1 code implementation • CVPR 2022 • Marilyn Keller, Silvia Zuffi, Michael J. Black, Sergi Pujades
We address the problem of inferring the anatomic skeleton of a person, in an arbitrary pose, from the 3D surface of the body; i. e. we predict the inside (bones) from the outside (skin).
no code implementations • CVPR 2022 • Nadine Rueegg, Silvia Zuffi, Konrad Schindler, Michael J. Black
But, even with a better shape model, the problem of regressing dog shape from an image is still challenging because we lack paired images with 3D ground truth.
no code implementations • 13 Jan 2022 • Michele Mancusi, Nicola Zonca, Emanuele Rodolà, Silvia Zuffi
Moreover, one of the causes of biodiversity loss is sound pollution; in data obtained from regions with loud anthropic noise, it is hard to separate the artificial from the fish sound manually.
no code implementations • 25 Oct 2021 • Devis Tuia, Benjamin Kellenberger, Sara Beery, Blair R. Costelloe, Silvia Zuffi, Benjamin Risse, Alexander Mathis, Mackenzie W. Mathis, Frank van Langevelde, Tilo Burghardt, Roland Kays, Holger Klinck, Martin Wikelski, Iain D. Couzin, Grant van Horn, Margaret C. Crofoot, Charles V. Stewart, Tanya Berger-Wolf
Data acquisition in animal ecology is rapidly accelerating due to inexpensive and accessible sensors such as smartphones, drones, satellites, audio recorders and bio-logging devices.
no code implementations • 18 Jun 2021 • Ci Li, Nima Ghorbani, Sofia Broomé, Maheen Rashid, Michael J. Black, Elin Hernlund, Hedvig Kjellström, Silvia Zuffi
In this paper we present our preliminary work on model-based behavioral analysis of horse motion.
1 code implementation • ICCV 2019 • Silvia Zuffi, Angjoo Kanazawa, Tanya Berger-Wolf, Michael J. Black
In contrast to research on human pose, shape and texture estimation, training data for endangered species is limited, the animals are in complex natural scenes with occlusion, they are naturally camouflaged, travel in herds, and look similar to each other.
no code implementations • CVPR 2018 • Silvia Zuffi, Angjoo Kanazawa, Michael J. Black
Animals are widespread in nature and the analysis of their shape and motion is important in many fields and industries.
no code implementations • CVPR 2017 • Silvia Zuffi, Angjoo Kanazawa, David Jacobs, Michael J. Black
The best human body models are learned from thousands of 3D scans of people in specific poses, which is infeasible with live animals.
no code implementations • CVPR 2015 • Silvia Zuffi, Michael J. Black
We propose a new 3D model of the human body that is both realistic and part-based.