activity
20162018
most citedSpatially Supervised Recurrent Convolutional Neural Networks for Visual Object Tracking

37 citations · 65 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2018★ 7 cited

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…

cs.CV2017★ 16 cited

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…

cs.CV2017★ 3 cited

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…

cs.IR2016★ 2 cited

Joint Audio-Video Fingerprint Media Retrieval Using Rate-Coverage Optimization

Guanghan Ning, Zhi Zhang, Xiaobo Ren +2

In this work, we propose a joint audio-video fingerprint Automatic Content Recognition (ACR) technology for media retrieval. The problem is focused on how to balance the query accu…

cs.CV2016★ 37 cited

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…