Tony Lindeberg

About Tony Lindeberg

Tony Lindeberg, With an exceptional h-index of 53 and a recent h-index of 24 (since 2020), a distinguished researcher at Kungliga Tekniska högskolan, specializes in the field of Computer Vision, Scale Space, Recognition, Image Analysis, Neuroscience.

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

Covariant spatio-temporal receptive fields for neuromorphic computing

Do the receptive fields in the primary visual cortex span a variability over the degree of elongation of the receptive fields?

Orientation selectivity properties for the affine Gaussian derivative and the affine Gabor models for visual receptive fields

Discrete approximations of Gaussian smoothing and Gaussian derivatives

Joint covariance property under geometric image transformations for spatio-temporal receptive fields according to the generalized Gaussian derivative model for visual receptive …

A time-causal and time-recursive analogue of the Gabor transform

Orientation selectivity of affine Gaussian derivative based receptive fields

Covariance properties under natural image transformations for the generalized Gaussian derivative model for visual receptive fields

Tony Lindeberg Information

University

Position

Professor of Computer Science - Computational Vision

Citations(all)

26576

Citations(since 2020)

4444

Cited By

23802

hIndex(all)

53

hIndex(since 2020)

24

i10Index(all)

92

i10Index(since 2020)

48

Email

University Profile Page

Google Scholar

Tony Lindeberg Skills & Research Interests

Computer Vision

Scale Space

Recognition

Image Analysis

Neuroscience

Top articles of Tony Lindeberg

Covariant spatio-temporal receptive fields for neuromorphic computing

arXiv preprint arXiv:2405.00318

2024/5/1

Jens Egholm Pedersen
Jens Egholm Pedersen

H-Index: 2

Tony Lindeberg
Tony Lindeberg

H-Index: 28

Do the receptive fields in the primary visual cortex span a variability over the degree of elongation of the receptive fields?

arXiv preprint arXiv:2404.04858

2024/4/7

Tony Lindeberg
Tony Lindeberg

H-Index: 28

Orientation selectivity properties for the affine Gaussian derivative and the affine Gabor models for visual receptive fields

arXiv preprint arXiv:2304.11920

2024

Tony Lindeberg
Tony Lindeberg

H-Index: 28

Discrete approximations of Gaussian smoothing and Gaussian derivatives

arXiv preprint arXiv:2311.11317

2023/11/19

Tony Lindeberg
Tony Lindeberg

H-Index: 28

Joint covariance property under geometric image transformations for spatio-temporal receptive fields according to the generalized Gaussian derivative model for visual receptive …

arXiv preprint arXiv:2311.10543

2023/11/17

Tony Lindeberg
Tony Lindeberg

H-Index: 28

A time-causal and time-recursive analogue of the Gabor transform

arXiv preprint arXiv:2308.14512

2023/8/28

Tony Lindeberg
Tony Lindeberg

H-Index: 28

Orientation selectivity of affine Gaussian derivative based receptive fields

arXiv preprint arXiv:2304.11920v2

2023/4/24

Tony Lindeberg
Tony Lindeberg

H-Index: 28

Covariance properties under natural image transformations for the generalized Gaussian derivative model for visual receptive fields

Frontiers in Computational Neuroscience

2023/3/17

Tony Lindeberg
Tony Lindeberg

H-Index: 28

A time-causal and time-recursive scale-covariant scale-space representation of temporal signals and past time

Biological Cybernetics

2023/1/23

Tony Lindeberg
Tony Lindeberg

H-Index: 28

In Memoriam: Jan-Olof Eklundh

IEEE Transactions on Pattern Analysis & Machine Intelligence

2022/9/1

Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales

Journal of Mathematical Imaging and Vision

2022/4/11

Tony Lindeberg
Tony Lindeberg

H-Index: 28

Scale-covariant and scale-invariant Gaussian derivative networks

Journal of Mathematical Imaging and Vision

2022/3/22

Tony Lindeberg
Tony Lindeberg

H-Index: 28

Normative theory of visual receptive fields

Heliyon

2021/1/21

Tony Lindeberg
Tony Lindeberg

H-Index: 28

Understanding when spatial transformer networks do not support invariance, and what to do about it

2021/1/11

Lukas Finnveden
Lukas Finnveden

H-Index: 2

Tony Lindeberg
Tony Lindeberg

H-Index: 28

Exploring the ability of CNNs to generalise to previously unseen scales over wide scale ranges

2021/1/11

Tony Lindeberg
Tony Lindeberg

H-Index: 28

Spatial transformations in convolutional networks and invariant recognition

2020

Inability of spatial transformations of CNN feature maps to support invariant recognition

arXiv preprint arXiv:2004.14716

2020/4/30

The problems with using STNs to align CNN feature maps

2020/1/14

Lukas Finnveden
Lukas Finnveden

H-Index: 2

Tony Lindeberg
Tony Lindeberg

H-Index: 28

MNIST Large Scale data set

Zenodo

2020

Tony Lindeberg
Tony Lindeberg

H-Index: 28

Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade

Journal of Mathematical Imaging and Vision

2020

Tony Lindeberg
Tony Lindeberg

H-Index: 28

See List of Professors in Tony Lindeberg University(Kungliga Tekniska högskolan)