activity
20192022
most citedLearning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time

270 citations · 289 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022★ 1 cited

Towards Robust 2D Convolution for Reliable Visual Recognition

Lida Li, Shuai Li, Kun Wang +2

2D convolution (Conv2d), which is responsible for extracting features from the input image, is one of the key modules of a convolutional neural network (CNN). However, Conv2d is vu…

cs.CV2021★ 8 cited

Spatial Feature Calibration and Temporal Fusion for Effective One-stage Video Instance Segmentation

Minghan Li, Shuai Li, Lida Li +1

Modern one-stage video instance segmentation networks suffer from two limitations. First, convolutional features are neither aligned with anchor boxes nor with ground-truth boundin…

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…

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…