activity
20182020
most citedLearning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time

270 citations · 357 across the 6 of their papers we have counts for

collaborators

6 papers

eess.IV2020★ 270 cited

Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time

Hui Zeng, Jianrui Cai, Lida Li +2

Recent years have witnessed the increasing popularity of learning based methods to enhance the color and tone of photos. However, many existing photo enhancement methods either del…

cs.CV2019★ 2 cited

Grid Anchor based Image Cropping: A New Benchmark and An Efficient Model

Hui Zeng, Lida Li, Zisheng Cao +1

Image cropping aims to improve the composition as well as aesthetic quality of an image by removing extraneous content from it. Most of the existing image cropping databases provid…

eess.IV2019★ 21 cited

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning

Zhetong Liang, Jianrui Cai, Zisheng Cao +1

Traditional image signal processing (ISP) pipeline consists of a set of individual image processing components onboard a camera to reconstruct a high-quality sRGB image from the se…

cs.CV2019★ 8 cited

Reliable and Efficient Image Cropping: A Grid Anchor based Approach

Hui Zeng, Lida Li, Zisheng Cao +1

Image cropping aims to improve the composition as well as aesthetic quality of an image by removing extraneous content from it. Existing image cropping databases provide only one o…

cs.CV2019★ 52 cited

Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model

Jianrui Cai, Hui Zeng, Hongwei Yong +2

Most of the existing learning-based single image superresolution (SISR) methods are trained and evaluated on simulated datasets, where the low-resolution (LR) images are generated…

cs.CV2018★ 4 cited

Learning a Single Tucker Decomposition Network for Lossy Image Compression with Multiple Bits-Per-Pixel Rates

Jianrui Cai, Zisheng Cao, Lei Zhang

Lossy image compression (LIC), which aims to utilize inexact approximations to represent an image more compactly, is a classical problem in image processing. Recently, deep convolu…