Search Results for author: Xiaojie Guo

Found 27 papers, 12 papers with code

Trash or Treasure? An Interactive Dual-Stream Strategy for Single Image Reflection Separation

1 code implementation20 Oct 2021 Qiming Hu, Xiaojie Guo

Single image reflection separation (SIRS), as a representative blind source separation task, aims to recover two layers, $\textit{i. e.}$, transmission and reflection, from one mixed observation, which is challenging due to the highly ill-posed nature.

Graph Neural Networks for Natural Language Processing: A Survey

1 code implementation10 Jun 2021 Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo, Hanning Gao, Shucheng Li, Jian Pei, Bo Long

Deep learning has become the dominant approach in coping with various tasks in Natural LanguageProcessing (NLP).

graph construction Graph Representation Learning

Bilateral attention decoder: A lightweight decoder for real-time semantic segmentation

no code implementations30 Jan 2021 Chengli Peng, Jiayi Ma, Chen Chen, Xiaojie Guo

To verify the efficiency of the proposed bilateral attention decoder, we adopt a lightweight network as the backbone and compare our proposed method with other state-of-the-art real-time semantic segmentation methods on the Cityscapes and Camvid datasets.

Real-Time Semantic Segmentation

Property Controllable Variational Autoencoder via Invertible Mutual Dependence

no code implementations ICLR 2021 Xiaojie Guo, Yuanqi Du, Liang Zhao

Deep generative models have made important progress towards modeling complex, high dimensional data via learning latent representations.

A Systematic Survey on Deep Generative Models for Graph Generation

no code implementations13 Jul 2020 Xiaojie Guo, Liang Zhao

Graphs are important data representations for describing objects and their relationships, which appear in a wide diversity of real-world scenarios.

Graph Generation

Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement

1 code implementation9 Jun 2020 Xiaojie Guo, Liang Zhao, Zhao Qin, Lingfei Wu, Amarda Shehu, Yanfang Ye

Disentangled representation learning has recently attracted a significant amount of attention, particularly in the field of image representation learning.

Graph Generation Representation Learning

Generating Tertiary Protein Structures via an Interpretative Variational Autoencoder

no code implementations8 Apr 2020 Xiaojie Guo, Yuanqi Du, Sivani Tadepalli, Liang Zhao, Amarda Shehu

Much scientific enquiry across disciplines is founded upon a mechanistic treatment of dynamic systems that ties form to function.

Protein Structure Prediction Stochastic Optimization

Deep Multi-attributed Graph Translation with Node-Edge Co-evolution

1 code implementation22 Mar 2020 Xiaojie Guo, Liang Zhao, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao

Then, a spectral graph regularization based on our non-parametric graph Laplacian is proposed in order to learn and maintain the consistency of the predicted nodes and edges.


LaFIn: Generative Landmark Guided Face Inpainting

1 code implementation26 Nov 2019 Yang Yang, Xiaojie Guo, Jiayi Ma, Lin Ma, Haibin Ling

It is challenging to inpaint face images in the wild, due to the large variation of appearance, such as different poses, expressions and occlusions.

Facial Inpainting

EDIT: Exemplar-Domain Aware Image-to-Image Translation

1 code implementation24 Nov 2019 Yuanbin Fu, Jiayi Ma, Lin Ma, Xiaojie Guo

The principle behind is that, for images from multiple domains, the content features can be obtained by a uniform extractor, while (re-)stylization is achieved by mapping the extracted features specifically to different purposes (domains and exemplars).

Image-to-Image Translation Translation

Multi-stage Deep Classifier Cascades for Open World Recognition

1 code implementation26 Aug 2019 Xiaojie Guo, Amir Alipour-Fanid, Lingfei Wu, Hemant Purohit, Xiang Chen, Kai Zeng, Liang Zhao

At present, object recognition studies are mostly conducted in a closed lab setting with classes in test phase typically in training phase.

Object Recognition

Kindling the Darkness: A Practical Low-light Image Enhancer

3 code implementations4 May 2019 Yonghua Zhang, Jiawan Zhang, Xiaojie Guo

It is worth to note that our network is trained with paired images shot under different exposure conditions, instead of using any ground-truth reflectance and illumination information.

Low-Light Image Enhancement

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

PFLD: A Practical Facial Landmark Detector

14 code implementations28 Feb 2019 Xiaojie Guo, Siyuan Li, Jinke Yu, Jiawan Zhang, Jiayi Ma, Lin Ma, Wei Liu, Haibin Ling

Being accurate, efficient, and compact is essential to a facial landmark detector for practical use.

Face Alignment Facial Landmark Detection

Deep Graph Translation

2 code implementations25 May 2018 Xiaojie Guo, Lingfei Wu, Liang Zhao

To achieve this, we propose a novel Graph-Translation-Generative Adversarial Networks (GT-GAN) which will generate a graph translator from input to target graphs.


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

LIME: A Method for Low-light IMage Enhancement

no code implementations17 May 2016 Xiaojie Guo

When one captures images in low-light conditions, the images often suffer from low visibility.

Low-Light Image Enhancement

Exclusivity Regularized Machine

no code implementations28 Mar 2016 Xiaojie Guo

It has been recognized that the diversity of base learners is of utmost importance to a good ensemble.

Adaptively Unified Semi-Supervised Dictionary Learning With Active Points

no code implementations ICCV 2015 Xiaobo Wang, Xiaojie Guo, Stan Z. Li

In this paper, we present a novel semi-supervised dictionary learning method, which uses the informative coding vectors of both labeled and unlabeled data, and adaptively emphasizes the high confidence coding vectors of unlabeled data to enhance the dictionary discriminative capability simultaneously.

Dictionary Learning

Visual Data Deblocking using Structural Layer Priors

no code implementations6 Jul 2015 Xiaojie Guo

The blocking artifact frequently appears in compressed real-world images or video sequences, especially coded at low bit rates, which is visually annoying and likely hurts the performance of many computer vision algorithms.

Generalized Tensor Total Variation Minimization for Visual Data Recovery

no code implementations CVPR 2015 Xiaojie Guo, Yi Ma

In this paper, we propose a definition of Generalized Tensor Total Variation norm (GTV) that considers both the inhomogeneity and the multi-directionality of responses to derivative-like filters.


Robust Separation of Reflection from Multiple Images

no code implementations CVPR 2014 Xiaojie Guo, Xiaochun Cao, Yi Ma

When one records a video/image sequence through a transparent medium (e. g. glass), the image is often a superposition of a transmitted layer (scene behind the medium) and a reflected layer.

Video Editing with Temporal, Spatial and Appearance Consistency

no code implementations CVPR 2013 Xiaojie Guo, Xiaochun Cao, Xiaowu Chen, Yi Ma

Given an area of interest in a video sequence, one may want to manipulate or edit the area, e. g. remove occlusions from or replace with an advertisement on it.

Rectification Video Editing

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