no code implementations • 2 Apr 2024 • Keyang Zhou, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll
Generating realistic hand motion sequences in interaction with objects has gained increasing attention with the growing interest in digital humans.
no code implementations • 16 May 2022 • Keyang Zhou, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll
The core of our method are TOCH fields, a novel spatio-temporal representation for modeling correspondences between hands and objects during interaction.
1 code implementation • 18 Aug 2021 • Keyang Zhou, Kailun Yang, Kaiwei Wang
With a comprehensive variety of experiments, this research demonstrates the effectiveness of our schemes aiming for indoor scene perception.
no code implementations • 1 Feb 2021 • Keyang Zhou, Bharat Lal Bhatnagar, Bernt Schiele, Gerard Pons-Moll
The remarkable result is that with only self-supervision, ART facilitates learning a unique canonical orientation for both rigid and nonrigid shapes, which leads to a notable boost in performance of aforementioned tasks.
1 code implementation • ECCV 2020 • Keyang Zhou, Bharat Lal Bhatnagar, Gerard Pons-Moll
The experiments on datasets of 3D humans, faces, hands and animals demonstrate the generality of our approach.
no code implementations • 5 Jan 2018 • Keyang Zhou, Bernhard Kainz
We believe that our work makes network introspection more feasible for debugging and understanding deep convolutional networks.