activity
20192023
most citedUncertainty-Aware Principal Component Analysis

50 citations · 161 across the 20 of their papers we have counts for

collaborators

22 papers

cs.CV2023★ 7 cited

3D-MuPPET: 3D Multi-Pigeon Pose Estimation and Tracking

Urs Waldmann, Alex Hoi Hang Chan, Hemal Naik +5

Markerless methods for animal posture tracking have been rapidly developing recently, but frameworks and benchmarks for tracking large animal groups in 3D are still lacking. To ove…

cs.GR2023★ 5 cited

Reducing Ambiguities in Line-based Density Plots by Image-space Colorization

Yumeng Xue, Patrick Paetzold, Rebecca Kehlbeck +4

Line-based density plots are used to reduce visual clutter in line charts with a multitude of individual lines. However, these traditional density plots are often perceived ambiguo…

cs.GR2023★ 5 cited

ProSpect: Prompt Spectrum for Attribute-Aware Personalization of Diffusion Models

Yuxin Zhang, Weiming Dong, Fan Tang +6

Personalizing generative models offers a way to guide image generation with user-provided references. Current personalization methods can invert an object or concept into the textu…

cs.LG2023

ISAAC Newton: Input-based Approximate Curvature for Newton's Method

Felix Petersen, Tobias Sutter, Christian Borgelt +4

We present ISAAC (Input-baSed ApproximAte Curvature), a novel method that conditions the gradient using selected second-order information and has an asymptotically vanishing comput…

cs.HC2023★ 1 cited

A Problem Space for Designing Visualizations

Michael Gleicher, Maria Riveiro, Tatiana von Landesberger +3

Visualization researchers and visualization professionals seek appropriate abstractions of visualization requirements that permit considering visualization solutions independently…

cs.GR2023★ 12 cited

Force-Directed Graph Layouts Revisited: A New Force Based on the T-Distribution

Fahai Zhong, Mingliang Xue, Jian Zhang +4

In this paper, we propose the t-FDP model, a force-directed placement method based on a novel bounded short-range force (t-force) defined by Student's t-distribution. Our formulati…