Search Results for author: WangMeng Zuo

Found 151 papers, 78 papers with code

Learning Dual-Pixel Alignment for Defocus Deblurring

1 code implementation26 Apr 2022 Yu Li, Yaling Yi, Dongwei Ren, Qince Li, WangMeng Zuo

Generally, DPANet is an encoder-decoder with skip-connections, where two branches with shared parameters in the encoder are employed to extract and align deep features from left and right views, and one decoder is adopted to fuse aligned features for predicting the all-in-focus image.


Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment

no code implementations19 Apr 2022 Yue Cao, Zhaolin Wan, Dongwei Ren, Zifei Yan, WangMeng Zuo

Particularly, by treating all labeled data as positive samples, PU learning is leveraged to identify negative samples (i. e., outliers) from unlabeled data.

Image Quality Assessment

Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-ahead Forward Ones

no code implementations12 Apr 2022 Junyi Li, Xiaohe Wu, Zhenxin Niu, WangMeng Zuo

However, BiRNN is intrinsically offline because it uses backward recurrent modules to propagate from the last to current frames, which causes high latency and large memory consumption.

Denoising Frame +2

Localization Distillation for Object Detection

1 code implementation12 Apr 2022 Zhaohui Zheng, Rongguang Ye, Qibin Hou, Dongwei Ren, Ping Wang, WangMeng Zuo, Ming-Ming Cheng

Second, we introduce the concept of valuable localization region that can aid to selectively distill the classification and localization knowledge for a certain region.

Knowledge Distillation Object Detection

Semantic-shape Adaptive Feature Modulation for Semantic Image Synthesis

1 code implementation31 Mar 2022 Zhengyao Lv, Xiaoming Li, Zhenxing Niu, Bing Cao, WangMeng Zuo

Obviously, a fine-grained part-level semantic layout will benefit object details generation, and it can be roughly inferred from an object's shape.

Image Generation

An Intermediate-level Attack Framework on The Basis of Linear Regression

no code implementations21 Mar 2022 Yiwen Guo, Qizhang Li, WangMeng Zuo, Hao Chen

This paper substantially extends our work published at ECCV, in which an intermediate-level attack was proposed to improve the transferability of some baseline adversarial examples.

Self-Promoted Supervision for Few-Shot Transformer

1 code implementation14 Mar 2022 Bowen Dong, Pan Zhou, Shuicheng Yan, WangMeng Zuo

Specifically, besides the conventional global supervision for global semantic learning, SUN further pretrains the ViT on the few-shot learning dataset and then uses it to generate individual location-specific supervision for guiding each patch token.

Data Augmentation Few-Shot Learning

On Steering Multi-Annotations per Sample for Multi-Task Learning

no code implementations6 Mar 2022 Yuanze Li, Yiwen Guo, Qizhang Li, Hongzhi Zhang, WangMeng Zuo

Despite the remarkable progress, the challenge of optimally learning different tasks simultaneously remains to be explored.

Instance Segmentation Multi-Task Learning +2

Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations

no code implementations2 Mar 2022 Zhilu Zhang, Ruohao Wang, Hongzhi Zhang, Yunjin Chen, WangMeng Zuo

For the first issue, the more zoomed (telephoto) image can be naturally leveraged as the reference to guide the SR of the lesser zoomed (short-focus) image.

Reference-based Super-Resolution Self-Supervised Learning

NÜWA-LIP: Language Guided Image Inpainting with Defect-free VQGAN

no code implementations10 Feb 2022 Minheng Ni, Chenfei Wu, Haoyang Huang, Daxin Jiang, WangMeng Zuo, Nan Duan

Language guided image inpainting aims to fill in the defective regions of an image under the guidance of text while keeping non-defective regions unchanged.

Image Inpainting

Invertible Network for Unpaired Low-light Image Enhancement

no code implementations24 Dec 2021 Jize Zhang, Haolin Wang, Xiaohe Wu, WangMeng Zuo

Existing unpaired low-light image enhancement approaches prefer to employ the two-way GAN framework, in which two CNN generators are deployed for enhancement and degradation separately.

Low-Light Image Enhancement

Infrared Small-Dim Target Detection with Transformer under Complex Backgrounds

no code implementations29 Sep 2021 Fangcen Liu, Chenqiang Gao, Fang Chen, Deyu Meng, WangMeng Zuo, Xinbo Gao

We adopt the self-attention mechanism of the transformer to learn the interaction information of image features in a larger range.

Learning RAW-to-sRGB Mappings with Inaccurately Aligned Supervision

1 code implementation ICCV 2021 Zhilu Zhang, Haolin Wang, Ming Liu, Ruohao Wang, Jiawei Zhang, WangMeng Zuo

To diminish the effect of color inconsistency in image alignment, we introduce to use a global color mapping (GCM) module to generate an initial sRGB image given the input raw image, which can keep the spatial location of the pixels unchanged, and the target sRGB image is utilized to guide GCM for converting the color towards it.

Optical Flow Estimation

Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting

1 code implementation ICCV 2021 Binghui Chen, Zhaoyi Yan, Ke Li, Pengyu Li, Biao Wang, WangMeng Zuo, Lei Zhang

In crowd counting, due to the problem of laborious labelling, it is perceived intractability of collecting a new large-scale dataset which has plentiful images with large diversity in density, scene, etc.

Crowd Counting

Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation

1 code implementation ICCV 2021 Yuxiang Wei, Yupeng Shi, Xiao Liu, Zhilong Ji, Yuan Gao, Zhongqin Wu, WangMeng Zuo

It simply encourages the variation of output caused by perturbations on different latent dimensions to be orthogonal, and the Jacobian with respect to the input is calculated to represent this variation.

Disentanglement Image Generation

Local Patch Network with Global Attention for Infrared Small Target Detection

no code implementations13 Aug 2021 Fang Chen, Chenqiang Gao, Fangcen Liu, Yue Zhao, Yuxi Zhou, Deyu Meng, WangMeng Zuo

A local patch network (LPNet) with global attention is proposed in this paper to detect small targets by jointly considering the global and local properties of infrared small target images.

Semantic Segmentation

Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters

1 code implementation ICCV 2021 Bowen Dong, Zitong Huang, Yuelin Guo, Qilong Wang, Zhenxing Niu, WangMeng Zuo

In this paper, we defend the problem setting for improving localization performance by leveraging the bounding box regression knowledge from a well-annotated auxiliary dataset.

