David Zhang

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Chongqing University ∙ The Chinese University of Hong Kong, Shenzhen

Chair Professor, Department of Computing, The Hong Kong Polytechnic University

Asymmetric CNN for image super-resolution

Deep convolutional neural networks (CNNs) have been widely applied for l...
03/25/2021 ∙ by Chunwei Tian, et al. ∙ 0 ∙ share

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Touchless Palmprint Recognition based on 3D Gabor Template and Block Feature Refinement

With the growing demand for hand hygiene and convenience of use, palmpri...
03/03/2021 ∙ by Zhaoqun Li, et al. ∙ 0 ∙ share

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Deep-Masking Generative Network: A Unified Framework for Background Restoration from Superimposed Images

Restoring the clean background from the superimposed images containing a...
10/09/2020 ∙ by Xin Feng, et al. ∙ 1 ∙ share

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Designing and Training of A Dual CNN for Image Denoising

Deep convolutional neural networks (CNNs) for image denoising have recen...
07/08/2020 ∙ by Chunwei Tian, et al. ∙ 1 ∙ share

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Embedding-based Retrieval in Facebook Search

Search in social networks such as Facebook poses different challenges th...
06/20/2020 ∙ by Jui-Ting Huang, et al. ∙ 0 ∙ share

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Learning Context-Based Non-local Entropy Modeling for Image Compression

The entropy of the codes usually serves as the rate loss in the recent l...
05/10/2020 ∙ by Mu Li, et al. ∙ 2 ∙ share

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Biometric Recognition Using Deep Learning: A Survey

Deep learning-based models have been very successful in achieving state-...
11/30/2019 ∙ by Shervin Minaee, et al. ∙ 28 ∙ share

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Bit Efficient Quantization for Deep Neural Networks

Quantization for deep neural networks have afforded models for edge devi...
10/07/2019 ∙ by Prateeth Nayak, et al. ∙ 0 ∙ share

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Non-negative Sparse and Collaborative Representation for Pattern Classification

Sparse representation (SR) and collaborative representation (CR) have be...
08/20/2019 ∙ by Jun Xu, et al. ∙ 4 ∙ share

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Efficient and Effective Context-Based Convolutional Entropy Modeling for Image Compression

It has long been understood that precisely estimating the probabilistic ...
06/24/2019 ∙ by Mu Li, et al. ∙ 0 ∙ share

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Remove Cosine Window from Correlation Filter-based Visual Trackers: When and How

Correlation filters (CFs) have been continuously advancing the state-of-...
05/16/2019 ∙ by Xiaohe Wu, et al. ∙ 0 ∙ share

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Learning Content-Weighted Deep Image Compression

Learning-based lossy image compression usually involves the joint optimi...
04/01/2019 ∙ by Mu Li, et al. ∙ 10 ∙ share

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Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation

In many practical transfer learning scenarios, the feature distribution ...
03/25/2019 ∙ by Lei Zhang, et al. ∙ 22 ∙ share

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A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising

Most of existing image denoising methods assume the corrupted noise to b...
07/11/2018 ∙ by Jun Xu, et al. ∙ 0 ∙ share

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Simultaneous Fidelity and Regularization Learning for Image Restoration

Most existing non-blind restoration methods are based on the assumption ...
04/12/2018 ∙ by Dongwei Ren, et al. ∙ 2 ∙ share

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Real-world Noisy Image Denoising: A New Benchmark

Most of previous image denoising methods focus on additive white Gaussia...
04/07/2018 ∙ by Jun Xu, et al. ∙ 0 ∙ share

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Dual Asymmetric Deep Hashing Learning

Due to the impressive learning power, deep learning has achieved a remar...
01/25/2018 ∙ by Jinxing Li, et al. ∙ 0 ∙ share

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Efficient Trimmed Convolutional Arithmetic Encoding for Lossless Image Compression

Arithmetic encoding is an essential class of coding techniques which hav...
01/15/2018 ∙ by Mu Li, et al. ∙ 0 ∙ share

