b'Siwei Lyu'

research

∙ 09/10/2023

Outlier Robust Adversarial Training

Supervised learning models are challenged by the intrinsic complexities ...

0 Shu Hu, et al. ∙

research

∙ 08/18/2023

Language-guided Human Motion Synthesis with Atomic Actions

Language-guided human motion synthesis has been a challenging task due t...

0 Yuanhao Zhai, et al. ∙

research

∙ 08/03/2023

Contrastive Multi-FaceForensics: An End-to-end Bi-grained Contrastive Learning Approach for Multi-face Forgery Detection

DeepFakes have raised serious societal concerns, leading to a great surg...

0 Cong Zhang, et al. ∙

research

∙ 08/02/2023

ForensicsForest Family: A Series of Multi-scale Hierarchical Cascade Forests for Detecting GAN-generated Faces

The prominent progress in generative models has significantly improved t...

0 Jiucui Lu, et al. ∙

research

∙ 07/27/2023

FakeTracer: Proactively Defending Against Face-swap DeepFakes via Implanting Traces in Training

Face-swap DeepFake is an emerging AI-based face forgery technique that c...

0 Pu Sun, et al. ∙

research

∙ 07/04/2023

DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection

A critical yet frequently overlooked challenge in the field of deepfake ...

0 Zhiyuan Yan, et al. ∙

research

∙ 06/29/2023

Improving Fairness in Deepfake Detection

Despite the development of effective deepfake detection models in recent...

0 Yan Ju, et al. ∙

research

∙ 04/25/2023

AI-Synthesized Voice Detection Using Neural Vocoder Artifacts

Advancements in AI-synthesized human voices have created a growing threa...

0 Chengzhe Sun, et al. ∙

research

∙ 04/14/2023

AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics

Recent advancements in language-image models have led to the development...

0 Shan Jia, et al. ∙

research

∙ 02/19/2023

Adversarial Machine Learning: A Systematic Survey of Backdoor Attack, Weight Attack and Adversarial Example

Adversarial machine learning (AML) studies the adversarial phenomenon of...

0 Baoyuan Wu, et al. ∙

research

∙ 02/18/2023

Exposing AI-Synthesized Human Voices Using Neural Vocoder Artifacts

The advancements of AI-synthesized human voices have introduced a growin...

0 Chengzhe Sun, et al. ∙

research

∙ 11/16/2022

GLFF: Global and Local Feature Fusion for Face Forgery Detection

With the rapid development of deep generative models (such as Generative...

0 Yan Ju, et al. ∙

research

∙ 10/27/2022

Fusion-based Few-Shot Morphing Attack Detection and Fingerprinting

The vulnerability of face recognition systems to morphing attacks has po...

0 Na Zhang, et al. ∙

research

∙ 10/21/2022

Detection of Real-time DeepFakes in Video Conferencing with Active Probing and Corneal Reflection

The COVID pandemic has led to the wide adoption of online video calls in...

0 Hui Guo, et al. ∙

research

∙ 09/19/2022

Uncertainty Aware Multitask Pyramid Vision Transformer For UAV-Based Object Re-Identification

Object Re-IDentification (ReID), one of the most significant problems in...

0 Syeda Nyma Ferdous, et al. ∙

research

∙ 07/18/2022

Rank-based Decomposable Losses in Machine Learning: A Survey

Recent works have revealed an essential paradigm in designing loss funct...

0 Shu Hu, et al. ∙

research

∙ 06/30/2022

DFGC 2022: The Second DeepFake Game Competition

This paper presents the summary report on our DFGC 2022 competition. The...

0 Bo Peng, et al. ∙

research

∙ 03/26/2022

Fusing Global and Local Features for Generalized AI-Synthesized Image Detection

With the development of the Generative Adversarial Networks (GANs) and D...

4 Yan Ju, et al. ∙

research

∙ 02/25/2022

Model Attribution of Face-swap Deepfake Videos

AI-created face-swap videos, commonly known as Deepfakes, have attracted...

0 Shan Jia, et al. ∙

research

∙ 02/04/2022

Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition

Graph Convolutional Networks (GCNs) have been widely used to model the h...

0 Lipeng Ke, et al. ∙

research

∙ 01/22/2022

Differentially Private SGDA for Minimax Problems

Stochastic gradient descent ascent (SGDA) and its variants have been the...

0 Zhenhuan Yang, et al. ∙

research

∙ 07/31/2021

T_kML-AP: Adversarial Attacks to Top-k Multi-Label Learning

Top-k multi-label learning, which returns the top-k predicted labels fro...

7 Shu Hu, et al. ∙

research

∙ 06/07/2021

Sum of Ranked Range Loss for Supervised Learning

In forming learning objectives, one oftentimes needs to aggregate a set ...

0 Shu Hu, et al. ∙

research

∙ 06/02/2021

DFGC 2021: A DeepFake Game Competition

This paper presents a summary of the DFGC 2021 competition. DeepFake tec...