Object Localization Transfer Learning +1

Crowd Counting via Perspective-Guided Fractional-Dilation Convolution

1 code implementation8 Jul 2021 Zhaoyi Yan, Ruimao Zhang, Hongzhi Zhang, Qingfu Zhang, WangMeng Zuo

One of the main issues in this task is how to handle the dramatic scale variations of pedestrians caused by the perspective effect.

Crowd Counting

Learning Scalable lY=-Constrained Near-Lossless Image Compression via Joint Lossy Image and Residual Compression

no code implementations CVPR 2021 Yuanchao Bai, Xianming Liu, WangMeng Zuo, YaoWei Wang, Xiangyang Ji

To achieve scalable compression with the error bound larger than zero, we derive the probability model of the quantized residual by quantizing the learned probability model of the original residual, instead of training multiple networks.

Image Compression

VirFace: Enhancing Face Recognition via Unlabeled Shallow Data

no code implementations CVPR 2021 Wenyu Li, Tianchu Guo, Pengyu Li, Binghui Chen, Biao Wang, WangMeng Zuo, Lei Zhang

In this paper, we propose a novel face recognition method, named VirFace, to effectively apply the unlabeled shallow data for face recognition.

Face Recognition

Image Inpainting with Edge-guided Learnable Bidirectional Attention Maps

1 code implementation25 Apr 2021 Dongsheng Wang, Chaohao Xie, Shaohui Liu, Zhenxing Niu, WangMeng Zuo

In this paper, we present an edge-guided learnable bidirectional attention map (Edge-LBAM) for improving image inpainting of irregular holes with several distinct merits.

Image Inpainting

Learning Semantic Person Image Generation by Region-Adaptive Normalization

1 code implementation CVPR 2021 Zhengyao Lv, Xiaoming Li, Xin Li, Fu Li, Tianwei Lin, Dongliang He, WangMeng Zuo

In the first stage, we predict the target semantic parsing maps to eliminate the difficulties of pose transfer and further benefit the latter translation of per-region appearance style.

Pose Transfer Semantic Parsing +1

Learning Scalable $\ell_\infty$-constrained Near-lossless Image Compression via Joint Lossy Image and Residual Compression

no code implementations31 Mar 2021 Yuanchao Bai, Xianming Liu, WangMeng Zuo, YaoWei Wang, Xiangyang Ji

To achieve scalable compression with the error bound larger than zero, we derive the probability model of the quantized residual by quantizing the learned probability model of the original residual, instead of training multiple networks.

Image Compression

Asymmetric CNN for image super-resolution

1 code implementation25 Mar 2021 Chunwei Tian, Yong Xu, WangMeng Zuo, Chia-Wen Lin, David Zhang

In this paper, we propose an asymmetric CNN (ACNet) comprising an asymmetric block (AB), a memory enhancement block (MEB) and a high-frequency feature enhancement block (HFFEB) for image super-resolution.

Image Super-Resolution

Deepfake Forensics via An Adversarial Game

no code implementations25 Mar 2021 Zhi Wang, Yiwen Guo, WangMeng Zuo

In this paper, we advocate adversarial training for improving the generalization ability to both unseen facial forgeries and unseen image/video qualities.

Classification DeepFake Detection +2

Pseudo-ISP: Learning Pseudo In-camera Signal Processing Pipeline from A Color Image Denoiser

1 code implementation18 Mar 2021 Yue Cao, Xiaohe Wu, Shuran Qi, Xiao Liu, Zhongqin Wu, WangMeng Zuo

To begin with, the pre-trained denoiser is used to generate the pseudo clean images for the test images.


Learning Class-Agnostic Pseudo Mask Generation for Box-Supervised Semantic Segmentation

1 code implementation9 Mar 2021 Chaohao Xie, Dongwei Ren, Lei Wang, WangMeng Zuo

For learning pseudo mask generator from the auxiliary dataset, we present a bi-level optimization formulation.

Weakly-Supervised Semantic Segmentation

Localization Distillation for Dense Object Detection

2 code implementations24 Feb 2021 Zhaohui Zheng, Rongguang Ye, Ping Wang, Dongwei Ren, WangMeng Zuo, Qibin Hou, Ming-Ming Cheng

Previous KD methods for object detection mostly focus on imitating deep features within the imitation regions instead of mimicking classification logit due to its inefficiency in distilling localization information and trivial improvement.

Dense Object Detection Knowledge Distillation

Self Sparse Generative Adversarial Networks

no code implementations26 Jan 2021 Wenliang Qian, Yang Xu, WangMeng Zuo, Hui Li

In this work, we propose a Self Sparse Generative Adversarial Network (Self-Sparse GAN) that reduces the parameter space and alleviates the zero gradient problem.

Image Generation

Hybrid Trilinear and Bilinear Programming for Aligning Partially Overlapping Point Sets

no code implementations19 Jan 2021 Wei Lian, WangMeng Zuo, Lei Zhang

Alignment methods which can handle partially overlapping point sets and are invariant to the corresponding transformations are desirable in computer vision, with applications such as providing initial transformation configuration for local search based methods like ICP.

Bringing Events Into Video Deblurring With Non-Consecutively Blurry Frames

1 code implementation ICCV 2021 Wei Shang, Dongwei Ren, Dongqing Zou, Jimmy S. Ren, Ping Luo, WangMeng Zuo

EFM can also be easily incorporated into existing deblurring networks, making event-driven deblurring task benefit from state-of-the-art deblurring methods.


Two-Stage Single Image Reflection Removal with Reflection-Aware Guidance

1 code implementation2 Dec 2020 Yu Li, Ming Liu, Yaling Yi, Qince Li, Dongwei Ren, WangMeng Zuo

To be specific, the reflection layer is firstly estimated due to that it generally is much simpler and is relatively easier to estimate.

Reflection Removal

Progressive Training of Multi-level Wavelet Residual Networks for Image Denoising

2 code implementations23 Oct 2020 Yali Peng, Yue Cao, Shigang Liu, Jian Yang, WangMeng Zuo

To cope with this issue, this paper presents a multi-level wavelet residual network (MWRN) architecture as well as a progressive training (PTMWRN) scheme to improve image denoising performance.

