Search Results for author:
Found 3 papers, 2 papers with code
Causal Discovery from Sparse Time-Series Data Using Echo State Network
Causal discovery between collections of time-series data can help diagnose causes of symptoms and hopefully prevent faults before they occur.
Text Detection and Recognition in the Wild: A Review
Thus, unlike previous surveys in this field, the objectives of this survey are as follows: first, offering the reader not only a review on the recent advancement in scene text detection and recognition, but also presenting the results of conducting extensive experiments using a unified evaluation framework that assesses pre-trained models of the selected methods on challenging cases, and applies the same evaluation criteria on these techniques.
Online multi-object tracking via robust collaborative model and sample selection
For each frame, we construct an association between detections and trackers, and treat each detected image region as a key sample, for online update, if it is associated to a tracker.
Ranked #1 on
Online Multi-Object Tracking
on Oxford Town Center
