Search Results for author: Ran He

Found 93 papers, 19 papers with code

Hierarchical Face Aging through Disentangled Latent Characteristics

no code implementations ECCV 2020 Pei-Pei Li, Huaibo Huang, Yibo Hu, Xiang Wu, Ran He, Zhenan Sun

To explore the age effects on facial images, we propose a Disentangled Adversarial Autoencoder (DAAE) to disentangle the facial images into three independent factors: age, identity and extraneous information.

Age Estimation

Finding Diverse and Predictable Subgraphs for Graph Domain Generalization

no code implementations19 Jun 2022 Junchi Yu, Jian Liang, Ran He

Extensive experiments on both node-level and graph-level benchmarks shows that the proposed DPS achieves impressive performance for various graph domain generalization tasks.

Domain Generalization Out-of-Distribution Generalization

ProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free Domain Adaptation

1 code implementation29 May 2022 Yuhe Ding, Lijun Sheng, Jian Liang, Aihua Zheng, Ran He

First of all, to avoid additional parameters and explore the information in the source model, ProxyMix defines the weights of the classifier as the class prototypes and then constructs a class-balanced proxy source domain by the nearest neighbors of the prototypes to bridge the unseen source domain and the target domain.

Object Recognition Unsupervised Domain Adaptation

Styleverse: Towards Identity Stylization across Heterogeneous Domains

no code implementations2 Mar 2022 Jia Li, Jie Cao, Junxian Duan, Ran He

We propose a new challenging task namely IDentity Stylization (IDS) across heterogeneous domains.

Style Transfer

Few-shot Backdoor Defense Using Shapley Estimation

no code implementations CVPR 2022 Jiyang Guan, Zhuozhuo Tu, Ran He, DaCheng Tao

Deep neural networks have achieved impressive performance in a variety of tasks over the last decade, such as autonomous driving, face recognition, and medical diagnosis.

Autonomous Driving Face Recognition +1

Improving Subgraph Recognition with Variational Graph Information Bottleneck

1 code implementation CVPR 2022 Junchi Yu, Jie Cao, Ran He

Subgraph recognition aims at discovering a compressed substructure of a graph that is most informative to the graph property.

Graph Classification

Towards the Explanation of Graph Neural Networks in Digital Pathology with Information Flows

no code implementations18 Dec 2021 Junchi Yu, Tingyang Xu, Ran He

In this work, we address these key challenges and propose IFEXPLAINER, which generates a necessary and sufficient explanation for GNNs.

UMAD: Universal Model Adaptation under Domain and Category Shift

no code implementations16 Dec 2021 Jian Liang, Dapeng Hu, Jiashi Feng, Ran He

To achieve bilateral adaptation in the target domain, we further maximize localized mutual information to align known samples with the source classifier and employ an entropic loss to push unknown samples far away from the source classification boundary, respectively.

Unsupervised Domain Adaptation

Toward Accurate and Reliable Iris Segmentation Using Uncertainty Learning

no code implementations20 Oct 2021 Jianze Wei, Huaibo Huang, Muyi Sun, Yunlong Wang, Min Ren, Ran He, Zhenan Sun

To make further efforts on accurate and reliable iris segmentation, we propose a bilateral self-attention module and design Bilateral Transformer (BiTrans) with hierarchical architecture by exploring spatial and visual relationships.

Iris Recognition Iris Segmentation

Causal Representation Learning for Context-Aware Face Transfer

no code implementations4 Oct 2021 Gege Gao, Huaibo Huang, Chaoyou Fu, Ran He

Human face synthesis involves transferring knowledge about the identity and identity-dependent face shape (IDFS) of a human face to target face images where the context (e. g., facial expressions, head poses, and other background factors) may change dramatically.

Counterfactual Inference Face Generation +2

Universal Face Restoration With Memorized Modulation

no code implementations3 Oct 2021 Jia Li, Huaibo Huang, Xiaofei Jia, Ran He

Blind face restoration (BFR) is a challenging problem because of the uncertainty of the degradation patterns.

