Search Results for author: Wenqi Ren

Found 60 papers, 31 papers with code

Beyond Monocular Deraining: Stereo Image Deraining via Semantic Understanding

no code implementations ECCV 2020 Kaihao Zhang, Wenhan Luo, Wenqi Ren, Jingwen Wang Fang Zhao, Lin Ma , Hongdong Li

Moreover, even for single image based monocular deraining, many current methods fail to complete the task satisfactorily because they mostly rely on per pixel loss functions and ignoring semantic information.

Benchmarking Rain Removal +1

MixNet: Towards Effective and Efficient UHD Low-Light Image Enhancement

1 code implementation19 Jan 2024 Chen Wu, Zhuoran Zheng, Xiuyi Jia, Wenqi Ren

To capture the long-range dependency of features without introducing excessive computational complexity, we present the Global Feature Modulation Layer (GFML).

Image Restoration Low-Light Image Enhancement

MProto: Multi-Prototype Network with Denoised Optimal Transport for Distantly Supervised Named Entity Recognition

1 code implementation12 Oct 2023 Shuhui Wu, Yongliang Shen, Zeqi Tan, Wenqi Ren, Jietian Guo, ShiLiang Pu, Weiming Lu

Distantly supervised named entity recognition (DS-NER) aims to locate entity mentions and classify their types with only knowledge bases or gazetteers and unlabeled corpus.

named-entity-recognition Named Entity Recognition +1

Taxonomy Completion with Probabilistic Scorer via Box Embedding

1 code implementation18 May 2023 Wei Xue, Yongliang Shen, Wenqi Ren, Jietian Guo, ShiLiang Pu, Weiming Lu

Specifically, TaxBox consists of three components: (1) a graph aggregation module to leverage the structural information of the taxonomy and two lightweight decoders that map features to box embedding and capture complex relationships between concepts; (2) two probabilistic scorers that correspond to attachment and insertion operations and ensure the avoidance of pseudo-leaves; and (3) three learning objectives that assist the model in mapping concepts more granularly onto the box embedding space.

NightHazeFormer: Single Nighttime Haze Removal Using Prior Query Transformer

1 code implementation16 May 2023 Yun Liu, Zhongsheng Yan, Sixiang Chen, Tian Ye, Wenqi Ren, ErKang Chen

Extensive experiments on several synthetic and real-world datasets demonstrate the superiority of our NightHazeFormer over state-of-the-art nighttime haze removal methods in terms of both visually and quantitatively.

Image Dehazing

SCANet: Self-Paced Semi-Curricular Attention Network for Non-Homogeneous Image Dehazing

1 code implementation17 Apr 2023 Yu Guo, Yuan Gao, Ryan Wen Liu, Yuxu Lu, Jingxiang Qu, Shengfeng He, Wenqi Ren

The presence of non-homogeneous haze can cause scene blurring, color distortion, low contrast, and other degradations that obscure texture details.

Image Dehazing

Lightweight Image Super-Resolution with Superpixel Token Interaction

1 code implementation ICCV 2023 Aiping Zhang, Wenqi Ren, Yi Liu, Xiaochun Cao

Our method employs superpixels to cluster local similar pixels to form the explicable local regions and utilizes intra-superpixel attention to enable local information interaction.

Image Super-Resolution Superpixels

Focal Network for Image Restoration

1 code implementation ICCV 2023 Yuning Cui, Wenqi Ren, Xiaochun Cao, Alois Knoll

Image restoration aims to reconstruct a sharp image from its degraded counterpart, which plays an important role in many fields.

Deblurring Image Defocus Deblurring +2

Unpaired Overwater Image Defogging Using Prior Map Guided CycleGAN

no code implementations23 Dec 2022 Yaozong Mo, ChaoFeng Li, Wenqi Ren, Shaopeng Shang, Wenwu Wang, Xiao-Jun Wu

In this work, we propose a Prior map Guided CycleGAN (PG-CycleGAN) for defogging of images with overwater scenes.

