Search Results for author: Zhen Lei

Found 89 papers, 26 papers with code

Beyond 3DMM Space: Towards Fine-grained 3D Face Reconstruction

1 code implementation ECCV 2020 Xiangyu Zhu, Fan Yang, Di Huang, Chang Yu, Hao Wang, Jianzhu Guo, Zhen Lei, Stan Z. Li

However, most of their training data is constructed by 3D Morphable Model, whose space spanned is only a small part of the shape space.

3D Face Reconstruction

Exclusivity-Consistency Regularized Knowledge Distillation for Face Recognition

no code implementations ECCV 2020 Xiaobo Wang, Tianyu Fu, Shengcai Liao, Shuo Wang, Zhen Lei, Tao Mei

Knowledge distillation is an effective tool to compress large pre-trained Convolutional Neural Networks (CNNs) or their ensembles into models applicable to mobile and embedded devices.

Face Recognition Knowledge Distillation

OTAvatar: One-shot Talking Face Avatar with Controllable Tri-plane Rendering

1 code implementation26 Mar 2023 Zhiyuan Ma, Xiangyu Zhu, GuoJun Qi, Zhen Lei, Lei Zhang

In this paper, we propose One-shot Talking face Avatar (OTAvatar), which constructs face avatars by a generalized controllable tri-plane rendering solution so that each personalized avatar can be constructed from only one portrait as the reference.

Graphics Capsule: Learning Hierarchical 3D Face Representations from 2D Images

no code implementations20 Mar 2023 Chang Yu, Xiangyu Zhu, Xiaomei Zhang, Zhaoxiang Zhang, Zhen Lei

The function of constructing the hierarchy of objects is important to the visual process of the human brain.

Face Recognition

Sharpness-Aware Gradient Matching for Domain Generalization

1 code implementation18 Mar 2023 Pengfei Wang, Zhaoxiang Zhang, Zhen Lei, Lei Zhang

In this paper, we present two conditions to ensure that the model could converge to a flat minimum with a small loss, and present an algorithm, named Sharpness-Aware Gradient Matching (SAGM), to meet the two conditions for improving model generalization capability.

Domain Generalization

Intrinsic Physical Concepts Discovery with Object-Centric Predictive Models

no code implementations3 Mar 2023 Qu Tang, Xiangyu Zhu, Zhen Lei, Zhaoxiang Zhang

The ability to discover abstract physical concepts and understand how they work in the world through observing lies at the core of human intelligence.

Self-similarity Driven Scale-invariant Learning for Weakly Supervised Person Search

no code implementations25 Feb 2023 Benzhi Wang, Yang Yang, Jinlin Wu, Guo-Jun Qi, Zhen Lei

On the other hand, the similarity of cross-scale images is often smaller than that of images with the same scale for a person, which will increase the difficulty of matching.

Person Search

Deep Learning for Human Parsing: A Survey

no code implementations29 Jan 2023 Xiaomei Zhang, Xiangyu Zhu, Ming Tang, Zhen Lei

Human parsing is a key topic in image processing with many applications, such as surveillance analysis, human-robot interaction, person search, and clothing category classification, among many others.

Human Parsing Person Search

Surveillance Face Anti-spoofing

no code implementations3 Jan 2023 Hao Fang, Ajian Liu, Jun Wan, Sergio Escalera, Chenxu Zhao, Xu Zhang, Stan Z. Li, Zhen Lei

In order to promote relevant research and fill this gap in the community, we collect a large-scale Surveillance High-Fidelity Mask (SuHiFiMask) dataset captured under 40 surveillance scenes, which has 101 subjects from different age groups with 232 3D attacks (high-fidelity masks), 200 2D attacks (posters, portraits, and screens), and 2 adversarial attacks.

Contrastive Learning Face Anti-Spoofing +2

Face Presentation Attack Detection

no code implementations7 Dec 2022 Zitong Yu, Chenxu Zhao, Zhen Lei

Face recognition technology has been widely used in daily interactive applications such as checking-in and mobile payment due to its convenience and high accuracy.

