1 citations · 2 across the 3 of their papers we have counts for
3 papers
CLOAF: CoLlisiOn-Aware Human Flow
Andrey Davydov, Martin Engilberge, Mathieu Salzmann +1
Even the best current algorithms for estimating body 3D shape and pose yield results that include body self-intersections. In this paper, we present CLOAF, which exploits the diffe…
AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains
Krzysztof Lis, Matthias Rottmann, Annika Mütze +3
In addition to impressive performance, vision transformers have demonstrated remarkable abilities to encode information they were not trained to extract. For example, this informat…
Unsupervised 3D Keypoint Discovery with Multi-View Geometry
Sina Honari, Chen Zhao, Mathieu Salzmann +1
Analyzing and training 3D body posture models depend heavily on the availability of joint labels that are commonly acquired through laborious manual annotation of body joints or vi…