8 citations · 9 across the 2 of their papers we have counts for
4 papers
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…
Camera Calibration without Camera Access -- A Robust Validation Technique for Extended PnP Methods
Emil Brissman, Per-Erik Forssén, Johan Edstedt
A challenge in image based metrology and forensics is intrinsic camera calibration when the used camera is unavailable. The unavailability raises two questions. The first question…
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…