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Learning to Update for Object Tracking
TLDR
We design the learned updater based on recurrent neural networks (RNNs) and demonstrate its application in a template-based tracker and a correlation filter-based Tracker. Expand
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Grand Challenge of 106-Point Facial Landmark Localization
Facial landmark localization is a very crucial step in numerous face related applications, such as face recognition, facial pose estimation, face image synthesis, etc. However, previous competitionsExpand
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Learning to Update for Object Tracking With Recurrent Meta-Learner
TLDR
We design the learned updater based on recurrent neural networks and demonstrate its application in a template-based tracker and a correlation filter-based Tracker. Expand
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A Cascading Invulnerability Analysis for Multi-Layered Networks
A cascading failure model for multi-layered networks is established using the Coupled Map Lattices (CML) method, the invulnerability of multi-layered network under random attacks and intentionalExpand
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Risk models for the Prize Collecting Steiner Tree problems with interval data
Given a connected graph G = (V,E) with a nonnegative cost on each edge in E, a nonnegative prize at each vertex in V, and a target set V′ ⊆ V, the Prize Collecting Steiner Tree (PCST) problem is toExpand
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Fisher vector with weakly-supervised Gaussian dictionary for scene classification
TLDR
We propose a novel strategy named Weakly-Supervised Gaussian Dictionary for Fisher Vector (WSGD-FV) to get the image representation. Expand
Performance of rateless codes in half-duplex collaborative relay networks
TLDR
Cooperative communications using rateless codes, in which the source transmits an infinite number of parity bits to the destination until the receipt of acknowledgement, provides a natural and efficient mechanism for accumulating information from multiple transmitting relays. Expand