Face Anti-Spoofing Face Presentation Attack Detection +1

Single-Image 3D Face Reconstruction under Perspective Projection

no code implementations9 May 2022 Yueying Kao, Bowen Pan, Miao Xu, Jiangjing Lyu, Xiangyu Zhu, Yuanzhang Chang, Xiaobo Li, Zhen Lei, Zixiong Qin

In 3D face reconstruction, orthogonal projection has been widely employed to substitute perspective projection to simplify the fitting process.

3D Face Reconstruction

MVP-Human Dataset for 3D Human Avatar Reconstruction from Unconstrained Frames

no code implementations24 Apr 2022 Xiangyu Zhu, Tingting Liao, Jiangjing Lyu, Xiang Yan, Yunfeng Wang, Kan Guo, Qiong Cao, Stan Z. Li, Zhen Lei

In this paper, we consider a novel problem of reconstructing a 3D human avatar from multiple unconstrained frames, independent of assumptions on camera calibration, capture space, and constrained actions.

Camera Calibration

Weakly Aligned Feature Fusion for Multimodal Object Detection

no code implementations21 Apr 2022 Lu Zhang, Zhiyong Liu, Xiangyu Zhu, Zhan Song, Xu Yang, Zhen Lei, Hong Qiao

In this article, we propose a general multimodal detector named aligned region CNN (AR-CNN) to tackle the position shift problem.

object-detection Robust Object Detection

Beyond 3DMM: Learning to Capture High-fidelity 3D Face Shape

no code implementations9 Apr 2022 Xiangyu Zhu, Chang Yu, Di Huang, Zhen Lei, Hao Wang, Stan Z. Li

3D Morphable Model (3DMM) fitting has widely benefited face analysis due to its strong 3D priori.

Nested Collaborative Learning for Long-Tailed Visual Recognition

1 code implementation CVPR 2022 Jun Li, Zichang Tan, Jun Wan, Zhen Lei, Guodong Guo

NCL consists of two core components, namely Nested Individual Learning (NIL) and Nested Balanced Online Distillation (NBOD), which focus on the individual supervised learning for each single expert and the knowledge transferring among multiple experts, respectively.

Image Classification Long-tail Learning

HP-Capsule: Unsupervised Face Part Discovery by Hierarchical Parsing Capsule Network

no code implementations CVPR 2022 Chang Yu, Xiangyu Zhu, Xiaomei Zhang, Zidu Wang, Zhaoxiang Zhang, Zhen Lei

Capsule networks are designed to present the objects by a set of parts and their relationships, which provide an insight into the procedure of visual perception.

Solving parametric partial differential equations with deep rectified quadratic unit neural networks

no code implementations14 Mar 2022 Zhen Lei, Lei Shi, Chenyu Zeng

In this study, we investigate the expressive power of deep rectified quadratic unit (ReQU) neural networks for approximating the solution maps of parametric PDEs.

VLAD-VSA: Cross-Domain Face Presentation Attack Detection with Vocabulary Separation and Adaptation

1 code implementation21 Feb 2022 Jiong Wang, Zhou Zhao, Weike Jin, Xinyu Duan, Zhen Lei, Baoxing Huai, Yiling Wu, Xiaofei He

In this paper, the VLAD aggregation method is adopted to quantize local features with visual vocabulary locally partitioning the feature space, and hence preserve the local discriminability.

Face Presentation Attack Detection

Multi-initialization Optimization Network for Accurate 3D Human Pose and Shape Estimation

no code implementations24 Dec 2021 Zhiwei Liu, Xiangyu Zhu, Lu Yang, Xiang Yan, Ming Tang, Zhen Lei, Guibo Zhu, Xuetao Feng, Yan Wang, Jinqiao Wang

In the second stage, we design a mesh refinement transformer (MRT) to respectively refine each coarse reconstruction result via a self-attention mechanism.

