Search Results for author: Zhihai Xu

Found 16 papers, 6 papers with code

Toward Real Flare Removal: A Comprehensive Pipeline and A New Benchmark

no code implementations28 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.

Flare Removal

Let Segment Anything Help Image Dehaze

no code implementations28 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.

Image Segmentation Language Modelling +2

Optical Aberration Correction in Postprocessing using Imaging Simulation

1 code implementation10 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.

Computational Optics for Mobile Terminals in Mass Production

no code implementations10 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.

Reliable Image Dehazing by NeRF

no code implementations16 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.

Image Dehazing

Real-World Deep Local Motion Deblurring

no code implementations18 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.


Towards Balanced Learning for Instance Recognition

no code implementations23 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.

Class agnostic moving target detection by color and location prediction of moving area

no code implementations24 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.

Optical Flow Estimation

SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models

2 code implementations30 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.

Image Manipulation Image Super-Resolution

Extreme-Quality Computational Imaging via Degradation Framework

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.

Low-light Image Restoration with Short- and Long-exposure Raw Pairs

no code implementations1 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.

Image Restoration

Spatial-Adaptive Network for Single Image Denoising

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)

Decoder Image Denoising

R$^2$-CNN: Fast Tiny Object Detection in Large-Scale Remote Sensing Images

no code implementations16 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.

object-detection Object Detection

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