most citedA Joint Convolutional Neural Networks and Context Transfer for Street Scenes Labeling

158 citations · 195 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CV2021

Open Set Domain Recognition via Attention-Based GCN and Semantic Matching Optimization

Xinxing He, Yuan Yuan, Zhiyu Jiang

Open set domain recognition has got the attention in recent years. The task aims to specifically classify each sample in the practical unlabeled target domain, which consists of al…

eess.IV2021

Weighted Hierarchical Sparse Representation for Hyperspectral Target Detection

Chenlu Wei, Zhiyu Jiang, Yuan Yuan

Hyperspectral target detection has been widely studied in the field of remote sensing. However, background dictionary building issue and the correlation analysis of target and back…

cs.CV2021

Self-supervised spectral matching network for hyperspectral target detection

Can Yao, Yuan Yuan, Zhiyu Jiang

Hyperspectral target detection is a pixel-level recognition problem. Given a few target samples, it aims to identify the specific target pixels such as airplane, vehicle, ship, fro…

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.CV20193 cited

Cross-Modal Message Passing for Two-stream Fusion

Dong Wang, Yuan Yuan, Qi Wang

Processing and fusing information among multi-modal is a very useful technique for achieving high performance in many computer vision problems. In order to tackle multi-modal infor…