35 citations · 58 across the 11 of their papers we have counts for
4 papers · 1 filter
Detailed 3D Human Body Reconstruction from Multi-view Images Combining Voxel Super-Resolution and Learned Implicit Representation
Zhongguo Li, Magnus Oskarsson, Anders Heyden
The task of reconstructing detailed 3D human body models from images is interesting but challenging in computer vision due to the high freedom of human bodies. In order to tackle t…
A novel joint points and silhouette-based method to estimate 3D human pose and shape
Zhongguo Li, Anders Heyden, Magnus Oskarsson
This paper presents a novel method for 3D human pose and shape estimation from images with sparse views, using joint points and silhouettes, based on a parametric model. Firstly, t…
Deep Ordinal Regression with Label Diversity
Axel Berg, Magnus Oskarsson, Mark O'Connor
Regression via classification (RvC) is a common method used for regression problems in deep learning, where the target variable belongs to a set of continuous values. By discretizi…
Sensor Networks TDOA Self-Calibration: 2D Complexity Analysis and Solutions
Luca Ferranti, Kalle Åström, Magnus Oskarsson +2
Given a network of receivers and transmitters, the process of determining their positions from measured pseudoranges is known as network self-calibration. In this paper we consider…