Image Denoising

Learning Spatio-Appearance Memory Network for High-Performance Visual Tracking

1 code implementation21 Sep 2020 Fei Xie, Wankou Yang, Bo Liu, Kaihua Zhang, Wanli Xue, WangMeng Zuo

Existing visual object tracking usually learns a bounding-box based template to match the targets across frames, which cannot accurately learn a pixel-wise representation, thereby being limited in handling severe appearance variations.

Semantic Segmentation Video Object Segmentation +3

Unpaired Learning of Deep Image Denoising

1 code implementation ECCV 2020 Xiaohe Wu, Ming Liu, Yue Cao, Dongwei Ren, WangMeng Zuo

As for knowledge distillation, we first apply the learned noise models to clean images to synthesize a paired set of training images, and use the real noisy images and the corresponding denoising results in the first stage to form another paired set.

Image Denoising Knowledge Distillation +1

Plug-and-Play Image Restoration with Deep Denoiser Prior

4 code implementations31 Aug 2020 Kai Zhang, Yawei Li, WangMeng Zuo, Lei Zhang, Luc van Gool, Radu Timofte

Recent works on plug-and-play image restoration have shown that a denoiser can implicitly serve as the image prior for model-based methods to solve many inverse problems.

Deblurring Demosaicking +1

Learning Flow-based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision

1 code implementation ECCV 2020 Yuxiang Wei, Ming Liu, Haolin Wang, Ruifeng Zhu, Guosheng Hu, WangMeng Zuo

Despite recent advances in deep learning-based face frontalization methods, photo-realistic and illumination preserving frontal face synthesis is still challenging due to large pose and illumination discrepancy during training.

Face Generation

Component Divide-and-Conquer for Real-World Image Super-Resolution

1 code implementation ECCV 2020 Pengxu Wei, Ziwei Xie, Hannan Lu, Zongyuan Zhan, Qixiang Ye, WangMeng Zuo, Liang Lin

Learning an SR model with conventional pixel-wise loss usually is easily dominated by flat regions and edges, and fails to infer realistic details of complex textures.

Image Super-Resolution

Blind Face Restoration via Deep Multi-scale Component Dictionaries

1 code implementation ECCV 2020 Xiaoming Li, Chaofeng Chen, Shangchen Zhou, Xianhui Lin, WangMeng Zuo, Lei Zhang

Next, with the degraded input, we match and select the most similar component features from their corresponding dictionaries and transfer the high-quality details to the input via the proposed dictionary feature transfer (DFT) block.

Blind Face Restoration Video Super-Resolution

Lightweight image super-resolution with enhanced CNN

1 code implementation8 Jul 2020 Chunwei Tian, Ruibin Zhuge, Zhihao Wu, Yong Xu, WangMeng Zuo, Chen Chen, Chia-Wen Lin

Finally, the IRB uses coarse high-frequency features from the RB to learn more accurate SR features and construct a SR image.

Image Super-Resolution

Designing and Training of A Dual CNN for Image Denoising

1 code implementation8 Jul 2020 Chunwei Tian, Yong Xu, WangMeng Zuo, Bo Du, Chia-Wen Lin, David Zhang

The enhancement block gathers and fuses the global and local features to provide complementary information for the latter network.

Image Denoising

Aligning Partially Overlapping Point Sets: an Inner Approximation Algorithm

no code implementations5 Jul 2020 Wei Lian, WangMeng Zuo, Lei Zhang

Our method is also $\epsilon-$globally optimal and thus is guaranteed to be robust.

Cross-Scale Internal Graph Neural Network for Image Super-Resolution

1 code implementation NeurIPS 2020 Shangchen Zhou, Jiawei Zhang, WangMeng Zuo, Chen Change Loy

Specifically, we dynamically construct a cross-scale graph by searching k-nearest neighboring patches in the downsampled LR image for each query patch in the LR image.

Image Restoration Image Super-Resolution

Flexible Image Denoising with Multi-layer Conditional Feature Modulation

1 code implementation24 Jun 2020 Jiazhi Du, Xin Qiao, Zifei Yan, Hongzhi Zhang, WangMeng Zuo

For flexible non-blind image denoising, existing deep networks usually take both noisy image and noise level map as the input to handle various noise levels with a single model.

Image Denoising

Dark and Bright Channel Prior Embedded Network for Dynamic Scene Deblurring

1 code implementation21 May 2020 Jianrui Cai, WangMeng Zuo, and Lei Zhang

In this work, we propose a Dark and Bright Channel Priors embedded Network (DBCPeNet) to plug the channel priors into a neural network for effective dynamic scene deblurring.

Ranked #19 on Image Deblurring on GoPro (using extra training data)

Deblurring Image Deblurring

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

no code implementations10 May 2020 Mu Li, Kai Zhang, WangMeng Zuo, Radu Timofte, David Zhang

To address this issue, we propose a non-local operation for context modeling by employing the global similarity within the context.

Image Compression

Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation

6 code implementations7 May 2020 Zhaohui Zheng, Ping Wang, Dongwei Ren, Wei Liu, Rongguang Ye, QinGhua Hu, WangMeng Zuo

In this paper, we propose Complete-IoU (CIoU) loss and Cluster-NMS for enhancing geometric factors in both bounding box regression and Non-Maximum Suppression (NMS), leading to notable gains of average precision (AP) and average recall (AR), without the sacrifice of inference efficiency.

Instance Segmentation Object Detection +1

Deep Adaptive Inference Networks for Single Image Super-Resolution

1 code implementation8 Apr 2020 Ming Liu, Zhilu Zhang, Liya Hou, WangMeng Zuo, Lei Zhang

Nonetheless, content and resource adaptive model is more preferred, and it is encouraging to apply simpler and efficient networks to the easier regions with less details and the scenarios with restricted efficiency constraints.

Image Super-Resolution

What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective

1 code implementation CVPR 2020 Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, WangMeng Zuo, QinGhua Hu

Recent works have demonstrated that global covariance pooling (GCP) has the ability to improve performance of deep convolutional neural networks (CNNs) on visual classification task.

Instance Segmentation Object Detection +1

Towards Photo-Realistic Virtual Try-On by Adaptively Generating$\leftrightarrow$Preserving Image Content

2 code implementations12 Mar 2020 Han Yang, Ruimao Zhang, Xiaobao Guo, Wei Liu, WangMeng Zuo, Ping Luo

First, a semantic layout generation module utilizes semantic segmentation of the reference image to progressively predict the desired semantic layout after try-on.

