68 citations · 139 across the 5 of their papers we have counts for
5 papers
A Survey of FPGA Based Deep Learning Accelerators: Challenges and Opportunities
Teng Wang, Chao Wang, Xuehai Zhou +1
With the rapid development of in-depth learning, neural network and deep learning algorithms have been widely used in various fields, e.g., image, video and voice processing. Howev…
Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation
Chao Wang, Haiyong Zheng, Zhibin Yu +3
Image-to-image translation has been made much progress with embracing Generative Adversarial Networks (GANs). However, it's still very challenging for translation tasks that requir…
Close Yet Distinctive Domain Adaptation
Lingkun Luo, Xiaofang Wang, Shiqiang Hu +3
Domain adaptation is transfer learning which aims to generalize a learning model across training and testing data with different distributions. Most previous research tackle this p…
Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors
Lingqiao Liu, Chunhua Shen, Lei Wang +2
Deriving from the gradient vector of a generative model of local features, Fisher vector coding (FVC) has been identified as an effective coding method for image classification. Mo…
Collision free autonomous navigation and formation building for non-holonomic ground robots
Chao Wang
The primary objective of a safe navigation algorithm is to guide the object from its current position to the target position while avoiding any collision with the en-route obstacle…