Search Results for author: Xiaoming Li

Found 27 papers, 13 papers with code

Semantic-shape Adaptive Feature Modulation for Semantic Image Synthesis

1 code implementation CVPR 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

Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priors

2 code implementations26 Feb 2022 Chaofeng Chen, Xinyu Shi, Yipeng Qin, Xiaoming Li, Xiaoguang Han, Tao Yang, Shihui Guo

Unlike image-space methods, our FeMaSR restores HR images by matching distorted LR image {\it features} to their distortion-free HR counterparts in our pretrained HR priors, and decoding the matched features to obtain realistic HR images.

Blind Super-Resolution Image Super-Resolution +1

Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation

no code implementations8 Sep 2021 Geng-Xin Xu, Chen Liu, Jun Liu, Zhongxiang Ding, Feng Shi, Man Guo, Wei Zhao, Xiaoming Li, Ying WEI, Yaozong Gao, Chuan-Xian Ren, Dinggang Shen

Particularly, we propose a domain translator and align the heterogeneous data to the estimated class prototypes (i. e., class centers) in a hyper-sphere manifold.

Computed Tomography (CT) Domain Adaptation +1

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

Artificial Intelligence Enhanced Rapid and Efficient Diagnosis of Mycoplasma Pneumoniae Pneumonia in Children Patients

1 code implementation20 Feb 2021 Chenglin Pan, Kuan Yan, Xiao Liu, Yanjie Chen, Yanyan Luo, Xiaoming Li, Zhenguo Nie, Xinjun Liu

Artificial intelligence methods have been increasingly turning into a potentially powerful tool in the diagnosis and management of diseases.

Feature Importance

Measuring Global Multi-Scale Place Connectivity using Geotagged Social Media Data

1 code implementation8 Feb 2021 Zhenlong Li, Xiao Huang, Xinyue Ye, Yuqin Jiang, Martin Yago, Huan Ning, Michael E. Hodgson, Xiaoming Li

In this study, we introduced a global multi-scale place connectivity index (PCI) based on spatial interactions among places revealed by geotagged tweets as a spatiotemporal-continuous and easy-to-implement measurement.

Social and Information Networks

Progressive Semantic-Aware Style Transformation for Blind Face Restoration

1 code implementation CVPR 2021 Chaofeng Chen, Xiaoming Li, Lingbo Yang, Xianhui Lin, Lei Zhang, Kwan-Yee K. Wong

Compared with previous networks, the proposed PSFR-GAN makes full use of the semantic (parsing maps) and pixel (LQ images) space information from different scales of input pairs.

Blind Face Restoration Face Parsing +2

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

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.

Super-Resolution

A GRU-based Mixture Density Network for Data-Driven Dynamic Stochastic Programming

no code implementations26 Jun 2020 Xiaoming Li, Chun Wang, Xiao Huang, Yimin Nie

To fill the gap, in this work, we propose an innovative data-driven dynamic stochastic programming (DD-DSP) framework for time-series decision-making problem, which involves three components: GRU, Gaussian Mixture Model (GMM) and SP.

Decision Making Time Series

Enhanced Blind Face Restoration With Multi-Exemplar Images and Adaptive Spatial Feature Fusion

1 code implementation CVPR 2020 Xiaoming Li, Wenyu Li, Dongwei Ren, Hongzhi Zhang, Meng Wang, Wangmeng Zuo

First, given a degraded observation, we select the optimal guidance based on the weighted affine distance on landmark sets, where the landmark weights are learned to make the guidance image optimized to HQ image reconstruction.

Blind Face Restoration Image Reconstruction

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

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

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

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

Neural Generative Question Answering

1 code implementation WS 2016 Jun Yin, Xin Jiang, Zhengdong Lu, Lifeng Shang, Hang Li, Xiaoming Li

Empirical study shows the proposed model can effectively deal with the variations of questions and answers, and generate right and natural answers by referring to the facts in the knowledge-base.

Generative Question Answering Text Generation

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