Semantic Segmentation Virtual Try-on

Deep Learning on Image Denoising: An overview

no code implementations31 Dec 2019 Chunwei Tian, Lunke Fei, Wenxian Zheng, Yong Xu, WangMeng Zuo, Chia-Wen Lin

However, there are substantial differences in the various types of deep learning methods dealing with image denoising.

Image Denoising

ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

10 code implementations CVPR 2020 Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, WangMeng Zuo, QinGhua Hu

By dissecting the channel attention module in SENet, we empirically show avoiding dimensionality reduction is important for learning channel attention, and appropriate cross-channel interaction can preserve performance while significantly decreasing model complexity.

Dimensionality Reduction Image Classification +3

Perspective-Guided Convolution Networks for Crowd Counting

1 code implementation ICCV 2019 Zhaoyi Yan, Yuchen Yuan, WangMeng Zuo, Xiao Tan, Yezhen Wang, Shilei Wen, Errui Ding

In this paper, we propose a novel perspective-guided convolution (PGC) for convolutional neural network (CNN) based crowd counting (i. e. PGCNet), which aims to overcome the dramatic intra-scene scale variations of people due to the perspective effect.

Crowd Counting

Image denoising using deep CNN with batch renormalization

2 code implementations Neural Networks 2019 Chunwei Tian, Yong Xu, WangMeng Zuo

In this paper, we report the design of a novel network called a batch-renormalization denoising network (BRDNet).

Image Denoising

Image Inpainting with Learnable Bidirectional Attention Maps

1 code implementation ICCV 2019 Chaohao Xie, Shaohui Liu, Chao Li, Ming-Ming Cheng, WangMeng Zuo, Xiao Liu, Shilei Wen, Errui Ding

Most convolutional network (CNN)-based inpainting methods adopt standard convolution to indistinguishably treat valid pixels and holes, making them limited in handling irregular holes and more likely to generate inpainting results with color discrepancy and blurriness.

Image Inpainting

Deep Concept-wise Temporal Convolutional Networks for Action Localization

2 code implementations26 Aug 2019 Xin Li, Tianwei Lin, Xiao Liu, Chuang Gan, WangMeng Zuo, Chao Li, Xiang Long, Dongliang He, Fu Li, Shilei Wen

In this paper, we empirically find that stacking more conventional temporal convolution layers actually deteriorates action classification performance, possibly ascribing to that all channels of 1D feature map, which generally are highly abstract and can be regarded as latent concepts, are excessively recombined in temporal convolution.

Action Classification Action Localization

Neural Blind Deconvolution Using Deep Priors

1 code implementation CVPR 2020 Dongwei Ren, Kai Zhang, Qilong Wang, QinGhua Hu, WangMeng Zuo

To connect MAP and deep models, we in this paper present two generative networks for respectively modeling the deep priors of clean image and blur kernel, and propose an unconstrained neural optimization solution to blind deconvolution.

Deblurring Self-Supervised Learning

Multi-level Wavelet Convolutional Neural Networks

3 code implementations6 Jul 2019 Pengju Liu, Hongzhi Zhang, Wei Lian, WangMeng Zuo

Specifically, MWCNN for image restoration is based on U-Net architecture, and inverse wavelet transform (IWT) is deployed to reconstruct the high resolution (HR) feature maps.

Image Denoising Image Restoration +1

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

2 code implementations24 Jun 2019 Mu Li, Kede Ma, Jane You, David Zhang, WangMeng Zuo

For the former, we directly apply a CCN to the binarized representation of an image to compute the Bernoulli distribution of each code for entropy estimation.

Image Compression

Data Augmentation for Object Detection via Progressive and Selective Instance-Switching

1 code implementation2 Jun 2019 Hao Wang, Qilong Wang, Fan Yang, Weiqi Zhang, WangMeng Zuo

For guiding our IS to obtain better object performance, we explore issues of instance imbalance and class importance in datasets, which frequently occur and bring adverse effect on detection performance.

Data Augmentation Instance Segmentation +1

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

1 code implementation16 May 2019 Feng Li, Xiaohe Wu, WangMeng Zuo, David Zhang, Lei Zhang

Therefore, we in this paper investigate the feasibility to remove cosine window from CF trackers with spatial regularization.

Spatio-Temporal Filter Adaptive Network for Video Deblurring

1 code implementation ICCV 2019 Shangchen Zhou, Jiawei Zhang, Jinshan Pan, Haozhe Xie, WangMeng Zuo, Jimmy Ren

To overcome the limitation of separate optical flow estimation, we propose a Spatio-Temporal Filter Adaptive Network (STFAN) for the alignment and deblurring in a unified framework.

Ranked #4 on Deblurring on DVD (using extra training data)

Deblurring Frame +2

STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing

3 code implementations CVPR 2019 Ming Liu, Yukang Ding, Min Xia, Xiao Liu, Errui Ding, WangMeng Zuo, Shilei Wen

Arbitrary attribute editing generally can be tackled by incorporating encoder-decoder and generative adversarial networks.


DAVANet: Stereo Deblurring with View Aggregation

1 code implementation CVPR 2019 Shangchen Zhou, Jiawei Zhang, WangMeng Zuo, Haozhe Xie, Jinshan Pan, Jimmy Ren

Nowadays stereo cameras are more commonly adopted in emerging devices such as dual-lens smartphones and unmanned aerial vehicles.

Deblurring Image Deblurring

Blind Super-Resolution With Iterative Kernel Correction

3 code implementations CVPR 2019 Jinjin Gu, Hannan Lu, WangMeng Zuo, Chao Dong

In this paper, we propose an Iterative Kernel Correction (IKC) method for blur kernel estimation in blind SR problem, where the blur kernels are unknown.

Image Super-Resolution

Learning Content-Weighted Deep Image Compression

1 code implementation1 Apr 2019 Mu Li, WangMeng Zuo, Shuhang Gu, Jane You, David Zhang

Learning-based lossy image compression usually involves the joint optimization of rate-distortion performance.

Image Compression

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels

1 code implementation CVPR 2019 Kai Zhang, WangMeng Zuo, Lei Zhang

In this paper, we propose a principled formulation and framework by extending bicubic degradation based deep SISR with the help of plug-and-play framework to handle LR images with arbitrary blur kernels.

