Nasser M. Nasrabadi
17 papers · 2011–2025 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
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Learning Types Β· Deep Learning
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(5)
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Keywords
face recognition
(5)
image classification
(5)
convolutional neural network
(4)
metric learning
(3)
representation learning
(2)
semi-supervised learning
(2)
feature fusion
(2)
data augmentation
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label propagation
(1)
ensemble learning
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contrastive learning
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sparse coding
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few-shot learning
(1)
prototype learning
(1)
adversarial robustness
(1)
sparse recovery
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knowledge distillation
(1)
weakly supervised learning
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bipartite matching
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self-supervised learning
(1)
Papers
GIF: Generative Inspiration for Face Recognition at Scale
CVPR 2025
Hyperspherical Classification with Dynamic Label-to-Prototype Assignment
CVPR 2024
Laplacian-guided Entropy Model in Neural Codec with Blur-dissipated Synthesis
CVPR 2024
A Quality Aware Sample-to-Sample Comparison for Face Recognition
WACV 2023
Attribute-Based Deep Periocular Recognition: Leveraging Soft Biometrics to Improve Periocular Recognition
WACV 2022
Ortho-Shot: Low Displacement Rank Regularization With Data Augmentation for Few-Shot Learning
WACV 2022
Revisiting Outer Optimization in Adversarial Training
ECCV 2022
A Large-Scale, Time-Synchronized Visible and Thermal Face Dataset
WACV 2021
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
Exploiting Joint Robustness to Adversarial Perturbations
CVPR 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
Matrix Completion for Graph-Based Deep Semi-Supervised Learning
AAAI 2019
Quality-based Multimodal Classification using Tree-Structured Sparsity
CVPR 2014
Robust Lasso with missing and grossly corrupted observations
NeurIPS 2011