Blind Face Restoration

Memory Oriented Transfer Learning for Semi-Supervised Image Deraining

no code implementations CVPR 2021 Huaibo Huang, Aijing Yu, Ran He

To address this issue, we propose a memory-oriented semi-supervised (MOSS) method which enables the network to explore and exploit the properties of rain streaks from both synthetic and real data.

Rain Removal Transfer Learning

Pareidolia Face Reenactment

no code implementations CVPR 2021 Linsen Song, Wayne Wu, Chaoyou Fu, Chen Qian, Chen Change Loy, Ran He

We present a new application direction named Pareidolia Face Reenactment, which is defined as animating a static illusory face to move in tandem with a human face in the video.

Face Reenactment Texture Synthesis

Information Bottleneck Disentanglement for Identity Swapping

no code implementations CVPR 2021 Gege Gao, Huaibo Huang, Chaoyou Fu, Zhaoyang Li, Ran He

In this work, we propose a novel information disentangling and swapping network, called InfoSwap, to extract the most expressive information for identity representation from a pre-trained face recognition model.

Disentanglement Face Recognition

FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains

no code implementations CVPR 2021 Jia Li, Zhaoyang Li, Jie Cao, Xingguang Song, Ran He

In this work, we propose a novel two-stage framework named FaceInpainter to implement controllable Identity-Guided Face Inpainting (IGFI) under heterogeneous domains.

Facial Inpainting

PSGAN++: Robust Detail-Preserving Makeup Transfer and Removal

1 code implementation26 May 2021 Si Liu, Wentao Jiang, Chen Gao, Ran He, Jiashi Feng, Bo Li, Shuicheng Yan

In this paper, we address the makeup transfer and removal tasks simultaneously, which aim to transfer the makeup from a reference image to a source image and remove the makeup from the with-makeup image respectively.

Style Transfer

Everything's Talkin': Pareidolia Face Reenactment

1 code implementation7 Apr 2021 Linsen Song, Wayne Wu, Chaoyou Fu, Chen Qian, Chen Change Loy, Ran He

We present a new application direction named Pareidolia Face Reenactment, which is defined as animating a static illusory face to move in tandem with a human face in the video.

Face Reenactment Texture Synthesis

DINE: Domain Adaptation from Single and Multiple Black-box Predictors

3 code implementations CVPR 2022 Jian Liang, Dapeng Hu, Jiashi Feng, Ran He

To ease the burden of labeling, unsupervised domain adaptation (UDA) aims to transfer knowledge in previous and related labeled datasets (sources) to a new unlabeled dataset (target).

Unsupervised Domain Adaptation

ReMix: Towards Image-to-Image Translation with Limited Data

1 code implementation CVPR 2021 Jie Cao, Luanxuan Hou, Ming-Hsuan Yang, Ran He, Zhenan Sun

We interpolate training samples at the feature level and propose a novel content loss based on the perceptual relations among samples.

Data Augmentation Image-to-Image Translation +1

CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification

1 code implementation ICCV 2021 Chaoyou Fu, Yibo Hu, Xiang Wu, Hailin Shi, Tao Mei, Ran He

Visible-Infrared person re-identification (VI-ReID) aims to match cross-modality pedestrian images, breaking through the limitation of single-modality person ReID in dark environment.

Neural Architecture Search Person Re-Identification

Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer

1 code implementation14 Dec 2020 Jian Liang, Dapeng Hu, Yunbo Wang, Ran He, Jiashi Feng

Furthermore, we propose a new labeling transfer strategy, which separates the target data into two splits based on the confidence of predictions (labeling information), and then employ semi-supervised learning to improve the accuracy of less-confident predictions in the target domain.

Classification General Classification +3

Unsupervised Contrastive Photo-to-Caricature Translation based on Auto-distortion

no code implementations10 Nov 2020 Yuhe Ding, Xin Ma, Mandi Luo, Aihua Zheng, Ran He

Considering the intuitive artifacts in the existing methods, we propose a contrastive style loss for style rendering to enforce the similarity between the style of rendered photo and the caricature, and simultaneously enhance its discrepancy to the photos.