Towards Generalization on Real Domain for Single Image Dehazing via Meta-Learning

no code implementations14 Nov 2022 Wenqi Ren, Qiyu Sun, Chaoqiang Zhao, Yang Tang

In contrast, we present a domain generalization framework based on meta-learning to dig out representative and discriminative internal properties of real hazy domains without test-time training.

Domain Generalization Image Dehazing +2

Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview

no code implementations13 Nov 2022 Wenqi Ren, Yang Tang, Qiyu Sun, Chaoqiang Zhao, Qing-Long Han

Specifically, the preliminaries on few/zero-shot visual semantic segmentation, including the problem definitions, typical datasets, and technical remedies, are briefly reviewed and discussed.

Segmentation Semantic Segmentation +3

Rethinking Image Restoration for Object Detection

1 code implementation NIPS 2022 Shangquan Sun, Wenqi Ren, Tao Wang, Xiaochun Cao

To address the issue, we propose a targeted adversarial attack in the restoration procedure to boost object detection performance after restoration.

Adversarial Attack Domain Adaptation +5

Learning Hierarchical Dynamics with Spatial Adjacency for Image Enhancement

1 code implementation ACMMM 2022 Yudong Liang, Bin Wang, Wenqi Ren, Jiaying Liu, Wenjian Wang, WangMeng Zuo

In various real-world image enhancement applications, the degradations are always non-uniform or non-homogeneous and diverse, which challenges most deep networks with fixed parameters during the inference phase.

Image Dehazing Low-Light Image Enhancement +1

Cylin-Painting: Seamless {360\textdegree} Panoramic Image Outpainting and Beyond

1 code implementation18 Apr 2022 Kang Liao, Xiangyu Xu, Chunyu Lin, Wenqi Ren, Yunchao Wei, Yao Zhao

Motivated by this analysis, we present a Cylin-Painting framework that involves meaningful collaborations between inpainting and outpainting and efficiently fuses the different arrangements, with a view to leveraging their complementary benefits on a seamless cylinder.

Depth Estimation Image Outpainting +3

High-resolution Iterative Feedback Network for Camouflaged Object Detection

1 code implementation22 Mar 2022 Xiaobin Hu, Shuo Wang, Xuebin Qin, Hang Dai, Wenqi Ren, Ying Tai, Chengjie Wang, Ling Shao

Spotting camouflaged objects that are visually assimilated into the background is tricky for both object detection algorithms and humans who are usually confused or cheated by the perfectly intrinsic similarities between the foreground objects and the background surroundings.

Object object-detection +2

Memory-augmented Deep Unfolding Network for Guided Image Super-resolution

no code implementations12 Feb 2022 Man Zhou, Keyu Yan, Jinshan Pan, Wenqi Ren, Qi Xie, Xiangyong Cao

Guided image super-resolution (GISR) aims to obtain a high-resolution (HR) target image by enhancing the spatial resolution of a low-resolution (LR) target image under the guidance of a HR image.

Image Super-Resolution

Deep Image Deblurring: A Survey

no code implementations26 Jan 2022 Kaihao Zhang, Wenqi Ren, Wenhan Luo, Wei-Sheng Lai, Bjorn Stenger, Ming-Hsuan Yang, Hongdong Li

Image deblurring is a classic problem in low-level computer vision with the aim to recover a sharp image from a blurred input image.

Deblurring Image Deblurring

Image Dehazing Transformer With Transmission-Aware 3D Position Embedding

2 code implementations CVPR 2022 Chun-Le Guo, Qixin Yan, Saeed Anwar, Runmin Cong, Wenqi Ren, Chongyi Li

Though Transformer has occupied various computer vision tasks, directly leveraging Transformer for image dehazing is challenging: 1) it tends to result in ambiguous and coarse details that are undesired for image reconstruction; 2) previous position embedding of Transformer is provided in logic or spatial position order that neglects the variational haze densities, which results in the sub-optimal dehazing performance.

Image Dehazing Image Reconstruction +2

MC-Blur: A Comprehensive Benchmark for Image Deblurring

2 code implementations1 Dec 2021 Kaihao Zhang, Tao Wang, Wenhan Luo, Boheng Chen, Wenqi Ren, Bjorn Stenger, Wei Liu, Hongdong Li, Ming-Hsuan Yang

Blur artifacts can seriously degrade the visual quality of images, and numerous deblurring methods have been proposed for specific scenarios.