Deblurring Image Restoration +1

Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation

1 code implementation25 Mar 2019 Lei Zhang, Shan-Shan Wang, Guang-Bin Huang, WangMeng Zuo, Jian Yang, David Zhang

The merits of the proposed MCTL are four-fold: 1) the concept of manifold criterion (MC) is first proposed as a measure validating the distribution matching across domains, and domain adaptation is achieved if the MC is satisfied; 2) the proposed MC can well guide the generation of the intermediate domain sharing similar distribution with the target domain, by minimizing the local domain discrepancy; 3) a global generative discrepancy metric (GGDM) is presented, such that both the global and local discrepancy can be effectively and positively reduced; 4) a simplified version of MCTL called MCTL-S is presented under a perfect domain generation assumption for more generic learning scenario.

Transfer Learning Unsupervised Domain Adaptation

Extreme Channel Prior Embedded Network for Dynamic Scene Deblurring

no code implementations2 Mar 2019 Jianrui Cai, WangMeng Zuo, Lei Zhang

In this work, we propose an Extreme Channel Prior embedded Network (ECPeNet) to plug the extreme channel priors (i. e., priors on dark and bright channels) into a network architecture for effective dynamic scene deblurring.

Deblurring Image Deblurring

Progressive Image Deraining Networks: A Better and Simpler Baseline

2 code implementations CVPR 2019 Dongwei Ren, WangMeng Zuo, QinGhua Hu, Pengfei Zhu, Deyu Meng

To handle this issue, this paper provides a better and simpler baseline deraining network by considering network architecture, input and output, and loss functions.

Image Super-Resolution Single Image Deraining +1

Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net

no code implementations CVPR 2019 Qi Xie, Minghao Zhou, Qian Zhao, Deyu Meng, WangMeng Zuo, Zongben Xu

In this paper, we propose a model-based deep learning approach for merging an HrMS and LrHS images to generate a high-resolution hyperspectral (HrHS) image.

Learning Symmetry Consistent Deep CNNs for Face Completion

1 code implementation19 Dec 2018 Xiaoming Li, Ming Liu, Jieru Zhu, WangMeng Zuo, Meng Wang, Guosheng Hu, Lei Zhang

As for missing pixels on both of half-faces, we present a generative reconstruction subnet together with a perceptual symmetry loss to enforce symmetry consistency of recovered structures.

Face Recognition Facial Inpainting

Deep Non-Blind Deconvolution via Generalized Low-Rank Approximation

no code implementations NeurIPS 2018 Wenqi Ren, Jiawei Zhang, Lin Ma, Jinshan Pan, Xiaochun Cao, WangMeng Zuo, Wei Liu, Ming-Hsuan Yang

In this paper, we present a deep convolutional neural network to capture the inherent properties of image degradation, which can handle different kernels and saturated pixels in a unified framework.


Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks

1 code implementation NeurIPS 2018 Qilong Wang, Zilin Gao, Jiangtao Xie, WangMeng Zuo, Peihua Li

However, both GAP and existing HOP methods assume unimodal distributions, which cannot fully capture statistics of convolutional activations, limiting representation ability of deep CNNs, especially for samples with complex contents.

Model Inconsistent but Correlated Noise: Multi-view Subspace Learning with Regularized Mixture of Gaussians

no code implementations7 Nov 2018 Hongwei Yong, Deyu Meng, Jinxing Li, WangMeng Zuo, Lei Zhang

Different from single view case, MSL should take both common and specific knowledge among different views into consideration.

Weakly-supervised Video Summarization using Variational Encoder-Decoder and Web Prior

1 code implementation ECCV 2018 Sijia Cai, WangMeng Zuo, Larry S. Davis, Lei Zhang

Video summarization is a challenging under-constrained problem because the underlying summary of a single video strongly depends on users' subjective understandings.

Saliency Prediction Supervised Video Summarization

Convolutional Neural Networks based Intra Prediction for HEVC

no code implementations17 Aug 2018 Wenxue Cui, Tao Zhang, Shengping Zhang, Feng Jiang, WangMeng Zuo, Debin Zhao

To overcome this problem, in this paper, an intra prediction convolutional neural network (IPCNN) is proposed for intra prediction, which exploits the rich context of the current block and therefore is capable of improving the accuracy of predicting the current block.

Unsupervised/Semi-supervised Deep Learning for Low-dose CT Enhancement

no code implementations8 Aug 2018 Mingrui Geng, Yun Deng, Qian Zhao, Qi Xie, Dong Zeng, WangMeng Zuo, Deyu Meng

To address this issue, we propose an unsupervised DL method for LdCT enhancement that incorporates unlabeled LdCT sinograms directly into the network training.

Joint Representation and Truncated Inference Learning for Correlation Filter based Tracking

no code implementations ECCV 2018 Yingjie Yao, Xiaohe Wu, Lei Zhang, Shiguang Shan, WangMeng Zuo

In existing off-line deep learning models for CF trackers, the model adaptation usually is either abandoned or has closed-form solution to make it feasible to learn deep representation in an end-to-end manner.


Scaled Simplex Representation for Subspace Clustering

3 code implementations26 Jul 2018 Jun Xu, Mengyang Yu, Ling Shao, WangMeng Zuo, Deyu Meng, Lei Zhang, David Zhang

However, the negative entries in the coefficient matrix are forced to be positive when constructing the affinity matrix via exponentiation, absolute symmetrization, or squaring operations.

Identity Preserving Face Completion for Large Ocular Region Occlusion

no code implementations23 Jul 2018 Yajie Zhao, Weikai Chen, Jun Xing, Xiaoming Li, Zach Bessinger, Fuchang Liu, WangMeng Zuo, Ruigang Yang

Different from the state-of-the-art face inpainting methods that have no control over the synthesized content and can only handle frontal face pose, our approach can faithfully recover the missing content under various head poses while preserving the identity.

Facial Inpainting

Toward Convolutional Blind Denoising of Real Photographs

2 code implementations CVPR 2019 Shi Guo, Zifei Yan, Kai Zhang, WangMeng Zuo, Lei Zhang

While deep convolutional neural networks (CNNs) have achieved impressive success in image denoising with additive white Gaussian noise (AWGN), their performance remains limited on real-world noisy photographs.

Image Denoising Noise Estimation

Generative Adversarial Learning Towards Fast Weakly Supervised Detection

no code implementations CVPR 2018 Yunhan Shen, Rongrong Ji, Shengchuan Zhang, WangMeng Zuo, Yan Wang

Without the need of annotating bounding boxes, the existing methods usually follow a two/multi-stage pipeline with an online compulsive stage to extract object proposals, which is an order of magnitude slower than fast fully supervised object detectors such as SSD [31] and YOLO [34].

