Fabian Brand

About Fabian Brand

Fabian Brand, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Friedrich-Alexander-Universität Erlangen-Nürnberg, specializes in the field of Video Coding, Deep Learning.

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

Analysis of Neural Video Compression Networks for 360-Degree Video Coding

Switchable Dense Motion Vector Field Interpolation

Conditional Residual Coding: A Remedy for Bottleneck Problems in Conditional Inter Frame Coding

The Bjøntegaard Bible Why your Way of Comparing Video Codecs May Be Wrong

Multiscale Augmented Normalizing Flows for Image Compression

Forensic analysis of AI-compression traces in spatial and frequency domain

Processing Energy Modeling For Neural Network Based Image Compression

On Interpolation of Subjective Rate-Distortion Curves for Video Coder Comparison

Fabian Brand Information

University

Position

PhD Student at

Citations(all)

132

Citations(since 2020)

129

Cited By

15

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Friedrich-Alexander-Universität Erlangen-Nürnberg

Google Scholar

View Google Scholar Profile

Fabian Brand Skills & Research Interests

Video Coding

Deep Learning

Top articles of Fabian Brand

Title

Journal

Author(s)

Publication Date

Analysis of Neural Video Compression Networks for 360-Degree Video Coding

arXiv preprint arXiv:2402.10257

Andy Regensky

Fabian Brand

André Kaup

2024/2/15

Switchable Dense Motion Vector Field Interpolation

2024/2/8

Conditional Residual Coding: A Remedy for Bottleneck Problems in Conditional Inter Frame Coding

IEEE Transactions on Circuits and Systems for Video Technology

Fabian Brand

Jürgen Seiler

André Kaup

2024/1/29

The Bjøntegaard Bible Why your Way of Comparing Video Codecs May Be Wrong

IEEE Transactions on Image Processing

Christian Herglotz

Hannah Och

Anna Meyer

Geetha Ramasubbu

Lena Eichermüller

...

2024/1/17

Multiscale Augmented Normalizing Flows for Image Compression

Marc Windsheimer

Fabian Brand

André Kaup

2024/4/14

Forensic analysis of AI-compression traces in spatial and frequency domain

Pattern Recognition Letters

Sandra Bergmann

Denise Moussa

Fabian Brand

André Kaup

Christian Riess

2024/2/22

Processing Energy Modeling For Neural Network Based Image Compression

Christian Herglotz

Fabian Brand

Andy Regensky

Felix Rievel

André Kaup

2023/10/8

On Interpolation of Subjective Rate-Distortion Curves for Video Coder Comparison

Fabian Brand

Christian Herglotz

Andre Kaup

2023/6/20

Saliency-Driven Hierarchical Learned Image Coding for Machines

Kristian Fischer

Fabian Brand

Christian Blum

André Kaup

2023/6/4

Frequency-Domain Analysis of Traces for the Detection of AI-based Compression

Sandra Bergmann

Denise Moussa

Fabian Brand

André Kaup

Christian Riess

2023/4/19

Learned Wavelet Video Coding using Motion Compensated Temporal Filtering

IEEE Access

Anna Meyer

Fabian Brand

André Kaup

2023/10/11

Triangulation-Based Adaptive Subsampling of Dense Motion Vector Fields

2023/2/16

Spatially-Adaptive Learning-Based Image Compression with Hierarchical Multi-Scale Latent Spaces

Fabian Brand

Alexander Kopte

Kristian Fischer

André Kaup

2023/10/8

Learning True Rate-Distortion-Optimization for End-To-End Image Compression

arXiv preprint arXiv:2201.01586

Fabian Brand

Kristian Fischer

Alexander Kopte

André Kaup

2022/1/5

On Benefits and Challenges of Conditional Interframe Video Coding in Light of Information Theory

Fabian Brand

Jürgen Seiler

André Kaup

2022/12/7

RDONet: Rate-Distortion Optimized Learned Image Compression With Variable Depth

Fabian Brand

Kristian Fischer

Alexander Kopte

Marc Windsheimer

André Kaup

2022

Learning Frequency-Specific Quantization Scaling in VVC for Standard-Compliant Task-Driven Image Coding

Kristian Fischer

Fabian Brand

Christian Herglotz

André Kaup

2022/10/16

P-Frame Coding with Generalized Difference: A Novel Conditional Coding Approach

Fabian Brand

Jürgen Seiler

André Kaup

2022/10/16

Domain Adaptation for Unknown Image Distortions in Instance Segmentation

Maximiliane Gruber

Fabian Brand

Alina Mosebach

Jürgen Seiler

André Kaup

2022/10/16

A Low-Parametric Model for Bit-Rate Estimation of VVC Residual Coding

Fabian Brand

Christian Herglotz

André Kaup

2022/5/23

See List of Professors in Fabian Brand University(Friedrich-Alexander-Universität Erlangen-Nürnberg)