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ORCIDAzadeh Alavi
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Books and Theses
- 2014
[b1]Azadeh Alavi:
Image Analysis on Symmetric Positive Definite Manifolds. University of Queensland, Australia, 2014
Journal Articles
- 2024
- [j6]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): 246 (2024) - 2023
- [j5]Ziyu Liu, Azadeh Alavi, Minyi Li, Xiang Zhang:
Self-Supervised Contrastive Learning for Medical Time Series: A Systematic Review. Sensors 23(9): 4221 (2023) - 2021
- [j4]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: 104596 (2021) - 2018
- [j3]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: 49-62 (2018) - 2016
- [j2]Kun Zhao, Azadeh Alavi, Arnold Wiliem, Brian C. Lovell:
Efficient clustering on Riemannian manifolds: A kernelised random projection approach. Pattern Recognit. 51: 333-345 (2016) - 2014
- [j1]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): 2325-2337 (2014)
Conference and Workshop Papers
- 2023
- [c17]Bjoern Komander, Jesús Cerquides, Jaume Piera, Jeffrey Chan, Azadeh Alavi:
Expert Finding for Citizen Science. CCIA 2023: 59-69 - 2021
- [c16]Azadeh Alavi, Hossein Akhoundi:
Deep Subspace Analysing for Semi-supervised Multi-label Classification of Diabetic Foot Ulcer. DFUC@MICCAI 2021: 109-120 - 2018
- [c15]Mohammed E. Fathy, Azadeh Alavi, Rama Chellappa:
Nonlinear Subspace Feature Enhancement for Image Set Classification. ACCV (4) 2018: 142-158 - 2017
- [c14]Amit Kumar, Azadeh Alavi, Rama Chellappa:
KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors. FG 2017: 258-265 - [c13]Prithviraj Dhar, Azadeh Alavi:
Analysis of adaptability of deep features for verifying blurred and cross-resolution images. ISBA 2017: 1-8 - 2016
- [c12]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: 1-8 - [c11]Swami Sankaranarayanan, Azadeh Alavi, Carlos Domingo Castillo, Rama Chellappa:
Triplet probabilistic embedding for face verification and clustering. BTAS 2016: 1-8 - [c10]Hongyu Xu, Jingjing Zheng, Azadeh Alavi, Rama Chellappa:
Template regularized sparse coding for face verification. ICPR 2016: 1448-1454 - [c9]Mohammed E. Fathy, Azadeh Alavi, Rama Chellappa:
Discriminative Log-Euclidean Feature Learning for Sparse Representation-Based Recognition of Faces from Videos. IJCAI 2016: 3359-3367 - [c8]Hongyu Xu, Jingjing Zheng, Azadeh Alavi, Rama Chellappa:
Learning a structured dictionary for video-based face recognition. WACV 2016: 1-9 - 2015
- [c7]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: 351-359 - 2014
- [c6]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: 301-308 - 2013
- [c5]Yan Yang, Arnold Wiliem, Azadeh Alavi, Peter Hobson:
Classification of human epithelial type 2 cell images using independent component analysis. ICIP 2013: 733-737 - [c4]Azadeh Alavi, Yan Yang, Mehrtash Tafazzoli Harandi, Conrad Sanderson:
Multi-shot person re-identification via relational Stein divergence. ICIP 2013: 3542-3546 - [c3]Azadeh Alavi, Mehrtash Tafazzoli Harandi, Conrad Sanderson:
Relational divergence based classification on Riemannian manifolds. WACV 2013: 111-116 - 2012
- [c2]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: 781-784 - 2009
- [c1]Azadeh Alavi, Brenton Cavanagh, Gervase Tuxworth, Adrian Meedeniya, Alan Mackay-Sim, Michael Blumenstein:
Automated classification of dopaminergic neurons in the rodent brain. IJCNN 2009: 81-88
Informal and Other Publications
- 2024
- [i15]Ziyu Liu, Azadeh Alavi, Minyi Li, Xiang Zhang:
Self-Supervised Learning for Time Series: Contrastive or Generative? CoRR abs/2403.09809 (2024) - [i14]Azadeh Alavi, Sanduni Jayasinghe:
Leveraging SPD Matrices on Riemannian Manifolds in Quantum Classical Hybrid Models for Structural Health Monitoring. CoRR abs/2406.04055 (2024) - [i13]Ziyu Liu, Azadeh Alavi, Minyi Li, Xiang Zhang:
Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification. CoRR abs/2407.09336 (2024) - 2021
- [i12]Azadeh Alavi:
Deep Subspace analysing for Semi-Supervised multi-label classification of Diabetic Foot Ulcer. CoRR abs/2110.01795 (2021) - [i11]Azadeh Alavi, Hossein Akhoundi:
Hybrid Classical-Quantum method for Diabetic Foot Ulcer Classification. CoRR abs/2110.02222 (2021) - 2020
- [i10]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 abs/2010.03341 (2020) - 2018
- [i9]Hongyu Xu, Jingjing Zheng, Azadeh Alavi, Rama Chellappa:
Cross-Domain Visual Recognition via Domain Adaptive Dictionary Learning. CoRR abs/1804.04687 (2018) - 2017
- [i8]Amit Kumar, Azadeh Alavi, Rama Chellappa:
KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors. CoRR abs/1702.05085 (2017) - 2016
- [i7]Swami Sankaranarayanan, Azadeh Alavi, Rama Chellappa:
Triplet Similarity Embedding for Face Verification. CoRR abs/1602.03418 (2016) - [i6]Azadeh Alavi, Vishal M. Patel, Rama Chellappa:
Distance Preserving Projection Space of Symmetric Positive Definite Manifolds. CoRR abs/1602.03570 (2016) - [i5]Swami Sankaranarayanan, Azadeh Alavi, Carlos Domingo Castillo, Rama Chellappa:
Triplet Probabilistic Embedding for Face Verification and Clustering. CoRR abs/1604.05417 (2016) - [i4]Maya Kabkab, Azadeh Alavi, Rama Chellappa:
DCNNs on a Diet: Sampling Strategies for Reducing the Training Set Size. CoRR abs/1606.04232 (2016) - 2015
- [i3]Kun Zhao, Azadeh Alavi, Arnold Wiliem, Brian C. Lovell:
Efficient Clustering on Riemannian Manifolds: A Kernelised Random Projection Approach. CoRR abs/1509.05536 (2015) - 2014
- [i2]Azadeh Alavi, Yan Yang, Mehrtash Tafazzoli Harandi, Conrad Sanderson:
Multi-Shot Person Re-Identification via Relational Stein Divergence. CoRR abs/1403.0699 (2014) - [i1]Azadeh Alavi, Arnold Wiliem, Kun Zhao, Brian C. Lovell, Conrad Sanderson:
Random Projections on Manifolds of Symmetric Positive Definite Matrices for Image Classification. CoRR abs/1403.0700 (2014)
Coauthor Index
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