Benchmarking Deblurring +1

A survey on computational spectral reconstruction methods from RGB to hyperspectral imaging

no code implementations30 Jun 2021 Jingang Zhang, Runmu Su, Wenqi Ren, Qiang Fu, Felix Heide, Yunfeng Nie

We present a thorough investigation of these state-of-the-art spectral reconstruction methods from the widespread RGB images.

Spectral Reconstruction

Ultra-High-Definition Image Dehazing via Multi-Guided Bilateral Learning

1 code implementation CVPR 2021 Zhuoran Zheng, Wenqi Ren, Xiaochun Cao, Xiaobin Hu, Tao Wang, Fenglong Song, Xiuyi Jia

To address the problem, we propose a novel network capable of real-time dehazing of 4K images on a single GPU, which consists of three deep CNNs.

Image Dehazing Single Image Dehazing +1

A Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep Learning

1 code implementation7 Jun 2021 Jie Gui, Xiaofeng Cong, Yuan Cao, Wenqi Ren, Jun Zhang, Jing Zhang, Jiuxin Cao, DaCheng Tao

With the development of convolutional neural networks, hundreds of deep learning based dehazing methods have been proposed.

Image Dehazing Single Image Dehazing

Reciprocal Feature Learning via Explicit and Implicit Tasks in Scene Text Recognition

1 code implementation13 May 2021 Hui Jiang, Yunlu Xu, Zhanzhan Cheng, ShiLiang Pu, Yi Niu, Wenqi Ren, Fei Wu, Wenming Tan

In this work, we excavate the implicit task, character counting within the traditional text recognition, without additional labor annotation cost.

Optical Character Recognition (OCR) Scene Text Recognition

LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment

1 code implementation13 May 2021 Liang Qiao, Zaisheng Li, Zhanzhan Cheng, Peng Zhang, ShiLiang Pu, Yi Niu, Wenqi Ren, Wenming Tan, Fei Wu

In this paper, we aim to obtain more reliable aligned bounding boxes by fully utilizing the visual information from both text regions in proposed local features and cell relations in global features.

Table Recognition

Beyond Monocular Deraining: Parallel Stereo Deraining Network Via Semantic Prior

no code implementations9 May 2021 Kaihao Zhang, Wenhan Luo, Yanjiang Yu, Wenqi Ren, Fang Zhao, Changsheng Li, Lin Ma, Wei Liu, Hongdong Li

We first use a coarse deraining network to reduce the rain streaks on the input images, and then adopt a pre-trained semantic segmentation network to extract semantic features from the coarse derained image.

Benchmarking Rain Removal +1

Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding

5 code implementations27 Apr 2021 Chongyi Li, Saeed Anwar, Junhui Hou, Runmin Cong, Chunle Guo, Wenqi Ren

As a result, our network can effectively improve the visual quality of underwater images by exploiting multiple color spaces embedding and the advantages of both physical model-based and learning-based methods.

Ranked #2 on Underwater Image Restoration on LSUI (using extra training data)

Image Enhancement Underwater Image Restoration

Enhanced Spatio-Temporal Interaction Learning for Video Deraining: A Faster and Better Framework

1 code implementation23 Mar 2021 Kaihao Zhang, Dongxu Li, Wenhan Luo, Wenqi Ren, Wei Liu

Video deraining is an important task in computer vision as the unwanted rain hampers the visibility of videos and deteriorates the robustness of most outdoor vision systems.

Rain Removal

Dual Attention-in-Attention Model for Joint Rain Streak and Raindrop Removal

no code implementations12 Mar 2021 Kaihao Zhang, Dongxu Li, Wenhan Luo, Wenqi Ren

In addition, to further refine the result, a Differential-driven Dual Attention-in-Attention Model (D-DAiAM) is proposed with a "heavy-to-light" scheme to remove rain via addressing the unsatisfying deraining regions.

