Nadine Bertsch

According to our database, Nadine Bertsch authored at least 7 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

XR-MBT: Multi-Modal Full Body Tracking for XR Through Self-Supervision with Learned Depth Point Cloud Registration.

Denys Rozumnyi, Nadine Bertsch, Othman Sbai, Filippo Arcadu, Yuhua Chen, Artsiom Sanakoyeu, Manoj Kumar, Catherine Herold, Robin Kips

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

From Sparse Signal to Smooth Motion: Real-Time Motion Generation with Rolling Prediction Models.

Germán Barquero, Nadine Bertsch, Manojkumar Marramreddy, Carlos Chacón, Filippo Arcadu, Ferran Rigual, Nicky Sijia He, Cristina Palmero, Sergio Escalera, Yuting Ye, Robin Kips

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2023

BARC: Breed-Augmented Regression Using Classification for 3D Dog Reconstruction from Images.

Nadine Rueegg, Silvia Zuffi, Konrad Schindler, Michael J. Black

Int. J. Comput. Vis., August, 2023

Monocular 3D Shape and Pose Estimation for Humans and Animals.

Nadine Rüegg

PhD thesis, 2023

BITE: Beyond Priors for Improved Three-D Dog Pose Estimation.

Nadine Rüegg, Shashank Tripathi, Konrad Schindler, Michael J. Black, Silvia Zuffi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

BARC: Learning to Regress 3D Dog Shape from Images by Exploiting Breed Information.

Nadine Rüegg, Silvia Zuffi, Konrad Schindler, Michael J. Black

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations.

Nadine Rueegg, Christoph Lassner, Michael J. Black, Konrad Schindler

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020