65 citations · 87 across the 18 of their papers we have counts for
5 papers · 1 filter
Learning Structure-from-Motion with Graph Attention Networks
Lucas Brynte, José Pedro Iglesias, Carl Olsson +1
In this paper we tackle the problem of learning Structure-from-Motion (SfM) through the use of graph attention networks. SfM is a classic computer vision problem that is solved tho…
Adjustable Visual Appearance for Generalizable Novel View Synthesis
Josef Bengtson, David Nilsson, Che-Tsung Lin +2
We present a generalizable novel view synthesis method which enables modifying the visual appearance of an observed scene so rendered views match a target weather or lighting condi…
Privacy-Preserving Representations are not Enough -- Recovering Scene Content from Camera Poses
Kunal Chelani, Torsten Sattler, Fredrik Kahl +1
Visual localization is the task of estimating the camera pose from which a given image was taken and is central to several 3D computer vision applications. With the rapid growth in…
Investigating how ReLU-networks encode symmetries
Georg Bökman, Fredrik Kahl
Many data symmetries can be described in terms of group equivariance and the most common way of encoding group equivariances in neural networks is by building linear layers that ar…
Improving Open-Set Semi-Supervised Learning with Self-Supervision
Erik Wallin, Lennart Svensson, Fredrik Kahl +1
Open-set semi-supervised learning (OSSL) embodies a practical scenario within semi-supervised learning, wherein the unlabeled training set encompasses classes absent from the label…