37 citations · 65 across the 5 of their papers we have counts for
4 papers · 1 filter
Progressive Neural Networks for Image Classification
Zhi Zhang, Guanghan Ning, Yigang Cen +4
The inference structures and computational complexity of existing deep neural networks, once trained, are fixed and remain the same for all test images. However, in practice, it is…
Knowledge Projection for Deep Neural Networks
Zhi Zhang, Guanghan Ning, Zhihai He
While deeper and wider neural networks are actively pushing the performance limits of various computer vision and machine learning tasks, they often require large sets of labeled d…
Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation
Guanghan Ning, Zhi Zhang, Zhihai He
Human pose estimation using deep neural networks aims to map input images with large variations into multiple body keypoints which must satisfy a set of geometric constraints and i…
Spatially Supervised Recurrent Convolutional Neural Networks for Visual Object Tracking
Guanghan Ning, Zhi Zhang, Chen Huang +3
In this paper, we develop a new approach of spatially supervised recurrent convolutional neural networks for visual object tracking. Our recurrent convolutional network exploits th…