Search Results for author: Jiankang Deng

Found 33 papers, 18 papers with code

WebFace260M: A Benchmark for Million-Scale Deep Face Recognition

no code implementations21 Apr 2022 Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, JunJie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Dalong Du, Jiwen Lu, Jie zhou

For a comprehensive evaluation of face matchers, three recognition tasks are performed under standard, masked and unbiased settings, respectively.

Face Recognition

Killing Two Birds with One Stone:Efficient and Robust Training of Face Recognition CNNs by Partial FC

1 code implementation28 Mar 2022 Xiang An, Jiankang Deng, Jia Guo, Ziyong Feng, Xuhan Zhu, Jing Yang, Tongliang Liu

In each iteration, positive class centers and a random subset of negative class centers are selected to compute the margin-based softmax loss.

 Ranked #1 on Face Verification on IJB-C (training dataset metric)

Face Recognition Face Verification

Facial Geometric Detail Recovery via Implicit Representation

1 code implementation18 Mar 2022 Xingyu Ren, Alexandros Lattas, Baris Gecer, Jiankang Deng, Chao Ma, Xiaokang Yang, Stefanos Zafeiriou

Learning a dense 3D model with fine-scale details from a single facial image is highly challenging and ill-posed.

Killing Two Birds With One Stone: Efficient and Robust Training of Face Recognition CNNs by Partial FC

no code implementations CVPR 2022 Xiang An, Jiankang Deng, Jia Guo, Ziyong Feng, Xuhan Zhu, Jing Yang, Tongliang Liu

In each iteration, positive class centers and a random subset of negative class centers are selected to compute the margin-based softmax loss.

Face Recognition

Masked Face Recognition Challenge: The InsightFace Track Report

1 code implementation18 Aug 2021 Jiankang Deng, Jia Guo, Xiang An, Zheng Zhu, Stefanos Zafeiriou

In this workshop, we organize Masked Face Recognition (MFR) challenge and focus on bench-marking deep face recognition methods under the existence of facial masks.

Face Recognition

Poly-NL: Linear Complexity Non-local Layers with Polynomials

no code implementations6 Jul 2021 Francesca Babiloni, Ioannis Marras, Filippos Kokkinos, Jiankang Deng, Grigorios Chrysos, Stefanos Zafeiriou

Spatial self-attention layers, in the form of Non-Local blocks, introduce long-range dependencies in Convolutional Neural Networks by computing pairwise similarities among all possible positions.

Face Detection Instance Segmentation +1

Variational Prototype Learning for Deep Face Recognition

no code implementations CVPR 2021 Jiankang Deng, Jia Guo, Jing Yang, Alexandros Lattas, Stefanos Zafeiriou

Deep face recognition has achieved remarkable improvements due to the introduction of margin-based softmax loss, in which the prototype stored in the last linear layer represents the center of each class.

Face Recognition

Sample and Computation Redistribution for Efficient Face Detection

2 code implementations ICLR 2022 Jia Guo, Jiankang Deng, Alexandros Lattas, Stefanos Zafeiriou

Although tremendous strides have been made in uncontrolled face detection, efficient face detection with a low computation cost as well as high precision remains an open challenge.

Face Detection

MogFace: Towards a Deeper Appreciation on Face Detection

2 code implementations CVPR 2022 Yang Liu, Fei Wang, Jiankang Deng, Zhipeng Zhou, Baigui Sun, Hao Li

As a result, practical solutions on label assignment, scale-level data augmentation, and reducing false alarms are necessary for advancing face detectors.

Data Augmentation Face Detection

WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition

no code implementations CVPR 2021 Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, JunJie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Jiwen Lu, Dalong Du, Jie zhou

In this paper, we contribute a new million-scale face benchmark containing noisy 4M identities/260M faces (WebFace260M) and cleaned 2M identities/42M faces (WebFace42M) training data, as well as an elaborately designed time-constrained evaluation protocol.

 Ranked #1 on Face Verification on IJB-C (training dataset metric)

Face Recognition Face Verification

Poly-NL: Linear Complexity Non-Local Layers With 3rd Order Polynomials

no code implementations ICCV 2021 Francesca Babiloni, Ioannis Marras, Filippos Kokkinos, Jiankang Deng, Grigorios Chrysos, Stefanos Zafeiriou

Spatial self-attention layers, in the form of Non-Local blocks, introduce long-range dependencies in Convolutional Neural Networks by computing pairwise similarities among all possible positions.

