14 citations · 43 across the 10 of their papers we have counts for
5 papers · 1 filter
Generating Synthetic Training Data for Deep Learning-Based UAV Trajectory Prediction
Stefan Becker, Ronny Hug, Wolfgang Hübner +2
Deep learning-based models, such as recurrent neural networks (RNNs), have been applied to various sequence learning tasks with great success. Following this, these models are incr…
MissFormer: (In-)attention-based handling of missing observations for trajectory filtering and prediction
Stefan Becker, Ronny Hug, Wolfgang Hübner +2
In applications such as object tracking, time-series data inevitably carry missing observations. Following the success of deep learning-based models for various sequence learning t…
Handling Missing Observations with an RNN-based Prediction-Update Cycle
Stefan Becker, Ronny Hug, Wolfgang Hübner +2
In tasks such as tracking, time-series data inevitably carry missing observations. While traditional tracking approaches can handle missing observations, recurrent neural networks…
Win-Fail Action Recognition
Paritosh Parmar, Brendan Morris
Current video/action understanding systems have demonstrated impressive performance on large recognition tasks. However, they might be limiting themselves to learning to recognize…
Piano Skills Assessment
Paritosh Parmar, Jaiden Reddy, Brendan Morris
Can a computer determine a piano player's skill level? Is it preferable to base this assessment on visual analysis of the player's performance or should we trust our ears over our…