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Hangen He

2 accepted papers

2019

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

CVPR 2019poster

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 on the Tracking-by-Detection (TBD) paradigm combined with popular machine learning approaches which largely reduce the hu…

Cited by 57PDFcodeScholar
2017

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

NeurIPS 2017poster

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 can be increased by widening and adding layers. However, usually the former introduces additional parameters, while the…

Cited by 79SourcePDFScholar