Caricature Photo-To-Caricature Translation +1

Lets Play Music: Audio-driven Performance Video Generation

no code implementations5 Nov 2020 Hao Zhu, Yi Li, Feixia Zhu, Aihua Zheng, Ran He

We propose a new task named Audio-driven Per-formance Video Generation (APVG), which aims to synthesizethe video of a person playing a certain instrument guided bya given music audio clip.

Video Generation

AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection

no code implementations NeurIPS 2020 Hao Zhu, Chaoyou Fu, Qianyi Wu, Wayne Wu, Chen Qian, Ran He

However, due to the lack of Deepfakes datasets with large variance in appearance, which can be hardly produced by recent identity swapping methods, the detection algorithm may fail in this situation.

Free-Form Image Inpainting via Contrastive Attention Network

no code implementations29 Oct 2020 Xin Ma, Xiaoqiang Zhou, Huaibo Huang, Zhenhua Chai, Xiaolin Wei, Ran He

It is difficult for encoders to capture such powerful representations under this complex situation.

Image Inpainting

Graph Information Bottleneck for Subgraph Recognition

1 code implementation ICLR 2021 Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He

In this paper, we propose a framework of Graph Information Bottleneck (GIB) for the subgraph recognition problem in deep graph learning.

Denoising Graph Classification +1

DVG-Face: Dual Variational Generation for Heterogeneous Face Recognition

1 code implementation20 Sep 2020 Chaoyou Fu, Xiang Wu, Yibo Hu, Huaibo Huang, Ran He

As a consequence, massive new diverse paired heterogeneous images with the same identity can be generated from noises.

Contrastive Learning Face Recognition +1

Deep Momentum Uncertainty Hashing

no code implementations17 Sep 2020 Chaoyou Fu, Guoli Wang, Xiang Wu, Qian Zhang, Ran He

It embodies the uncertainty of the hashing network to the corresponding input image.

Combinatorial Optimization

TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search

1 code implementation ECCV 2020 Yibo Hu, Xiang Wu, Ran He

In this paper, we rethink three freedoms of differentiable NAS, i. e. operation-level, depth-level and width-level, and propose a novel method, named Three-Freedom NAS (TF-NAS), to achieve both good classification accuracy and precise latency constraint.

Neural Architecture Search

Recapture as You Want

no code implementations2 Jun 2020 Chen Gao, Si Liu, Ran He, Shuicheng Yan, Bo Li

LGR module utilizes body skeleton knowledge to construct a layout graph that connects all relevant part features, where graph reasoning mechanism is used to propagate information among part nodes to mine their relations.

Cosmetic-Aware Makeup Cleanser

no code implementations20 Apr 2020 Yi Li, Huaibo Huang, Junchi Yu, Ran He, Tieniu Tan

Face verification aims at determining whether a pair of face images belongs to the same identity.

Face Parsing Face Verification +1

Augmented Parallel-Pyramid Net for Attention Guided Pose-Estimation

no code implementations17 Mar 2020 Luanxuan Hou, Jie Cao, Yuan Zhao, Haifeng Shen, Yiping Meng, Ran He, Jieping Ye

At last, we proposed a differentiable auto data augmentation method to further improve estimation accuracy.

Data Augmentation Pose Estimation

Everybody's Talkin': Let Me Talk as You Want

no code implementations15 Jan 2020 Linsen Song, Wayne Wu, Chen Qian, Ran He, Chen Change Loy

The audio-translated expression parameters are then used to synthesize a photo-realistic human subject in each video frame, with the movement of the mouth regions precisely mapped to the source audio.

3D Face Reconstruction

Deep Audio-Visual Learning: A Survey

no code implementations14 Jan 2020 Hao Zhu, Mandi Luo, Rui Wang, Aihua Zheng, Ran He

Audio-visual learning, aimed at exploiting the relationship between audio and visual modalities, has drawn considerable attention since deep learning started to be used successfully.

audio-visual learning Representation Learning

Informative Sample Mining Network for Multi-Domain Image-to-Image Translation

no code implementations ECCV 2020 Jie Cao, Huaibo Huang, Yi Li, Ran He, Zhenan Sun

The performance of multi-domain image-to-image translation has been significantly improved by recent progress in deep generative models.

