Azadeh Alavi

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 27

Top Topics

Face Verification

Top Venues

Pattern Recognit.

Publications

Ziyu Liu, Azadeh Alavi, Minyi Li, Xiang Zhang
Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification. CoRR (2024)
Azadeh Alavi, Sanduni Jayasinghe
Leveraging SPD Matrices on Riemannian Manifolds in Quantum Classical Hybrid Models for Structural Health Monitoring. CoRR (2024)
Ziyu Liu, Azadeh Alavi, Minyi Li, Xiang Zhang
Self-Supervised Learning for Time Series: Contrastive or Generative? CoRR (2024)
Kaushlesh Singh Shakya, Azadeh Alavi, Julie Porteous, Priti K, Amit Laddi, Manojkumar Jaiswal
A Critical Analysis of Deep Semi-Supervised Learning Approaches for Enhanced Medical Image Classification. Inf. 15 (5) (2024)
Bjoern Komander, Jesús Cerquides, Jaume Piera, Jeffrey Chan, Azadeh Alavi
Expert Finding for Citizen Science. CCIA (2023)
Ziyu Liu, Azadeh Alavi, Minyi Li, Xiang Zhang
Self-Supervised Contrastive Learning for Medical Time Series: A Systematic Review. Sensors 23 (9) (2023)
Azadeh Alavi, Hossein Akhoundi
Deep Subspace Analysing for Semi-supervised Multi-label Classification of Diabetic Foot Ulcer. DFUC@MICCAI (2021)
Azadeh Alavi, Hossein Akhoundi
Hybrid Classical-Quantum method for Diabetic Foot Ulcer Classification. CoRR (2021)
Azadeh Alavi
Deep Subspace analysing for Semi-Supervised multi-label classification of Diabetic Foot Ulcer. CoRR (2021)
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
Deep learning in diabetic foot ulcers detection: A comprehensive evaluation. Comput. Biol. Medicine 135 (2021)
Moi Hoon Yap, Ryo Hachiuma, Azadeh Alavi, Raphael Brüngel, Manu Goyal, Hongtao Zhu, Bill Cassidy, 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 Pappachan, Claire O'Shea, Eibe Frank
Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation. CoRR (2020)
Hongyu Xu, Jingjing Zheng, Azadeh Alavi, Rama Chellappa
Cross-Domain Visual Recognition via Domain Adaptive Dictionary Learning. CoRR (2018)
Mohammed E. Fathy, Azadeh Alavi, Rama Chellappa
Nonlinear Subspace Feature Enhancement for Image Set Classification. ACCV (4) (2018)
Amit Kumar, Azadeh Alavi, Rama Chellappa
KEPLER: Simultaneous estimation of keypoints and 3D pose of unconstrained faces in a unified framework by learning efficient H-CNN regressors. Image Vis. Comput. 79 (2018)
Amit Kumar, Azadeh Alavi, Rama Chellappa
KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors. FG (2017)
Amit Kumar, Azadeh Alavi, Rama Chellappa
KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors. CoRR (2017)
Prithviraj Dhar, Azadeh Alavi
Analysis of adaptability of deep features for verifying blurred and cross-resolution images. ISBA (2017)
Jun-Cheng Chen, Amit Kumar, Rajeev Ranjan, Vishal M. Patel, Azadeh Alavi, Rama Chellappa
A cascaded convolutional neural network for age estimation of unconstrained faces. BTAS (2016)
Hongyu Xu, Jingjing Zheng, Azadeh Alavi, Rama Chellappa
Template regularized sparse coding for face verification. ICPR (2016)
Maya Kabkab, Azadeh Alavi, Rama Chellappa
DCNNs on a Diet: Sampling Strategies for Reducing the Training Set Size. CoRR (2016)
Kun Zhao, Azadeh Alavi, Arnold Wiliem, Brian C. Lovell
Efficient clustering on Riemannian manifolds: A kernelised random projection approach. Pattern Recognit. 51 (2016)
Swami Sankaranarayanan, Azadeh Alavi, Rama Chellappa
Triplet Similarity Embedding for Face Verification. CoRR (2016)
Swami Sankaranarayanan, Azadeh Alavi, Carlos Domingo Castillo, Rama Chellappa
Triplet probabilistic embedding for face verification and clustering. BTAS (2016)
Mohammed E. Fathy, Azadeh Alavi, Rama Chellappa
Discriminative Log-Euclidean Feature Learning for Sparse Representation-Based Recognition of Faces from Videos. IJCAI (2016)
Swami Sankaranarayanan, Azadeh Alavi, Carlos Domingo Castillo, Rama Chellappa
Triplet Probabilistic Embedding for Face Verification and Clustering. CoRR (2016)
Hongyu Xu, Jingjing Zheng, Azadeh Alavi, Rama Chellappa
Learning a structured dictionary for video-based face recognition. WACV (2016)
Azadeh Alavi, Vishal M. Patel, Rama Chellappa
Distance Preserving Projection Space of Symmetric Positive Definite Manifolds. CoRR (2016)
Kun Zhao, Azadeh Alavi, Arnold Wiliem, Brian C. Lovell
Efficient Clustering on Riemannian Manifolds: A Kernelised Random Projection Approach. CoRR (2015)
Rajeev Ranjan, Sabrina Zhou, Jun-Cheng Chen, Amit Kumar, Azadeh Alavi, Vishal M. Patel, Rama Chellappa
Unconstrained Age Estimation with Deep Convolutional Neural Networks. ICCV Workshops (2015)
Azadeh Alavi, Yan Yang, Mehrtash Tafazzoli Harandi, Conrad Sanderson
Multi-Shot Person Re-Identification via Relational Stein Divergence. CoRR (2014)
Azadeh Alavi, Arnold Wiliem, Kun Zhao, Brian C. Lovell, Conrad Sanderson
Random Projections on Manifolds of Symmetric Positive Definite Matrices for Image Classification. CoRR (2014)
Azadeh Alavi, Arnold Wiliem, Kun Zhao, Brian C. Lovell, Conrad Sanderson
Random projections on manifolds of Symmetric Positive Definite matrices for image classification. WACV (2014)
Yan Yang, Arnold Wiliem, Azadeh Alavi, Brian C. Lovell, Peter Hobson
Visual learning and classification of human epithelial type 2 cell images through spontaneous activity patterns. Pattern Recognit. 47 (7) (2014)
Azadeh Alavi, Yan Yang, Mehrtash Tafazzoli Harandi, Conrad Sanderson
Multi-shot person re-identification via relational Stein divergence. ICIP (2013)
Yan Yang, Arnold Wiliem, Azadeh Alavi, Peter Hobson
Classification of human epithelial type 2 cell images using independent component analysis. ICIP (2013)
Azadeh Alavi, Mehrtash Tafazzoli Harandi, Conrad Sanderson
Relational divergence based classification on Riemannian manifolds. WACV (2013)
Sareh Abolahrari Shirazi, Mehrtash Tafazzoli Harandi, Conrad Sanderson, Azadeh Alavi, Brian C. Lovell
Clustering on Grassmann manifolds via kernel embedding with application to action analysis. ICIP (2012)
Azadeh Alavi, Brenton Cavanagh, Gervase Tuxworth, Adrian Meedeniya, Alan Mackay-Sim, Michael Blumenstein
Automated classification of dopaminergic neurons in the rodent brain. IJCNN (2009)