Hollerer, Tobias

11 publications

CVPR 2025 AniGrad: Anisotropic Gradient-Adaptive Sampling for 3D Reconstruction from Monocular Video Noah Stier, Alex Rich, Pradeep Sen, Tobias Höllerer

ECCV 2024 Smoothness, Synthesis, and Sampling: Re-Thinking Unsupervised Multi-View Stereo with DIV Loss Alex Rich, Noah Stier, Pradeep Sen, Tobias Hollerer

CVPR 2022 Interactive Segmentation and Visualization for Tiny Objects in Multi-Megapixel Images Chengyuan Xu, Boning Dong, Noah Stier, Curtis McCully, D. Andrew Howell, Pradeep Sen, Tobias Höllerer

CVPR 2021 Augmentation Strategies for Learning with Noisy Labels Kento Nishi, Yi Ding, Alex Rich, Tobias Hollerer

AAAI 2021 Improving Label Noise Robustness with Data Augmentation and Semi-Supervised Learning (Student Abstract) Kento Nishi, Yi Ding, Alex Rich, Tobias Höllerer

ICCVW 2021 Using Synthetic Data Generation to Probe Multi-View Stereo Networks Pranav Acharya, Daniel Lohn, Vivian Ross, Maya Ha, Alexander Rich, Ehsan Sayyad, Tobias Höllerer

AAAI 2020 Exploring the Benefits of Depth Information in Object Pixel Masking (Student Abstract) Anish Kachinthaya, Yi Ding, Tobias Höllerer

WACV 2017 Densification of Semi-Dense Reconstructions for Novel View Generation of Live Scenes Domagoj Baricevic, Tobias Höllerer, Matthew Turk

CVPR 2015 Computing Similarity Transformations from Only Image Correspondences Chris Sweeney, Laurent Kneip, Tobias Hollerer, Matthew Turk

ICCV 2015 Optimizing the Viewing Graph for Structure-from-Motion Chris Sweeney, Torsten Sattler, Tobias Hollerer, Matthew Turk, Marc Pollefeys

ECCV 2014 gDLS: A Scalable Solution to the Generalized Pose and Scale Problem Chris Sweeney, Victor Fragoso, Tobias Höllerer, Matthew Turk