Image-to-Image Translation Informativeness +1

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.

Benchmark Computer Vision +2

Dual Variational Generation for Low Shot Heterogeneous Face Recognition

no code implementations NeurIPS 2019 Chaoyou Fu, Xiang Wu, Yibo Hu, Huaibo Huang, Ran He

Specifically, we first introduce a dual variational autoencoder to represent a joint distribution of paired heterogeneous images.

Face Recognition Heterogeneous Face Recognition

PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer

1 code implementation CVPR 2020 Wentao Jiang, Si Liu, Chen Gao, Jie Cao, Ran He, Jiashi Feng, Shuicheng Yan

In this paper, we address the makeup transfer task, which aims to transfer the makeup from a reference image to a source image.

Augmented Data Science: Towards Industrialization and Democratization of Data Science

no code implementations12 Sep 2019 Huseyin Uzunalioglu, Jin Cao, Chitra Phadke, Gerald Lehmann, Ahmet Akyamac, Ran He, Jeongran Lee, Maria Able

Conversion of raw data into insights and knowledge requires substantial amounts of effort from data scientists.

Cross-Spectral Face Hallucination via Disentangling Independent Factors

no code implementations CVPR 2020 Boyan Duan, Chaoyou Fu, Yi Li, Xingguang Song, Ran He

The cross-sensor gap is one of the challenges that have aroused much research interests in Heterogeneous Face Recognition (HFR).

Face Alignment Face Hallucination +2

Make a Face: Towards Arbitrary High Fidelity Face Manipulation

no code implementations ICCV 2019 Shengju Qian, Kwan-Yee Lin, Wayne Wu, Yangxiaokang Liu, Quan Wang, Fumin Shen, Chen Qian, Ran He

Recent studies have shown remarkable success in face manipulation task with the advance of GANs and VAEs paradigms, but the outputs are sometimes limited to low-resolution and lack of diversity.

Disentanglement

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs

no code implementations4 Aug 2019 Gengyun Jia, Pei-Pei Li, Ran He

RoM pooling pools image features and discards extra padded features to eliminate the side effects of padding.

Attributes Guided Feature Learning for Vehicle Re-identification

no code implementations22 May 2019 Hongchao Li, Xianmin Lin, Aihua Zheng, Chenglong Li, Bin Luo, Ran He, Amir Hussain

In particular, our network is end-to-end trained and contains three subnetworks of deep features embedded by the corresponding attributes (i. e., camera view, vehicle type and vehicle color).

Vehicle Re-Identification

Biphasic Learning of GANs for High-Resolution Image-to-Image Translation

no code implementations14 Apr 2019 Jie Cao, Huaibo Huang, Yi Li, Jingtuo Liu, Ran He, Zhenan Sun

In this work, we present a novel training framework for GANs, namely biphasic learning, to achieve image-to-image translation in multiple visual domains at $1024^2$ resolution.

Image-to-Image Translation Mutual Information Estimation +1

PyramidBox++: High Performance Detector for Finding Tiny Face

no code implementations31 Mar 2019 Zhihang Li, Xu Tang, Junyu Han, Jingtuo Liu, Ran He

With the rapid development of deep convolutional neural network, face detection has made great progress in recent years.

Benchmark Data Augmentation +1

M2FPA: A Multi-Yaw Multi-Pitch High-Quality Database and Benchmark for Facial Pose Analysis

no code implementations30 Mar 2019 Pei-Pei Li, Xiang Wu, Yibo Hu, Ran He, Zhenan Sun

In this paper, a new large-scale Multi-yaw Multi-pitch high-quality database is proposed for Facial Pose Analysis (M2FPA), including face frontalization, face rotation, facial pose estimation and pose-invariant face recognition.