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Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio Variation

The aspect ratio variation frequently appears in visual tracking and has...
10/05/2017 ∙ by Yingjie Yao, et al. ∙ 0 ∙ share

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Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising

Most of the existing denoising algorithms are developed for grayscale im...
05/28/2017 ∙ by Jun Xu, et al. ∙ 0 ∙ share

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External Prior Guided Internal Prior Learning for Real Noisy Image Denoising

Most of existing image denoising methods learn image priors from either ...
05/12/2017 ∙ by Jun Xu, et al. ∙ 0 ∙ share

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Learning Convolutional Networks for Content-weighted Image Compression

Lossy image compression is generally formulated as a joint rate-distorti...
03/30/2017 ∙ by Mu Li, et al. ∙ 0 ∙ share

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Deep Identity-aware Transfer of Facial Attributes

This paper presents a Deep convolutional network model for Identity-Awar...
10/18/2016 ∙ by Mu Li, et al. ∙ 0 ∙ share

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Convolutional Network for Attribute-driven and Identity-preserving Human Face Generation

This paper focuses on the problem of generating human face pictures from...
08/23/2016 ∙ by Mu Li, et al. ∙ 0 ∙ share

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Multi-modal Fusion for Diabetes Mellitus and Impaired Glucose Regulation Detection

Effective and accurate diagnosis of Diabetes Mellitus (DM), as well as i...
04/12/2016 ∙ by Jinxing Li, et al. ∙ 0 ∙ share

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Quadratic Projection Based Feature Extraction with Its Application to Biometric Recognition

This paper presents a novel quadratic projection based feature extractio...
03/25/2016 ∙ by Yan Yan, et al. ∙ 0 ∙ share

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Learning Domain-Invariant Subspace using Domain Features and Independence Maximization

Domain adaptation algorithms are useful when the distributions of the tr...
03/15/2016 ∙ by Ke Yan, et al. ∙ 0 ∙ share

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A survey of sparse representation: algorithms and applications

Sparse representation has attracted much attention from researchers in f...
02/23/2016 ∙ by Zheng Zhang, et al. ∙ 0 ∙ share

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Robust Scene Text Recognition Using Sparse Coding based Features

In this paper, we propose an effective scene text recognition method usi...
12/29/2015 ∙ by Da-Han Wang, et al. ∙ 0 ∙ share

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SVM and ELM: Who Wins? Object Recognition with Deep Convolutional Features from ImageNet

Deep learning with a convolutional neural network (CNN) has been proved ...
06/08/2015 ∙ by Lei Zhang, et al. ∙ 0 ∙ share

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Iterated Support Vector Machines for Distance Metric Learning

Distance metric learning aims to learn from the given training data a va...
02/02/2015 ∙ by Wangmeng Zuo, et al. ∙ 0 ∙ share

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Fast Tracking via Spatio-Temporal Context Learning

In this paper, we present a simple yet fast and robust algorithm which e...
11/08/2013 ∙ by Kaihua Zhang, et al. ∙ 0 ∙ share

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Image Set based Collaborative Representation for Face Recognition

With the rapid development of digital imaging and communication technolo...
08/30/2013 ∙ by Pengfei Zhu, et al. ∙ 0 ∙ share

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A Local Active Contour Model for Image Segmentation with Intensity Inhomogeneity

A novel locally statistical active contour model (ACM) for image segment...
05/30/2013 ∙ by Kaihua Zhang, et al. ∙ 0 ∙ share

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Re-initialization Free Level Set Evolution via Reaction Diffusion

This paper presents a novel reaction-diffusion (RD) method for implicit ...
12/07/2011 ∙ by Kaihua Zhang, et al. ∙ 0 ∙ share

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Automatic Image Segmentation by Dynamic Region Merging

This paper addresses the automatic image segmentation problem in a regio...
12/06/2010 ∙ by Bo Peng, et al. ∙ 0 ∙ share

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David Zhang

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