activity
20202022
most citedAttention-based Dual Supervised Decoder for RGBD Semantic Segmentation

10 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022★ 10 cited

Attention-based Dual Supervised Decoder for RGBD Semantic Segmentation

Yang Zhang, Yang Yang, Chenyun Xiong +2

Encoder-decoder models have been widely used in RGBD semantic segmentation, and most of them are designed via a two-stream network. In general, jointly reasoning the color and geom…

cs.CV2021★ 1 cited

Adaptive Fusion Affinity Graph with Noise-free Online Low-rank Representation for Natural Image Segmentation

Yang Zhang, Moyun Liu, Huiming Zhang +2

Affinity graph-based segmentation methods have become a major trend in computer vision. The performance of these methods relies on the constructed affinity graph, with particular e…

cs.CV2021

A Unified Light Framework for Real-time Fault Detection of Freight Train Images

Yang Zhang, Moyun Liu, Yang Yang +2

Real-time fault detection for freight trains plays a vital role in guaranteeing the security and optimal operation of railway transportation under stringent resource requirements.…

cs.CV2020★ 2 cited

FA-GANs: Facial Attractiveness Enhancement with Generative Adversarial Networks on Frontal Faces

Jingwu He, Chuan Wang, Yang Zhang +2

Facial attractiveness enhancement has been an interesting application in Computer Vision and Graphics over these years. It aims to generate a more attractive face via manipulations…

cs.CV2020★ 2 cited

Affinity Fusion Graph-based Framework for Natural Image Segmentation

Yang Zhang, Moyun Liu, Jingwu He +2

This paper proposes an affinity fusion graph framework to effectively connect different graphs with highly discriminating power and nonlinearity for natural image segmentation. The…