11 Bo Peng, et al. ∙

research

∙ 05/06/2021

Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark

To promote the developments of object detection, tracking and counting a...

18 Longyin Wen, et al. ∙

research

∙ 03/02/2021

DeepFake-o-meter: An Open Platform for DeepFake Detection

In recent years, the advent of deep learning-based techniques and the si...

0 Yuezun Li, et al. ∙

research

∙ 02/01/2021

Landmark Breaker: Obstructing DeepFake By Disturbing Landmark Extraction

The recent development of Deep Neural Networks (DNN) has significantly i...

0 Pu Sun, et al. ∙

research

∙ 12/07/2020

Backdoor Attack with Sample-Specific Triggers

Recently, backdoor attacks pose a new security threat to the training pr...

0 Yuezun Li, et al. ∙

research

∙ 10/31/2020

LandmarkGAN: Synthesizing Faces from Landmarks

Face synthesis is an important problem in computer vision with many appl...

0 Pu Sun, et al. ∙

research

∙ 10/05/2020

Learning by Minimizing the Sum of Ranked Range

In forming learning objectives, one oftentimes needs to aggregate a set ...

18 Shu Hu, et al. ∙

research

∙ 09/24/2020

Exposing GAN-generated Faces Using Inconsistent Corneal Specular Highlights

Sophisticated generative adversary network (GAN) models are now able to ...

7 Shu Hu, et al. ∙

research

∙ 08/07/2020

Cascade Graph Neural Networks for RGB-D Salient Object Detection

In this paper, we study the problem of salient object detection (SOD) fo...

11 Ao Luo, et al. ∙

research

∙ 02/05/2020

Domain Embedded Multi-model Generative Adversarial Networks for Image-based Face Inpainting

Prior knowledge of face shape and location plays an important role in fa...

8 Xian Zhang, et al. ∙

research

∙ 12/20/2019

Learning Semantic Neural Tree for Human Parsing

The majority of existing human parsing methods formulate the task as sem...

6 Ruyi Ji, et al. ∙

research

∙ 12/04/2019

Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network

This paper proposes a space-time multi-scale attention network (STANet) ...

0 Longyin Wen, et al. ∙

research

∙ 10/19/2019

Fast Portrait Segmentation with extremely light-weight network

In this paper, we describe a fast and light-weight portrait segmentation...

0 Yuezun Li, et al. ∙

research

∙ 10/19/2019

Fast and Light-weight Portrait Segmentation

Improving the efficiency of portrait segmentation is of great importance...

0 Yuezun Li, et al. ∙

research

∙ 09/27/2019

Celeb-DF: A New Dataset for DeepFake Forensics

AI-synthesized face swapping videos, commonly known as the DeepFakes, ha...

0 Yuezun Li, et al. ∙

research

∙ 09/25/2019

Guided Attention Network for Object Detection and Counting on Drones

Object detection and counting are related but challenging problems, espe...

12 Yuanqiang Cai, et al. ∙

research

∙ 06/21/2019

Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations

Recent years have seen fast development in synthesizing realistic human ...

2 Yuezun Li, et al. ∙

research

∙ 06/11/2019

Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently

Existing hand detection methods usually follow the pipeline of multiple ...

0 Dan Liu, et al. ∙

research

∙ 04/10/2019

Data Priming Network for Automatic Check-Out

Automatic Check-Out (ACO) receives increased interests in recent years. ...

8 Congcong Li, et al. ∙

research

∙ 03/30/2019

Exposing GAN-synthesized Faces Using Landmark Locations

Generative adversary networks (GANs) have recently led to highly realist...

0 Xin Yang, et al. ∙

research

∙ 02/27/2019

Object-driven Text-to-Image Synthesis via Adversarial Training

In this paper, we propose Object-driven Attentive Generative Adversarial...

6 Wenbo Li, et al. ∙

research

∙ 02/12/2019

De-identification without losing faces

Training of deep learning models for computer vision requires large imag...

2 Yuezun Li, et al. ∙

research

∙ 12/10/2018

Learning Non-Uniform Hypergraph for Multi-Object Tracking

The majority of Multi-Object Tracking (MOT) algorithms based on the trac...

0 Longyin Wen, et al. ∙

research

∙ 11/06/2018

Evolvement Constrained Adversarial Learning for Video Style Transfer

Video style transfer is a useful component for applications such as augm...

0 Wenbo Li, et al. ∙

research

∙ 11/01/2018

Exposing Deep Fakes Using Inconsistent Head Poses

In this paper, we propose a new method to expose AI-generated fake face ...

0 Xin Yang, et al. ∙

research

∙ 11/01/2018

Exposing DeepFake Videos By Detecting Face Warping Artifacts

In this work, we describe a new deep learning based method that can effe...

0 Yuezun Li, et al. ∙

research

∙ 09/16/2018

Attacking Object Detectors via Imperceptible Patches on Background

Deep neural networks have been proven vulnerable against adversarial per...

0 Yuezun Li, et al. ∙

Siwei Lyu

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