arnold Wiliem, Kun Zhao, Brian C. Lovell, Conrad Sanderson

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

2013

Relational divergence based classification on Riemannian manifolds.

Azadeh Alavi, Mehrtash Tafazzoli Harandi, Conrad Sanderson

Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision, 2013

Classification of human epithelial type 2 cell images using independent component analysis.

Yan Yang, Arnold Wiliem, Azadeh Alavi, Peter Hobson

Proceedings of the IEEE International Conference on Image Processing, 2013

Multi-shot person re-identification via relational Stein divergence.

Azadeh Alavi, Yan Yang, Mehrtash Tafazzoli Harandi, Conrad Sanderson

Proceedings of the IEEE International Conference on Image Processing, 2013

2012

Clustering on Grassmann manifolds via kernel embedding with application to action analysis.

Sareh Abolahrari Shirazi, Mehrtash Tafazzoli Harandi, Conrad Sanderson, Azadeh Alavi, Brian C. Lovell

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2009

Automated classification of dopaminergic neurons in the rodent brain.

Azadeh Alavi, Brenton Cavanagh, Gervase Tuxworth, Adrian Meedeniya, Alan Mackay-Sim, Michael Blumenstein

Proceedings of the International Joint Conference on Neural Networks, 2009