most citedEmbedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection

244 citations · 883 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV20194 cited

PCC Net: Perspective Crowd Counting via Spatial Convolutional Network

Junyu Gao, Qi Wang, Xuelong Li

Crowd counting from a single image is a challenging task due to high appearance similarity, perspective changes and severe congestion. Many methods only focus on the local appearan…

cs.CV2019202 cited

Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification

Qi Wang, Xiange He, Xuelong Li

Hyperspectral image (HSI) classification, which aims to assign an accurate label for hyperspectral pixels, has drawn great interest in recent years. Although low rank representatio…

cs.CV2019244 cited

Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection

Qi Wang, Junyu Gao, Yuan Yuan

Road detection from the perspective of moving vehicles is a challenging issue in autonomous driving. Recently, many deep learning methods spring up for this task because they can e…

cs.CV2019158 cited

A Joint Convolutional Neural Networks and Context Transfer for Street Scenes Labeling

Qi Wang, Junyu Gao, Yuan Yuan

Street scene understanding is an essential task for autonomous driving. One important step towards this direction is scene labeling, which annotates each pixel in the images with a…

cs.CV201934 cited

Early Action Prediction with Generative Adversarial Networks

Dong Wang, Yuan Yuan, Qi Wang

Action Prediction is aimed to determine what action is occurring in a video as early as possible, which is crucial to many online applications, such as predicting a traffic acciden…

cs.CV20191 cited

Memory-Augmented Temporal Dynamic Learning for Action Recognition

Yuan Yuan, Dong Wang, Qi Wang

Human actions captured in video sequences contain two crucial factors for action recognition, i.e., visual appearance and motion dynamics. To model these two aspects, Convolutional…