Benchmark Face Generation +3

UVA: A Universal Variational Framework for Continuous Age Analysis

no code implementations30 Mar 2019 Pei-Pei Li, Huaibo Huang, Yibo Hu, Xiang Wu, Ran He, Zhenan Sun

UVA is the first attempt to achieve facial age analysis tasks, including age translation, age generation and age estimation, in a universal framework.

Age Estimation Translation

High Fidelity Face Manipulation with Extreme Poses and Expressions

no code implementations28 Mar 2019 Chaoyou Fu, Yibo Hu, Xiang Wu, Guoli Wang, Qian Zhang, Ran He

Furthermore, due to the lack of high-resolution face manipulation databases to verify the effectiveness of our method, we collect a new high-quality Multi-View Face (MVF-HQ) database.

Face Generation Face Recognition

Dual Variational Generation for Low-Shot Heterogeneous Face Recognition

1 code implementation25 Mar 2019 Chaoyou Fu, Xiang Wu, Yibo Hu, Huaibo Huang, Ran He

Then, in order to ensure the identity consistency of the generated paired heterogeneous images, we impose a distribution alignment in the latent space and a pairwise identity preserving in the image space.

Face Recognition Heterogeneous Face Recognition

Cross-spectral Face Completion for NIR-VIS Heterogeneous Face Recognition

no code implementations10 Feb 2019 Ran He, Jie Cao, Lingxiao Song, Zhenan Sun, Tieniu Tan

This paper models high resolution heterogeneous face synthesis as a complementary combination of two components, a texture inpainting component and pose correction component.

Face Generation Face Recognition +3

Joint Iris Segmentation and Localization Using Deep Multi-task Learning Framework

1 code implementation31 Jan 2019 Caiyong Wang, Yuhao Zhu, Yunfan Liu, Ran He, Zhenan Sun

In this paper, we propose a deep multi-task learning framework, named as IrisParseNet, to exploit the inherent correlations between pupil, iris and sclera to boost up the performance of iris segmentation and localization in a unified model.

Iris Segmentation Multi-Task Learning

A Survey of Deep Facial Attribute Analysis

no code implementations26 Dec 2018 Xin Zheng, Yanqing Guo, Huaibo Huang, Yi Li, Ran He

Deep learning based facial attribute analysis consists of two basic sub-issues: facial attribute estimation (FAE), which recognizes whether facial attributes are present in given images, and facial attribute manipulation (FAM), which synthesizes or removes desired facial attributes.

Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning

no code implementations17 Dec 2018 Hao Zhu, Huaibo Huang, Yi Li, Aihua Zheng, Ran He

Talking face generation aims to synthesize a face video with precise lip synchronization as well as a smooth transition of facial motion over the entire video via the given speech clip and facial image.

Talking Face Generation

A Coupled Evolutionary Network for Age Estimation

no code implementations20 Sep 2018 Pei-Pei Li, Yibo Hu, Ran He, Zhenan Sun

Inspired by the biological evolutionary mechanism, we propose a Coupled Evolutionary Network (CEN) with two concurrent evolutionary processes: evolutionary label distribution learning and evolutionary slack regression.

Age Estimation

Global and Local Consistent Wavelet-domain Age Synthesis

no code implementations20 Sep 2018 Pei-Pei Li, Yibo Hu, Ran He, Zhenan Sun

%Moreover, to achieve accurate age generation under the premise of preserving the identity information, age estimation network and face verification network are employed.

Age Estimation Face Verification

Geometry-Aware Face Completion and Editing

no code implementations9 Sep 2018 Linsen Song, Jie Cao, Linxiao Song, Yibo Hu, Ran He

Extensive experimental results qualitatively and quantitatively demonstrate that our network is able to generate visually pleasing face completion results and edit face attributes as well.

Facial Inpainting

Disentangled Variational Representation for Heterogeneous Face Recognition

no code implementations6 Sep 2018 Xiang Wu, Huaibo Huang, Vishal M. Patel, Ran He, Zhenan Sun

Visible (VIS) to near infrared (NIR) face matching is a challenging problem due to the significant domain discrepancy between the domains and a lack of sufficient data for training cross-modal matching algorithms.