Rain Removal

Self-Supervised Noisy Label Learning for Source-Free Unsupervised Domain Adaptation

no code implementations23 Feb 2021 WeiJie Chen, Luojun Lin, Shicai Yang, Di Xie, ShiLiang Pu, Yueting Zhuang, Wenqi Ren

Usually, the given source domain pre-trained model is expected to optimize with only unlabeled target data, which is termed as source-free unsupervised domain adaptation.

Self-Supervised Learning Unsupervised Domain Adaptation

Progressive Depth Learning for Single Image Dehazing

no code implementations21 Feb 2021 Yudong Liang, Bin Wang, Jiaying Liu, Deyu Li, Sanping Zhou, Wenqi Ren

However, we note that the guidance of the depth information for transmission estimation could remedy the decreased visibility as distances increase.

Depth Estimation Depth Prediction +2

Multi-Scale Separable Network for Ultra-High-Definition Video Deblurring

1 code implementation ICCV 2021 Senyou Deng, Wenqi Ren, Yanyang Yan, Tao Wang, Fenglong Song, Xiaochun Cao

Although recent research has witnessed a significant progress on the video deblurring task, these methods struggle to reconcile inference efficiency and visual quality simultaneously, especially on ultra-high-definition (UHD) videos (e. g., 4K resolution).

Deblurring Vocal Bursts Intensity Prediction

Face Super-Resolution Guided by 3D Facial Priors

1 code implementation ECCV 2020 Xiaobin Hu, Wenqi Ren, John LaMaster, Xiaochun Cao, Xiaoming Li, Zechao Li, Bjoern Menze, Wei Liu

State-of-the-art face super-resolution methods employ deep convolutional neural networks to learn a mapping between low- and high- resolution facial patterns by exploring local appearance knowledge.


Feedback Graph Attention Convolutional Network for Medical Image Enhancement

no code implementations24 Jun 2020 Xiaobin Hu, Yanyang Yan, Wenqi Ren, Hongwei Li, Yu Zhao, Amirhossein Bayat, Bjoern Menze

To well exploit global structural information and texture details, we propose a novel biomedical image enhancement network, named Feedback Graph Attention Convolutional Network (FB-GACN).

Graph Attention Graph Similarity +3

Domain Adaptation for Image Dehazing

1 code implementation CVPR 2020 Yuanjie Shao, Lerenhan Li, Wenqi Ren, Changxin Gao, Nong Sang

By training image translation and dehazing network in an end-to-end manner, we can obtain better effects of both image translation and dehazing.

Domain Adaptation Image Dehazing +1

DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation

no code implementations CVPR 2021 Xiong Zhang, Hongmin Xu, Hong Mo, Jianchao Tan, Cheng Yang, Lei Wang, Wenqi Ren

Neural Architecture Search (NAS) has shown great potentials in automatically designing scalable network architectures for dense image predictions.

Ranked #13 on Semantic Segmentation on Cityscapes test (using extra training data)

Image Segmentation Neural Architecture Search +1

Face Video Deblurring Using 3D Facial Priors

no code implementations ICCV 2019 Wenqi Ren, Jiaolong Yang, Senyou Deng, David Wipf, Xiaochun Cao, Xin Tong

The model consists of two main branches: i) a face video deblurring sub-network based on an encoder-decoder architecture, and ii) a 3D face reconstruction and rendering branch for predicting 3D priors of salient facial structures and identity knowledge.

3D Face Reconstruction Deblurring

UG$^{2+}$ Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments

no code implementations9 Apr 2019 Ye Yuan, Wenhan Yang, Wenqi Ren, Jiaying Liu, Walter J. Scheirer, Zhangyang Wang

The UG$^{2+}$ challenge in IEEE CVPR 2019 aims to evoke a comprehensive discussion and exploration about how low-level vision techniques can benefit the high-level automatic visual recognition in various scenarios.

Face Detection

Single Image Deraining: A Comprehensive Benchmark Analysis

1 code implementation CVPR 2019 Siyuan Li, Iago Breno Araujo, Wenqi Ren, Zhangyang Wang, Eric K. Tokuda, Roberto Hirata Junior, Roberto Cesar-Junior, Jiawan Zhang, Xiaojie Guo, Xiaochun Cao

We present a comprehensive study and evaluation of existing single image deraining algorithms, using a new large-scale benchmark consisting of both synthetic and real-world rainy images. This dataset highlights diverse data sources and image contents, and is divided into three subsets (rain streak, rain drop, rain and mist), each serving different training or evaluation purposes.

