b'Shouhong Ding'

research

∙ 09/20/2023

Contrastive Pseudo Learning for Open-World DeepFake Attribution

The challenge in sourcing attribution for forgery faces has gained wides...

0 Zhimin Sun, et al. ∙

research

∙ 08/21/2023

Privacy-Preserving Face Recognition Using Random Frequency Components

The ubiquitous use of face recognition has sparked increasing privacy co...

0 Yuxi Mi, et al. ∙

research

∙ 08/11/2023

Continual Face Forgery Detection via Historical Distribution Preserving

Face forgery techniques have advanced rapidly and pose serious security ...

0 Ke Sun, et al. ∙

research

∙ 08/09/2023

Seeing in Flowing: Adapting CLIP for Action Recognition with Motion Prompts Learning

The Contrastive Language-Image Pre-training (CLIP) has recently shown re...

0 Qiang Wang, et al. ∙

research

∙ 07/31/2023

Towards General Visual-Linguistic Face Forgery Detection

Deepfakes are realistic face manipulations that can pose serious threats...

0 Ke Sun, et al. ∙

research

∙ 07/02/2023

Query-Efficient Decision-based Black-Box Patch Attack

Deep neural networks (DNNs) have been showed to be highly vulnerable to ...

0 Zhaoyu Chen, et al. ∙

research

∙ 05/18/2023

Towards Generalizable Data Protection With Transferable Unlearnable Examples

Artificial Intelligence (AI) is making a profound impact in almost every...

0 Bin Fang, et al. ∙

research

∙ 05/18/2023

Re-thinking Data Availablity Attacks Against Deep Neural Networks

The unauthorized use of personal data for commercial purposes and the cl...

0 Bin Fang, et al. ∙

research

∙ 05/18/2023

Content-based Unrestricted Adversarial Attack

Unrestricted adversarial attacks typically manipulate the semantic conte...

0 Zhaoyu Chen, et al. ∙

research

∙ 04/12/2023

Instance-Aware Domain Generalization for Face Anti-Spoofing

Face anti-spoofing (FAS) based on domain generalization (DG) has been re...

0 Qianyu Zhou, et al. ∙

research

∙ 03/22/2023

Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition

A hard challenge in developing practical face recognition (FR) attacks i...

0 Zexin Li, et al. ∙

research

∙ 03/08/2023

Exploiting the Textual Potential from Vision-Language Pre-training for Text-based Person Search

Text-based Person Search (TPS), is targeted on retrieving pedestrians to...

0 Guanshuo Wang, et al. ∙

research

∙ 12/07/2022

Artificial Intelligence Security Competition (AISC)

The security of artificial intelligence (AI) is an important research ar...

12 Yinpeng Dong, et al. ∙

research

∙ 10/13/2022

Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition

Deep learning models have shown their vulnerability when dealing with ad...

0 Shuai Jia, et al. ∙

research

∙ 09/28/2022

Adma-GAN: Attribute-Driven Memory Augmented GANs for Text-to-Image Generation

As a challenging task, text-to-image generation aims to generate photo-r...

0 Xintian Wu, et al. ∙

research

∙ 09/25/2022

ECO-TR: Efficient Correspondences Finding Via Coarse-to-Fine Refinement

Modeling sparse and dense image matching within a unified functional cor...

5 Dongli Tan, et al. ∙

research

∙ 09/25/2022

Towards Stable Co-saliency Detection and Object Co-segmentation

In this paper, we present a novel model for simultaneous stable co-salie...

0 Bo Li, et al. ∙

research

∙ 09/01/2022

Federated Learning with Label Distribution Skew via Logits Calibration

Traditional federated optimization methods perform poorly with heterogen...

4 Jie Zhang, et al. ∙

research

∙ 07/25/2022

Domain Adaptive Person Search

Person search is a challenging task which aims to achieve joint pedestri...

0 Junjie Li, et al. ∙

research

∙ 07/20/2022

Generative Domain Adaptation for Face Anti-Spoofing

Face anti-spoofing (FAS) approaches based on unsupervised domain adaptio...

0 Qianyu Zhou, et al. ∙

research

∙ 07/20/2022

Adaptive Mixture of Experts Learning for Generalizable Face Anti-Spoofing

With various face presentation attacks emerging continually, face anti-s...

0 Qianyu Zhou, et al. ∙

research

∙ 07/15/2022

DuetFace: Collaborative Privacy-Preserving Face Recognition via Channel Splitting in the Frequency Domain

With the wide application of face recognition systems, there is rising c...

0 Yuxi Mi, et al. ∙

research

∙ 07/15/2022

Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain

Face recognition technology has been used in many fields due to its high...

0 Jiazhen Ji, et al. ∙

research

∙ 06/06/2022

Evaluation-oriented Knowledge Distillation for Deep Face Recognition

Knowledge distillation (KD) is a widely-used technique that utilizes lar...

