Stefan Hörmann

Stefan Hörmann

Technische Universität München

H-index: 9

Europe-Germany

About Stefan Hörmann

Stefan Hörmann, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Technische Universität München, specializes in the field of Deep Learning, Computer Vision.

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

Explainable model-agnostic similarity and confidence in face verification

Synthehicle: multi-vehicle multi-camera tracking in virtual cities

Octuplet loss: Make face recognition robust to image resolution

Dissected 3D CNNs: Temporal skip connections for efficient online video processing

Frustration Recognition Using Spatio Temporal Data: A Novel Dataset and GCN Model to Recognize In-Vehicle Frustration

Face Morphing: Fooling a Face Recognition System Is Simple!

Towards a deeper understanding of skeleton-based gait recognition

Attention-based partial face recognition

Stefan Hörmann Information

University

Position

___

Citations(all)

401

Citations(since 2020)

401

Cited By

20

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

9

Email

University Profile Page

Technische Universität München

Google Scholar

View Google Scholar Profile

Stefan Hörmann Skills & Research Interests

Deep Learning

Computer Vision

Top articles of Stefan Hörmann

Title

Journal

Author(s)

Publication Date

Explainable model-agnostic similarity and confidence in face verification

Martin Knoche

Torben Teepe

Stefan Hörmann

Gerhard Rigoll

2023

Synthehicle: multi-vehicle multi-camera tracking in virtual cities

Fabian Herzog

Junpeng Chen

Torben Teepe

Johannes Gilg

Stefan Hörmann

...

2023

Octuplet loss: Make face recognition robust to image resolution

Martin Knoche

Mohamed Elkadeem

Stefan Hörmann

Gerhard Rigoll

2023/1/5

Dissected 3D CNNs: Temporal skip connections for efficient online video processing

Computer Vision and Image Understanding

Okan Köpüklü

Stefan Hörmann

Fabian Herzog

Hakan Cevikalp

Gerhard Rigoll

2022/1/1

Frustration Recognition Using Spatio Temporal Data: A Novel Dataset and GCN Model to Recognize In-Vehicle Frustration

IEEE Transactions on Affective Computing

Esther Bosch

Raquel Le Houcq Corbí

Klas Ihme

Stefan Hörmann

Meike Jipp

...

2022/12/14

Face Morphing: Fooling a Face Recognition System Is Simple!

arXiv preprint arXiv:2205.13796

Stefan Hörmann

Tianlin Kong

Torben Teepe

Fabian Herzog

Martin Knoche

...

2022/5/27

Towards a deeper understanding of skeleton-based gait recognition

Torben Teepe

Johannes Gilg

Fabian Herzog

Stefan Hörmann

Gerhard Rigoll

2022

Attention-based partial face recognition

Stefan Hörmann

Zeyuan Zhang

Martin Knoche

Torben Teepe

Gerhard Rigoll

2021/6/11

Lightweight multi-branch network for person re-identification

Fabian Herzog

Xunbo Ji

Torben Teepe

Stefan Hörmann

Johannes Gilg

...

2021/9/19

A Coarse-to-Fine Dual Attention Network for Blind Face Completion

Stefan Hormann

Zhibing Xia

Martin Knoche

Gerhard Rigoll

2021/12/15

Gaitgraph: Graph convolutional network for skeleton-based gait recognition

Torben Teepe

Ali Khan

Johannes Gilg

Fabian Herzog

Stefan Hörmann

...

2021/9/19

Cross-quality LFW: A database for analyzing cross-resolution image face recognition in unconstrained environments

Martin Knoche

Stefan Hormann

Gerhard Rigoll

2021/12/15

Susceptibility to image resolution in face recognition and trainings strategies

arXiv preprint arXiv:2107.03769

Martin Knoche

Stefan Hörmann

Gerhard Rigoll

2021/7/8

Face texture generation and identity-preserving rectification

Stefan Hörmann

Arka Bhowmick

Michael Weiher

Karl Leiss

Gerhard Rigoll

2021/9/19

The importance of considering individual differences in expression for in-vehicle emotion recognition-a machine learning approach

Raquel Le Houcq Corbi

Klas Ihme

Uwe Drewitz

Stefan Hörmann

Esther Johanna Bosch

2021

Face aggregation network for video face recognition

Stefan Hörmann

Zhenxiang Cao

Martin Knoche

Fabian Herzog

Gerhard Rigoll

2021/9/19

Attention fusion for audio-visual person verification using multi-scale features

Stefan Hörmann

Abdul Moiz

Martin Knoche

Gerhard Rigoll

2020/11/16

A multi-task comparator framework for kinship verification

Stefan Hörmann

Martin Knoche

Gerhard Rigoll

2020

See List of Professors in Stefan Hörmann University(Technische Universität München)