activity
20162018
most citedVisual Saliency Based on Scale-Space Analysis in the Frequency Domain

580 citations · 611 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2018★ 5 cited

Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers

Zhen He, Jian Li, Daxue Liu +2

Online Multi-Object Tracking (MOT) from videos is a challenging computer vision task which has been extensively studied for decades. Most of the existing MOT algorithms are based o…

stat.ML2017★ 21 cited

Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning

Zhen He, Shaobing Gao, Liang Xiao +3

Long Short-Term Memory (LSTM) is a popular approach to boosting the ability of Recurrent Neural Networks to store longer term temporal information. The capacity of an LSTM network…

cs.CV2017★ 5 cited

Light Cascaded Convolutional Neural Networks for Accurate Player Detection

Keyu Lu, Jianhui Chen, James J. Little +1

Vision based player detection is important in sports applications. Accuracy, efficiency, and low memory consumption are desirable for real-time tasks such as intelligent broadcasti…

cs.CV2016

Generalized Haar Filter based Deep Networks for Real-Time Object Detection in Traffic Scene

Keyu Lu, Jian Li, Xiangjing An +1

Vision-based object detection is one of the fundamental functions in numerous traffic scene applications such as self-driving vehicle systems and advance driver assistance systems…

cs.CV2016★ 580 cited

Visual Saliency Based on Scale-Space Analysis in the Frequency Domain

Jian Li, Martin Levine, Xiangjing An +2

We address the issue of visual saliency from three perspectives. First, we consider saliency detection as a frequency domain analysis problem. Second, we achieve this by employing…