1 code implementation • 8 Mar 2024 • Yushan Zhang, Bastian Wandt, Maria Magnusson, Michael Felsberg
Aiming at improving accuracy while additionally providing an estimate for uncertainty, we propose DiffSF that combines transformer-based scene flow estimation with denoising diffusion models.
1 code implementation • NeurIPS 2023 • Yushan Zhang, Johan Edstedt, Bastian Wandt, Per-Erik Forssén, Maria Magnusson, Michael Felsberg
We tackle the task of scene flow estimation from point clouds.
1 code implementation • 5 Apr 2023 • Arvi Jonnarth, Yushan Zhang, Michael Felsberg
Our work is based on two techniques for improving CAMs; importance sampling, which is a substitute for GAP, and the feature similarity loss, which utilizes a heuristic that object contours almost always align with color edges in images.
no code implementations • 25 Jan 2023 • Yushan Zhang, Andreas Robinson, Maria Magnusson, Michael Felsberg
A model to extract the combined information from optical flow and the image is proposed, which is then used as input to the target model and the decoder network.
1 code implementation • 25 Sep 2017 • Scott C. James, Yushan Zhang, Fearghal O'Donncha
These input data along with model outputs of spatially variable wave heights and characteristic period were aggregated into supervised learning training and test data sets, which were supplied to machine learning models.
Atmospheric and Oceanic Physics