Wei-Shi Zheng

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IEEE ∙ SUN YAT-SEN UNIVERSITY

Professor at Sun Yat-sen University

Dual Illumination Estimation for Robust Exposure Correction

Exposure correction is one of the fundamental tasks in image processing ...
10/30/2019 ∙ by Qing Zhang, et al. ∙ 38 ∙ share

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DSRGAN: Explicitly Learning Disentangled Representation of Underlying Structure and Rendering for Image Generation without Tuple Supervision

We focus on explicitly learning disentangled representation for natural ...
09/30/2019 ∙ by Guang-Yuan Hao, et al. ∙ 33 ∙ share

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Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM

Most of current Convolution Neural Network (CNN) based methods for optic...
07/26/2019 ∙ by Shuosen Guan, et al. ∙ 25 ∙ share

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Weakly Supervised Tracklet Person Re-Identification by Deep Feature-wise Mutual Learning

The scalability problem caused by the difficulty in annotating Person Re...
10/31/2019 ∙ by Zhirui Chen, et al. ∙ 20 ∙ share

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Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding

Person re-identification (Re-ID) aims to match identities across non-ove...
01/29/2019 ∙ by Hong-Xing Yu, et al. ∙ 16 ∙ share

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Learning to Detect Important People in Unlabelled Images for Semi-supervised Important People Detection

Important people detection is to automatically detect the individuals wh...
04/16/2020 ∙ by Fa-Ting Hong, et al. ∙ 15 ∙ share

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Enhancing Underexposed Photos using Perceptually Bidirectional Similarity

This paper addresses the problem of enhancing underexposed photos. Exist...
07/25/2019 ∙ by Qing Zhang, et al. ∙ 3 ∙ share

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Person Re-identification by Contour Sketch under Moderate Clothing Change

Person re-identification (re-id), the process of matching pedestrian ima...
02/06/2020 ∙ by Qize Yang, et al. ∙ 3 ∙ share

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Learning a Semantically Discriminative Joint Space for Attribute Based Person Re-identification

Attribute based person re-identification (Re-ID) aims to search persons ...
12/05/2017 ∙ by Zhou Yin, et al. ∙ 0 ∙ share

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One-pass Person Re-identification by Sketch Online Discriminant Analysis

Person re-identification (re-id) is to match people across disjoint came...
11/09/2017 ∙ by Wei-Hong Li, et al. ∙ 0 ∙ share

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PersonRank: Detecting Important People in Images

Always, some individuals in images are more important/attractive than ot...
11/06/2017 ∙ by Wei-Hong Li, et al. ∙ 0 ∙ share

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Latent Embeddings for Collective Activity Recognition

Rather than simply recognizing the action of a person individually, coll...
09/20/2017 ∙ by Yongyi Tang, et al. ∙ 0 ∙ share

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Cross-view Asymmetric Metric Learning for Unsupervised Person Re-identification

While metric learning is important for Person re-identification (RE-ID),...
08/27/2017 ∙ by Hong-Xing Yu, et al. ∙ 0 ∙ share

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Online Hashing

Although hash function learning algorithms have achieved great success i...
04/06/2017 ∙ by Long-Kai Huang, et al. ∙ 0 ∙ share

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Robust Depth-based Person Re-identification

Person re-identification (re-id) aims to match people across non-overlap...
03/28/2017 ∙ by Ancong Wu, et al. ∙ 0 ∙ share

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Person Re-Identification by Camera Correlation Aware Feature Augmentation

The challenge of person re-identification (re-id) is to match individual...
03/26/2017 ∙ by Ying-Cong Chen, et al. ∙ 0 ∙ share

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An Enhanced Deep Feature Representation for Person Re-identification

Feature representation and metric learning are two critical components i...
04/26/2016 ∙ by Shangxuan Wu, et al. ∙ 0 ∙ share

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Human Re-identification by Matching Compositional Template with Cluster Sampling

This paper aims at a newly raising task in visual surveillance: re-ident...
02/01/2015 ∙ by Yuanlu Xu, et al. ∙ 0 ∙ share

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Fully Convolutional Network Ensembles for White Matter Hyperintensities Segmentation in MR Images

White matter hyperintensities (WMH) are commonly found in the brains of ...
02/14/2018 ∙ by Hongwei Li, et al. ∙ 0 ∙ share