0 Yuge Huang, et al. ∙

research

∙ 03/29/2022

Exploring Frequency Adversarial Attacks for Face Forgery Detection

Various facial manipulation techniques have drawn serious public concern...

0 Shuai Jia, et al. ∙

research

∙ 03/18/2022

ContrastMask: Contrastive Learning to Segment Every Thing

Partially-supervised instance segmentation is a task which requests segm...

0 Xuehui Wang, et al. ∙

research

∙ 03/16/2022

Towards Practical Certifiable Patch Defense with Vision Transformer

Patch attacks, one of the most threatening forms of physical attack in a...

0 Zhaoyu Chen, et al. ∙

research

∙ 12/30/2021

Feature Generation and Hypothesis Verification for Reliable Face Anti-Spoofing

Although existing face anti-spoofing (FAS) methods achieve high accuracy...

0 Shice Liu, et al. ∙

research

∙ 12/28/2021

Exploiting Fine-grained Face Forgery Clues via Progressive Enhancement Learning

With the rapid development of facial forgery techniques, forgery detecti...

0 Qiqi Gu, et al. ∙

research

∙ 12/27/2021

Dual Contrastive Learning for General Face Forgery Detection

With various facial manipulation techniques arising, face forgery detect...

0 Ke Sun, et al. ∙

research

∙ 10/25/2021

Highly Efficient Natural Image Matting

Over the last few years, deep learning based approaches have achieved ou...

0 Yijie Zhong, et al. ∙

research

∙ 09/04/2021

Spatiotemporal Inconsistency Learning for DeepFake Video Detection

The rapid development of facial manipulation techniques has aroused publ...

23 Zhihao Gu, et al. ∙

research

∙ 08/08/2021

Disentangled High Quality Salient Object Detection

Aiming at discovering and locating most distinctive objects from visual ...

6 Lv Tang, et al. ∙

research

∙ 08/05/2021

Adaptive Normalized Representation Learning for Generalizable Face Anti-Spoofing

With various face presentation attacks arising under unseen scenarios, f...

0 Shubao Liu, et al. ∙

research

∙ 07/22/2021

Structure Destruction and Content Combination for Face Anti-Spoofing

In pursuit of consolidating the face verification systems, prior face an...

0 Ke-Yue Zhang, et al. ∙

research

∙ 06/30/2021

Dual Reweighting Domain Generalization for Face Presentation Attack Detection

Face anti-spoofing approaches based on domain generalization (DG) have d...

0 Shubao Liu, et al. ∙

research

∙ 06/15/2021

Securing Face Liveness Detection Using Unforgeable Lip Motion Patterns

Face authentication usually utilizes deep learning models to verify user...

0 Man Zhou, et al. ∙

research

∙ 05/07/2021

Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition

Deep neural networks, particularly face recognition models, have been sh...

0 Bangjie Yin, et al. ∙

research

∙ 05/06/2021

Local Relation Learning for Face Forgery Detection

With the rapid development of facial manipulation techniques, face forge...

0 Shen Chen, et al. ∙

research

∙ 05/06/2021

Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing

Face anti-spoofing approach based on domain generalization(DG) has drawn...

0 Zhihong Chen, et al. ∙

research

∙ 04/26/2021

Delving into Data: Effectively Substitute Training for Black-box Attack

Deep models have shown their vulnerability when processing adversarial s...

3 Wenxuan Wang, et al. ∙

research

∙ 02/18/2021

DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results

This paper reports methods and results in the DeeperForensics Challenge ...

12 Liming Jiang, et al. ∙

research

∙ 02/01/2021

Aurora Guard: Reliable Face Anti-Spoofing via Mobile Lighting System

Face authentication on mobile end has been widely applied in various sce...

0 Jian Zhang, et al. ∙

research

∙ 08/19/2020

Face Anti-Spoofing Via Disentangled Representation Learning

Face anti-spoofing is crucial to security of face recognition systems. P...

54 Ke-Yue Zhang, et al. ∙

research

∙ 02/05/2020

Anomaly Detection by Latent Regularized Dual Adversarial Networks

Anomaly detection is a fundamental problem in computer vision area with ...

0 Chengwei Chen, et al. ∙

research

∙ 03/26/2019

FVNet: 3D Front-View Proposal Generation for Real-Time Object Detection from Point Clouds

3D object detection from raw and sparse point clouds has been far less t...

0 Jie Zhou, et al. ∙

research

∙ 02/27/2019

Aurora Guard: Real-Time Face Anti-Spoofing via Light Reflection

In this paper, we propose a light reflection based face anti-spoofing me...

0 Yao Liu, et al. ∙

research

∙ 07/31/2016

Learning deep representation from coarse to fine for face alignment

In this paper, we propose a novel face alignment method that trains deep...

0 Zhiwen Shao, et al. ∙

Shouhong Ding

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