activity
20182020
most citedColorNet: Investigating the importance of color spaces for image classification

22 citations · 26 across the 3 of their papers we have counts for

collaborators

7 papers

cs.CV20202 cited

HOSE-Net: Higher Order Structure Embedded Network for Scene Graph Generation

Meng Wei, Chun Yuan, Xiaoyu Yue +1

Scene graph generation aims to produce structured representations for images, which requires to understand the relations between objects. Due to the continuous nature of deep neura…

cs.CV2020

Using an ensemble color space model to tackle adversarial examples

Shreyank N Gowda, Chun Yuan

Minute pixel changes in an image drastically change the prediction that the deep learning model makes. One of the most significant problems that could arise due to this, for instan…

cs.CV2019

Multi-Frame Content Integration with a Spatio-Temporal Attention Mechanism for Person Video Motion Transfer

Kun Cheng, Hao-Zhi Huang, Chun Yuan +2

Existing person video generation methods either lack the flexibility in controlling both the appearance and motion, or fail to preserve detailed appearance and temporal consistency…

cs.CV20192 cited

Fast Registration for cross-source point clouds by using weak regional affinity and pixel-wise refinement

Xiaoshui Huang, Lixin Fan, Qiang Wu +2

Many types of 3D acquisition sensors have emerged in recent years and point cloud has been widely used in many areas. Accurate and fast registration of cross-source 3D point clouds…

cs.CV201922 cited

ColorNet: Investigating the importance of color spaces for image classification

Shreyank N Gowda, Chun Yuan

Image classification is a fundamental application in computer vision. Recently, deeper networks and highly connected networks have shown state of the art performance for image clas…

cs.CV2018

FPGA-based Acceleration System for Visual Tracking

Ke Song, Chun Yuan, Peng Gao +1

Visual tracking is one of the most important application areas of computer vision. At present, most algorithms are mainly implemented on PCs, and it is difficult to ensure real-tim…