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A Coordinate-wise Optimization Algorithm for Sparse Inverse Covariance Selection

Sparse inverse covariance selection is a fundamental problem for analyzi...
11/19/2017 ∙ by Ganzhao Yuan, et al. ∙ 0 ∙ share

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MIXGAN: Learning Concepts from Different Domains for Mixture Generation

In this work, we present an interesting attempt on mixture generation: a...
07/04/2018 ∙ by Guang-Yuan Hao, et al. ∙ 0 ∙ share

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Adversarial Open-World Person Re-Identification

In a typical real-world application of re-id, a watch-list (gallery set)...
07/27/2018 ∙ by Xiang Li, et al. ∙ 0 ∙ share

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Improving Fast Segmentation With Teacher-student Learning

Recently, segmentation neural networks have been significantly improved ...
10/19/2018 ∙ by Jiafeng Xie, et al. ∙ 0 ∙ share

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Group-Attention Single-Shot Detector (GA-SSD): Finding Pulmonary Nodules in Large-Scale CT Images

Early diagnosis of pulmonary nodules (PNs) can improve the survival rate...
12/18/2018 ∙ by Jiechao Ma, et al. ∙ 0 ∙ share

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A Decomposition Algorithm for Sparse Generalized Eigenvalue Problem

Sparse generalized eigenvalue problem arises in a number of standard and...
02/26/2018 ∙ by Ganzhao Yuan, et al. ∙ 0 ∙ share

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Unsupervised Person Re-identification by Soft Multilabel Learning

Although unsupervised person re-identification (RE-ID) has drawn increas...
03/15/2019 ∙ by Hong-Xing Yu, et al. ∙ 0 ∙ share

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Weakly Supervised Person Re-Identification

In the conventional person re-id setting, it is assumed that the labeled...
04/08/2019 ∙ by Jingke Meng, et al. ∙ 0 ∙ share

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Learning to Learn Relation for Important People Detection in Still Images

Humans can easily recognize the importance of people in social event ima...
04/07/2019 ∙ by Wei-Hong Li, et al. ∙ 0 ∙ share

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A Generalized Matrix Splitting Algorithm

Composite function minimization captures a wide spectrum of applications...
06/07/2018 ∙ by Ganzhao Yuan, et al. ∙ 0 ∙ share

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A Large-scale Varying-view RGB-D Action Dataset for Arbitrary-view Human Action Recognition

Current researches of action recognition mainly focus on single-view and...
04/24/2019 ∙ by Yanli Ji, et al. ∙ 0 ∙ share

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Weakly Supervised Open-set Domain Adaptation by Dual-domain Collaboration

In conventional domain adaptation, a critical assumption is that there e...
04/30/2019 ∙ by Shuhan Tan, et al. ∙ 0 ∙ share

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Towards Photo-Realistic Visible Watermark Removal with Conditional Generative Adversarial Networks

Visible watermark plays an important role in image copyright protection ...
05/30/2019 ∙ by Xiang Li, et al. ∙ 0 ∙ share

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Deep Dual Relation Modeling for Egocentric Interaction Recognition

Egocentric interaction recognition aims to recognize the camera wearer's...
05/31/2019 ∙ by Haoxin Li, et al. ∙ 0 ∙ share

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A Block Decomposition Algorithm for Sparse Optimization

Sparse optimization is a central problem in machine learning and compute...
05/27/2019 ∙ by Ganzhao Yuan, et al. ∙ 0 ∙ share

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Cross-view Relation Networks for Mammogram Mass Detection

Mammogram is the most effective imaging modality for the mass lesion det...
07/01/2019 ∙ by Jiechao Ma, et al. ∙ 0 ∙ share

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Batch Face Alignment using a Low-rank GAN

This paper studies the problem of aligning a set of face images of the s...
10/21/2019 ∙ by Jiabo Huang, et al. ∙ 0 ∙ share

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Weakly supervised discriminative feature learning with state information for person identification

Unsupervised learning of identity-discriminative visual feature is appea...
02/27/2020 ∙ by Hong-Xing Yu, et al. ∙ 0 ∙ share

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Adaptive Interaction Modeling via Graph Operations Search

Interaction modeling is important for video action analysis. Recently, s...
05/05/2020 ∙ by Haoxin Li, et al. ∙ 0 ∙ share

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Wei-Shi Zheng

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