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20172023
most citedUnderwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding

1k citations · 3.1k across the 35 of their papers we have counts for

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Showing 2020Show all

8 papers · 1 filter

cs.CV2020★ 348 cited

Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images

Qijian Zhang, Runmin Cong, Chongyi Li +5

Despite the remarkable advances in visual saliency analysis for natural scene images (NSIs), salient object detection (SOD) for optical remote sensing images (RSIs) still remains a…

cs.CV2020★ 10 cited

CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection

Qijian Zhang, Runmin Cong, Junhui Hou +2

Co-Salient Object Detection (CoSOD) aims at discovering salient objects that repeatedly appear in a given query group containing two or more relevant images. One challenging issue…

cs.CV2020★ 9 cited

Flexible Piecewise Curves Estimation for Photo Enhancement

Chongyi Li, Chunle Guo, Qiming Ai +2

This paper presents a new method, called FlexiCurve, for photo enhancement. Unlike most existing methods that perform image-to-image mapping, which requires expensive pixel-wise re…

cs.CV2020★ 107 cited

A Parallel Down-Up Fusion Network for Salient Object Detection in Optical Remote Sensing Images

Chongyi Li, Runmin Cong, Chunle Guo +4

The diverse spatial resolutions, various object types, scales and orientations, and cluttered backgrounds in optical remote sensing images (RSIs) challenge the current salient obje…

eess.IV2020

NuI-Go: Recursive Non-Local Encoder-Decoder Network for Retinal Image Non-Uniform Illumination Removal

Chongyi Li, Huazhu Fu, Runmin Cong +2

Retinal images have been widely used by clinicians for early diagnosis of ocular diseases. However, the quality of retinal images is often clinically unsatisfactory due to eye lesi…

cs.CV2020★ 38 cited

Image Colorization: A Survey and Dataset

Saeed Anwar, Muhammad Tahir, Chongyi Li +3

Image colorization estimates RGB colors for grayscale images or video frames to improve their aesthetic and perceptual quality. Over the last decade, deep learning techniques for i…