325 citations · 533 across the 5 of their papers we have counts for
5 papers
Learning Hierarchical Features for Visual Object Tracking with Recursive Neural Networks
Li Wang, Ting Liu, Bing Wang +2
Recently, deep learning has achieved very promising results in visual object tracking. Deep neural networks in existing tracking methods require a lot of training data to learn a l…
Joint Learning of Siamese CNNs and Temporally Constrained Metrics for Tracklet Association
Bing Wang, Li Wang, Bing Shuai +4
In this paper, we study the challenging problem of multi-object tracking in a complex scene captured by a single camera. Different from the existing tracklet association-based trac…
Recent Advances in Convolutional Neural Networks
Jiuxiang Gu, Zhenhua Wang, Jason Kuen +9
In the last few years, deep learning has led to very good performance on a variety of problems, such as visual recognition, speech recognition and natural language processing. Amon…
Video Tracking Using Learned Hierarchical Features
Li Wang, Ting Liu, Gang Wang +2
In this paper, we propose an approach to learn hierarchical features for visual object tracking. First, we offline learn features robust to diverse motion patterns from auxiliary v…
Learning Invariant Color Features for Person Re-Identification
Rahul Rama Varior, Gang Wang, Jiwen Lu
Matching people across multiple camera views known as person re-identification, is a challenging problem due to the change in visual appearance caused by varying lighting condition…