Visvanathan Ramesh

Visvanathan Ramesh

Goethe-Universität Frankfurt am Main

H-index: 49

Europe-Germany

About Visvanathan Ramesh

Visvanathan Ramesh, With an exceptional h-index of 49 and a recent h-index of 23 (since 2020), a distinguished researcher at Goethe-Universität Frankfurt am Main, specializes in the field of Computer Vision, Artificial Intelligence, Systems Engineering.

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

Designing a Hybrid Neural System to Learn Real-world Crack Segmentation from Fractal-based Simulation

Representation Learning in a Decomposed Encoder Design for Bio-inspired Hebbian Learning

A wholistic view of continual learning with deep neural networks: Forgotten lessons and the bridge to active and open world learning

When deep classifiers agree: Analyzing correlations between learning order and image statistics

Unified probabilistic deep continual learning through generative replay and open set recognition

Neural architecture search of deep priors: Towards continual learning without catastrophic interference

A procedural world generation framework for systematic evaluation of continual learning

Text2Scene: an interface for object-based processing of part-whole relations

Visvanathan Ramesh Information

University

Position

Professor of Software Engineering (Vision Systems)

Citations(all)

21800

Citations(since 2020)

2993

Cited By

35217

hIndex(all)

49

hIndex(since 2020)

23

i10Index(all)

109

i10Index(since 2020)

47

Email

University Profile Page

Goethe-Universität Frankfurt am Main

Google Scholar

View Google Scholar Profile

Visvanathan Ramesh Skills & Research Interests

Computer Vision

Artificial Intelligence

Systems Engineering

Top articles of Visvanathan Ramesh

Title

Journal

Author(s)

Publication Date

Designing a Hybrid Neural System to Learn Real-world Crack Segmentation from Fractal-based Simulation

Achref Jaziri

Martin Mundt

Andres Fernandez

Visvanathan Ramesh

2024

Representation Learning in a Decomposed Encoder Design for Bio-inspired Hebbian Learning

arXiv preprint arXiv:2401.08603

Achref Jaziri

Sina Ditzel

Iuliia Pliushch

Visvanathan Ramesh

2023/11/22

A wholistic view of continual learning with deep neural networks: Forgotten lessons and the bridge to active and open world learning

Neural Networks

Martin Mundt

Yongwon Hong

Iuliia Pliushch

Visvanathan Ramesh

2023/3/1

When deep classifiers agree: Analyzing correlations between learning order and image statistics

Iuliia Pliushch

Martin Mundt

Nicolas Lupp

Visvanathan Ramesh

2022/10/23

Unified probabilistic deep continual learning through generative replay and open set recognition

Journal of Imaging

Martin Mundt

Iuliia Pliushch

Sagnik Majumder

Yongwon Hong

Visvanathan Ramesh

2022/3/31

Neural architecture search of deep priors: Towards continual learning without catastrophic interference

Martin Mundt

Iuliia Pliushch

Visvanathan Ramesh

2021

A procedural world generation framework for systematic evaluation of continual learning

arXiv preprint arXiv:2106.02585

Timm Hess

Martin Mundt

Iuliia Pliushch

Visvanathan Ramesh

2021/6/4

Text2Scene: an interface for object-based processing of part-whole relations

Vincent Roy Kühn

2021

Increasing the Resilience of European Transport Infrastructure

Kostas Bouklas

Angelos Amditis

Rafael Weilharter

Visvanathan Ramesh

Miguel Ángel Trujillo Soto

...

2021/3/31

Generating virtual images for promoting visual artificial intelligence

Kunfeng Wang

Fei-Yue Wang

Visvanathan Ramesh

Ashish Shrivastava

David Vazquez

...

2020/6/21

Chronic within-hive video recordings detect altered nursing behaviour and retarded larval development of neonicotinoid treated honey bees

Scientific reports

Paul Siefert

Rudra Hota

Visvanathan Ramesh

Bernd Grünewald

2020/5/26

Fundamental Issues Regarding Uncertainties in Artificial Neural Networks

arXiv preprint arXiv:2002.11152

Neil A Thacker

Carole J Twining

Paul D Tar

Scott Notley

Visvanathan Ramesh

2020/2/25

See List of Professors in Visvanathan Ramesh University(Goethe-Universität Frankfurt am Main)

Co-Authors

H-index: 64
Terrance E. Boult

Terrance E. Boult

University of Colorado Colorado Springs

H-index: 61
Peter Meer

Peter Meer

Rutgers, The State University of New Jersey

H-index: 32
Anurag Mittal

Anurag Mittal

Indian Institute of Technology Madras

H-index: 12
Martin Mundt

Martin Mundt

Goethe-Universität Frankfurt am Main

H-index: 7
VSR Veeravasarapu

VSR Veeravasarapu

Goethe-Universität Frankfurt am Main

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