Ranked #26 on 3D Human Pose Estimation on 3DPW (MPJPE metric)

3D human pose and shape estimation 3D Reconstruction

Decoupling and Recoupling Spatiotemporal Representation for RGB-D-based Motion Recognition

1 code implementation CVPR 2022 Benjia Zhou, Pichao Wang, Jun Wan, Yanyan Liang, Fan Wang, Du Zhang, Zhen Lei, Hao Li, Rong Jin

Decoupling spatiotemporal representation refers to decomposing the spatial and temporal features into dimension-independent factors.

Meta-Teacher For Face Anti-Spoofing

no code implementations12 Nov 2021 Yunxiao Qin, Zitong Yu, Longbin Yan, Zezheng Wang, Chenxu Zhao, Zhen Lei

The meta-teacher is trained in a bi-level optimization manner to learn the ability to supervise the PA detectors learning rich spoofing cues.

Face Anti-Spoofing Face Recognition

LAE : Long-tailed Age Estimation

no code implementations25 Oct 2021 Zenghao Bao, Zichang Tan, Yu Zhu, Jun Wan, Xibo Ma, Zhen Lei, Guodong Guo

To improve the performance of facial age estimation, we first formulate a simple standard baseline and build a much strong one by collecting the tricks in pre-training, data augmentation, model architecture, and so on.

Age Estimation Data Augmentation +1


no code implementations ICLR 2022 Qu Tang, Xiangyu Zhu, Zhen Lei, Zhaoxiang Zhang

In this paper, we work on object dynamics and propose Object Dynamics Distillation Network (ODDN), a framework that distillates explicit object dynamics (e. g., velocity) from sequential static representations.

Predict Future Video Frames Video Understanding

PoseFace: Pose-Invariant Features and Pose-Adaptive Loss for Face Recognition

no code implementations25 Jul 2021 Qiang Meng, Xiaqing Xu, Xiaobo Wang, Yang Qian, Yunxiao Qin, Zezheng Wang, Chenxu Zhao, Feng Zhou, Zhen Lei

Despite the great success achieved by deep learning methods in face recognition, severe performance drops are observed for large pose variations in unconstrained environments (e. g., in cases of surveillance and photo-tagging).

Face Recognition

Deep Learning for Face Anti-Spoofing: A Survey

2 code implementations28 Jun 2021 Zitong Yu, Yunxiao Qin, Xiaobai Li, Chenxu Zhao, Zhen Lei, Guoying Zhao

Face anti-spoofing (FAS) has lately attracted increasing attention due to its vital role in securing face recognition systems from presentation attacks (PAs).

Domain Generalization Face Anti-Spoofing +1

Represent Items by Items: An Enhanced Representation of the Target Item for Recommendation

no code implementations26 Apr 2021 Yinjiang Cai, Zeyu Cui, Shu Wu, Zhen Lei, Xibo Ma

Our proposed Co-occurrence based Enhanced Representation model (CER) learns the scoring function by a deep neural network with the attentive user representation and fusion of raw representation and enhanced representation of target item as input.

Collaborative Filtering Recommendation Systems

Searching for Alignment in Face Recognition

no code implementations10 Feb 2021 Xiaqing Xu, Qiang Meng, Yunxiao Qin, Jianzhu Guo, Chenxu Zhao, Feng Zhou, Zhen Lei

A standard pipeline of current face recognition frameworks consists of four individual steps: locating a face with a rough bounding box and several fiducial landmarks, aligning the face image using a pre-defined template, extracting representations and comparing.

Face Alignment Face Detection +2

Face Forgery Detection by 3D Decomposition

no code implementations CVPR 2021 Xiangyu Zhu, Hao Wang, Hongyan Fei, Zhen Lei, Stan Z. Li

Detecting digital face manipulation has attracted extensive attention due to fake media's potential harms to the public.

Towards Fast, Accurate and Stable 3D Dense Face Alignment

3 code implementations ECCV 2020 Jianzhu Guo, Xiangyu Zhu, Yang Yang, Fan Yang, Zhen Lei, Stan Z. Li

Firstly, on the basis of a lightweight backbone, we propose a meta-joint optimization strategy to dynamically regress a small set of 3DMM parameters, which greatly enhances speed and accuracy simultaneously.

