Huseyin Coskun

Snap (United States) — United States

Computer Science · Physical Sciences

6h-index200citations22works0.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Human Pose and Action Recognition(14), Anomaly Detection Techniques and Applications(11), Gait Recognition and Analysis(4), Video Surveillance and Tracking Methods(3), Advanced Vision and Imaging(3)

Publications22 total

SnapGen: Taming High-Resolution Text-To-Image Models for Mobile Devices with Efficient Architectures and Training
2025
SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device
2025
SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device
arXiv (Cornell University)·2024Open Access
SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training
arXiv (Cornell University)·2024Open Access
Slicing Vision Transformer for Flexible Inference
arXiv (Cornell University)·2024Open Access
Slicing Vision Transformer for Flexible Inference
2024
GOCA: Guided Online Cluster Assignment for Self-Supervised Video Representation Learning
arXiv (Cornell University)·2022Open Access
Learning to Align Sequential Actions in the Wild
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022Open Access
Transformers in Action: Weakly Supervised Action Segmentation
arXiv (Cornell University)·2022Open Access
GOCA: Guided Online Cluster Assignment for Self-supervised Video Representation Learning
Lecture notes in computer science·2022· 4 cited
Learning to Align Sequential Actions in the Wild
arXiv (Cornell University)·2021· 1 citedOpen Access
Learning by Aligning Videos in Time
2021· 1 citedOpen Access
Domain-Specific Priors and Meta Learning for Few-Shot First-Person Action Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence·2021· 6 citedOpen Access
Sampling-Free Epistemic Uncertainty Estimation Using Approximated Variance Propagation
2019· 13 citedOpen Access
Sampling-free Epistemic Uncertainty Estimation Using Approximated\n Variance Propagation
arXiv (Cornell University)·2019· 2 citedOpen Access
Domain-Specific Priors and Meta Learning for Few-Shot First-Person\n Action Recognition
arXiv (Cornell University)·2019· 30 citedOpen Access
Human Motion Analysis with Deep Metric Learning
arXiv (Cornell University)·2018· 5 citedOpen Access
Human Motion Analysis with Deep Metric Learning
Lecture notes in computer science·2018· 49 cited
Long Short-Term Memory Kalman Filters: Recurrent Neural Estimators for Pose Regularization
2017· 13 citedOpen Access
Long Short-Term Memory Kalman Filters:Recurrent Neural Estimators for\n Pose Regularization
arXiv (Cornell University)·2017Open Access
page 1 of 2Next →

Frequent Co-authors

Federico Tombari(12), Nassir Navab(10), Bugra Tekin(4), Sergey Tulyakov(4), Felix Achilles(3), David Joseph Tan(3), Anil Kag(3), Sailesh Conjeti(2), M. Zeeshan Zia(2), Federica Bogo(2), Harpreet Sawhney(2), Janis Postels(2), Francesco Ferroni(2), Robert DiPietro(2), Alireza Zareian(2), Joshua L. Moore(2), Weizhe Liu(2), Vibhav Vineet(2), Pascal Fua(2), Marc Pollefeys(2)