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06/11/2021
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales
The ability to handle large scale variations is crucial for many real wo...
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11/30/2020
Scale-covariant and scale-invariant Gaussian derivative networks
This article presents a hybrid approach between scale-space theory and d...
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04/30/2020
Inability of spatial transformations of CNN feature maps to support invariant recognition
A large number of deep learning architectures use spatial transformation...
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04/24/2020
Understanding when spatial transformer networks do not support invariance, and what to do about it
Spatial transformer networks (STNs) were designed to enable convolutiona...
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04/03/2020
Exploring the ability of CNNs to generalise to previously unseen scales over wide scale ranges
The ability to handle large scale variations is crucial for many real wo...
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01/14/2020
The problems with using STNs to align CNN feature maps
Spatial transformer networks (STNs) were designed to enable CNNs to lear...
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05/29/2019
Provably scale-covariant hierarchical continuous networks based on scale-normalized differential expressions coupled in cascade
This article presents a theory for constructing continuous hierarchical ...
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03/01/2019
Provably scale-covariant networks from oriented quasi quadrature measures in cascade
This article presents a continuous model for hierarchical networks based...
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10/13/2017
Dynamic texture recognition using time-causal and time-recursive spatio-temporal receptive fields
This work presents a first evaluation of using spatio-temporal receptive...
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09/25/2017
Dense scale selection over space, time and space-time
Scale selection methods based on local extrema over scale of scale-norma...
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01/23/2017
Normative theory of visual receptive fields
This article gives an overview of a normative computational theory of vi...
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01/09/2017
Discrete approximations of the affine Gaussian derivative model for visual receptive fields
The affine Gaussian derivative model can in several respects be regarded...
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01/09/2017
Temporal scale selection in time-causal scale space
When designing and developing scale selection mechanisms for generating ...
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04/10/2015
Time-causal and time-recursive spatio-temporal receptive fields
We present an improved model and theory for time-causal and time-recursi...
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04/07/2015
Separable time-causal and time-recursive spatio-temporal receptive fields
We present an improved model and theory for time-causal and time-recursi...
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10/02/2012