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Axel Pinz

Axel Pinz

Technische Universität Graz

H-index: 44

Europe-Austria

About Axel Pinz

Axel Pinz, With an exceptional h-index of 44 and a recent h-index of 19 (since 2020), a distinguished researcher at Technische Universität Graz, specializes in the field of Computer Vision.

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

Deep insights into convolutional networks for video recognition

Synthesizing human-like sketches from natural images using a conditional convolutional decoder

Representing objects in video as space-time volumes by combining top-down and bottom-up processes

Axel Pinz Information

University

Position

Associate Professor

Citations(all)

13839

Citations(since 2020)

5413

Cited By

11323

hIndex(all)

44

hIndex(since 2020)

19

i10Index(all)

107

i10Index(since 2020)

37

Email

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University Profile Page

Technische Universität Graz

Google Scholar

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Axel Pinz Skills & Research Interests

Computer Vision

Top articles of Axel Pinz

Title

Journal

Author(s)

Publication Date

Deep insights into convolutional networks for video recognition

International Journal of Computer Vision

Christoph Feichtenhofer

Axel Pinz

Richard P Wildes

Andrew Zisserman

2020/2

Synthesizing human-like sketches from natural images using a conditional convolutional decoder

Moritz Kampelmuhler

Axel Pinz

2020

Representing objects in video as space-time volumes by combining top-down and bottom-up processes

Filip Ilic

Axel Pinz

2020

See List of Professors in Axel Pinz University(Technische Universität Graz)