 Ranked #1 on 3D Face Reconstruction on Florence (Mean NME metric)

3D Face Modelling 3D Face Reconstruction +2

SADet: Learning An Efficient and Accurate Pedestrian Detector

no code implementations26 Jul 2020 Chubin Zhuang, Zhen Lei, Stan Z. Li

Although the anchor-based detectors have taken a big step forward in pedestrian detection, the overall performance of algorithm still needs further improvement for practical applications, \emph{e. g.}, a good trade-off between the accuracy and efficiency.

Human Detection Pedestrian Detection +2

NPCFace: Negative-Positive Collaborative Training for Large-scale Face Recognition

no code implementations20 Jul 2020 Dan Zeng, Hailin Shi, Hang Du, Jun Wang, Zhen Lei, Tao Mei

However, the correlation between hard positive and hard negative is overlooked, and so is the relation between the margins in positive and negative logits.

Face Recognition

Semi-Siamese Training for Shallow Face Learning

2 code implementations ECCV 2020 Hang Du, Hailin Shi, Yuchi Liu, Jun Wang, Zhen Lei, Dan Zeng, Tao Mei

Extensive experiments on various benchmarks of face recognition show the proposed method significantly improves the training, not only in shallow face learning, but also for conventional deep face data.

Face Recognition

Multi-Modal Face Anti-Spoofing Based on Central Difference Networks

1 code implementation17 Apr 2020 Zitong Yu, Yunxiao Qin, Xiaobai Li, Zezheng Wang, Chenxu Zhao, Zhen Lei, Guoying Zhao

Face anti-spoofing (FAS) plays a vital role in securing face recognition systems from presentation attacks.

Face Anti-Spoofing Face Recognition

Domain Balancing: Face Recognition on Long-Tailed Domains

no code implementations CVPR 2020 Dong Cao, Xiangyu Zhu, Xingyu Huang, Jianzhu Guo, Zhen Lei

Finally, we propose a Domain Balancing Margin (DBM) in the loss function to further optimize the feature space of the tail domains to improve generalization.

Face Recognition

Learning Meta Face Recognition in Unseen Domains

1 code implementation CVPR 2020 Jianzhu Guo, Xiangyu Zhu, Chenxu Zhao, Dong Cao, Zhen Lei, Stan Z. Li

Face recognition systems are usually faced with unseen domains in real-world applications and show unsatisfactory performance due to their poor generalization.

Face Recognition Meta-Learning

LAMP-HQ: A Large-Scale Multi-Pose High-Quality Database and Benchmark for NIR-VIS Face Recognition

no code implementations17 Dec 2019 Aijing Yu, Haoxue Wu, Huaibo Huang, Zhen Lei, Ran He

A spectral conditional attention module is introduced to reduce the domain gap between NIR and VIS data and then improve the performance of NIR-VIS heterogeneous face recognition on various databases including the LAMP-HQ.

Face Recognition Heterogeneous Face Recognition

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection

10 code implementations CVPR 2020 Shifeng Zhang, Cheng Chi, Yongqiang Yao, Zhen Lei, Stan Z. Li

In this paper, we first point out that the essential difference between anchor-based and anchor-free detection is actually how to define positive and negative training samples, which leads to the performance gap between them.

object-detection Object Detection

Relational Learning for Joint Head and Human Detection

no code implementations24 Sep 2019 Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou

Head and human detection have been rapidly improved with the development of deep convolutional neural networks.

Head Detection Human Detection +1

PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes

no code implementations15 Sep 2019 Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou

Pedestrian detection in crowded scenes is a challenging problem, because occlusion happens frequently among different pedestrians.

Data Augmentation Occlusion Handling +2

RefineFace: Refinement Neural Network for High Performance Face Detection

no code implementations10 Sep 2019 Shifeng Zhang, Cheng Chi, Zhen Lei, Stan Z. Li

To improve the classification ability for high recall efficiency, STC first filters out most simple negatives from low level detection layers to reduce search space for subsequent classifier, then SML is applied to better distinguish faces from background at various scales and FSM is introduced to let the backbone learn more discriminative features for classification.