Weakly Supervised Object Detection

Multi-level Wavelet-CNN for Image Restoration

5 code implementations18 May 2018 Pengju Liu, Hongzhi Zhang, Kai Zhang, Liang Lin, WangMeng Zuo

With the modified U-Net architecture, wavelet transform is introduced to reduce the size of feature maps in the contracting subnetwork.

Image Denoising Image Super-Resolution +1

Learning Warped Guidance for Blind Face Restoration

1 code implementation ECCV 2018 Xiaoming Li, Ming Liu, Yuting Ye, WangMeng Zuo, Liang Lin, Ruigang Yang

For better recovery of fine facial details, we modify the problem setting by taking both the degraded observation and a high-quality guided image of the same identity as input to our guided face restoration network (GFRNet).

Blind Face Restoration

Simultaneous Fidelity and Regularization Learning for Image Restoration

1 code implementation12 Apr 2018 Dongwei Ren, WangMeng Zuo, David Zhang, Lei Zhang, Ming-Hsuan Yang

For blind deconvolution, as estimation error of blur kernel is usually introduced, the subsequent non-blind deconvolution process does not restore the latent image well.

Denoising Image Deconvolution +1

VITAL: VIsual Tracking via Adversarial Learning

no code implementations CVPR 2018 Yibing Song, Chao Ma, Xiaohe Wu, Lijun Gong, Linchao Bao, WangMeng Zuo, Chunhua Shen, Rynson Lau, Ming-Hsuan Yang

To augment positive samples, we use a generative network to randomly generate masks, which are applied to adaptively dropout input features to capture a variety of appearance changes.

Frame General Classification +1

Multi-views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images

1 code implementation9 Apr 2018 Gongning Luo, Suyu Dong, Kuanquan Wang, WangMeng Zuo, Shaodong Cao, Henggui Zhang

Methods: In this paper, we propose a direct volumes prediction method based on the end-to-end deep convolutional neural networks (CNN).

Multi-scale Location-aware Kernel Representation for Object Detection

2 code implementations CVPR 2018 Hao Wang, Qilong Wang, Mingqi Gao, Peihua Li, WangMeng Zuo

Our MLKP can be efficiently computed on a modified multi-scale feature map using a low-dimensional polynomial kernel approximation. Moreover, different from existing orderless global representations based on high-order statistics, our proposed MLKP is location retentive and sensitive so that it can be flexibly adopted to object detection.

General Classification Object Detection

Metric Learning with Dynamically Generated Pairwise Constraints for Ear Recognition

no code implementations26 Mar 2018 Ibrahim Omara, Hongzhi Zhang, Faqiang Wang, WangMeng Zuo

Ear recognition task is known as predicting whether two ear images belong to the same person or not.

Metric Learning

Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking

1 code implementation CVPR 2018 Feng Li, Cheng Tian, WangMeng Zuo, Lei Zhang, Ming-Hsuan Yang

Compared with SRDCF, STRCF with hand-crafted features provides a 5 times speedup and achieves a gain of 5. 4% and 3. 6% AUC score on OTB-2015 and Temple-Color, respectively.

Visual Object Tracking Visual Tracking

Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift

no code implementations CVPR 2018 Ruijia Xu, Ziliang Chen, WangMeng Zuo, Junjie Yan, Liang Lin

Motivated by the theoretical results in \cite{mansour2009domain}, the target distribution can be represented as the weighted combination of source distributions, and, the multi-source unsupervised domain adaptation via DCTN is then performed as two alternating steps: i) It deploys multi-way adversarial learning to minimize the discrepancy between the target and each of the multiple source domains, which also obtains the source-specific perplexity scores to denote the possibilities that a target sample belongs to different source domains.

Multi-Source Unsupervised Domain Adaptation Unsupervised Domain Adaptation

Shift-Net: Image Inpainting via Deep Feature Rearrangement

1 code implementation ECCV 2018 Zhaoyi Yan, Xiaoming Li, Mu Li, WangMeng Zuo, Shiguang Shan

To this end, the encoder feature of the known region is shifted to serve as an estimation of the missing parts.

Image Inpainting

Enlarging Context with Low Cost: Efficient Arithmetic Coding with Trimmed Convolution

no code implementations15 Jan 2018 Mu Li, Shuhang Gu, David Zhang, WangMeng Zuo

One key issue of arithmetic encoding method is to predict the probability of the current coding symbol from its context, i. e., the preceding encoded symbols, which usually can be executed by building a look-up table (LUT).

Image Compression

Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks

2 code implementations20 Dec 2017 Tianshui Chen, Liang Lin, WangMeng Zuo, Xiaonan Luo, Lei Zhang

In this work, aiming at a general and comprehensive way for neural network acceleration, we develop a Wavelet-like Auto-Encoder (WAE) that decomposes the original input image into two low-resolution channels (sub-images) and incorporate the WAE into the classification neural networks for joint training.

Classification General Classification +1

AttGAN: Facial Attribute Editing by Only Changing What You Want

8 code implementations29 Nov 2017 Zhenliang He, WangMeng Zuo, Meina Kan, Shiguang Shan, Xilin Chen

Based on the encoder-decoder architecture, facial attribute editing is achieved by decoding the latent representation of the given face conditioned on the desired attributes.

FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising

6 code implementations11 Oct 2017 Kai Zhang, WangMeng Zuo, Lei Zhang

Due to the fast inference and good performance, discriminative learning methods have been widely studied in image denoising.

Image Denoising

Visual Tracking via Dynamic Graph Learning

no code implementations4 Oct 2017 Chenglong Li, Liang Lin, WangMeng Zuo, Jin Tang, Ming-Hsuan Yang

First, the graph is initialized by assigning binary weights of some image patches to indicate the object and background patches according to the predicted bounding box.

Graph Learning Object Tracking +1

Higher-Order Integration of Hierarchical Convolutional Activations for Fine-Grained Visual Categorization

no code implementations ICCV 2017 Sijia Cai, WangMeng Zuo, Lei Zhang

The success of fine-grained visual categorization (FGVC) extremely relies on the modeling of appearance and interactions of various semantic parts.

Fine-Grained Visual Categorization

Joint Convolutional Analysis and Synthesis Sparse Representation for Single Image Layer Separation

no code implementations ICCV 2017 Shuhang Gu, Deyu Meng, WangMeng Zuo, Lei Zhang

To exploit the complementary representation mechanisms of ASR and SSR, we integrate the two models and propose a joint convolutional analysis and synthesis (JCAS) sparse representation model.

