1 code implementation • 16 Jan 2024 • Zida Chen, Ziran Zhang, Haoying Li, Menghao Li, Yueting Chen, Qi Li, Huajun Feng, Zhihai Xu, Shiqi Chen
Both the proposed JARNet and LAP image synthesis pipeline establish a foundation for addressing this intricate challenge.
no code implementations • 8 Sep 2023 • Jingwen Zhou, Shiqi Chen, Zheng Ren, Wenguan Zhang, Jiapu Yan, Huajun Feng, Qi Li, Yueting Chen
The joint design of the optical system and the downstream algorithm is a challenging and promising task.
no code implementations • 28 Jun 2023 • Zheyan Jin, Shiqi Chen, Huajun Feng, Zhihai Xu, Yueting Chen
The procedure is comprehensive, where the similarity of scattered flares and the symmetric effect of reflected ghosts are realized.
no code implementations • 28 Jun 2023 • Zheyan Jin, Shiqi Chen, Yueting Chen, Zhihai Xu, Huajun Feng
Therefore, we propose a framework to integrate large-model prior into low-level computer vision tasks.
no code implementations • 25 Jun 2023 • Haoying Li, Jixin Zhao, Shangchen Zhou, Huajun Feng, Chongyi Li, Chen Change Loy
Existing image deblurring methods predominantly focus on global deblurring, inadvertently affecting the sharpness of backgrounds in locally blurred images and wasting unnecessary computation on sharp pixels, especially for high-resolution images.
no code implementations • 10 May 2023 • Shiqi Chen, Ting Lin, Huajun Feng, Zhihai Xu, Qi Li, Yueting Chen
Correcting the optical aberrations and the manufacturing deviations of cameras is a challenging task.
1 code implementation • 10 May 2023 • Shiqi Chen, Huajun Feng, Dexin Pan, Zhihai Xu, Qi Li, Yueting Chen
Due to the spatial variation in optical aberrations, which cannot be avoided during the lens design process, recent commercial cameras have shifted some of these correction tasks from optical design to postprocessing systems.
no code implementations • 16 Mar 2023 • Zheyan Jin, Shiqi Chen, Huajun Feng, Zhihai Xu, Qi Li, Yueting Chen
In order to obtain real shot data in different scenes, we used fog generators, array cameras, mobile phones, underwater cameras and drones to obtain haze data.
1 code implementation • Optics Express 2022 • Ting Lin, Shiqi Chen, Huajun Feng, Zhihai Xu, Qi Li, Yueting Chen
In mobile photography applications, limited volume constraints the diversity of optical design.
no code implementations • 18 Apr 2022 • Haoying Li, Ziran Zhang, Tingting Jiang, Peng Luo, Huajun Feng, Zhihai Xu
Most existing deblurring methods focus on removing global blur caused by camera shake, while they cannot well handle local blur caused by object movements.
no code implementations • 23 Aug 2021 • Jiangmiao Pang, Kai Chen, Qi Li, Zhihai Xu, Huajun Feng, Jianping Shi, Wanli Ouyang, Dahua Lin
In this work, we carefully revisit the standard training practice of detectors, and find that the detection performance is often limited by the imbalance during the training process, which generally consists in three levels - sample level, feature level, and objective level.
no code implementations • 24 Jun 2021 • Zhuang He, Qi Li, Huajun Feng, Zhihai Xu
Then, the color and location probability map of the moving area will be calculated through maximum a posteriori probability.
2 code implementations • 30 Apr 2021 • Haoying Li, Yifan Yang, Meng Chang, Huajun Feng, Zhihai Xu, Qi Li, Yueting Chen
Single image super-resolution (SISR) aims to reconstruct high-resolution (HR) images from the given low-resolution (LR) ones, which is an ill-posed problem because one LR image corresponds to multiple HR images.
1 code implementation • ICCV 2021 • Shiqi Chen, Huajun Feng, Keming Gao, Zhihai Xu, Yueting Chen
To meet the space limitation of optical elements, free-form surfaces or high-order aspherical lenses are adopted in mobile cameras to compress volume.
no code implementations • 1 Jul 2020 • Meng Chang, Huajun Feng, Zhihai Xu, Qi Li
Using our data generation method and the proposed LSFNet, we can recover the details and color of the original scene, and improve the low-light image quality effectively.
no code implementations • 24 Feb 2020 • Meng Chang, Chenwei Yang, Huajun Feng, Zhihai Xu, Qi Li
In this paper, we propose a novel method to handle camera motion blur with outliers.
2 code implementations • ECCV 2020 • Meng Chang, Qi Li, Huajun Feng, Zhihai Xu
An encoder-decoder structure with a context block is introduced to capture multiscale information.
Ranked #8 on Image Denoising on DND (using extra training data)
6 code implementations • CVPR 2019 • Jiangmiao Pang, Kai Chen, Jianping Shi, Huajun Feng, Wanli Ouyang, Dahua Lin
In this work, we carefully revisit the standard training practice of detectors, and find that the detection performance is often limited by the imbalance during the training process, which generally consists in three levels - sample level, feature level, and objective level.
Ranked #160 on Object Detection on COCO test-dev
no code implementations • 16 Feb 2019 • Jiangmiao Pang, Cong Li, Jianping Shi, Zhihai Xu, Huajun Feng
To tackle these problems, we propose a unified and self-reinforced network called remote sensing region-based convolutional neural network ($\mathcal{R}^2$-CNN), composing of backbone Tiny-Net, intermediate global attention block, and final classifier and detector.