Huseyin Coskun | DeepAI

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∙ 01/14/2022

Transformers in Action: Weakly Supervised Action Segmentation

The video action segmentation task is regularly explored under weaker fo...

0 John Ridley, et al. ∙

∙ 11/17/2021

Learning to Align Sequential Actions in the Wild

State-of-the-art methods for self-supervised sequential action alignment...

4 Weizhe Liu, et al. ∙

∙ 03/31/2021

Learning by Aligning Videos in Time

We present a self-supervised approach for learning video representations...

1 Sanjay Haresh, et al. ∙

∙ 08/01/2019

Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation

We present a sampling-free approach for computing the epistemic uncertai...

1 Janis Postels, et al. ∙

∙ 07/22/2019

Domain-Specific Priors and Meta Learning for Low-shot First-Person Action Recognition

The lack of large-scale real datasets with annotationsmakes transfer lea...

3 Huseyin Coskun, et al. ∙

∙ 07/30/2018

Human Motion Analysis with Deep Metric Learning

Effectively measuring the similarity between two human motions is necess...

0 Huseyin Coskun, et al. ∙

∙ 08/06/2017

Long Short-Term Memory Kalman Filters:Recurrent Neural Estimators for Pose Regularization

One-shot pose estimation for tasks such as body joint localization, came...

0 Huseyin Coskun, et al. ∙

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