Tone Mapping

Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions

no code implementations27 Sep 2017 Ruimao Zhang, Liang Lin, Guangrun Wang, Meng Wang, WangMeng Zuo

Rather than relying on elaborative annotations (e. g., manually labeled semantic maps and relations), we train our deep model in a weakly-supervised learning manner by leveraging the descriptive sentences of the training images.

Scene Labeling Scene Understanding

Learning Dynamic Guidance for Depth Image Enhancement

no code implementations CVPR 2017 Shuhang Gu, WangMeng Zuo, Shi Guo, Yunjin Chen, Chongyu Chen, Lei Zhang

To address these limitations, we propose a weighted analysis representation model for guided depth image enhancement, which advances the conventional methods in two aspects: (i) task driven learning and (ii) dynamic guidance.

Depth Image Upsampling Image Enhancement +1

Robust Online Matrix Factorization for Dynamic Background Subtraction

no code implementations28 May 2017 Hongwei Yong, Deyu Meng, WangMeng Zuo, Lei Zhang

We propose an effective online background subtraction method, which can be robustly applied to practical videos that have variations in both foreground and background.


Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation

3 code implementations CVPR 2017 Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, WangMeng Zuo

Specifically, we introduce class-specific auxiliary weights into the original MMD for exploiting the class prior probability on source and target domains, whose challenge lies in the fact that the class label in target domain is unavailable.

Unsupervised Domain Adaptation

Learning Deep CNN Denoiser Prior for Image Restoration

2 code implementations CVPR 2017 Kai Zhang, WangMeng Zuo, Shuhang Gu, Lei Zhang

Recent works have revealed that, with the aid of variable splitting techniques, denoiser prior can be plugged in as a modular part of model-based optimization methods to solve other inverse problems (e. g., deblurring).

Color Image Denoising Deblurring +2

Learning Convolutional Networks for Content-weighted Image Compression

1 code implementation CVPR 2018 Mu Li, WangMeng Zuo, Shuhang Gu, Debin Zhao, David Zhang

Therefore, the encoder, decoder, binarizer and importance map can be jointly optimized in an end-to-end manner by using a subset of the ImageNet database.

Binarization Image Compression +1

Is Second-order Information Helpful for Large-scale Visual Recognition?

1 code implementation ICCV 2017 Peihua Li, Jiangtao Xie, Qilong Wang, WangMeng Zuo

The main challenges involved are robust covariance estimation given a small sample of large-dimensional features and usage of the manifold structure of covariance matrices.

Object Recognition

Active Self-Paced Learning for Cost-Effective and Progressive Face Identification

no code implementations13 Jan 2017 Liang Lin, Keze Wang, Deyu Meng, WangMeng Zuo, Lei Zhang

By naturally combining two recently rising techniques: active learning (AL) and self-paced learning (SPL), our framework is capable of automatically annotating new instances and incorporating them into training under weak expert re-certification.

Active Learning Face Identification

Deep Identity-aware Transfer of Facial Attributes

no code implementations18 Oct 2016 Mu Li, WangMeng Zuo, David Zhang

In general, our model consists of a mask network and an attribute transform network which work in synergy to generate a photo-realistic facial image with the reference attribute.

Denoising Face Hallucination +1

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

no code implementations23 Aug 2016 Mu Li, WangMeng Zuo, David Zhang

Here we address this problem from the view of optimization, and suggest an optimization model to generate human face with the given attributes while keeping the identity of the reference image.

Face Generation

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

14 code implementations13 Aug 2016 Kai Zhang, WangMeng Zuo, Yunjin Chen, Deyu Meng, Lei Zhang

Discriminative model learning for image denoising has been recently attracting considerable attentions due to its favorable denoising performance.

Image Deblocking Image Denoising +2

The Solution Path Algorithm for Identity-Aware Multi-Object Tracking

no code implementations CVPR 2016 Shoou-I Yu, Deyu Meng, WangMeng Zuo, Alexander Hauptmann

The tracker is formulated as a quadratic optimization problem with L0 norm constraints, which we propose to solve with the solution path algorithm.

Active Learning Decision Making +2

RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian With Application to Material Recognition

no code implementations CVPR 2016 Qilong Wang, Peihua Li, WangMeng Zuo, Lei Zhang

Infinite dimensional covariance descriptors can provide richer and more discriminative information than their low dimensional counterparts.

Material Recognition

A Probabilistic Collaborative Representation Based Approach for Pattern Classification

no code implementations CVPR 2016 Sijia Cai, Lei Zhang, WangMeng Zuo, Xiangchu Feng

Consequently, we present a probabilistic collaborative representation based classifier (ProCRC), which jointly maximizes the likelihood that a test sample belongs to each of the multiple classes.

Classification General Classification

Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization

no code implementations CVPR 2016 Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu, Shuhang Gu, WangMeng Zuo, Lei Zhang

Multispectral images (MSI) can help deliver more faithful representation for real scenes than the traditional image system, and enhance the performance of many computer vision tasks.


Joint Learning of Single-Image and Cross-Image Representations for Person Re-Identification

no code implementations CVPR 2016 Faqiang Wang, WangMeng Zuo, Liang Lin, David Zhang, Lei Zhang

Person re-identification has been usually solved as either the matching of single-image representation (SIR) or the classification of cross-image representation (CIR).

Person Re-Identification

Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning

no code implementations13 May 2016 Liang Lin, Guangrun Wang, WangMeng Zuo, Xiangchu Feng, Lei Zhang

Cross-domain visual data matching is one of the fundamental problems in many real-world vision tasks, e. g., matching persons across ID photos and surveillance videos.

Face Verification Person Re-Identification +1

Deep Structured Scene Parsing by Learning with Image Descriptions

no code implementations CVPR 2016 Liang Lin, Guangrun Wang, Rui Zhang, Ruimao Zhang, Xiaodan Liang, WangMeng Zuo

This paper addresses a fundamental problem of scene understanding: How to parse the scene image into a structured configuration (i. e., a semantic object hierarchy with object interaction relations) that finely accords with human perception.

