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Found 5 papers, 3 papers with code
Font Representation Learning via Paired-glyph Matching
For the discriminative representation of a font from others, we propose a paired-glyph matching-based font representation learning model that attracts the representations of glyphs in the same font to one another, but pushes away those of other fonts.
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning
For the reconstruction of node features, the decoder is designed based on Laplacian sharpening as the counterpart of Laplacian smoothing of the encoder, which allows utilizing the graph structure in the whole processes of the proposed autoencoder architecture.
Context-aware Deep Feature Compression for High-speed Visual Tracking
We propose a new context-aware correlation filter based tracking framework to achieve both high computational speed and state-of-the-art performance among real-time trackers.
Ranked #15 on
Visual Object Tracking
on VOT2017/18
Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras
Person re-identification is the task of recognizing or identifying a person across multiple views in multi-camera networks.
Unified Framework for Automated Person Re-identification and Camera Network Topology Inference in Camera Networks
Person re-identification in large-scale multi-camera networks is a challenging task because of the spatio-temporal uncertainty and high complexity due to large numbers of cameras and people.
