Thomas Pock

Thomas Pock

Technische Universität Graz

H-index: 67

Europe-Austria

About Thomas Pock

Thomas Pock, With an exceptional h-index of 67 and a recent h-index of 50 (since 2020), a distinguished researcher at Technische Universität Graz, specializes in the field of Convex optimization, Image processing, Variational methods, Machine learning, Computer vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

Selective, Interpretable, and Motion Consistent Privacy Attribute Obfuscation for Action Recognition

Product of Gaussian Mixture Diffusion Models

Utilization of deep learning tools to map and monitor biological soil crusts

Diffusion-based generation of Histopathological Whole Slide Images at a Gigapixel scale

Posterior-Variance–Based Error Quantification for Inverse Problems in Imaging

Quantum transport in open spin chains using neural-network quantum states

Stable deep MRI reconstruction using Generative Priors

Learning gradually non-convex image priors using score matching

Thomas Pock Information

University

Technische Universität Graz

Position

Professor of Computer Science

Citations(all)

28341

Citations(since 2020)

14432

Cited By

20519

hIndex(all)

67

hIndex(since 2020)

50

i10Index(all)

148

i10Index(since 2020)

117

Email

University Profile Page

Technische Universität Graz

Thomas Pock Skills & Research Interests

Convex optimization

Image processing

Variational methods

Machine learning

Computer vision

Top articles of Thomas Pock

Title

Journal

Author(s)

Publication Date

Selective, Interpretable, and Motion Consistent Privacy Attribute Obfuscation for Action Recognition

arXiv preprint arXiv:2403.12710

Filip Ilic

He Zhao

Thomas Pock

Richard P Wildes

2024/3/19

Product of Gaussian Mixture Diffusion Models

arXiv preprint arXiv:2310.12653

Martin Zach

Erich Kobler

Antonin Chambolle

Thomas Pock

2023/10/19

Utilization of deep learning tools to map and monitor biological soil crusts

Ecological Informatics

Stefan Herdy

Emilio Rodríguez-Caballero

Thomas Pock

Bettina Weber

2024/3/1

Diffusion-based generation of Histopathological Whole Slide Images at a Gigapixel scale

Robert Harb

Thomas Pock

Heimo Müller

2024

Posterior-Variance–Based Error Quantification for Inverse Problems in Imaging

SIAM Journal on Imaging Sciences

Dominik Narnhofer

Andreas Habring

Martin Holler

Thomas Pock

2024/3/31

Quantum transport in open spin chains using neural-network quantum states

Physical Review B

Johannes Mellak

Enrico Arrigoni

Thomas Pock

Wolfgang Von Der Linden

2023/5/1

Stable deep MRI reconstruction using Generative Priors

IEEE Transactions on Medical Imaging

Martin Zach

Florian Knoll

Thomas Pock

2023/9/1

Learning gradually non-convex image priors using score matching

arXiv preprint arXiv:2302.10502

Erich Kobler

Thomas Pock

2023/2/21

Subgradient langevin methods for sampling from non-smooth potentials

arXiv preprint arXiv:2308.01417

Andreas Habring

Martin Holler

Thomas Pock

2023/8/2

Bilevel learning of regularization models and their discretization for image deblurring and super-resolution

arXiv preprint arXiv:2302.10056

Tatiana A Bubba

Luca Calatroni

Ambra Catozzi

Serena Crisci

Thomas Pock

...

2023/2/20

Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms

arXiv preprint arXiv:2305.15988

Tim Tsz-Kit Lau

Han Liu

Thomas Pock

2023/5/25

Deep learning reconstruction enables prospectively accelerated clinical knee MRI

Radiology

Patricia M Johnson

Dana J Lin

Jure Zbontar

C Lawrence Zitnick

Anuroop Sriram

...

2023/1/17

Learned Discretization Schemes for the Second-Order Total Generalized Variation

Lea Bogensperger

Antonin Chambolle

Alexander Effland

Thomas Pock

2023/5/10

Lightweight video denoising using aggregated shifted window attention

Lydia Lindner

Alexander Effland

Filip Ilic

Thomas Pock

Erich Kobler

2023

Explicit diffusion of gaussian mixture model based image priors

Martin Zach

Thomas Pock

Erich Kobler

Antonin Chambolle

2023/5/10

Score-based generative models for medical image segmentation using signed distance functions

Lea Bogensperger

Dominik Narnhofer

Filip Ilic

Thomas Pock

2023/9/19

On the Influence of Beta Cell Granule Counting for Classification in Type 1 Diabetes

Lea Bogensperger

Marc Masana

Filip Ilic

Dagmar Kolb

Thomas R Pieber

...

2022

Is appearance free action recognition possible?

Filip Ilic

Thomas Pock

Richard P Wildes

2022/10/23

A study on robust feature representations for grain density estimates in austenitic steel

Filip Ilic

Marc Masana

Lea Bogensperger

Harald Ganster

Thomas Pock

2022

Blind Single Image Super-Resolution via Iterated Shared Prior Learning

Thomas Pinetz

Erich Kobler

Thomas Pock

Alexander Effland

2022/9/20

See List of Professors in Thomas Pock University(Technische Universität Graz)

Thomas Pock FAQs

What is Thomas Pock's h-index at Technische Universität Graz?

The h-index of Thomas Pock has been 50 since 2020 and 67 in total.

What are Thomas Pock's top articles?

The articles with the titles of

Selective, Interpretable, and Motion Consistent Privacy Attribute Obfuscation for Action Recognition

Product of Gaussian Mixture Diffusion Models

Utilization of deep learning tools to map and monitor biological soil crusts

Diffusion-based generation of Histopathological Whole Slide Images at a Gigapixel scale

Posterior-Variance–Based Error Quantification for Inverse Problems in Imaging

Quantum transport in open spin chains using neural-network quantum states

Stable deep MRI reconstruction using Generative Priors

Learning gradually non-convex image priors using score matching

...

are the top articles of Thomas Pock at Technische Universität Graz.

What are Thomas Pock's research interests?

The research interests of Thomas Pock are: Convex optimization, Image processing, Variational methods, Machine learning, Computer vision

What is Thomas Pock's total number of citations?

Thomas Pock has 28,341 citations in total.

What are the co-authors of Thomas Pock?

The co-authors of Thomas Pock are Daniel Cremers, Thomas Brox, Horst Bischof, Daniel Sodickson, Antonin Chambolle, Kristian Bredies.

Co-Authors

H-index: 117
Daniel Cremers

Daniel Cremers

Technische Universität München

H-index: 101
Thomas Brox

Thomas Brox

Albert-Ludwigs-Universität Freiburg

H-index: 96
Horst Bischof

Horst Bischof

Technische Universität Graz

H-index: 74
Daniel Sodickson

Daniel Sodickson

New York University

H-index: 55
Antonin Chambolle

Antonin Chambolle

Université Paris-Dauphine

H-index: 40
Kristian Bredies

Kristian Bredies

Karl-Franzens-Universität Graz

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