Classification Face Detection +2

Domain Adaptive Person Re-Identification via Camera Style Generation and Label Propagation

no code implementations14 May 2019 Chuan-Xian Ren, Bo-Hua Liang, Zhen Lei

We derive a camera style adaptation framework to learn the style-based mappings between different camera views, from the target domain to the source domain, and then we can transfer the identity-based distribution from the source domain to the target domain on the camera level.

Domain Adaptive Person Re-Identification Person Re-Identification +1

Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection

no code implementations ICCV 2019 Lu Zhang, Xiangyu Zhu, Xiangyu Chen, Xu Yang, Zhen Lei, Zhi-Yong Liu

In this paper, we propose a novel Aligned Region CNN (AR-CNN) to handle the weakly aligned multispectral data in an end-to-end way.

Improving Face Anti-Spoofing by 3D Virtual Synthesis

no code implementations2 Jan 2019 Jianzhu Guo, Xiangyu Zhu, Jinchuan Xiao, Zhen Lei, Genxun Wan, Stan Z. Li

Specifically, we consider a printed photo as a flat surface and mesh it into a 3D object, which is then randomly bent and rotated in 3D space.

Face Anti-Spoofing Face Recognition

Prior-Knowledge and Attention-based Meta-Learning for Few-Shot Learning

no code implementations11 Dec 2018 Yunxiao Qin, WeiGuo Zhang, Chenxu Zhao, Zezheng Wang, Xiangyu Zhu, Guo-Jun Qi, Jingping Shi, Zhen Lei

In this paper, inspired by the human cognition process which utilizes both prior-knowledge and vision attention in learning new knowledge, we present a novel paradigm of meta-learning approach with three developments to introduce attention mechanism and prior-knowledge for meta-learning.

Few-Shot Learning

Representation based and Attention augmented Meta learning

no code implementations19 Nov 2018 Yunxiao Qin, Chenxu Zhao, Zezheng Wang, Junliang Xing, Jun Wan, Zhen Lei

The method RAML aims to give the Meta learner the ability of leveraging the past learned knowledge to reduce the dimension of the original input data by expressing it into high representations, and help the Meta learner to perform well.

Few-Shot Learning

Vehicle Re-identification Using Quadruple Directional Deep Learning Features

no code implementations13 Nov 2018 Jianqing Zhu, Huanqiang Zeng, Jingchang Huang, Shengcai Liao, Zhen Lei, Canhui Cai, Lixin Zheng

Specifically, the same basic deep learning architecture is a shortly and densely connected convolutional neural network to extract basic feature maps of an input square vehicle image in the first stage.

Vehicle Re-Identification

Selective Refinement Network for High Performance Face Detection

3 code implementations7 Sep 2018 Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou

In particular, the SRN consists of two modules: the Selective Two-step Classification (STC) module and the Selective Two-step Regression (STR) module.

Face Detection General Classification +1

Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd

no code implementations ECCV 2018 Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, Stan Z. Li

Pedestrian detection in crowded scenes is a challenging problem since the pedestrians often gather together and occlude each other.

Ranked #8 on Pedestrian Detection on Caltech (using extra training data)

Pedestrian Detection

Large-scale Bisample Learning on ID Versus Spot Face Recognition

no code implementations8 Jun 2018 Xiangyu Zhu, Hao liu, Zhen Lei, Hailin Shi, Fan Yang, Dong Yi, Guo-Jun Qi, Stan Z. Li

In this paper, we propose a deep learning based large-scale bisample learning (LBL) method for IvS face recognition.

Face Recognition General Classification

Face Synthesis for Eyeglass-Robust Face Recognition

1 code implementation4 Jun 2018 Jianzhu Guo, Xiangyu Zhu, Zhen Lei, Stan Z. Li

A feasible method is to collect large-scale face images with eyeglasses for training deep learning methods.