Face Recognition Heterogeneous Face Recognition

IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis

3 code implementations NeurIPS 2018 Huaibo Huang, Zhihang Li, Ran He, Zhenan Sun, Tieniu Tan

On the other hand, the inference model is encouraged to classify between the generated and real samples while the generator tries to fool it as GANs.

Image Generation

Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization

no code implementations NeurIPS 2018 Jie Cao, Yibo Hu, Hongwen Zhang, Ran He, Zhenan Sun

We decompose the prerequisite of warping into dense correspondence field estimation and facial texture map recovering, which are both well addressed by deep networks.

Dictionary Learning Face Recognition +1

Pose-Guided Photorealistic Face Rotation

no code implementations CVPR 2018 Yibo Hu, Xiang Wu, Bing Yu, Ran He, Zhenan Sun

Face rotation provides an effective and cheap way for data augmentation and representation learning of face recognition.

Data Augmentation Face Recognition +1

Load Balanced GANs for Multi-view Face Image Synthesis

no code implementations21 Feb 2018 Jie Cao, Yibo Hu, Bing Yu, Ran He, Zhenan Sun

Multi-view face synthesis from a single image is an ill-posed problem and often suffers from serious appearance distortion.

Face Generation

Global and Local Consistent Age Generative Adversarial Networks

no code implementations25 Jan 2018 Pei-Pei Li, Yibo Hu, Qi Li, Ran He, Zhenan Sun

To utilize both global and local facial information, we propose a Global and Local Consistent Age Generative Adversarial Network (GLCA-GAN).

Learning Disentangling and Fusing Networks for Face Completion Under Structured Occlusions

no code implementations13 Dec 2017 Zhihang Li, Yibo Hu, Ran He

We treat the face completion and corruption as disentangling and fusing processes of clean faces and occlusions, and propose a jointly disentangling and fusing Generative Adversarial Network (DF-GAN).

Facial Inpainting

Geometry Guided Adversarial Facial Expression Synthesis

no code implementations10 Dec 2017 Lingxiao Song, Zhihe Lu, Ran He, Zhenan Sun, Tieniu Tan

An expression invariant face recognition experiment is also performed to further show the advantages of our proposed method.

Face Recognition Face Transfer +1

Adversarial Occlusion-aware Face Detection

1 code implementation15 Sep 2017 Yujia Chen, Lingxiao Song, Ran He

This paper introduces an Adversarial Occlusion-aware Face Detector (AOFD) by simultaneously detecting occluded faces and segmenting occluded areas.

Occluded Face Detection

Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification

no code implementations12 Sep 2017 Yi Li, Lingxiao Song, Xiang Wu, Ran He, Tieniu Tan

This paper proposes a learning from generation approach for makeup-invariant face verification by introducing a bi-level adversarial network (BLAN).

Face Verification

Joint Adaptive Neighbours and Metric Learning for Multi-view Subspace Clustering

no code implementations12 Sep 2017 Nan Xu, Yanqing Guo, Jiujun Wang, Xiangyang Luo, Ran He

In this method, we use the subspace representations of different views to adaptively learn a consensus similarity matrix, uncovering the subspace structure and avoiding noisy nature of original data.

Metric Learning MULTI-VIEW LEARNING +1

Adversarial Discriminative Heterogeneous Face Recognition

no code implementations12 Sep 2017 Lingxiao Song, Man Zhang, Xiang Wu, Ran He

This framework integrates cross-spectral face hallucination and discriminative feature learning into an end-to-end adversarial network.

Face Hallucination Face Recognition +1

Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition

no code implementations8 Aug 2017 Ran He, Xiang Wu, Zhenan Sun, Tieniu Tan

To avoid the over-fitting problem on small-scale heterogeneous face data, a correlation prior is introduced on the fully-connected layers of WCNN network to reduce parameter space.

Face Recognition Heterogeneous Face Recognition

Recent Progress of Face Image Synthesis

no code implementations15 Jun 2017 Zhihe Lu, Zhihang Li, Jie Cao, Ran He, Zhenan Sun

Face synthesis has been a fascinating yet challenging problem in computer vision and machine learning.