Scene Labeling Scene Understanding

Learning Support Correlation Filters for Visual Tracking

no code implementations22 Jan 2016 Wangmeng Zuo, Xiaohe Wu, Liang Lin, Lei Zhang, Ming-Hsuan Yang

Sampling and budgeting training examples are two essential factors in tracking algorithms based on support vector machines (SVMs) as a trade-off between accuracy and efficiency.

Visual Tracking

Weighted Schatten $p$-Norm Minimization for Image Denoising and Background Subtraction

no code implementations3 Dec 2015 Yuan Xie, Shuhang Gu, Yan Liu, WangMeng Zuo, Wensheng Zhang, Lei Zhang

However, NNM tends to over-shrink the rank components and treats the different rank components equally, limiting its flexibility in practical applications.

Image Denoising

Convolutional Sparse Coding for Image Super-Resolution

no code implementations ICCV 2015 Shuhang Gu, WangMeng Zuo, Qi Xie, Deyu Meng, Xiangchu Feng, Lei Zhang

Sparse coding (SC) plays an important role in versatile computer vision applications such as image super-resolution (SR).

Image Reconstruction Image Super-Resolution

Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising

no code implementations ICCV 2015 Jun Xu, Lei Zhang, WangMeng Zuo, David Zhang, Xiangchu Feng

PGs are extracted from training images by putting nonlocal similar patches into groups, and a PG based Gaussian Mixture Model (PG-GMM) learning algorithm is developed to learn the NSS prior.

Image Denoising

Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification

no code implementations19 Aug 2015 Ruimao Zhang, Liang Lin, Rui Zhang, WangMeng Zuo, Lei Zhang

Furthermore, each bit of our hashing codes is unequally weighted so that we can manipulate the code lengths by truncating the insignificant bits.

Image Retrieval Person Re-Identification

Towards Effective Codebookless Model for Image Classification

no code implementations9 Jul 2015 Qilong Wang, Peihua Li, Lei Zhang, WangMeng Zuo

The bag-of-features (BoF) model for image classification has been thoroughly studied over the last decade.

Classification General Classification +2

SOLD: Sub-Optimal Low-rank Decomposition for Efficient Video Segmentation

no code implementations CVPR 2015 Chenglong Li, Liang Lin, WangMeng Zuo, Shuicheng Yan, Jin Tang

In particular, the affinity matrix with the rank fixed can be decomposed into two sub-matrices of low rank, and then we iteratively optimize them with closed-form solutions.

Video Segmentation Video Semantic Segmentation

Discriminative Learning of Iteration-Wise Priors for Blind Deconvolution

no code implementations CVPR 2015 Wangmeng Zuo, Dongwei Ren, Shuhang Gu, Liang Lin, Lei Zhang

The maximum a posterior (MAP)-based blind deconvolution framework generally involves two stages: blur kernel estimation and non-blind restoration.


Detail-preserving and Content-aware Variational Multi-view Stereo Reconstruction

no code implementations3 May 2015 Zhaoxin Li, Kuanquan Wang, WangMeng Zuo, Deyu Meng, Lei Zhang

It is much more promising in suppressing noise while preserving sharp features than conventional isotropic mesh smoothing.

Denoising Image Registration

F-SVM: Combination of Feature Transformation and SVM Learning via Convex Relaxation

no code implementations20 Apr 2015 Xiaohe Wu, WangMeng Zuo, Yuanyuan Zhu, Liang Lin

The generalization error bound of support vector machine (SVM) depends on the ratio of radius and margin, while standard SVM only considers the maximization of the margin but ignores the minimization of the radius.

Deep Joint Task Learning for Generic Object Extraction

no code implementations NeurIPS 2014 Xiaolong Wang, Liliang Zhang, Liang Lin, Zhujin Liang, WangMeng Zuo

We present a general joint task learning framework, in which each task (either object localization or object segmentation) is tackled via a multi-layer convolutional neural network, and the two networks work collaboratively to boost performance.

Object Localization Semantic Segmentation

Iterated Support Vector Machines for Distance Metric Learning

no code implementations2 Feb 2015 Wangmeng Zuo, Faqiang Wang, David Zhang, Liang Lin, Yuchi Huang, Deyu Meng, Lei Zhang

Distance metric learning aims to learn from the given training data a valid distance metric, with which the similarity between data samples can be more effectively evaluated for classification.

Classification Face Verification +4

3D Human Activity Recognition with Reconfigurable Convolutional Neural Networks

no code implementations26 Jan 2015 Keze Wang, Xiaolong Wang, Liang Lin, Meng Wang, WangMeng Zuo

Our model thus advances existing approaches in two aspects: (i) it acts directly on the raw inputs (grayscale-depth data) to conduct recognition instead of relying on hand-crafted features, and (ii) the model structure can be dynamically adjusted accounting for the temporal variations of human activities, i. e. the network configuration is allowed to be partially activated during inference.

Activity Recognition

Weighted Nuclear Norm Minimization with Application to Image Denoising

no code implementations CVPR 2014 Shuhang Gu, Lei Zhang, WangMeng Zuo, Xiangchu Feng

In this paper we study the weighted nuclear norm minimization (WNNM) problem, where the singular values are assigned different weights.

Image Denoising

On the Optimal Solution of Weighted Nuclear Norm Minimization

no code implementations23 May 2014 Qi Xie, Deyu Meng, Shuhang Gu, Lei Zhang, WangMeng Zuo, Xiangchu Feng, Zongben Xu

Nevertheless, so far the global optimal solution of WNNM problem is not completely solved yet due to its non-convexity in general cases.

Image Denoising

A Kernel Classification Framework for Metric Learning

no code implementations23 Sep 2013 Faqiang Wang, WangMeng Zuo, Lei Zhang, Deyu Meng, David Zhang

Learning a distance metric from the given training samples plays a crucial role in many machine learning tasks, and various models and optimization algorithms have been proposed in the past decade.

Classification General Classification +1

Image Set based Collaborative Representation for Face Recognition

no code implementations30 Aug 2013 Pengfei Zhu, WangMeng Zuo, Lei Zhang, Simon C. K. Shiu, David Zhang

One key issue of ISFR is how to effectively and efficiently represent the query face image set by using the gallery face image sets.

Face Recognition General Classification

Texture Enhanced Image Denoising via Gradient Histogram Preservation

no code implementations CVPR 2013 Wangmeng Zuo, Lei Zhang, Chunwei Song, David Zhang

Image denoising is a classical yet fundamental problem in low level vision, as well as an ideal test bed to evaluate various statistical image modeling methods.

Image Denoising

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