Search Results for author: Jungang Yang

Found 23 papers, 16 papers with code

AceMap: Knowledge Discovery through Academic Graph

no code implementations5 Mar 2024 Xinbing Wang, Luoyi Fu, Xiaoying Gan, Ying Wen, Guanjie Zheng, Jiaxin Ding, Liyao Xiang, Nanyang Ye, Meng Jin, Shiyu Liang, Bin Lu, Haiwen Wang, Yi Xu, Cheng Deng, Shao Zhang, Huquan Kang, Xingli Wang, Qi Li, Zhixin Guo, Jiexing Qi, Pan Liu, Yuyang Ren, Lyuwen Wu, Jungang Yang, Jianping Zhou, Chenghu Zhou

While existing scientific search engines excel at delivering search results based on relational databases, they often neglect the analysis of collaborations between scientific entities and the evolution of ideas, as well as the in-depth analysis of content within scientific publications.

Knowledge Graphs Reading Comprehension

NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results

1 code implementation20 Apr 2023 Yingqian Wang, Longguang Wang, Zhengyu Liang, Jungang Yang, Radu Timofte, Yulan Guo

In this report, we summarize the first NTIRE challenge on light field (LF) image super-resolution (SR), which aims at super-resolving LF images under the standard bicubic degradation with a magnification factor of 4.

Image Super-Resolution

Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution

1 code implementation ICCV 2023 Zhengyu Liang, Yingqian Wang, Longguang Wang, Jungang Yang, Shilin Zhou, Yulan Guo

Exploiting spatial-angular correlation is crucial to light field (LF) image super-resolution (SR), but is highly challenging due to its non-local property caused by the disparities among LF images.

Image Super-Resolution

MTU-Net: Multi-level TransUNet for Space-based Infrared Tiny Ship Detection

1 code implementation28 Sep 2022 Tianhao Wu, Boyang Li, Yihang Luo, Yingqian Wang, Chao Xiao, Ting Liu, Jungang Yang, Wei An, Yulan Guo

Due to the extremely large image coverage area (e. g., thousands square kilometers), candidate targets in these images are much smaller, dimer, more changeable than those targets observed by aerial-based and land-based imaging devices.

Data Augmentation

Real-World Light Field Image Super-Resolution via Degradation Modulation

3 code implementations13 Jun 2022 Yingqian Wang, Zhengyu Liang, Longguang Wang, Jungang Yang, Wei An, Yulan Guo

In our method, a practical LF degradation model is developed to formulate the degradation process of real LF images.

Image Super-Resolution

Dense Dual-Attention Network for Light Field Image Super-Resolution

no code implementations23 Oct 2021 Yu Mo, Yingqian Wang, Chao Xiao, Jungang Yang, Wei An

Light field (LF) images can be used to improve the performance of image super-resolution (SR) because both angular and spatial information is available.

Image Super-Resolution valid

Light Field Image Super-Resolution with Transformers

1 code implementation17 Aug 2021 Zhengyu Liang, Yingqian Wang, Longguang Wang, Jungang Yang, Shilin Zhou

With the proposed angular and spatial Transformers, the beneficial information in an LF can be fully exploited and the SR performance is boosted.

Image Super-Resolution

Selective Light Field Refocusing for Camera Arrays Using Bokeh Rendering and Superresolution

1 code implementation9 Aug 2021 Yingqian Wang, Jungang Yang, Yulan Guo, Chao Xiao, Wei An

In this letter, we propose a light field refocusing method to improve the imaging quality of camera arrays.

Non-Convex Tensor Low-Rank Approximation for Infrared Small Target Detection

1 code implementation31 May 2021 Ting Liu, Jungang Yang, Boyang Li, Chao Xiao, Yang Sun, Yingqian Wang, Wei An

Considering that different singular values have different importance and should be treated discriminatively, in this paper, we propose a non-convex tensor low-rank approximation (NTLA) method for infrared small target detection.

Improved Matrix Gaussian Mechanism for Differential Privacy

no code implementations30 Apr 2021 Jungang Yang, Liyao Xiang, Weiting Li, Wei Liu, Xinbing Wang

The wide deployment of machine learning in recent years gives rise to a great demand for large-scale and high-dimensional data, for which the privacy raises serious concern.

Certified Distributional Robustness via Smoothed Classifiers

no code implementations1 Jan 2021 Jungang Yang, Liyao Xiang, Ruidong Chen, Yukun Wang, Wei Wang, Xinbing Wang

We focus on certified robustness of smoothed classifiers in this work, and propose to use the worst-case population loss over noisy inputs as a robustness metric.

Symmetric Parallax Attention for Stereo Image Super-Resolution

1 code implementation7 Nov 2020 Yingqian Wang, Xinyi Ying, Longguang Wang, Jungang Yang, Wei An, Yulan Guo

Although recent years have witnessed the great advances in stereo image super-resolution (SR), the beneficial information provided by binocular systems has not been fully used.

Occlusion Handling Stereo Image Super-Resolution

Certified Distributional Robustness on Smoothed Classifiers

no code implementations21 Oct 2020 Jungang Yang, Liyao Xiang, Ruidong Chen, Yukun Wang, Wei Wang, Xinbing Wang

For smoothed classifiers, we propose the worst-case adversarial loss over input distributions as a robustness certificate.

Parallax Attention for Unsupervised Stereo Correspondence Learning

1 code implementation16 Sep 2020 Longguang Wang, Yulan Guo, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An

Based on our PAM, we propose a parallax-attention stereo matching network (PASMnet) and a parallax-attention stereo image super-resolution network (PASSRnet) for stereo matching and stereo image super-resolution tasks.

Stereo Image Super-Resolution Stereo Matching

Light Field Image Super-Resolution Using Deformable Convolution

1 code implementation7 Jul 2020 Yingqian Wang, Jungang Yang, Longguang Wang, Xinyi Ying, Tianhao Wu, Wei An, Yulan Guo

In this paper, we propose a deformable convolution network (i. e., LF-DFnet) to handle the disparity problem for LF image SR.

Image Super-Resolution

Spatial-Angular Interaction for Light Field Image Super-Resolution

1 code implementation17 Dec 2019 Yingqian Wang, Longguang Wang, Jungang Yang, Wei An, Jingyi Yu, Yulan Guo

Specifically, spatial and angular features are first separately extracted from input LFs, and then repetitively interacted to progressively incorporate spatial and angular information.

Image Super-Resolution SSIM

DeOccNet: Learning to See Through Foreground Occlusions in Light Fields

1 code implementation10 Dec 2019 Yingqian Wang, Tianhao Wu, Jungang Yang, Longguang Wang, Wei An, Yulan Guo

In this paper, we handle the LF de-occlusion (LF-DeOcc) problem using a deep encoder-decoder network (namely, DeOccNet).

Flickr1024: A Large-Scale Dataset for Stereo Image Super-Resolution

no code implementations15 Mar 2019 Yingqian Wang, Longguang Wang, Jungang Yang, Wei An, Yulan Guo

With the popularity of dual cameras in recently released smart phones, a growing number of super-resolution (SR) methods have been proposed to enhance the resolution of stereo image pairs.

Stereo Image Super-Resolution

Learning Parallax Attention for Stereo Image Super-Resolution

1 code implementation CVPR 2019 Longguang Wang, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An, Yulan Guo

Stereo image pairs can be used to improve the performance of super-resolution (SR) since additional information is provided from a second viewpoint.

Stereo Image Super-Resolution

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