4 papers
Transformers in Action: Weakly Supervised Action Segmentation
John Ridley, Huseyin Coskun, David Joseph Tan +2
The video action segmentation task is regularly explored under weaker forms of supervision, such as transcript supervision, where a list of actions is easier to obtain than dense f…
Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation
Janis Postels, Francesco Ferroni, Huseyin Coskun +2
We present a sampling-free approach for computing the epistemic uncertainty of a neural network. Epistemic uncertainty is an important quantity for the deployment of deep neural ne…
Human Motion Analysis with Deep Metric Learning
Huseyin Coskun, David Joseph Tan, Sailesh Conjeti +2
Effectively measuring the similarity between two human motions is necessary for several computer vision tasks such as gait analysis, person identi- fication and action retrieval. N…
Long Short-Term Memory Kalman Filters:Recurrent Neural Estimators for Pose Regularization
Huseyin Coskun, Felix Achilles, Robert DiPietro +2
One-shot pose estimation for tasks such as body joint localization, camera pose estimation, and object tracking are generally noisy, and temporal filters have been extensively used…