Xin Feng | DeepAI

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Featured Co-authors

Yang Zhang
141 publications
Yao Wang
89 publications
Yu-Wing Tai
83 publications
Xu Zhang
76 publications
David Zhang
58 publications
Wenjie Pei
42 publications
Zhan Ma
41 publications
M. Salman Asif
35 publications
Guangming Lu
33 publications
Zhihao Li
24 publications
Ming Lu
21 publications

∙ 08/27/2023

Hierarchical Contrastive Learning for Pattern-Generalizable Image Corruption Detection

Effective image restoration with large-size corruptions, such as blind i...

0 Xin Feng, et al. ∙

∙ 12/15/2022

Efficient Visual Computing with Camera RAW Snapshots

Conventional cameras capture image irradiance on a sensor and convert it...

0 Zhihao Li, et al. ∙

∙ 07/25/2022

Learning Generalizable Latent Representations for Novel Degradations in Super Resolution

Typical methods for blind image super-resolution (SR) focus on dealing w...

3 Fengjun Li, et al. ∙

∙ 07/20/2022

Learning Sequence Representations by Non-local Recurrent Neural Memory

The key challenge of sequence representation learning is to capture the ...

0 Wenjie Pei, et al. ∙

∙ 07/16/2022

Global-Local Stepwise Generative Network for Ultra High-Resolution Image Restoration

While the research on image background restoration from regular size of ...

0 Xin Feng, et al. ∙

∙ 12/04/2021

U2-Former: A Nested U-shaped Transformer for Image Restoration

While Transformer has achieved remarkable performance in various high-le...

0 Haobo Ji, et al. ∙

∙ 11/19/2021

Deep Domain Adaptation for Pavement Crack Detection

Deep learning-based pavement cracks detection methods often require larg...

5 Huijun Liu, et al. ∙

∙ 10/01/2021

Generative Memory-Guided Semantic Reasoning Model for Image Inpainting

Most existing methods for image inpainting focus on learning the intra-i...

0 Xin Feng, et al. ∙

∙ 10/09/2020

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

Restoring the clean background from the superimposed images containing a...

1 Xin Feng, et al. ∙

∙ 10/03/2020

Unsupervised Shadow Removal Using Target Consistency Generative Adversarial Network

Unsupervised shadow removal aims to learn a non-linear function to map t...

0 Chao Tan, et al. ∙

∙ 05/19/2019

FORECAST-CLSTM: A New Convolutional LSTM Network for Cloudage Nowcasting

With the highly demand of large-scale and real-time weather service for ...

0 Chao Tan, et al. ∙

∙ 02/04/2019

TrackNet: Simultaneous Object Detection and Tracking and Its Application in Traffic Video Analysis

Object detection and object tracking are usually treated as two separate...

6 Chenge Li, et al. ∙

∙ 12/10/2018

A context-based geoprocessing framework for optimizing meetup location of multiple moving objects along road networks

Given different types of constraints on human life, people must make dec...

0 Shaohua Wang, et al. ∙

∙ 02/10/2018

Local Contrast Learning

Learning a deep model from small data is yet an opening and challenging ...

0 Chuanyun Xu, et al. ∙

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