8 citations · 12 across the 5 of their papers we have counts for
7 papers · 1 filter
Differentiable Voronoi Ray Tracing Beyond Rasterization Speeds
Bernardo Taveira, Carl Lindström, Joakim Johnander +1
Real-time novel view synthesis is dominated by rasterized explicit primitives. These projection-based pipelines provide high throughput but require specialized extensions for non-p…
Predicting Signed Distance Functions for Visual Instance Segmentation
Emil Brissman, Joakim Johnander, Michael Felsberg
Visual instance segmentation is a challenging problem and becomes even more difficult if objects of interest varies unconstrained in shape. Some objects are well described by a rec…
Deep Gaussian Processes for Few-Shot Segmentation
Joakim Johnander, Johan Edstedt, Martin Danelljan +2
Few-shot segmentation is a challenging task, requiring the extraction of a generalizable representation from only a few annotated samples, in order to segment novel query images. A…
Learning Video Instance Segmentation with Recurrent Graph Neural Networks
Joakim Johnander, Emil Brissman, Martin Danelljan +1
Most existing approaches to video instance segmentation comprise multiple modules that are heuristically combined to produce the final output. Formulating a purely learning-based m…
A Generative Appearance Model for End-to-end Video Object Segmentation
Joakim Johnander, Martin Danelljan, Emil Brissman +2
One of the fundamental challenges in video object segmentation is to find an effective representation of the target and background appearance. The best performing approaches resort…
Unveiling the Power of Deep Tracking
Goutam Bhat, Joakim Johnander, Martin Danelljan +2
In the field of generic object tracking numerous attempts have been made to exploit deep features. Despite all expectations, deep trackers are yet to reach an outstanding level of…