Ali Dabouei
16 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (31) 🌍 Conference Polyglot · Bronze 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint
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Conference Pioneer
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Prolific Year · Productive
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Century Club · Bronze
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Research topics
Machine Learning
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Deep Learning
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Learning Types · Machine Learning
(7)
Learning Types · Deep Learning
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Computer Vision
(4)
Analysis
(4)
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Optimization & Theory · Machine Learning
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Optimization & Theory · Deep Learning
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Processing
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Keywords
face recognition
(4)
image classification
(4)
metric learning
(3)
convolutional neural network
(3)
representation learning
(2)
knowledge distillation
(2)
weakly supervised learning
(2)
disentangled representation
(2)
prototype learning
(1)
face analysis
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continual learning
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style transfer
(1)
ensemble learning
(1)
self-supervised learning
(1)
adversarial robustness
(1)
contrastive learning
(1)
bipartite matching
(1)
data augmentation
(1)
feature learning
(1)
semi-supervised learning
(1)
Papers
Decomposed Distribution Matching in Dataset Condensation
WACV 2025
Distilling Aggregated Knowledge for Weakly-Supervised Video Anomaly Detection
WACV 2025
GIF: Generative Inspiration for Face Recognition at Scale
CVPR 2025
ARoFace: Alignment Robustness to Improve Low-quality Face Recognition
ECCV 2024
Cross-Domain Learning for Video Anomaly Detection with Limited Supervision
ECCV 2024
Hyperspherical Classification with Dynamic Label-to-Prototype Assignment
CVPR 2024
Revisiting Outer Optimization in Adversarial Training
ECCV 2022
Mutual Information Maximization on Disentangled Representations for Differential Morph Detection
WACV 2021
Self-Supervised Wasserstein Pseudo-Labeling for Semi-Supervised Image Classification
CVPR 2021
SuperMix: Supervising the Mixing Data Augmentation
CVPR 2021
Boosting Deep Face Recognition via Disentangling Appearance and Geometry
WACV 2020
Exploiting Joint Robustness to Adversarial Perturbations
CVPR 2020
Robust Facial Landmark Detection via Aggregation on Geometrically Manipulated Faces
WACV 2020
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations
WACV 2020
Transporting Labels via Hierarchical Optimal Transport for Semi-Supervised Learning
ECCV 2020
A Weakly Supervised Fine Label Classifier Enhanced by Coarse Supervision
ICCV 2019