activity
20202023
most citedReclaiming the Horizon: Novel Visualization Designs for Time-Series Data with Large Value Ranges

6 citations · 12 across the 4 of their papers we have counts for

collaborators

5 papers

cs.HC2023★ 6 cited

Reclaiming the Horizon: Novel Visualization Designs for Time-Series Data with Large Value Ranges

Daniel Braun, Rita Borgo, Max Sondag +1

We introduce two novel visualization designs to support practitioners in performing identification and discrimination tasks on large value ranges (i.e., several orders of magnitude…

cs.CV2023★ 1 cited

Visual Validation versus Visual Estimation: A Study on the Average Value in Scatterplots

Daniel Braun, Ashley Suh, Remco Chang +2

We investigate the ability of individuals to visually validate statistical models in terms of their fit to the data. While visual model estimation has been studied extensively, vis…

eess.IV2022★ 5 cited

Color Coding of Large Value Ranges Applied to Meteorological Data

Daniel Braun, Kerstin Ebell, Vera Schemann +4

This paper presents a novel color scheme designed to address the challenge of visualizing data series with large value ranges, where scale transformation provides limited support.…

cs.CV2022

N-QGN: Navigation Map from a Monocular Camera using Quadtree Generating Networks

Daniel Braun, Olivier Morel, Pascal Vasseur +1

Monocular depth estimation has been a popular area of research for several years, especially since self-supervised networks have shown increasingly good results in bridging the gap…

cs.CV2020

P2D: a self-supervised method for depth estimation from polarimetry

Marc Blanchon, Désiré Sidibé, Olivier Morel +3

Monocular depth estimation is a recurring subject in the field of computer vision. Its ability to describe scenes via a depth map while reducing the constraints related to the form…