activity
20162024
most citedRefusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models

6 citations · 12 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024

Photo-Realistic Image Restoration in the Wild with Controlled Vision-Language Models

Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao +2

Though diffusion models have been successfully applied to various image restoration (IR) tasks, their performance is sensitive to the choice of training datasets. Typically, diffus…

cs.CV2023

Extended target tracking utilizing machine-learning software -- with applications to animal classification

Magnus Malmström, Anton Kullberg, Isaac Skog +2

This paper considers the problem of detecting and tracking objects in a sequence of images. The problem is formulated in a filtering framework, using the output of object-detection…

eess.SP20232 cited

Fusion framework and multimodality for the Laplacian approximation of Bayesian neural networks

Magnus Malmström, Isaac Skog, Daniel Axehill +1

This paper considers the problem of sequential fusion of predictions from neural networks (NN) and fusion of predictions from multiple NN. This fusion strategy increases the robust…

cs.CV20236 cited

Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models

Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao +2

This work aims to improve the applicability of diffusion models in realistic image restoration. Specifically, we enhance the diffusion model in several aspects such as network arch…

eess.SP20231 cited

Track-To-Track Association for Fusion of Dimension-Reduced Estimates

Robin Forsling, Zoran Sjanic, Fredrik Gustafsson +1

Network-centric multitarget tracking under communication constraints is considered, where dimension-reduced track estimates are exchanged. Previous work on target tracking in this…

math.OC20163 cited

Distributed Localization of Tree-structured Scattered Sensor Networks

Sina Khoshfetrat Pakazad, Emre Özkan, Carsten Fritsche +2

Many of the distributed localization algorithms are based on relaxed optimization formulations of the localization problem. These algorithms commonly rely on first-order optimizati…