90 citations · 122 across the 11 of their papers we have counts for
11 papers
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…
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…
StegColNet: Steganalysis based on an ensemble colorspace approach
Shreyank N Gowda, Chun Yuan
Image steganography refers to the process of hiding information inside images. Steganalysis is the process of detecting a steganographic image. We introduce a steganalysis approach…
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…
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…
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…
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…
Efficient Multi-level Correlating for Visual Tracking
Yipeng Ma, Chun Yuan, Peng Gao +1
Correlation filter (CF) based tracking algorithms have demonstrated favorable performance recently. Nevertheless, the top performance trackers always employ complicated optimizatio…
A coarse-to-fine algorithm for registration in 3D street-view cross-source point clouds
Xiaoshui Huang, Jian Zhang, Qiang Wu +2
With the development of numerous 3D sensing technologies, object registration on cross-source point cloud has aroused researchers' interests. When the point clouds are captured fro…
Learning Boltzmann Machine with EM-like Method
Jinmeng Song, Chun Yuan
We propose an expectation-maximization-like(EMlike) method to train Boltzmann machine with unconstrained connectivity. It adopts Monte Carlo approximation in the E-step, and replac…
A Systematic Approach for Cross-source Point Cloud Registration by Preserving Macro and Micro Structures
Xiaoshui Huang, Jian Zhang, Lixin Fan +2
We propose a systematic approach for registering cross-source point clouds. The compelling need for cross-source point cloud registration is motivated by the rapid development of a…