activity
20182022
most citedDual Semantic Fusion Network for Video Object Detection

29 citations · 41 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV20213 cited

Crossover Learning for Fast Online Video Instance Segmentation

Shusheng Yang, Yuxin Fang, Xinggang Wang +5

Modeling temporal visual context across frames is critical for video instance segmentation (VIS) and other video understanding tasks. In this paper, we propose a fast online VIS mo…

cs.CV20205 cited

Two-Stage Single Image Reflection Removal with Reflection-Aware Guidance

Yu Li, Ming Liu, Yaling Yi +3

Removing undesired reflection from an image captured through a glass surface is a very challenging problem with many practical application scenarios. For improving reflection remov…

cs.CV202029 cited

Dual Semantic Fusion Network for Video Object Detection

Lijian Lin, Haosheng Chen, Honglun Zhang +4

Video object detection is a tough task due to the deteriorated quality of video sequences captured under complex environments. Currently, this area is dominated by a series of feat…

cs.CV2020

Fast Video Object Segmentation using the Global Context Module

Yu Li, Zhuoran Shen, Ying Shan

We developed a real-time, high-quality semi-supervised video object segmentation algorithm. Its accuracy is on par with the most accurate, time-consuming online-learning model, whi…

eess.IV2019

Attention Guided Low-light Image Enhancement with a Large Scale Low-light Simulation Dataset

Feifan Lv, Yu Li, Feng Lu

Low-light image enhancement is challenging in that it needs to consider not only brightness recovery but also complex issues like color distortion and noise, which usually hide in…

cs.CV2018

Detail Preserving Depth Estimation from a Single Image Using Attention Guided Networks

Zhixiang Hao, Yu Li, Shaodi You +1

Convolutional Neural Networks have demonstrated superior performance on single image depth estimation in recent years. These works usually use stacked spatial pooling or strided co…