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03/02/2023
BIFRNet: A Brain-Inspired Feature Restoration DNN for Partially Occluded Image Recognition
The partially occluded image recognition (POIR) problem has been a chall...
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11/11/2022
Dual Complementary Dynamic Convolution for Image Recognition
As a powerful engine, vanilla convolution has promoted huge breakthrough...
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11/12/2021
Meta-Teacher For Face Anti-Spoofing
Face anti-spoofing (FAS) secures face recognition from presentation atta...
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10/13/2021
Adversarial Attack across Datasets
It has been observed that Deep Neural Networks (DNNs) are vulnerable to ...
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09/05/2021
Training Meta-Surrogate Model for Transferable Adversarial Attack
We consider adversarial attacks to a black-box model when no queries are...
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07/25/2021
PoseFace: Pose-Invariant Features and Pose-Adaptive Loss for Face Recognition
Despite the great success achieved by deep learning methods in face reco...
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06/28/2021
Deep Learning for Face Anti-Spoofing: A Survey
Face anti-spoofing (FAS) has lately attracted increasing attention due t...
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05/04/2021
Dual-Cross Central Difference Network for Face Anti-Spoofing
Face anti-spoofing (FAS) plays a vital role in securing face recognition...
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02/10/2021
Searching for Alignment in Face Recognition
A standard pipeline of current face recognition frameworks consists of f...
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07/16/2020
Layer-Wise Adaptive Updating for Few-Shot Image Classification
Few-shot image classification (FSIC), which requires a model to recogniz...
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04/17/2020
Multi-Modal Face Anti-Spoofing Based on Central Difference Networks
Face anti-spoofing (FAS) plays a vital role in securing face recognition...
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03/18/2020
Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing
Face anti-spoofing is critical to the security of face recognition syste...
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03/09/2020
Searching Central Difference Convolutional Networks for Face Anti-Spoofing
Face anti-spoofing (FAS) plays a vital role in face recognition systems....
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04/29/2019
Meta Anti-spoofing: Learning to Learn in Face Anti-spoofing
Face anti-spoofing is crucial to the security of face recognition system...
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12/11/2018
Rethink and Redesign Meta learning
Recently, Meta-learning has been shown as a promising way to improve the...
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11/19/2018
Representation based and Attention augmented Meta learning
Deep learning based computer vision fails to work when labeled images ar...
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11/13/2018
