Senya Polikovsky — accepted AI-conference papers

2024

VAREN: Very Accurate and Realistic Equine Network

Silvia Zuffi, Ylva Mellbin, Ci Li, Markus Hoeschle, Hedvig Kjellström, Senya Polikovsky +2

CVPR 2024poster

Data-driven three-dimensional parametric shape models of the human body have gained enormous popularity both for the analysis of visual data and for the generation of synthetic humans. Following a similar approach for animals does not scale to the multitude of existing animal species not to mention…

Cited by 9 Source ↗PDF ↗Scholar ↗

2022

Capturing and Inferring Dense Full-Body Human-Scene Contact

Chun-Hao P. Huang, Hongwei Yi, Markus Höschle, Matvey Safroshkin, Tsvetelina Alexiadis, Senya Polikovsky +2

CVPR 2022poster

Inferring human-scene contact (HSC) is the first step toward understanding how humans interact with their surroundings. While detecting 2D human-object interaction (HOI) and reconstructing 3D human pose and shape (HPS) have enjoyed significant progress, reasoning about 3D human-scene contact from a…

Cited by 150 PDF ↗Scholar ↗