Single Image Deraining

An Underwater Image Enhancement Benchmark Dataset and Beyond

1 code implementation11 Jan 2019 Chongyi Li, Chunle Guo, Wenqi Ren, Runmin Cong, Junhui Hou, Sam Kwong, DaCheng Tao

In this paper, we construct an Underwater Image Enhancement Benchmark (UIEB) including 950 real-world underwater images, 890 of which have the corresponding reference images.

Ranked #5 on Underwater Image Restoration on LSUI (using extra training data)

Image Enhancement Underwater Image Restoration

Unsupervised Degradation Learning for Single Image Super-Resolution

no code implementations11 Dec 2018 Tianyu Zhao, Wenqi Ren, Changqing Zhang, Dongwei Ren, QinGhua Hu

Specifically, we propose a degradation network to model the real-world degradation process from HR to LR via generative adversarial networks, and these generated realistic LR images paired with real-world HR images are exploited for training the SR reconstruction network, forming the first cycle.

Image Super-Resolution

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.


Rendering Portraitures from Monocular Camera and Beyond

no code implementations ECCV 2018 Xiangyu Xu, Deqing Sun, Sifei Liu, Wenqi Ren, Yu-Jin Zhang, Ming-Hsuan Yang, Jian Sun

Specifically, we first exploit Convolutional Neural Networks to estimate the relative depth and portrait segmentation maps from a single input image.

Image Matting Portrait Segmentation +1

Improved Techniques for Learning to Dehaze and Beyond: A Collective Study

1 code implementation30 Jun 2018 Yu Liu, Guanlong Zhao, Boyuan Gong, Yang Li, Ritu Raj, Niraj Goel, Satya Kesav, Sandeep Gottimukkala, Zhangyang Wang, Wenqi Ren, DaCheng Tao

Here we explore two related but important tasks based on the recently released REalistic Single Image DEhazing (RESIDE) benchmark dataset: (i) single image dehazing as a low-level image restoration problem; and (ii) high-level visual understanding (e. g., object detection) of hazy images.

Image Dehazing Image Restoration +4

Learning to Deblur Images with Exemplars

no code implementations15 May 2018 Jinshan Pan, Wenqi Ren, Zhe Hu, Ming-Hsuan Yang

However, existing methods are less effective as only few edges can be restored from blurry face images for kernel estimation.

Deblurring Image Deblurring

Fast Single Image Rain Removal via a Deep Decomposition-Composition Network

no code implementations8 Apr 2018 Siyuan LI, Wenqi Ren, Jiawan Zhang, Jinke Yu, Xiaojie Guo

Rain effect in images typically is annoying for many multimedia and computer vision tasks.

Rain Removal

Benchmarking Single Image Dehazing and Beyond

1 code implementation12 Dec 2017 Boyi Li, Wenqi Ren, Dengpan Fu, DaCheng Tao, Dan Feng, Wen-Jun Zeng, Zhangyang Wang

We present a comprehensive study and evaluation of existing single image dehazing algorithms, using a new large-scale benchmark consisting of both synthetic and real-world hazy images, called REalistic Single Image DEhazing (RESIDE).

Benchmarking Image Dehazing +1

Video Deblurring via Semantic Segmentation and Pixel-Wise Non-Linear Kernel

no code implementations ICCV 2017 Wenqi Ren, Jinshan Pan, Xiaochun Cao, Ming-Hsuan Yang

We analyze the relationship between motion blur trajectory and optical flow, and present a novel pixel-wise non-linear kernel model to account for motion blur.

Deblurring Optical Flow Estimation +1

SketchNet: Sketch Classification With Web Images

no code implementations CVPR 2016 Hua Zhang, Si Liu, Changqing Zhang, Wenqi Ren, Rui Wang, Xiaochun Cao

In this study, we present a weakly supervised approach that discovers the discriminative structures of sketch images, given pairs of sketch images and web images.

Classification General Classification

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