Publications

[Extracted from DiVA, the publication database at KTH.]

Jansson, Y.; Lindeberg, T. (2021):
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales.
Manuscript (preprint) [Details]
Finnveden, L.; Jansson, Y.; Lindeberg, T. (2021):
Understanding when spatial transformer networks do not support invariance, and what to do about it.
[Conference paper] ICPR 2020: 25th International Conference on Pattern Recognition, Milan, Italy, January 10-15, 2021; ICPR 2020: International Conference on Pattern Recognition 3427-3434 [Details]
Jansson, Y.; Lindeberg, T. (2021):
Exploring the ability of CNNs to generalise to previously unseen scales over wide scale ranges.
[Conference paper] ICPR 2020: 25th International Conference on Pattern Recognition, Milan, Italy, January 10-15, 2021; ICPR 2020: International Conference on Pattern Recognition 1181-1188 [Details]
Finnveden, L.; Jansson, Y.; Lindeberg, T. (2020):
The problems with using STNs to align CNN feature maps.
[Conference paper] Northern Lights Deep Learning Workshop 2020, Tromsø, Norway, 20-21 Jan 2020; [Details]
Jansson, Y.; Maydanskiy, M.; Finnveden, L.; Lindeberg, T. (2020):
Inability of spatial transformations of CNN feature maps to support invariant recognition.
Report [Details]
Jansson, Y.; Maydanskiy, M.; Finnveden, L.; Lindeberg, T. (2020):
Spatial transformations in convolutional networks and invariant recognition..
[Conference paper] DeepMath2020 Conference on the Mathematical Theory of Deep Neural Networks Nov 5 - Nov 6, 2020; [Details]
Jansson, Y.; Lindeberg, T. (2020):
Exploring the ability of CNNs to generalise to previously unseen scales over wide scale ranges.
Manuscript (preprint) [Details]
Jansson, Y.; Lindeberg, T. (2020):
MNIST Large Scale dataset.
Data set [Details]
Finnveden, L.; Jansson, Y.; Lindeberg, T. (2020):
Understanding when spatial transformer networks do not support invariance, and what to do about it.
Manuscript (preprint) [Details]
Jansson, Y.; Lindeberg, T. (2018):
Dynamic texture recognition using time-causal and time-recursive spatio-temporal receptive fields.
Journal of Mathematical Imaging and Vision 60: 1369-1398 [Details]
Jansson, Y.; Lindeberg, T. (2017):
Dynamic texture recognition using time-causal and time-recursive spatio-temporal receptive fields.
Report [Details]
Jansson, Y.; Lindeberg, T. (2017):
Dynamic texture recognition using time-causal spatio-temporal scale-space filters.
[Conference paper] SSVM 2017: 6th International Conference on Scale Space and Variational Methods in Computer Vision, Kolding, Denmark, June 4-8, 2017; Scale Space and Variational Methods in Computer Vision 16-28 [Details]