Computer Vision Face Generation +1

Deep Supervised Discrete Hashing

no code implementations NeurIPS 2017 Qi Li, Zhenan Sun, Ran He, Tieniu Tan

Benefit from recent advances in deep learning, deep hashing methods have achieved promising results for image retrieval.

General Classification Image Retrieval

Robust Localized Multi-view Subspace Clustering

no code implementations22 May 2017 Yanbo Fan, Jian Liang, Ran He, Bao-Gang Hu, Siwei Lyu

In multi-view clustering, different views may have different confidence levels when learning a consensus representation.

Multi-view Subspace Clustering

Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis

3 code implementations ICCV 2017 Rui Huang, Shu Zhang, Tianyu Li, Ran He

This paper proposes a Two-Pathway Generative Adversarial Network (TP-GAN) for photorealistic frontal view synthesis by simultaneously perceiving global structures and local details.

Face Recognition

Attention-Set based Metric Learning for Video Face Recognition

no code implementations12 Apr 2017 Yibo Hu, Xiang Wu, Ran He

In this paper, we propose a novel Attention-Set based Metric Learning (ASML) method to measure the statistical characteristics of image sets.

Face Recognition Metric Learning

Coupled Deep Learning for Heterogeneous Face Recognition

no code implementations8 Apr 2017 Xiang Wu, Lingxiao Song, Ran He, Tieniu Tan

CDL seeks a shared feature space in which the heterogeneous face matching problem can be approximately treated as a homogeneous face matching problem.

Face Recognition Heterogeneous Face Recognition

DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification

no code implementations16 Nov 2016 Shu Zhang, Ran He, Tieniu Tan

The occlusions incurred by random meshes severely degenerate the performance of face verification systems, which raises the MeshFace verification problem between MeshFace and daily photos.

Face Alignment Face Verification +1

Self-Paced Learning: an Implicit Regularization Perspective

no code implementations1 Jun 2016 Yanbo Fan, Ran He, Jian Liang, Bao-Gang Hu

In this paper, we focus on the minimizer function, and study a group of new regularizer, named self-paced implicit regularizer that is deduced from robust loss function.

Deep Aesthetic Quality Assessment with Semantic Information

no code implementations18 Apr 2016 Yueying Kao, Ran He, Kaiqi Huang

Human beings often assess the aesthetic quality of an image coupled with the identification of the image's semantic content.

Aesthetics Quality Assessment

Locally Imposing Function for Generalized Constraint Neural Networks - A Study on Equality Constraints

no code implementations18 Apr 2016 Linlin Cao, Ran He, Bao-Gang Hu

A new method called locally imposing function (LIF) is proposed to provide a local correction to the GCNN prediction function, which therefore falls within Locally Imposing Scheme (LIS).

A Light CNN for Deep Face Representation with Noisy Labels

7 code implementations9 Nov 2015 Xiang Wu, Ran He, Zhenan Sun, Tieniu Tan

This paper presents a Light CNN framework to learn a compact embedding on the large-scale face data with massive noisy labels.

Face Identification Face Recognition +2

Learning Structured Ordinal Measures for Video based Face Recognition

no code implementations9 Jul 2015 Ran He, Tieniu Tan, Larry Davis, Zhenan Sun

This paper presents a structured ordinal measure method for video-based face recognition that simultaneously learns ordinal filters and structured ordinal features.

Face Recognition

Cross-Modal Learning via Pairwise Constraints

no code implementations28 Nov 2014 Ran He, Man Zhang, Liang Wang, Ye Ji, Qiyue Yin

For unsupervised learning, we propose a cross-modal subspace clustering method to learn a common structure for different modalities.

Information-Theoretic Measures for Objective Evaluation of Classifications

no code implementations10 Jul 2011 Bao-Gang Hu, Ran He, Xiaotong Yuan

This work presents a systematic study of objective evaluations of abstaining classifications using Information-Theoretic Measures (ITMs).

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