Ferstl, David

6 publications

AAAI 2025 Free-Moving Object Reconstruction and Pose Estimation with Virtual Camera Haixin Shi, Yinlin Hu, Daniel Koguciuk, Juan-Ting Lin, Mathieu Salzmann, David Ferstl

CVPR 2025 SCFlow2: Plug-and-Play Object Pose Refiner with Shape-Constraint Scene Flow Qingyuan Wang, Rui Song, Jiaojiao Li, Kerui Cheng, David Ferstl, Yinlin Hu

ICCV 2023 Pseudo Flow Consistency for Self-Supervised 6d Object Pose Estimation Yang Hai, Rui Song, Jiaojiao Li, David Ferstl, Yinlin Hu

ICCV 2021 Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-Wise Memory Bank Iñigo Alonso, Alberto Sabater, David Ferstl, Luis Montesano, Ana C. Murillo

ICCV 2015 Variational Depth Superresolution Using Example-Based Edge Representations David Ferstl, Matthias Ruther, Horst Bischof

ICCV 2013 Image Guided Depth Upsampling Using Anisotropic Total Generalized Variation David Ferstl, Christian Reinbacher, Rene Ranftl, Matthias Ruether, Horst Bischof