Ylva Jansson

11 papers B 2Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Scale-Invariant Scale-Channel Networks: Deep Networks That Generalise to Previously Unseen Scales. J. Math. Imaging Vis. Ylva Jansson, Tony Lindeberg
2021	J	`jnl`	Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales. CoRR Ylva Jansson, Tony Lindeberg
2020	B	`conf`	Exploring the ability of CNN s to generalise to previously unseen scales over wide scale ranges. ICPR Ylva Jansson, Tony Lindeberg
2020	J	`jnl`	Exploring the ability of CNNs to generalise to previously unseen scales over wide scale ranges. CoRR Ylva Jansson, Tony Lindeberg
2020	J	`jnl`	Inability of spatial transformations of CNN feature maps to support invariant recognition. CoRR Ylva Jansson, Maksim Maydanskiy, Lukas Finnveden, Tony Lindeberg
2020	J	`jnl`	The problems with using STNs to align CNN feature maps. CoRR Lukas Finnveden, Ylva Jansson, Tony Lindeberg
2020	B	`conf`	Understanding when spatial transformer networks do not support invariance, and what to do about it. ICPR Lukas Finnveden, Ylva Jansson, Tony Lindeberg
2020	J	`jnl`	Understanding when spatial transformer networks do not support invariance, and what to do about it. CoRR Lukas Finnveden, Ylva Jansson, Tony Lindeberg
2018	J	`jnl`	Dynamic Texture Recognition Using Time-Causal and Time-Recursive Spatio-Temporal Receptive Fields. J. Math. Imaging Vis. Ylva Jansson, Tony Lindeberg
2017	—	`conf`	Dynamic Texture Recognition Using Time-Causal Spatio-Temporal Scale-Space Filters. SSVM Ylva Jansson, Tony Lindeberg
2017	J	`jnl`	Dynamic texture recognition using time-causal and time-recursive spatio-temporal receptive fields. CoRR Ylva Jansson, Tony Lindeberg