b'Weihong Deng'

research

∙ 08/22/2023

SwinFace: A Multi-task Transformer for Face Recognition, Expression Recognition, Age Estimation and Attribute Estimation

In recent years, vision transformers have been introduced into face reco...

0 Lixiong Qin, et al. ∙

research

∙ 08/11/2023

Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation

Deep neural networks are vulnerable to universal adversarial perturbatio...

0 Xuannan Liu, et al. ∙

research

∙ 05/23/2023

Adaptive Face Recognition Using Adversarial Information Network

In many real-world applications, face recognition models often degenerat...

0 Mei Wang, et al. ∙

research

∙ 04/14/2023

CornerFormer: Boosting Corner Representation for Fine-Grained Structured Reconstruction

Structured reconstruction is a non-trivial dense prediction problem, whi...

0 Hongbo Tian, et al. ∙

research

∙ 04/05/2023

Gradient Attention Balance Network: Mitigating Face Recognition Racial Bias via Gradient Attention

Although face recognition has made impressive progress in recent years, ...

0 Linzhi Huang, et al. ∙

research

∙ 03/08/2023

Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module

In this paper, we delve into semi-supervised 2D human pose estimation. T...

0 Linzhi Huang, et al. ∙

research

∙ 02/16/2023

Unsupervised Evaluation of Out-of-distribution Detection: A Data-centric Perspective

Out-of-distribution (OOD) detection methods assume that they have test g...

0 Yuhang Zhang, et al. ∙

research

∙ 02/11/2023

Dive into the Resolution Augmentations and Metrics in Low Resolution Face Recognition: A Plain yet Effective New Baseline

Although deep learning has significantly improved Face Recognition (FR),...

0 Xu Ling, et al. ∙

research

∙ 12/29/2022

Efficient Image Super-Resolution with Feature Interaction Weighted Hybrid Network

Recently, great progress has been made in single-image super-resolution ...

0 Wenjie Li, et al. ∙

research

∙ 12/02/2022

Model and Data Agreement for Learning with Noisy Labels

Learning with noisy labels is a vital topic for practical deep learning ...

0 Yuhang Zhang, et al. ∙

research

∙ 08/17/2022

Disentangling Identity and Pose for Facial Expression Recognition

Facial expression recognition (FER) is a challenging problem because the...

0 Jing Jiang, et al. ∙

research

∙ 07/21/2022

Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition

Noisy label Facial Expression Recognition (FER) is more challenging than...

2 Yuhang Zhang, et al. ∙

research

∙ 07/19/2022

DH-AUG: DH Forward Kinematics Model Driven Augmentation for 3D Human Pose Estimation

Due to the lack of diversity of datasets, the generalization ability of ...

0 Linzhi Huang, et al. ∙

research

∙ 07/19/2022

Exploring Disentangled Content Information for Face Forgery Detection

Convolutional neural network based face forgery detection methods have a...

0 Jiahao Liang, et al. ∙

research

∙ 07/04/2022

Identifying Rhythmic Patterns for Face Forgery Detection and Categorization

With the emergence of GAN, face forgery technologies have been heavily a...

0 Jiahao Liang, et al. ∙

research

∙ 05/28/2022

Boosting Facial Expression Recognition by A Semi-Supervised Progressive Teacher

In this paper, we aim to improve the performance of in-the-wild Facial E...

0 Jing Jiang, et al. ∙

research

∙ 05/27/2022

Cycle Label-Consistent Networks for Unsupervised Domain Adaptation

Domain adaptation aims to leverage a labeled source domain to learn a cl...

0 Mei Wang, et al. ∙

research

∙ 05/27/2022

Deep face recognition with clustering based domain adaptation

Despite great progress in face recognition tasks achieved by deep convol...

0 Mei Wang, et al. ∙

research

∙ 05/24/2022

SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition

Deep face recognition has achieved great success due to large-scale trai...

12 Yaoyao Zhong, et al. ∙

research

∙ 05/24/2022

OPOM: Customized Invisible Cloak towards Face Privacy Protection

While convenient in daily life, face recognition technologies also raise...

0 Yaoyao Zhong, et al. ∙

research

∙ 05/19/2022

Oracle-MNIST: a Realistic Image Dataset for Benchmarking Machine Learning Algorithms

We introduce the Oracle-MNIST dataset, comprising of 28×28 grayscale ima...

0 Mei Wang, et al. ∙

research

∙ 05/13/2022

Unsupervised Structure-Texture Separation Network for Oracle Character Recognition

Oracle bone script is the earliest-known Chinese writing system of the S...

0 Mei Wang, et al. ∙

research

∙ 05/13/2022

Meta Balanced Network for Fair Face Recognition

Although deep face recognition has achieved impressive progress in recen...

4 Mei Wang, et al. ∙

research

∙ 03/02/2022

Video Question Answering: Datasets, Algorithms and Challenges

Video Question Answering (VideoQA) aims to answer natural language quest...

