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09/20/2023
Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting
With the acceleration of urbanization, traffic forecasting has become an...
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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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06/12/2023
NPVForensics: Jointing Non-critical Phonemes and Visemes for Deepfake Detection
Deepfake technologies empowered by deep learning are rapidly evolving, c...
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06/09/2023
The Age of Synthetic Realities: Challenges and Opportunities
Synthetic realities are digital creations or augmentations that are cont...
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06/05/2023
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
The out-of-distribution (OOD) problem generally arises when neural netwo...
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05/10/2023
Interpretable Multimodal Misinformation Detection with Logic Reasoning
Multimodal misinformation on online social platforms is becoming a criti...
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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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03/02/2023
Enhancing General Face Forgery Detection via Vision Transformer with Low-Rank Adaptation
Nowadays, forgery faces pose pressing security concerns over fake news, ...
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02/28/2023
Temporal Coherent Test-Time Optimization for Robust Video Classification
Deep neural networks are likely to fail when the test data is corrupted ...
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02/26/2023
Robust Cross-domain CT Image Reconstruction via Bayesian Noise Uncertainty Alignment
In this work, we tackle the problem of robust computed tomography (CT) r...
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02/22/2023
Learning Dynamic Graph Embeddings with Neural Controlled Differential Equations
This paper focuses on representation learning for dynamic graphs with te...
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01/30/2023
M3FAS: An Accurate and Robust MultiModal Mobile Face Anti-Spoofing System
Face presentation attacks (FPA), also known as face spoofing, have broug...
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11/30/2022
Two-branch Multi-scale Deep Neural Network for Generalized Document Recapture Attack Detection
The image recapture attack is an effective image manipulation method to ...
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11/13/2022
Generalization Beyond Feature Alignment: Concept Activation-Guided Contrastive Learning
Learning invariant representations via contrastive learning has seen sta...
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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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10/07/2022
Towards Multi-Modal Sarcasm Detection via Hierarchical Congruity Modeling with Knowledge Enhancement
Sarcasm is a linguistic phenomenon indicating a discrepancy between lite...
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09/29/2022
Digital and Physical Face Attacks: Reviewing and One Step Further
With the rapid progress over the past five years, face authentication ha...
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07/25/2022
Domain-invariant Feature Exploration for Domain Generalization
Deep learning has achieved great success in the past few years. However,...
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05/16/2022
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder
Domain generalization aims to improve the generalization capability of m...
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05/08/2022
One-Class Knowledge Distillation for Face Presentation Attack Detection
Face presentation attack detection (PAD) has been extensively studied by...
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01/28/2022
Rethinking Attention-Model Explainability through Faithfulness Violation Test
Attention mechanisms are dominating the explainability of deep models. T...
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10/18/2021
Asymmetric Modality Translation For Face Presentation Attack Detection
Face presentation attack detection (PAD) is an essential measure to prot...
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10/13/2021
Learning Meta Pattern for Face Anti-Spoofing
Face Anti-Spoofing (FAS) is essential to secure face recognition systems...
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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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09/26/2021
Disentangled Feature Representation for Few-shot Image Classification
Learning the generalizable feature representation is critical for few-sh...
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09/13/2021
Low-Light Image Enhancement with Normalizing Flow
To enhance low-light images to normally-exposed ones is highly ill-posed...
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09/13/2021
Variational Disentanglement for Domain Generalization
Domain generalization aims to learn an invariant model that can generali...
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07/13/2021
Detect and Locate: A Face Anti-Manipulation Approach with Semantic and Noise-level Supervision
The technological advancements of deep learning have enabled sophisticat...
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07/06/2021
Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation
Though convolutional neural networks are widely used in different tasks,...
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05/14/2021
Privacy-Preserving Constrained Domain Generalization for Medical Image Classification
Deep neural networks (DNN) have demonstrated unprecedented success for m...
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01/25/2021
Camera Invariant Feature Learning for Generalized Face Anti-spoofing
There has been an increasing consensus in learning based face anti-spoof...
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09/27/2020
Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization
Recently, we have witnessed great progress in the field of medical imagi...
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09/16/2020
DRL-FAS: A Novel Framework Based on Deep Reinforcement Learning for Face Anti-Spoofing
Inspired by the philosophy employed by human beings to determine whether...
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09/15/2020
Light Can Hack Your Face! Black-box Backdoor Attack on Face Recognition Systems
Deep neural networks (DNN) have shown great success in many computer vis...
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09/11/2020
Heterogeneous Domain Generalization via Domain Mixup
One of the main drawbacks of deep Convolutional Neural Networks (DCNN) i...
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08/19/2020
No-reference Quality Assessment with Unsupervised Domain Adaptation
Quality assessment driven by machine learning generally relies on the st...
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03/03/2019
Face Image Reflection Removal
Face images captured through the glass are usually contaminated by refle...
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07/04/2018