Face Detection Instance Segmentation +1

OSTeC: One-Shot Texture Completion

1 code implementation CVPR 2021 Baris Gecer, Jiankang Deng, Stefanos Zafeiriou

Many recent 3D facial texture reconstruction and pose manipulation from a single image approaches still rely on large and clean face datasets to train image-to-image Generative Adversarial Networks (GANs).

Face Recognition Robust Face Recognition

Extended T: Learning with Mixed Closed-set and Open-set Noisy Labels

no code implementations2 Dec 2020 Xiaobo Xia, Tongliang Liu, Bo Han, Nannan Wang, Jiankang Deng, Jiatong Li, Yinian Mao

The traditional transition matrix is limited to model closed-set label noise, where noisy training data has true class labels within the noisy label set.

Deep Polynomial Neural Networks

1 code implementation20 Jun 2020 Grigorios Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou

We introduce three tensor decompositions that significantly reduce the number of parameters and show how they can be efficiently implemented by hierarchical neural networks.

Conditional Image Generation Face Identification +4

Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning

1 code implementation NeurIPS 2020 Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Jiankang Deng, Gang Niu, Masashi Sugiyama

By this intermediate class, the original transition matrix can then be factorized into the product of two easy-to-estimate transition matrices.

RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild

4 code implementations CVPR 2020 Jiankang Deng, Jia Guo, Evangelos Ververas, Irene Kotsia, Stefanos Zafeiriou

Though tremendous strides have been made in uncontrolled face detection, accurate and efficient 2D face alignment and 3D face reconstruction in-the-wild remain an open challenge.

3D Face Reconstruction Face Alignment +1

$Π-$nets: Deep Polynomial Neural Networks

2 code implementations8 Mar 2020 Grigorios G. Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Yannis Panagakis, Jiankang Deng, Stefanos Zafeiriou

Deep Convolutional Neural Networks (DCNNs) is currently the method of choice both for generative, as well as for discriminative learning in computer vision and machine learning.

Audio Classification Graph Representation Learning +2

Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks

2 code implementations ECCV 2020 Baris Gecer, Alexander Lattas, Stylianos Ploumpis, Jiankang Deng, Athanasios Papaioannou, Stylianos Moschoglou, Stefanos Zafeiriou

In this paper, we present the first methodology that generates high-quality texture, shape, and normals jointly, which can be used for photo-realistic synthesis.

Face Generation

Dense 3D Face Decoding over 2500FPS: Joint Texture & Shape Convolutional Mesh Decoders

no code implementations CVPR 2019 Yuxiang Zhou, Jiankang Deng, Irene Kotsia, Stefanos Zafeiriou

3D Morphable Models (3DMMs) are statistical models that represent facial texture and shape variations using a set of linear bases and more particular Principal Component Analysis (PCA).

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

84 code implementations CVPR 2019 Jiankang Deng, Jia Guo, Niannan Xue, Stefanos Zafeiriou

One of the main challenges in feature learning using Deep Convolutional Neural Networks (DCNNs) for large-scale face recognition is the design of appropriate loss functions that enhance discriminative power.

 Ranked #1 on Face Verification on IJB-C (training dataset metric)

Face Identification Face Recognition +1

Side Information for Face Completion: a Robust PCA Approach

no code implementations20 Jan 2018 Niannan Xue, Jiankang Deng, Shiyang Cheng, Yannis Panagakis, Stefanos Zafeiriou

Robust principal component analysis (RPCA) is a powerful method for learning low-rank feature representation of various visual data.

Face Recognition Facial Inpainting +1

UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition

no code implementations CVPR 2018 Jiankang Deng, Shiyang Cheng, Niannan Xue, Yuxiang Zhou, Stefanos Zafeiriou

We demonstrate that by attaching the completed UV to the fitted mesh and generating instances of arbitrary poses, we can increase pose variations for training deep face recognition/verification models, and minimise pose discrepancy during testing, which lead to better performance.

3D Face Alignment Face Alignment +4

Joint Multi-view Face Alignment in the Wild

no code implementations20 Aug 2017 Jiankang Deng, George Trigeorgis, Yuxiang Zhou, Stefanos Zafeiriou

This encompasses two basic problems: i) the detection and deformable fitting steps are performed independently, while the detector might not provide best-suited initialisation for the fitting step, ii) the face appearance varies hugely across different poses, which makes the deformable face fitting very challenging and thus distinct models have to be used (\eg, one for profile and one for frontal faces).

Face Alignment Face Detection

Cannot find the paper you are looking for? You can Submit a new open access paper.