Face Generation Face Model +2

Face Alignment in Full Pose Range: A 3D Total Solution

2 code implementations2 Apr 2018 Xiangyu Zhu, Xiaoming Liu, Zhen Lei, Stan Z. Li

In this paper, we propose to tackle these three challenges in an new alignment framework termed 3D Dense Face Alignment (3DDFA), in which a dense 3D Morphable Model (3DMM) is fitted to the image via Cascaded Convolutional Neural Networks.

3D Pose Estimation Depth Image Estimation +3

Single-Shot Refinement Neural Network for Object Detection

10 code implementations CVPR 2018 Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, Stan Z. Li

For object detection, the two-stage approach (e. g., Faster R-CNN) has been achieving the highest accuracy, whereas the one-stage approach (e. g., SSD) has the advantage of high efficiency.

object-detection Object Detection

S3FD: Single Shot Scale-Invariant Face Detector

no code implementations ICCV 2017 Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, Stan Z. Li

This paper presents a real-time face detector, named Single Shot Scale-invariant Face Detector (S3FD), which performs superiorly on various scales of faces with a single deep neural network, especially for small faces.

Face Detection

FaceBoxes: A CPU Real-time Face Detector with High Accuracy

7 code implementations17 Aug 2017 Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, Stan Z. Li

The MSCL aims at enriching the receptive fields and discretizing anchors over different layers to handle faces of various scales.

Face Detection

S$^3$FD: Single Shot Scale-invariant Face Detector

3 code implementations17 Aug 2017 Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, Stan Z. Li

This paper presents a real-time face detector, named Single Shot Scale-invariant Face Detector (S$^3$FD), which performs superiorly on various scales of faces with a single deep neural network, especially for small faces.

Face Detection

Learning Efficient Image Representation for Person Re-Identification

no code implementations7 Jul 2017 Yang Yang, Shengcai Liao, Zhen Lei, Stan Z. Li

Then, a robust image representation based on color names is obtained by concatenating the statistical descriptors in each stripe.

Person Re-Identification

Deep Hybrid Similarity Learning for Person Re-identification

no code implementations16 Feb 2017 Jianqing Zhu, Huanqiang Zeng, Shengcai Liao, Zhen Lei, Canhui Cai, Lixin Zheng

In this paper, a deep hybrid similarity learning (DHSL) method for person Re-ID based on a convolution neural network (CNN) is proposed.

Metric Learning Person Re-Identification

Embedding Deep Metric for Person Re-identication A Study Against Large Variations

no code implementations1 Nov 2016 Hailin Shi, Yang Yang, Xiangyu Zhu, Shengcai Liao, Zhen Lei, Wei-Shi Zheng, Stan Z. Li

From this point of view, selecting suitable positive i. e. intra-class) training samples within a local range is critical for training the CNN embedding, especially when the data has large intra-class variations.

Person Re-Identification

CRAFT Objects from Images

1 code implementation CVPR 2016 Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li

They decompose the object detection problem into two cascaded easier tasks: 1) generating object proposals from images, 2) classifying proposals into various object categories.

object-detection Object Detection +1

Constrained Deep Metric Learning for Person Re-identification

no code implementations24 Nov 2015 Hailin Shi, Xiangyu Zhu, Shengcai Liao, Zhen Lei, Yang Yang, Stan Z. Li

In this paper, we propose a novel CNN-based method to learn a discriminative metric with good robustness to the over-fitting problem in person re-identification.

Metric Learning Person Re-Identification

Face Alignment Across Large Poses: A 3D Solution

no code implementations CVPR 2016 Xiangyu Zhu, Zhen Lei, Xiaoming Liu, Hailin Shi, Stan Z. Li

Face alignment, which fits a face model to an image and extracts the semantic meanings of facial pixels, has been an important topic in CV community.

3D Face Reconstruction Face Alignment +2

UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking

no code implementations13 Nov 2015 Longyin Wen, Dawei Du, Zhaowei Cai, Zhen Lei, Ming-Ching Chang, Honggang Qi, Jongwoo Lim, Ming-Hsuan Yang, Siwei Lyu

In this work, we perform a comprehensive quantitative study on the effects of object detection accuracy to the overall MOT performance, using the new large-scale University at Albany DETection and tRACking (UA-DETRAC) benchmark dataset.