0 Yaoyao Zhong, et al. ∙

research

∙ 12/14/2021

Federated Learning for Face Recognition with Gradient Correction

With increasing appealing to privacy issues in face recognition, federat...

0 Yifan Niu, et al. ∙

research

∙ 09/13/2021

MLFW: A Database for Face Recognition on Masked Faces

As more and more people begin to wear masks due to current COVID-19 pand...

0 Chengrui Wang, et al. ∙

research

∙ 04/14/2021

Representative Forgery Mining for Fake Face Detection

Although vanilla Convolutional Neural Network (CNN) based detectors can ...

0 Chengrui Wang, et al. ∙

research

∙ 03/30/2021

Identity-Aware CycleGAN for Face Photo-Sketch Synthesis and Recognition

Face photo-sketch synthesis and recognition has many applications in dig...

0 Yuke Fang, et al. ∙

research

∙ 03/27/2021

Face Transformer for Recognition

Recently there has been great interests of Transformer not only in NLP b...

0 Yaoyao Zhong, et al. ∙

research

∙ 12/07/2020

Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation

Recent domain adaptation methods have demonstrated impressive improvemen...

0 Bingyu Liu, et al. ∙

research

∙ 08/26/2020

Point Adversarial Self Mining: A Simple Method for Facial Expression Recognition in the Wild

In this paper, the Point Adversarial Self Mining (PASM) approach, a simp...

0 Ping Liu, et al. ∙

research

∙ 08/12/2020

RAF-AU Database: In-the-Wild Facial Expressions with Subjective Emotion Judgement and Objective AU Annotations

Much of the work on automatic facial expression recognition relies on da...

0 Wenjing Yan, et al. ∙

research

∙ 06/25/2020

PropagationNet: Propagate Points to Curve to Learn Structure Information

Deep learning technique has dramatically boosted the performance of face...

0 Xiehe Huang, et al. ∙

research

∙ 05/18/2020

Omni-supervised Facial Expression Recognition: A Simple Baseline

In this paper, we target on advancing the performance in facial expressi...

13 Ping Liu, et al. ∙

research

∙ 04/13/2020

Towards Transferable Adversarial Attack against Deep Face Recognition

Face recognition has achieved great success in the last five years due t...

0 Yaoyao Zhong, et al. ∙

research

∙ 11/25/2019

Mitigate Bias in Face Recognition using Skewness-Aware Reinforcement Learning

Racial equality is an important theme of international human rights law,...

0 Mei Wang, et al. ∙

research

∙ 10/25/2019

Metric Classification Network in Actual Face Recognition Scene

In order to make facial features more discriminative, some new models ha...

26 Jian Li, et al. ∙

research

∙ 09/20/2019

Adversarial Learning with Margin-based Triplet Embedding Regularization

The Deep neural networks (DNNs) have achieved great success on a variety...

0 Yaoyao Zhong, et al. ∙

research

∙ 08/16/2019

Mixed High-Order Attention Network for Person Re-Identification

Attention has become more attractive in person reidentification (ReID) a...

6 Binghui Chen, et al. ∙

research

∙ 07/27/2019

Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image Retrieval

In zero-shot image retrieval (ZSIR) task, embedding learning becomes mor...

7 Binghui Chen, et al. ∙

research

∙ 04/25/2019

A Deeper Look at Facial Expression Dataset Bias

Datasets play an important role in the progress of facial expression rec...

0 Shan Li, et al. ∙

research

∙ 04/04/2019

Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning

Deep metric learning, which learns discriminative features to process im...

44 Tongtong Yuan, et al. ∙

research

∙ 01/22/2019

Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering

Deep metric learning has been widely applied in many computer vision tas...

0 Binghui Chen, et al. ∙

research

∙ 12/01/2018

Racial Faces in-the-Wild: Reducing Racial Bias by Deep Unsupervised Domain Adaptation

Despite of the progress achieved by deep learning in face recognition (F...

0 Mei Wang, et al. ∙

research

∙ 11/30/2018

Virtual Class Enhanced Discriminative Embedding Learning

Recently, learning discriminative features to improve the recognition pe...

0 Binghui Chen, et al. ∙

research

∙ 11/20/2018

Learning Better Features for Face Detection with Feature Fusion and Segmentation Supervision

The performance of face detectors has been largely improved with the dev...

0 Wanxin Tian, et al. ∙

research

∙ 06/04/2018

ALMN: Deep Embedding Learning with Geometrical Virtual Point Generating

Deep embedding learning becomes more attractive for discriminative featu...

0 Binghui Chen, et al. ∙

research

∙ 04/23/2018

Deep Facial Expression Recognition: A Survey

With the transition of facial expression recognition (FER) from laborato...

0 Shan Li, et al. ∙

research

∙ 04/18/2018

Deep Face Recognition: A Survey

Driven by graphics processing units (GPUs), massive amounts of annotated...

0 Mei Wang, et al. ∙

research

∙ 02/10/2018

Deep Visual Domain Adaptation: A Survey

Deep domain adaption has emerged as a new learning technique to address ...

0 Mei Wang, et al. ∙

Weihong Deng

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