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09/07/2023
S-Adapter: Generalizing Vision Transformer for Face Anti-Spoofing with Statistical Tokens
Face Anti-Spoofing (FAS) aims to detect malicious attempts to invade a f...
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08/17/2023
Hyperbolic Face Anti-Spoofing
Learning generalized face anti-spoofing (FAS) models against presentatio...
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03/16/2023
Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less
Face Anti-Spoofing (FAS) is recently studied under the continual learnin...
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02/28/2023
Adapter Incremental Continual Learning of Efficient Audio Spectrogram Transformers
Continual learning involves training neural networks incrementally for n...
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02/25/2023
Raw Image Reconstruction with Learned Compact Metadata
While raw images exhibit advantages over sRGB images (e.g., linearity an...
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02/11/2023
Rethinking Vision Transformer and Masked Autoencoder in Multimodal Face Anti-Spoofing
Recently, vision transformer (ViT) based multimodal learning methods hav...
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02/11/2023
Flexible-modal Deception Detection with Audio-Visual Adapter
Detecting deception by human behaviors is vital in many fields such as c...
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11/20/2022
Traceable and Authenticable Image Tagging for Fake News Detection
To prevent fake news images from misleading the public, it is desirable ...
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10/25/2022
Toward domain generalized pruning by scoring out-of-distribution importance
Filter pruning has been widely used for compressing convolutional neural...
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01/10/2022
Enhancing Low-Light Images in Real World via Cross-Image Disentanglement
Images captured in the low-light condition suffer from low visibility an...
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11/19/2021
Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method
Intelligent Internet of Things (IoT) systems based on deep neural networ...
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10/15/2021
On Generating Identifiable Virtual Faces
Face anonymization with generative models have become increasingly preva...
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10/13/2021
Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions
The state-of-the-art deep neural networks are vulnerable to common corru...
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09/21/2020
Feature Distillation With Guided Adversarial Contrastive Learning
Deep learning models are shown to be vulnerable to adversarial examples....
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05/01/2020