Multi-Object Tracking object-detection +1

JOTS: Joint Online Tracking and Segmentation

no code implementations CVPR 2015 Longyin Wen, Dawei Du, Zhen Lei, Stan Z. Li, Ming-Hsuan Yang

We present a novel Joint Online Tracking and Segmentation (JOTS) algorithm which integrates the multi-part tracking and segmentation into a unified energy optimization framework to handle the video segmentation task.

Video Segmentation Video Semantic Segmentation

High-Fidelity Pose and Expression Normalization for Face Recognition in the Wild

no code implementations CVPR 2015 Xiangyu Zhu, Zhen Lei, Junjie Yan, Dong Yi, Stan Z. Li

Pose and expression normalization is a crucial step to recover the canonical view of faces under arbitrary conditions, so as to improve the face recognition performance.

Face Recognition

Convolutional Channel Features

1 code implementation ICCV 2015 Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li

With the combination of CNN features and boosting forest, CCF benefits from the richer capacity in feature representation compared with channel features, as well as lower cost in computation and storage compared with end-to-end CNN methods.

Edge Detection Face Detection +2

Learning Face Representation from Scratch

13 code implementations28 Nov 2014 Dong Yi, Zhen Lei, Shengcai Liao, Stan Z. Li

The current situation in the field of face recognition is that data is more important than algorithm.

Face Recognition

Learn Convolutional Neural Network for Face Anti-Spoofing

2 code implementations24 Aug 2014 Jianwei Yang, Zhen Lei, Stan Z. Li

Moreover, the nets trained using combined data from two datasets have less biases between two datasets.

Face Anti-Spoofing

Deep Metric Learning for Practical Person Re-Identification

no code implementations18 Jul 2014 Dong Yi, Zhen Lei, Stan Z. Li

Compared to existing researches, a more practical setting is studied in the experiments that is training and test on different datasets (cross dataset person re-identification).

Metric Learning Person Re-Identification

Aggregate channel features for multi-view face detection

no code implementations15 Jul 2014 Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li

Face detection has drawn much attention in recent decades since the seminal work by Viola and Jones.

Face Detection Re-Ranking

Shared Representation Learning for Heterogeneous Face Recognition

no code implementations5 Jun 2014 Dong Yi, Zhen Lei, Shengcai Liao, Stan Z. Li

For NIR-VIS problem, we produce new state-of-the-art performance on the CASIA HFB and NIR-VIS 2. 0 databases.

Face Recognition Heterogeneous Face Recognition +1

The Fastest Deformable Part Model for Object Detection

no code implementations CVPR 2014 Junjie Yan, Zhen Lei, Longyin Wen, Stan Z. Li

Three prohibitive steps in cascade version of DPM are accelerated, including 2D correlation between root filter and feature map, cascade part pruning and HOG feature extraction.

Face Detection object-detection +1

Robust Multi-resolution Pedestrian Detection in Traffic Scenes

no code implementations CVPR 2013 Junjie Yan, Xucong Zhang, Zhen Lei, Shengcai Liao, Stan Z. Li

The model contains resolution aware transformations to map pedestrians in different resolutions to a common space, where a shared detector is constructed to distinguish pedestrians from background.

Pedestrian Detection

Towards Pose Robust Face Recognition

no code implementations CVPR 2013 Dong Yi, Zhen Lei, Stan Z. Li

In this paper, we propose a novel method for pose robust face recognition towards practical applications, which is fast, pose robust and can work well under unconstrained environments.

Face Recognition Robust Face Recognition

Fast Matching by 2 Lines of Code for Large Scale Face Recognition Systems

no code implementations28 Feb 2013 Dong Yi, Zhen Lei, Yang Hu, Stan Z. Li

However, the use of this method is very generic and not limited in face recognition, which can be easily generalized to other biometrics as a post-processing module.

Face Recognition

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